Introduction

Now a days when the world is becoming so ambiguous that cannot be comprehend by a single individual, information is growing at a tremendous rate and software systems are becoming uncontrollable, this inspired computer scientists for designing an alternative intelligent systems in which control, pre-programming and centralization is replaced by autonomy, emergence and distributed functioning. The field of research focused on developing such systems and applying them to solve a wide variety of problems is termed as “Machine Intelligence”. Machine Intelligence is a methodology involving computing that provides a system with an ability to learn and/or to deal with new situations, such that the system is perceived to possess one or more attributes of reason, such as generalization, discovery, association, and abstraction. Since from its origin, the number of its successful applications has been grown rapidly and the use of these Machine intelligence algorithms has increased over the years. Machine intelligence (MI) techniques are ideal for such applications as tools of ‘knowledge discovery from data’ or in short, ‘data to knowledge’ for complex and often apparently intractable systems.

Recommended topics (but not limited to)

• Artificial Intelligence and its applications
• Evolutionary Computing
• Machine Learning Algorithms and applications
• Deep Learning Algorithms and applications
• Data Science and its applications
• Fuzzy logic
• Artificial Neural Network
• Expert System
• Natural Language Processing
• Pattern Recognition
• Heuristic Search Algorithms and applications
• Hybrid Systems

Important dates

Submission deadline: 15 January, 2025

Authors notification: 15 April, 2025

Revision submission: 15 June, 2025

Submission guidelines

Original and unpublished works on any of the topics aforementioned or related are welcome. The SCPE journal has a rigorous peer-reviewing process and papers will be reviewed by at least two referees. All submitted papers must be formatted according to the journal's instructions, which can be found here.

During submission please select a Special Issue that you want to submit to and provide this information in the Comments for the Editor field.

Guest Editors

Lead: DR. MANISH GUPTA, Department of Computer Science and Engineering, Amity University Madhya Pradesh, India – 474005, email: mgupta1@gwa.amity.edu

Dr. Manish Gupta is currently working in the computer science & engineering at Amity University Madhya Pradesh, Gwalior. He has done B.E. from MITS Gwalior MP-India, and M.Tech from ABV-IIITM Gwalior MP-India. He has completed Ph.D. from RGPV Bhopal MP-India. He is 4 times GATE and 02 times NET qualified. He has published more than 40 research papers in various SCI and Scopus journals, IEEE conferences, and Springer conferences. He has organized 02 International conferences (MISS-2020 and MISS-2021), various special sessions in the Springer and IEEE conferences. He has also organized FDP’s, STTP’s, TTP’s and workshops sponsored by TEQUIP-III and AICTE. He is also editorial board members of various organizations and journals. He has published two books. He has been awarded an 08 M.Tech theses. He has completed a Central Govt. Project “Unnat Bharat Abhiyan” sanctioned by Govt. Of India. He has also completed a research project on “A new GUI based image cryptography using random key for IoT” sanctioned by RGPV university Bhopal MP-India under TEQIP-III. He has completed a project on “Cyber Security & Digital India Awareness Program for Rural Area” sanctioned by Madhya Pradesh Council of Science & Technology Bhopal MP-India.

DR. DAC-NHUONG LE, Faculty of Information Technology, Haiphong University, Haiphong, Vietnam, email: nhuongld@hus.edu.vn

Dr. Dac-Nhuong Le has received M.Sc. and Ph.D. in computer science from Vietnam National University, Vietnam in 2009 and 2015, respectively. Presently, he is Associate Professor, Associate Dean of Faculty of Information Technology, Haiphong University, Vietnam. He has been involved with academics including teaching and research since 2005. He has 60+ publications in reputed international conferences, journals, and online book chapter contributions (Indexed by SCI, SCIE, SSCI, Scopus, ACM, DBLP). He is researching the field of evolutionary computation, specializes in evolutionary multi-objective optimization, network communication, and security, cloud computing, VR/AR. Recently, he has been on the technique program committee, the technique reviews, the track chair for international conferences under Springer-ASIC/LNAI/CISC Series. He also has been servers in the editorial board of international journals and he authored and edited 20+ computer science books by Springer, Wiley, CRC Press Publishing.

