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  IJIMAI 2025 - Regular Issue.

  Vol. 9 No. 4 (2025)

  Artificial Intelligence (AI) is a scientific discipline that aims to drive disruptive scenarios for science-based technical developments that solve complex problems. The IJIMAI journal’s scope is precisely to demonstrate how the combination of two factors — technical foundations and sought-after applications — must guide future AI developments to find solutions to complex real-world problems. This IJIMAI publication opens with an article that considers the current framework for AI fundamentals: how can we improve AI technology to find solutions to real-unsolved problems? The initial answer seems to be related with a desired self-consistent procedure: let machines learn from our experience. In the article by Alotaibi et al., the analysis of neural networks in terms of the parameters used, how they work, and how do they respond to the problem itself led the authors to a rationale for decision-making regarding the performance of different neural models. The immediate question that arises is whether there are any universal and fundamental criteria that can be used to define the models that guide AI methods. Apparently, there are not such universal methods, and we are faced with a challenging open problem. Subsequent manuscripts will provide readers with more in-depth insights into this issue.

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  IJIMAI 2025 - Regular Issue

  Vol. 9 No. 3 (2025)

  This issue of the journal begins by reviewing the advances and challenges in AI-generated text detection. The rapid development of AI in recent times has raised many ethical issues. One such case involves fraud and the use of AI-generated texts as if they were one's own. Solving this problem and developing new effective detectors to identify such cases are vital for the correct and ethical use of artificial intelligence. Next, we present an article demonstrating the great advantages that the use of new large language models can provide for the augmented reality field. Specifically, the authors proposed a new method of assistance for the understanding and easy documentation of these environments by expert users. Traditionally, the field of augmented reality requires experts to enter information using structured formats, which, for them, are rather tiresome to use. The use of large language models makes it possible to simplify this task and add information to augmented reality environments in a simpler and more convenient way.

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  IJIMAI 2025 - Regular Issue

  Vol. 9 No. 2 (2025)

  This regular issue begins with a series of five articles covering key advancements in the area of computing vision. In the following article, we move from the area of computer vision to another fast developing area, which is natural language processing (NLP). The following articles correspond to a monograph section on the Effects of Culture on Open Science and Artificial Intelligence in Education, compiled and edited by Tlili, Burgos and Kinshuk.

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  IJIMAI 2024 - Regular Issue

  Vol. 9 No. 1 (2024)

  The history of IJIMAI is a story of commitment, inclusion, and accessibility within the academic world. Since its founding, the journal has aimed to provide an open, free, and high-quality space for researchers and professionals in the fields of artificial intelligence and interactive technologies. The decision to offer open access to all was a clear commitment to democratizing knowledge and making scientific advances available to the entire community without financial barriers or access restrictions. Furthermore, IJIMAI has been developed, to date, on an open-source platform, underscoring our commitment to the values of transparency, accessibility, and global collaboration. Throughout these volumes, IJIMAI has maintained a rigorous approach and an interdisciplinary vision, allowing us to address relevant topics from artificial intelligence and machine learning to interactive multimedia and complex systems. Each issue has been the product of a shared effort among authors, reviewers, and the editorial team, all working tirelessly to provide high-quality research and to promote scientific advancement in key areas.

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  IJIMAI 2024 - Special Issue on Deep Learning Techniques for Semantic Web in Web of Things (WoT) and Internet of Everything (IoE)

  Vol. 8 No. 7 (2024)

  With the rise of global economy and Electronic Commerce (EC), efficient inter-organizational planning and deployment for value chain processes have become important. Radio-frequency Identification (RFID), Near Field Communication (NFC), and related wireless technologies are evaluated to be some of the most significant technological innovations in the twenty-first century. In the past few years, wireless and context-awareness technology have led to much hope and optimism. The mainstream press hails these innovations as the avant-garde in technology and business. The Internet of Everything (IoE) goal is the intelligent connection of people, process, data, and things. The IoE describes a world where billions of objects have sensors to detect, measure, and assess their status, all connected over public or private networks using standard and proprietary protocols. Hence, this special issue investigates the state-of-art AI and deep learning approaches for successful systems or applications in the IoE environment. In addition, this special issue also wants to understand the direct and indirect effects of using these smart technologies to build language information processing based on the Web of Things (WoT) around the smart cities and societies.

