Artificial Intelligence

Open Access Article

1 - Product purchasing prediction in an online store by designing an artificial neural network using clickstream data
Mahbube Mottaghi

One of the key capabilities of competitive online stores is the effective prediction of customer buying as much as possible to apply customer service strategies to convert users to buyers and to increase sales rates. Data mining and artificial intelligence techniques ar More

One of the key capabilities of competitive online stores is the effective prediction of customer buying as much as possible to apply customer service strategies to convert users to buyers and to increase sales rates. Data mining and artificial intelligence techniques are successful in categorizing and forecasting. Work has been proven in timely systems, such as e-commerce sites. In this paper, we propose a non-post-error neural network model with the aim of predicting purchases at user active stages in an online store. The training and evaluation of the neural network was performed using a set of revised sessions from server logs. The accuracy and retrieval power of the proposed neural network is 8999.79% and 89.696%, which indicates the high ability of this network (about 90%) in predicting the purchase Manuscript profile

Open Access Article

2 - Localization of Blockchain and E-Currency Model for E-Government Services
Maryam Niknezhad Sajjad Shokouhyar Mehrzad Minouei

10.29252/jist.8.31.157

Blockchain can reduce bureaucracy and increase the efficiency and performance of administrative processes through a platform possessing features and attributes such as storing and exchanging electronic messages in a decentralized environment and executing high level of More

Blockchain can reduce bureaucracy and increase the efficiency and performance of administrative processes through a platform possessing features and attributes such as storing and exchanging electronic messages in a decentralized environment and executing high level of security transactions and transparency, if used in government public service delivery. Many scholars believe that this distributed technology can bring new utilizations to a variety of industries and fields, including finance and banking, economics, supply chain, and authentication and increase economic productivity and efficiency dramatically by transforming many industries in the context of today's economy. The present study, presents the characteristics of the localized blockchain and e-currency conceptual model for the evolution of e-government services. It also examines the impact of the blockchain and e-currency model on the economy and electronic financial transactions as a viable, practical and constructive solution (rather than blocking and filtering of e-currency and blockchain). Ultimately designing a localized block chain and e-currency model, has played an effective role in exploit its high potential to speed up the administrative processes and reduce costs related to electronic transactions and payments in e-government and increase e-government revenues and ultimately it can speed up the customer service delivery and increase their satisfaction with the government. Manuscript profile

Open Access Article

3 - AI based Computational Trust Model for Intelligent Virtual Assistant
Babu Kumar Ajay Vikram Singh Parul Agarwal

10.29252/jist.8.32.263

The Intelligent virtual assistant (IVA) also called AI assistant or digital assistant is software developed as a product by organizations like Google, Apple, Microsoft and Amazon. Virtual assistant based on Artificial Intelligence which works and processes on natural la More

The Intelligent virtual assistant (IVA) also called AI assistant or digital assistant is software developed as a product by organizations like Google, Apple, Microsoft and Amazon. Virtual assistant based on Artificial Intelligence which works and processes on natural language commands given by humans. It helps the user to work more efficiently and also saves time. It is human friendly as it works on natural language commands given by humans. Voice-controlled Intelligent Virtual Assistants (IVAs) have seen gigantic development as of late on cell phones and as independent gadgets in individuals’ homes. The intelligent virtual assistant is very useful for illiterate and visually impaired people around the world. While research has analyzed the expected advantages and downsides of these gadgets for IVA clients, barely any investigations have exactly assessed the need of security and trust as a singular choice to use IVAs. In this proposed work, different IPA users and non-users (N=1000) are surveyed to understand and analyze the barriers and motivations to adopting IPAs and how users are concerned about data privacy and trust with respect to organizational compliances and social contract related to IPA data and how these concerns have affected the acceptance and use of IPAs. We have used Naïve Byes Classifier to compute trust in IVA devices and further evaluate probability of using different trusted IVA devices. Manuscript profile

Open Access Article

4 - Big IoT Data from the Perspective of Smart Agriculture
Bahareh Jamshidi Hossein Dehghanisani