DR. ANSHUL VERMA, Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India. – 221005, email: anshulverma87@gmail.com

Dr. Anshul Verma received M.Tech. and Ph.D. degrees in Computer Science & Engineering from ABV-Indian Institute of Information Technology and Management Gwalior, India. He has done Post-doctorate from Indian Institute of Technology Kharagpur, India. Currently, he is serving as Assistant Professor in Department of Computer Science, Institute of Science, Banaras Hindu University Varanasi, India. He has also served as faculty member in Computer Science & Engineering Department at Motilal Nehru National Institute of Technology (MNNIT) Allahabad and National Institute of Technology (NIT) Jamshedpur, India. His research interests include IoT, Mobile ad-hoc networks, Distributed systems, Formal verification, and Mobile computing. He is serving as Editor of the Journal of Scientific Research of the Banaras Hindu University.

DR. VIBHAV PRAKASH SINGH, Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj-211004, Uttar Pradesh, India, email: vibhav@mnnit.ac.in

Dr. Vibhav Prakash Singh is currently working as Assistant Professor in the Department of Computer Science and Engineering at MNNIT Allahabad. He has earned his Ph.D. in Computer Science and Engineering from IIT (BHU), Varanasi (India) in 2018, M.Tech (CSE) from IIIT Gwalior (India) in 2011 and B.Tech (IT) from UPTU, Lucknow (India) in 2005. He has 10 years of experiences in teaching and research of UG (B.Tech) and PG level courses in various academic and research organizations. He is an active reviewer and board member of various International Journals and Conferences. He has contributed more than 70 research papers in International Journals, and Conferences. His working research areas are Image Processing, Computer Vision, Data Mining, and Machine Learning.

Dr. Tolga Ensari, Department of Computer and Information Science, Arkansas Tech University, Russellville, AR, USA, email: tensari@atu.edu

Dr. Tolga Ensari is an assistant professor at the Department of Computer and Information Science, Arkansas Tech University, USA. He received his Ph.D. degree in Computer Science from Istanbul University, Turkey in 2009. He was a visiting scholar at the University of Louisville, USA in 2012, 2014, and 2019. His research interests are machine learning, deep learning, and pattern recognition. He has published more than 70 scientific articles, book chapters and has been cited many times in the literature. He founded a machine learning research lab and he has 20+ years of experience in machine learning and artificial intelligence. Dr. Ensari also completed many scientific research projects in machine learning and was awarded the international successful researcher. His work has been supported by the National Science Foundation (NSF), the Scientific and Technological Research Council of Turkey (Tubitak), and the Council of Higher Education. He has been serving as a reviewer and a committee member for several scientific journals and conferences including Nature, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, Cambridge University Press, Neural Computing and Applications, PLOS and Current Bioinformatics. He is a member of IEEE (Institute of Electrical and Electronics Engineers) and has three patents.

Dr. Javed Ali Khan, Department of Computer Science, University of Hertfordshire, Hatfield, UK, email: j.a.khan@herts.ac.uk

Dr. Javed Ali Khan is currently working and researching requirements engineering, CrowdRE, argumentation theory, feedback analytics, mining software repositories, Human values for SE, sentiments and opinion mining, empirical software engineering, health informatics, and requirements prioritization. He has completed his PhD from the Department of software engineering, Tsinghua University, P. R. China, under the supervision of Professor Lin Liu. He is a Senior Lecture in the Computer Science department, Foundation of Software Engineering Group (FSE), University of Hertfordshire, UK. Previously, he worked as an assistant professor in the software engineering department at, university of Science and Technology Bannu, Pakistan.