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  IJIMAI 2024 - Regular Issue - Vol. 8 Issue 6

  Vol. 8 No. 6 (2024)

  This regular issue consists of 16 articles that use artificial intelligence or computational systems to come up with new solutions and solve problems more effectively. The issue showcases the use of Artificial Intelligence or computational systems that contribute to new knowledge with innovative applications. In this issue you can find different articles on game theory, models for collaborative filtering, text classification, fake news detection system, identification system, semi eager classifier, longitudinal segmented analysis, etc.

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  IJIMAI 2024 - Special issue on Generative Artificial Intelligence in Education.

  Vol. 8 No. 5 (2024)

  Generative Artificial Intelligence (GenAI) has emerged as a promising technology that can create original content, such as text, images, and sound. The use of GenAI in  ducational settings is becoming increasingly popular and offers a range of opportunities and challenges. This special issue explores the management and integration of GenAI in educational settings, including the ethical considerations, best practices, and opportunities.

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  IJIMAI 2023 - Regular Issue

  Vol. 8 No. 4 (2023)

  The International Journal of Interactive Multimedia and Artificial Intelligence – IJIMAI –provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances in Artificial Intelligence (AI) tools or tools that use AI with interactive multimedia techniques. The present regular issue comprises different topics as generative AI, brain and main inspired computing, bird species identification, spam detection, recommendation systems, synthetic aperture radar automatic target recognition, hand gestures recognition, anomalies detection for video surveillance systems, disease detection, social networks analysis, or user experience. The collection of articles shows the wide use of deep learning techniques, although classical machine learning techniques, among others, are also present.

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  IJIMAI 2023 - Special Issue on Practical Applications of Agents and Multi-Agent Systems.

  Vol. 8 No. 3 (2023)

  Research in Agents and Multiagent Systems has matured significantly in recent years, representing one of the main branches of Artificial Intelligence and currently there are numerous effective applications of these technologies combined with Deep Learning, Computer Vision or Natural Language Processing, including areas such as healthcare and Ambient Intelligence, smart cities and mobility, Industry 4.0, educational technology, and fintech, among many others. In this regard, the International Conference on Practical Applications of Agents and Multi-Agent System (PAAMS) provides an international forum to present and discuss the latest scientific advances and their effective applications in different sectors, evaluate the impact of the approach and facilitate technology transfer among different stakeholders. Currently, a series of co-located events specialized in different areas of research are held simultaneously with PAAMS, these being the International Congress on Blockchain and Applications (BLOCKCHAIN), the International Conference on Distributed Computing and Artificial Intelligence (DCAI), the International Conference on Decision Economics (DECON), the International Symposium on Ambient Intelligence (ISAmI), the International Conference on Methodologies and Intelligent Systems for Technology Enhanced Learning (MIS4TEL), and the International Conference on Practical Applications of Computational Biology & Bioinformatics (PACBB). In this regard, the present Special Issue includes a selection of extended papers presented at the 20th International Conference PAAMS 22 and its co-located events and held in L’Aquila (Italy), July 13-15, 2022.

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  IJIMAI Year 2023.