10.52547/jstpi.20875.16.63.12

Internet of Things (IoT) as an emerging technology in the field of Information and Communication Technology is the next revolution related to the Internet application. IoT focuses on the communication of things such as sensors, drivers, devices, etc., with data collecti More

Internet of Things (IoT) as an emerging technology in the field of Information and Communication Technology is the next revolution related to the Internet application. IoT focuses on the communication of things such as sensors, drivers, devices, etc., with data collection capability controlling remote communication rather than focusing on the communication between people. Development of smart solutions and new technologies of IoT in agriculture can pave the way to a new paradigm of farming called “Smart Agriculture” by making a fundamental change in all aspects of current practices. IoT-based Smart Agriculture can improve agricultural productivity with more food production through the optimal utilization of the basic resources, minimizing environmental impacts, reducing the costs, and increasing the incomes with linking to the business market that facilitates sustainable agricultural development goals. IoT-based data is a collection of large data called “Big Data” that cannot be processed and managed by traditional databases and conventional management tools. IoT and Big Data technologies are interconnected and it can be predicted that the future of optimal agriculture in the world would not be possible to meet the food demand and sustainability of production without these technologies and Smart Agriculture. This article introduces IoT and Big Data technologies, as well as the relationship between them from the vision of Smart Agriculture. Moreover, the article aims to assist in the decision-making of the strategy from the pre-production stage to the business marketing in the country by assessing life cycle and technology trends. Some of the big IoT data applications in the Smart Agriculture cycle are also introduced. Manuscript profile

Open Access Article

5 - Clustering Iranian Gas Industry Managers and Ranking Their Competencies via the EFQM Excellence Model-based Evaluation with an Artificial Intelligence Approach
Ali reza Zamanian Majid Jahangirfard Farshad Hajalian

10.52547/istd.31542.8.31.51

This study attempted to lay the ground for linking human resources data based on the results of the organizational excellence model for about 51 parent and subsidiary companies of the National Iranian Gas Company using artificial intelligence (AI) and machine learning m More

This study attempted to lay the ground for linking human resources data based on the results of the organizational excellence model for about 51 parent and subsidiary companies of the National Iranian Gas Company using artificial intelligence (AI) and machine learning methods. The goal was to present a model for clustering chief organizational managers based on the companies’ evaluation using the European Foundation for Quality Management (EFQM)-based excellence model. The unique characteristic of this method is that it is formed based on the actual performance and output of successful organizations, headed by successful managers and leaders. Accordingly, a performance-based excellence model can be achieved in the future. The outcomes of model evaluation for 2017, 2018, and 2019 for 51 companies affiliated with the National Iranian Gas Company were first clustered. Clustering was performed for 3776 pieces of data via AI-based methods, and coding was done in Python. This applied study aimed to design and develop a novel method for discovering the experts and scientifically classifying the organization’s human resources based on credible data. It also aimed to integrate novel scientific domains of AI, including clustering, to pave the ground for human resources research. In the applied dimension, the results were used in organizational planning and decision-making to generate a tool whereby the future managerial performance of the organization and staff can be predicted based on appropriate human resources data. Finally, a ranking is presented based on the competency gap by using Fisher discriminant ratio (FDR). Manuscript profile

Open Access Article

6 - Architectural design training based on artificial intelligence
Nariman Nejati saeede kalantari MohammadReza Bemanian

10.52547/arch.1.1.7

Rapid development of artificial intelligence (AI) technologies and the interest in their application in educational fields lead to significant growth in the scientific literature concerning the application of AI in education. Architectural design is a complex design tha More