  Vol. 8 No. 2 (2023)

  Artificial Intelligence (AI) represents one of the fastest growing areas of knowledge, sectors and fields of action globally. This growth has allowed to mark different positions, where the most favorable ones are oriented to its unquestionable contribution to facilitate decision making in various fields of society, as well as other sectors that mark a strong position for its use to be carried out in a regulated and measured way due to the scope and risks to which we are exposed. For this reason, rigorous methods are increasingly required for the design and development of AI-based computational models; methods that involve strict mechanisms for their validation, as well as the analysis of possible risks and scope that they may have on the field of application where they are being exposed. This type of aspects would definitely mark a valuable and relevant milestone to define several paths within which we can find two: 1) if it is definitely necessary to set limits on the use of AI by establishing increasingly sophisticated regulatory frameworks on various areas involving data protection and regulated use of the same, and 2) to remove all barriers so that it can be exploited openly in all its dimensions in any area of our society. Hence the importance of analysing the different risks and threats that AI may present within the particular context in which it is being applied. Based on this panorama, this regular edition of the “International Journal Interactive Multimedia and Artificial Intelligence” presents a series of papers where proposals are oriented to different fields and sectors, which make use of diverse approaches, methods, models and AI based systems that allow us to have a generalized idea of how these challenges are being addressed in some fields of our society. In particular, this regular issue collects research topics focusing on addressing the problems of evolving recommender systems, classification models, decision support systems, system modelling, data analytics, optimization algorithms, image retrieval, deep neural networks, social network analysis, and the relevance of the design of User Experience (UX) proposals.

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  IJIMAI 2023 - Special Issue on AI-driven Algorithms and Applications in the Dynamic and Evolving Environments

  Vol. 8 No. 1 (2023)

  With the rapid development of information and communication technologies, artificial intelligence and IoTs, more and more advanced technologies, such as machine learning, reinforcement learning, neural networks and fuzzy systems, have been introduced into industrial practices. The application of advanced technologies has greatly promoted the process of industrial revolution. However, there is big gap between controlled simulation and real evolving environment, which results in the unsatisfactory performance of the typical algorithms in practical environments. For example, in
  Underwater IoTs, a dynamic and uncertain marine environment can cause equipment damage, resulting in huge financial losses. Therefore, improving the robustness and adaptability of algorithms and systems, and proposing new solutions in practical applications to meet the requirements of self-developing, self-organizing, and evolving systems is essential to promote intelligent industrial applications.
  This Research Topic aims to collect researches focusing on addressing the problems of evolving system modelling, clustering, classification, prediction and control in non-stationary, unpredictable environments. The scope of this topic includes: (1) Robustness of environment modeling in evolutionary system, (2) Robustness of artificial intelligence algorithms, (3) Adaptability of neural networks and systems, (4) Prediction of intelligent algorithms in dynamic environments, (5) Improvement of robustness in deep learning algorithms, (6) Interpretability of predictive models in dynamic environments, (7) Application of AI technology in Industrial Internet of Things, (8) Uncertainty in Intelligent Transportation System, (9) The dynamic environment of Underwater Internet of Things, (10) Applications and migration of intelligent algorithms.

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  IJIMAI 2025 - Regular Issue.

  Vol. 7 No. 7 (2022)

  The International Journal of Interactive Multimedia and Artificial Intelligence – IJIMAI –provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances in Artificial Intelligence (AI) tools or tools that use AI with interactive multimedia techniques. The present regular issue includes 13 articles. The first block of articles deals with problems related to images as diverse as the artificial generation of images or the optimization of their storage and transmission through compression techniques. The applications are very diverse, including the identification of forgeries, tumors or even misplaced face masks. Another block contains only one paper on speech recognition targeted on specific users suffering from dysarthria. Other block of two articles focuses on the education field problems of automation of teachers’ certification processes or prediction of students’ academic failure. Last block of articles covers services and products, commerce, marketing and user experience issues, as well as the ethical implications of AI.

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  IJIMAI 2022 - Special Issue on New Trends in Disruptive Technologies, Tech Ethics and Artificial Intelligence.