Rapid development of artificial intelligence (AI) technologies and the interest in their application in educational fields lead to significant growth in the scientific literature concerning the application of AI in education. Architectural design is a complex design that uses old experiences and creativity to produce new designs. The artificial intelligence use for the design process should not focus on finding a solution in a defined search space because the design requirements at the conceptual stage are not yet well defined. Instead, the artificial intelligence application should be considered to explore the design requirements and provide solutions to meet those requirements. The present applied study aims to provide an architectural design training model based on artificial intelligence in architecture education to provide an overview of artificial intelligence for the development and further implementation of the country's design education system. The type of this research is applied-developmental, and its method is descriptive-analytical and in terms of data collection surveys. A questionnaire was distributed among all faculty members of Azad University and experts in this field to collect the data required for the study. The collected data was analyzed by the method of content analysis. The results contain solutions to provide a model for architectural design training based on artificial intelligence. This study will acquaint professors and researchers to understand the status and development of financial and physical infrastructure and artificial intelligence hardware and software. Also, it will help increase the effectiveness and efficiency of its usage in architectural education. The findings also help activists, officials, educators, and researchers identify ways to improve designer education. Manuscript profile

Open Access Article

7 - Breast Cancer Classification Approaches - A Comparative Analysis
Mohan Kumar Sunil Kumar Khatri Masoud Mohammadian

10.52547/jist.33395.11.41.1

Cancer of the breast is a difficult disease to treat since it weakens the patient's immune system. Particular interest has lately been shown in the identification of particular immune signals for a variety of malignancies in this regard. In recent years, several methods More

Cancer of the breast is a difficult disease to treat since it weakens the patient's immune system. Particular interest has lately been shown in the identification of particular immune signals for a variety of malignancies in this regard. In recent years, several methods for predicting cancer based on proteomic datasets and peptides have been published. The cells turns into cancerous cells because of various reasons and get spread very quickly while detrimental to normal cells. In this regard, identifying specific immunity signs for a range of cancers has recently gained a lot of interest. Accurately categorizing and compartmentalizing the breast cancer subtype is a vital job. Computerized systems built on artificial intelligence can substantially save time and reduce inaccuracy. Several strategies for predicting cancer utilizing proteomic datasets and peptides have been reported in the literature in recent years.It is critical to classify and categorize breast cancer treatments correctly. It's possible to save time while simultaneously minimizing the likelihood of mistakes using machine learning and artificial intelligence approaches. Using the Wisconsin Breast Cancer Diagnostic dataset, this study evaluates the performance of various classification methods, including SVC, ETC, KNN, LR, and RF (random forest). Breast cancer can be detected and diagnosed using a variety of measurements of data (which are discussed in detail in the article) (WBCD). The goal is to determine how well each algorithm performs in terms of precision, recall, and accuracy. The variation of each classification threshold has been tested on various algorithms and SVM turned out to be very promising. Manuscript profile

Open Access Article

8 - Introducing robotic process automation as the connection point of Internet of everything with artificial intelligence projects
Seyed Omid Azarkasb Seyed Hossein Khasteh

10.61186/jstpi.34055.19.76.42

Robotic process automation is an emerging technology, which can be used to automate repetitive tasks with large but low volume. Automation space consists of providers of construction, operation and transfer contracts, consulting, business process automation and cloud ro More

Robotic process automation is an emerging technology, which can be used to automate repetitive tasks with large but low volume. Automation space consists of providers of construction, operation and transfer contracts, consulting, business process automation and cloud robotics process automation and markets. Automation refers to the use of technology to perform various tasks with minimal human intervention, so that the automation of the robotic process, intelligent process and various operations of the artificial intelligence business are its main components. In the meantime, the Internet of Things is one of the most up-to-date technologies in the new age of information and communication, which has a concept very close to the Internet of Things. The Internet of Things is a term used to describe physical objects around the world using their digital communication, while the Internet is all about data sets, considering people and processes. The reason for paying attention to the automation of the robotic process is the continuous expansion of the artificial intelligence market due to the widespread use of this technology in most important fields, especially in the components of the Internet. To make the most of robotic process automation, multiple discrete automations as well as artificial intelligence technologies can be used. With this approach, the robotic automation process can be considered as the connection point of everything Internet to software artificial intelligence projects. Therefore, robotic process automation, which aims to improve business processes, is proposed as an Internet connection point for everything with artificial intelligence projects. Manuscript profile

Open Access Article

9 - Designing a core competency model for Iranian gas industry managers based on the results of EFQM by artificial intelligence method
Ali reza Zamanian Majid Jahangirfard Farshad Haj alian

The success of organizations in achieving strategic goals is highly dependent on how the managers of that organization perform, and this success is more directly related to the selection and appointment of competent and knowledgeable managers at the top of the organizat More

The success of organizations in achieving strategic goals is highly dependent on how the managers of that organization perform, and this success is more directly related to the selection and appointment of competent and knowledgeable managers at the top of the organizational pyramid. Competency-based management is a strong approach to developing and maintaining the organization's human capital in the long run, and competency models are a useful tool for identifying and developing the knowledge, skills and abilities needed by managers. In general, competency is a set of knowledge, skills, attitudes, abilities, interests and personality traits that enable employees to perform job-related activities effectively and perform job performance as expected or beyond expectations. Do." In accordance with the competencies defined in the evaluation center of the managers of the National Iranian Gas Company and according to the nature of trainable competencies, three categories of communication competencies, managerial and leadership competencies, cognitive and one category of untrained personality competencies have been defined. In this article, we have tried to achieve a set of core competencies in the field of competencies of gas industry managers, which has been achieved based on the performance of managers in organizational excellence. These core competencies are the beacon of the organization in achieving strategic goals and can be purposefully effective in the shortest time and with the least cost in the development process of the managers of the organization. Manuscript profile

Open Access Article

10 - Examining the role of influencing factors on value co-creation through technologies equipped with artificial intelligence and knowledge management in the tourism industry
Mohammad bashokouh Iman Ghasemi hamedani

10.61186/jstpi.40640.19.75.42

In the 21st century, the growth of new technologies, especially in tourism, is inevitable. The development of information and communication technology has also caused significant changes in tourism behavior. The current research is devoted to the analysis of the effecti More

In the 21st century, the growth of new technologies, especially in tourism, is inevitable. The development of information and communication technology has also caused significant changes in tourism behavior. The current research is devoted to the analysis of the effective factors on value co-creation through technologies equipped with artificial intelligence and knowledge management in the tourism industry. This research is descriptive-correlation type. The statistical population of the research consists of employees and experts of the tourism industry, and 190 sample members were randomly selected. Data were analyzed using spss software and partial least squares method and Smart PLS software. were analyzed. Customer-based factors with a coefficient of 0.364 on the effectiveness of value co-creation, technology equipped with artificial intelligence with a coefficient of 0.802 on customer-based factors and with a coefficient of 1.097 on the effectiveness of value co-creation, and finally knowledge management with a coefficient of 0.540 The effectiveness of value co-creation has a significant impact. And customer-based factors with a coefficient of 0.292 were able to mediate the relationship between technology equipped with artificial intelligence and the effectiveness of value co-creation. Examining the results of this research showed that the significant effect of customer-based factors, technologies equipped with artificial intelligence and knowledge management on the effectiveness of value co-creation was confirmed. And customer-based factors were able to mediate the relationship between AI-enabled technologies and value co-creation effectiveness. Finally, technologies equipped with artificial intelligence were able to mediate the relationship between customer-based factors and the effectiveness of value co-creation. Manuscript profile

Open Access Article

11 - The fourth industrial revolution and its human dangers in quasi-modern authoritarian political systems
Seyyed MohammadReza Mottaghi hasan khosravi Bijan Abdolkarimi Bijan Abbasi

<!-- [if gte mso 9]><xml> <w:WordDocument> <w:View>Normal</w:View> <w:Zoom>0</w:Zoom> <w:TrackMoves/> <w:TrackFormatting/> <w:PunctuationKerning/> <w:ValidateAgainstSchemas/> <w:SaveIfXMLInvalid>false</w:SaveIfXMLInvalid> <w:IgnoreMixedConte More