  Vol. 7 No. 6 (2022)

  The international conference “Disruptive Technologies Tech Ethics and Artificial Intelligence” (DITTET) provides a forum to present and discuss the latest scientific and technical advances and their implications in the field of ethics. It also provides a forum for experts to present their latest research in disruptive technologies, promoting knowledge transfer. It provides a unique opportunity to bring together experts in different fields, academics, and professionals to exchange their experience in the development and deployment of disruptive technologies, artificial intelligence, and their ethical problems. DITTET intends to bring together researchers and developers from industry, humanities, and academia to report on the latest scientific advances and the application of artificial intelligence, as well as its ethical implications in fields as diverse as climate change, politics, economy or security in today’s world. This Special Issue contains extended versions of selected works presented at the 1st International Conference on Disruptive Technologies, Tech Ethics and Artificial Intelligence (DiTTEt 2021), held in Salamanca (Spain) in September 2021.

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  IJIMAI 2022 - Special Issue on Multimedia Streaming and Processing in Internet of Things with Edge Intelligence.

  Vol. 7 No. 5 (2022)

  As the Internet of Things (IoT) further develops and expands to the Internet of Everything (IoE), high-speed multimedia streaming data processing, analysis, and shorter response times are increasingly becoming the demands of today. Driven by the Internet of Things (IoT), a new computing paradigm, Edge computing, is currently developing rapidly. Compared with traditional centralized generalpurpose computing, Edge computing is a distributed architecture. The operations of applications, data and services are moved from the central node of the network to the edge nodes on the network logic for processing. Under this structure, the analysis of data and the generation of knowledge are closer to the source of the data, so it is more suitable for processing. However, with the rapid development of 5G, IoT and other services and scenarios, there are more and more intelligent terminal devices. Multimedia streaming processing in IoT becomes a very prominent problem. To overcome this problem, the adoption of intelligent Edge or Artificial Intelligence (AI) powered Edge computing (Edge-AI) can achieve the goals of lower cost, higher security, lower latency, and ease of management. Recently, many network modeling methods, computing algorithms, and signal processing technologies have been successfully developed and applied to multimedia streaming processing in IoT with Edge Intelligence. A total of 13 papers are presented in this special issue for the purpose of collecting the latest developments and results on this research topic. We divide them into three categories: production and life applications, security, and text and image processing.

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  IJIMAI 2022 - Regular Issue

  Vol. 7 No. 4 (2022)

  The International Journal of Interactive Multimedia and Artificial Intelligence – IJIMAI (ISSN 1989-1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances in Artificial Intelligence (AI) tools or tools that use AI with interactive multimedia techniques. The present volume (June 2022), consists of 20 articles of diverse applications of great impact in several fields. The issue consistently showcases the utilization of AI techniques or mathematical models with an artificial intelligence base, as a standard element. Different manuscripts on usability and satisfaction, machine learning models, genetic algorithms, computer entertainment technologies, oral pathologies, optimistic motion planning, data analysis for decision making, etc. can be found in this volume.

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  IJIMAI 2022 - Special Issue on Artificial Intelligence in Economics, Finance and Business.

  Vol. 7 No. 3 (2022)

  Machine learning (ML) is generating new opportunities for innovative research in areas apparently unrelated such as, economics, business or/and finance. Specifically, it has also been widely used in applications related to the economic and financial analysis, such as economic recessions prediction, labor market trends, risk management, prices analysis among others. However, it is important to note the differences between classical statistics/econometrics and machine learning. On the one hand, econometrics set out to build models designed to describe economic problems, while machine learning uses algorithms, generally for prediction, classification, and also, can manage a large amount of structured and unstructured data and make fast decisions or forecasts. As S. Athey points out, perhaps “a key advantage of ML is that it frames empirical analysis in terms of algorithms that estimate and compare many alternative models. This approach contrasts with econometrics, where (in principle, though rarely in reality) the researcher picks a model based on principles and estimates it once”. This Special Issue presents nine contributions that illustrate both approaches in the domain of economics, finance and business.

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  IJIMAI 2021 - Regular Issue.

  Vol. 7 No. 2 (2021)

  The International Journal of Interactive Multimedia and Artificial Intelligence - IJIMAI - provides a space in which scientists and professionals can report about new advances in Artificial Intelligence (AI). On this occasion, for the last edition of the year, I am pleased to present a regular issue including different investigations covering aspects and problems in AI and its use in various fields such as medicine, education, image analysis, protection of data, among others.

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  IJIMAI 2021 - Special Issue on Artificial Intelligence, Spirituality and Analogue Thinking.

  Vol. 7 No. 1 (2021)

  Research on the relationship between computing and the meaning of human life flourishes proportionally to the increasing digitalization of our world. More and more, reflections on ethics and politics, spiritual values and religious experiences, beliefs, and practices make use of digital media in order to spread their content or express themselves. If we still consider that there is truth in the well-known dictum that “the medium is the message”, then it is worth asking how the content of these reflections and practices are changing today. Every change is the introduction of something new, and this novelty can be interpreted either as the improvement or the worsening of the current situation. Generally speaking, research on either the positive or negative interactions between the advances in AI and the dimension of spirituality and analogue thinking are based on at least three approaches. The first produces analogies between concepts from human studies and concepts from computer science; for instance, speaking of “modeling” for concepts in human sciences, or considering the universe to be intelligently organized in an algorithmic order. The second approach is the application of research on AI and computer science to develop new insights on the extents, limits, and perfectibility of spiritual topics, discussions, or even practices. Finally, the third approach applies sociological, philosophical, aesthetic, or even theological concepts to assess the changes that digitalization introduces in spiritual practices, beliefs, and cultures. This special issue analyzes the current state of the art, and it addresses all three models of the research. By doing so, the issue will place the general question of the distinction between human and machine into sharper relief.

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  IJIMAI 2021 - Special Issue on Current Trends in Intelligent Multimedia Processing Systems.

  Vol. 6 No. 7 (2021)

  In today’s world, we have witnessed an onset of multimedia content being uploaded/downloaded and shared through a multitude of platforms both online and offline. In support of this trend, multimedia processing and analyzing has become very popular in all kinds of information extraction and attracts research interest from both academia and industry. This is to be expected as the multimedia digital world is worth trillions of dollars worldwide. However, multimedia information is hard to encode, interpret and recognize because it is combined with many complex components. Recently, there are many research areas related to the overall notion of intelligent multimedia processing. Therefore, the collected papers in this special issue provide a systematic overview and state-of-the-art research in the field of intelligent multimedia processing and analyzing system and outline new developments in fundamental, theorems, approaches, methodologies, software systems, recommendations, and real-world applications in this area.

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  IJIMAI 2021 - Regular Issue.

  Vol. 6 No. 6 (2021)

  The International Journal of Interactive Multimedia and Artificial Intelligence – IJIMAI (ISSN 1989-1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence (AI) tools or tools that use AI with interactive multimedia techniques. The present volume, June volume, consists of 24 articles of diverse applications of great impact in different fields, always having as a common element the use of artificial intelligence techniques or mathematical models with an artificial intelligence base. As it is logical, COVID is present in several manuscripts of this volume, always focused on the prediction and estimation of the presence of the disease. In addition to this expected presence, there are manuscripts of a semantic or syntactic analysis nature as well as works in the field of management and recommender systems. It is also worth mentioning several works in the field of video compression and signal processing. Of course, the Internet of Things and text analysis for several applications could not be missed in this volume. Finally, different manuscripts on usability and satisfaction, investments, solar panels, malware detection, video analysis, audio analysis and learning can also be found in this volume.

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  IJIMAI 2021 - Special Issue on Artificial Intelligence, Paving the Way to the Future.

  Vol. 6 No. 5 (2021)

  Artificial Intelligence has become nowadays one of the main relevant technologies that is driven us to a new revolution, a change in society, just as well as other human inventions, such as navigation, steam machines, or electricity did in our past. There are several ways in which AI might be developed, and the European Union has chosen a path, a way to transit through this revolution, in which Artificial Intelligence will be a tool at the service of Humanity. That was precisely the motto of the 2020 European Conference on Artificial Intelligence (“Paving the way towards Human-Centric AI”), of which these special issue is a selection of the best papers selected by the organizers of some of the Workshops in ECAI 2020.