Feasibility of Adjusting Human Rights Risks Affected by the Fourth Industrial Revolution in Political Structures Based on Pseudo-Modern Authoritarianism   Seyyed Mohammad Reza Mottaghi<a style="mso-footnote-id: ftn1;" title="" href="#_ftn1" name="_ftnref1">*</a>   Hassan Khosravi<a style="mso-footnote-id: ftn2;" title="" href="#_ftn2" name="_ftnref2">**</a>    Bijan Abdolkarimi<a style="mso-footnote-id: ftn3;" title="" href="#_ftn3" name="_ftnref3">***</a>   Bijan Abbasi<a style="mso-footnote-id: ftn4;" title="" href="#_ftn4" name="_ftnref4">****</a>   <a name="_Hlk160321101"></a>The Fourth Industrial Revolution represents a transformative wave in the industry with the potential to impact various facets of human existence, promising widespread individual and societal prosperity. However, it also presents a significant risk, particularly for governments not firmly rooted in democratic principles, who may be tempted to assert control over their citizens due to the expanded capabilities afforded by this revolution. Such a scenario, if realized, threatens the emergence of new dictatorships and erodes the individuality of citizens. This article, employing an analytical-descriptive approach, seeks to explore the multifaceted human rights crises precipitated by these conditions. It endeavors to address the question: How can individual freedoms and human and citizenship rights be safeguarded against governmental encroachment in this era? Based on the results of this research, due to the expansion of capabilities arising from the Fourth Industrial Revolution, the potential for government abuse is increasing more than ever, inviting all political structures towards authoritarianism. Consequently, to prevent this situation and safeguard the rights and freedoms of citizens, the current governance models need to be re-evaluated, emphasizing on aspects of enhancing freedoms. These changes should aim to reduce the intrusion of governments into personal spheres as much as possible, moving towards absolute neutrality.   Keyword: The fourth industrial revolution, authoritarianism, cyber dictatorship, pseudo-modern government and artificial intelligence.   <div style="mso-element: footnote-list;"> <hr align="left" size="1" width="33%" /> <div id="ftn1" style="mso-element: footnote;"> <a style="mso-footnote-id: ftn1;" title="" href="#_ftnref1" name="_ftn1">* PhD of </a>Public law, North Tehran Branch, Islamic Azad University, Tehran, Iran. mohammadreza.mottaghi@iranian.ac.ir </div> <div id="ftn2" style="mso-element: footnote;"> <a style="mso-footnote-id: ftn2;" title="" href="#_ftnref2" name="_ftn2">** </a>Corresponding Author: Associate Professor, Department of Public Law, Payam Noor University, Tehran, Iran. h.khosravi@rey.tpnu.ac.ir </div> <div id="ftn3" style="mso-element: footnote;"> <a style="mso-footnote-id: ftn3;" title="" href="#_ftnref3" name="_ftn3">*** Associate Professor, Departme</a>nt of Philosophy, North Tehran Branch, Islamic Azad University, Tehran, Iran. abdolkarimi12@gmail.com </div> <div id="ftn4" style="mso-element: footnote;"> <a style="mso-footnote-id: ftn4;" title="" href="#_ftnref4" name="_ftn4">****</a> Associate Professor, Department of Public Law, University of Tehran, Iran. Bizhan_abbasy@yahoo.com </div> </div>   Manuscript profile

Open Access Article

12 - The extent of the effects of Covid-19 on the global patterns of digital transformation
seyed omid azarkasb Seyed Hossein Khasteh

Although the corona crisis is a health phenomenon and a disease, over time it has become a super phenomenon that has involved other parts of society. In the current situation, all countries are dealing with this crisis in different ways and trying to control this crisis More

Although the corona crisis is a health phenomenon and a disease, over time it has become a super phenomenon that has involved other parts of society. In the current situation, all countries are dealing with this crisis in different ways and trying to control this crisis with less damage. As a result, community management has been placed in a strategic situation and a great managerial experiment. With the covid-19 pandemic, there have been global changes in the profitability of startups. The stock market crashed and there was recession and unemployment all over the world. In general, startups in digital markets performed better than traditional industries. Some time later, the digital economy began to adapt according to its original nature, business models changed and digital methods became more powerful than what was predicted, and technological solutions to overcome the challenges of Covid-19 were gradually applied in all industries. Hence, regardless of the current situation, measures related to Covid-19 have the potential to change the market again. The digital world's global response to Covid-19 is now taking place in the three areas of detection, diagnosis and prevention, and treatment, and digital companies' performance in risk and data analytics, health and wellness, crisis management, and education, in response to The Covid-19 pandemic has become more severe. Therefore, for the future, experts are both waiting for risk and looking for opportunities Manuscript profile