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  IJIMAI 2020 - Regular Issue.

  Vol. 6 No. 4 (2020)

  The present regular issue consists of 10 works with a great variety of topics. It begins with two interesting health-related works: the first one, reviews different approaches that can help fight COVID-19 and the second one, tries to solve an optimal control problem of cancer treatment using an artificial neural network. It continues with algorithms that can help in industrial processes such as reducing the temperature of electronic circuits or carrying out chromium layer thickness forecast. Radically changing the subject, the next paper proposes a method to identify the most influential nodes in social networks that can be the source of rumor spreading. Another different work focuses on how to interact with virtual 3D environments in a cheap way by using multiple embedded markers in a specialized manner. In this issue, a work has also been carried out to improve the identification of polysemy in natural language processing tasks. The following two works are related to assess students satisfaction: on the perception of students when they are evaluated by an artificial intelligence and not by a human, and on the quality of the learning content and the methodology at unit level for any course and at any time. Finally, the issue closes with a paper in which a tool can classify the emotions of users based only on non-invasive techniques like their keyboard typing and mouse usage pattern. As a novelty, we are pleased to announce that this is the first regular issue in IJIMAI that contains a special section with a collection of works on a specific topic. In this case, the section is presented under the title "Artificial Intelligence and Sensor Informatics: Exploring Smart City and Construction Business Implications” and is edited by Prof. Shaofei Wu from the Wuhan Institute of Technology (China). The section includes 7 exciting works which topics range from industrial robots to energy estimation based on machine learning algorithms.

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  IJIMAI 2020 - Special Issue on Artificial Intelligence and Blockchain.

  Vol. 6 No. 3 (2020)

  In this special issue, we want to gather some innovative applications that are currently pushing forward the research on Blockchain technologies. In particular, we are interested also in those applications that put the focus on the data, enabling new processes that are able to leverage relevant knowledge from the data. This special issue will be successful if readers gain a better understanding on how Blockchain can be applied to very diverse areas, and might even be interested in designing, implementing and deploying an innovative solution to a completely different field of knowledge. We hope this Special Issue can provide a better understanding and key insights to readers on how Blockchain and artificial intelligence are cross-fertilizing to revolutionize many aspects in our societies.

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  IJIMAI 2020 - Regular Issue.

  Vol. 6 No. 2 (2020)

  The present regular issue starts with two articles related to one of the most relevant problems nowadays, which is the COVID-19 pandemic. Over the past years, there have been great advancements in health, but the evidence is that it remains a challenge to deal with pandemics and to achieve global health. IJIMAI has always reserved a space for heath topics and in the last years, a Special Issue on Big Data and e-health or a Special Issue on 3D Medicine and Artificial Intelligence were published. As Mochón and Baldominos state, “from a global perspective, a clear statement can be made: Artificial Intelligence can have an immense positive impact on societies... AI is turning into a key player at the time of diagnosing diseases at an early stage or developing new medicines and specialized treatment”. Being aware of this, a great number of researchers and scientific entities are focusing the efforts in this field and, specifically on the current world pandemic, as the researchers involved in the first two articles of this regular issue. The International Journal of Interactive Multimedia and Artificial Intelligence - IJIMAI (ISSN 1989 - 1660) provides an interdisciplinary forum in which scientists and professionals can share their research results and report new advances on Artificial Intelligence (AI) tools or tools that use AI with interactive multimedia techniques. Already indexed in the Science Citation Index Expanded by Clarivate Analytics, within the categories “Computer Science, Artificial Intelligence” and “Computer Science, Interdisciplinary Applications”, during the next month the journal will be listed in the 2019 Journal Citation Reports. Again, given this great milestone, the IJIMAI Editorial Board reiterates its appreciation for their support to authors, reviewers and readers.