Open Access Article

13 - Artefacts and Producers Mapping of Iran's Artificial Intelligence Ecosystem based on Transformational Levels
hamed ojaghi Iman Zohoorian Nadali Fatemeh Soleymani Roozbahani

As an emerging technological field, artificial intelligence has received increasing attention from companies and governments. The development of artificial intelligence both at business and country levels depends on knowing the current situation. This paper identifies t More

As an emerging technological field, artificial intelligence has received increasing attention from companies and governments. The development of artificial intelligence both at business and country levels depends on knowing the current situation. This paper identifies the artifacts and producers presented in this field and maps them to transformational levels. Products/services and producers are achieved through capabilities provided by artificial intelligence. Then, based on the classification methodology and meta-characteristics, the transformational levels of the artifacts of Iran's artificial intelligence ecosystem have been extracted. 562 products/services were identified, which were offered by 112 companies. Machine vision and natural language processing have been at the top of the technologies used, with 44 and 27 percent of the products allocated to them, respectively. Artifacts and producers were classified into seven transformative levels: individual, organization, industry, electronic chip/hardware, society, platform, code/algorithm/library, and infrastructure. Iran's artificial intelligence productions have not grown in a balanced way. The three levels of platform, code/algorithm/library, and infrastructure as the main generator of other artificial intelligence products/services have had the lowest amount of production. It is suggested that a specialized marketplace for the supply of artificial intelligence application programming interfaces should be put on the agenda to stimulate the formation of the ecosystem. Manuscript profile

Open Access Article

14 - An Overview of Artificial Intelligence Applications in Prediction and Diagnosis of Diseases Occurrence in Veterinary Medicine: Challenges and Techniques
Mahdi Bashizadeh Parham Soufizadeh Mahdi Zamiri Ayda Lamei Matin Sotoudehnejad Mahsa Daneshmand Melika Ghodrati Erika Isavi Hesameddin Akbarein

https://doi.org/10.61186/eltiamj.10.2.7

Early diagnosis of diseases is one of the main goals of health and wellness centers. Timely diagnosis can reduce the potential damage of diseases. The importance of this issue in veterinary medicine multiplies due to its combination with economic goals. Therefore, a pre More

Early diagnosis of diseases is one of the main goals of health and wellness centers. Timely diagnosis can reduce the potential damage of diseases. The importance of this issue in veterinary medicine multiplies due to its combination with economic goals. Therefore, a predictive approach is necessary for early diagnosis of diseases. This approach should be evidence-based and highly accurate. It should also be economically efficient. Artificial intelligence is the simulation of human intelligence and judgment by a computer or a robot that is programmed or trained to perform tasks that normally need human abilities. The emergence of artificial intelligence and machine learning techniques in today's world has improved the existing functions in health care systems. So that with the application of this technology, a significant progress has been made in the procedures of event prediction and disease diagnosis, management and health at the macro level, etc. Furthermore, the scope of diagnosable diseases is extensive, encompassing any ailment for which relevant data can be processed by artificial intelligence algorithms. The trained model has the capability to diagnose a wide range of diseases, with accuracy contingent upon factors such as disease indicators, collected data, and other pertinent variables. In this review article, the most important applications of artificial intelligence in veterinary medicine will be mentioned, and in general, these applications will be examined in various fields such as diagnosis of common diseases, differential diagnosis, prediction of disease occurrence, veterinary diagnostic imaging techniques, veterinary clinical pathology, etc. In addition, the challenges in this field will also be mentioned. This article is a review of recent studies in this fiel. Manuscript profile

Open Access Article

15 - Etiology of Robot Crimes: With Emphasis on Rational Choice Theory
mahboub afrasiab kamran shirzad

Nowadays, artificial intelligence has become increasingly important as a technological advancement. Different applications of artificial intelligence in different realms, while being the source of services for humans, but the emergence of robotic crimes has posed challe More

Nowadays, artificial intelligence has become increasingly important as a technological advancement. Different applications of artificial intelligence in different realms, while being the source of services for humans, but the emergence of robotic crimes has posed challenges for humans. Therefore, the main issue in this area is the intervention of robots in criminal behavior. Regarding the crimes of the first generation of robots / non-intelligent robots, it should be said that robots have no role in committing a crime and are only a tool in the hands of the programmer. However, the generation of intelligent robots are active and rational social actors who move beyond the will of the programmer and seek to make moral decisions. The study, which seeks to analyze the crimes of robots in the light of rational choice theory, concludes that intelligent robots are among the white-collar criminals among criminals who pay the most attention to cost-benefit analyzes. In addition, the first generation of robots lack the ability to measure the benefits and costs of crime Manuscript profile

Open Access Article

16 - Polymer processes in the light of artificial intelligence
Zeinab Sadat Hosseini

Artificial Intelligence (AI) is transforming the daily life of humans on the planet by entering different fields. This tool has opened a new window on the activists in the field of polymer science and engineering, like other sciences, and it can be widely used in the ma More

Artificial Intelligence (AI) is transforming the daily life of humans on the planet by entering different fields. This tool has opened a new window on the activists in the field of polymer science and engineering, like other sciences, and it can be widely used in the manufacture of polymers and their derivatives, mixing processes, forming polymers, composites, and designing and manufacturing the related equipment. Artificial intelligence algorithms can enable the analysis of a large and unlimited amount of data obtained from sensors and process monitoring systems. These patterns and methods have provided the ability to process cases that are difficult or impossible to detect manually and are used in modeling and simulation, process control, error detection and recommender systems, and can be used to achieve optimal mixing by considering the properties of the mixture components and technical specifications, can be provided recommendations for the desired product. Artificial intelligence can control the process factors to ensure consistency and uniform dispersion of additives, fillers, and colors, resulting in higher quality mixing and products with optimized properties. It can also help reduce the cycle time without compromising product quality, which can lead to significant cost savings and the greater productivity, and can enable preventative maintenance. In this study, the application of artificial intelligence in some polymer processes was investigated, specifically in the rubber compounding, the composite preparation and the extrusion, which promises a new direction in the polymer processes. Manuscript profile

Open Access Article

17 - Platform for manufacturing and intelligent production of polymers: genome engineering of polymer materials
Zeinab Sadat Hosseini

High-performance polymer materials are the foundation of high-level technology development and advanced manufacturing. Recently, polymeric material genome engineering (PMGE) has been proposed as a basic platform for the intelligent production of polymeric materials. Po More

High-performance polymer materials are the foundation of high-level technology development and advanced manufacturing. Recently, polymeric material genome engineering (PMGE) has been proposed as a basic platform for the intelligent production of polymeric materials. Polymeric Material Genome Engineering (PMGE) is an emerging field that combines the principles of the Materials Genome Initiative with polymer science to accelerate the discovery and development of new polymeric materials. The concept of PMGE is to create a comprehensive database of polymer properties obtained from both computational and experimental methods. This database can then be used to train machine learning models that can predict the properties of new polymers. However, the development of PMGE is still in its infancy and many issues remain to be addressed. Overall, PMGE represents a significant step towards the intelligent manufacturing of polymeric materials, with the potential to revolutionize the field by enabling faster and more efficient development of new materials. In this review are presented the fundamental concepts of PMGE and a summary of recent research and achievements, then are investigated the most important challenges and the future prospects. Specifically, this study focuses on the property prediction approaches, including of the proxy approach and the machine learning, and discusses the potential applications of PMGE, i.e. the advanced composites, the polymer materials used in the communication systems, and electrical integrated circuit manufacturing. Manuscript profile

List of Articles Artificial Intelligence

Rimag

Links

Related Centers

Technical Support

Official pages