Editors-in-Chief: Prof. & SMIEEE, Victor Hugo C. de Albuquerque, University of Fortaleza, Brazil
Prof. & FIEEE, Jinde CAO, Southeast University, China
Prof. Haiping Du, University of Wollongong, Australia
Co-Editor-in-Chief: Prof. & SMIEEE, Weiping Ding, Nantong University, China
Email: [email protected] ISSN: 2642-2859 (Online), No fees to publish articles in this journal
Google Scholar: https://scholar.google.com/citations?user=4vr_Yn8AAAAJ&hl=en
Dr. Anand Khandare, Thakur College of Engineering and Technology, India.
Please directly send your article to October 30, 2020 by December 31, 2020[email protected].orgDr. Vijay Bhaskar Semwal, National Institute of Technology, India; Dr. Rajanikanth Aluvalu, Vardhman College of Engineering, India.
Data Science is a trendy new field which can be used in various fields of engineering and sciences. Data Sciences, will equip learners and researchers with the skills to lead the technological evolution rapidly changing the way business and policy is developed. Data Science allows to study multiple fields such as computer science, statistics, electrical engineering, information systems, and management science. Data science is a blend of data interference, algorithmic development, and technology in to solve analytically complex problems.
This special aims to provide a premier forum that brings together researchers, industry practitioners, as well as potential users in fields of engineering and sciences for discussion and exchange of ideas on the latest theoretical and practical developments in Data Science and advanced analytics as well as on the best practices for a wide range of applications.
Papers in this issue may address opportunities and Applications in the fields of Engineering and Sciences. It also deals with industrial case studies, experimental and theoretical works and application to real life situations.
Dr. Izaz Ullah Khan, COMSATS University Islamabad, Pakistan.
Please directly send your article to November 20, 2020 by March 20, 2021Dr. Fazal Wahab Karam, COMSATS University Islamabad, Pakistan; Dr. Sultan Hussain, COMSATS University Islamabad, Pakistan; Dr. Anwar Zeb, COMSATS University Islamabad, Pakistan; Dr. Normah Maan, Universiti Teknologi Malaysia, Malaysia; Dr. Mohsian Khan, Hazara University Mansehra, Pakistan.
Description: You are cordially welcome to submit your contributions to the special issue “Artificial Intelligence for System Identification and Diagnosis” of the Journal of Artificial Intelligence and Systems. The aim of the special issue is to identify, promote, and emphasis on the powerful methods of artificial intelligence widely used for system identification and diagnosis. Novel research in the field of Neural Networks, Genetic Algorithm, Fuzzy logic, Fuzzy Control Systems, Modern Control Theory, Proportional Integrative Differential PID Controllers, System Identification, Operations Research, Optimization Techniques, Benchmarking, Dynamical Systems, Data Envelopment Analysis, Multi-objective Optimization, Financial Mathematics, Monte Carlo Simulation, Stochastic Process Control, Brownian Motion, Markov’s Process, Gradient Decent Algorithm, Probabilistic Neural Networks, Generalized Regression Neural Networks, Self-Organizing Maps SOM, Fuzzy Networks and Black Box Modelling are welcome for possible publication in the special issue on “Artificial Intelligence for System Identification and Diagnosis”. Applications of the above mentioned methods in the following real world scenario (but no limited to) are also warmly welcomed.
Topics include but are not limited to innovative applications of:
Neural Networks for Medical Diagnostics
Artificial Intelligence and Neural Networks for System Diagnostics
Neural Networks for Industrial Process Failure Diagnostics
Neural Networks for Fault Tolerance in Industrial Setups (Textile, Cement, Steel, Paper etc.)
Dr. Nikolaos Polatidis, University of Brighton, United Kingdom.
Please directly send your article to October 30, 2020 by November 30, 2020Dr. Stelios Kapetanakis, University of Brighton, United Kingdom.
Description: Artificial Intelligence (AI) is playing a major role nowadays and we are seeing a lot of evolution in various methodologies such as machine learning. AI techniques are widely used by the practicing engineer to solve a whole range of problems. This special issue provides an opportunity for rapid publication of work describing the practical application of AI methods in various branches. Submitted papers should report some novel aspects of AI used for a real-world application and also validated using some data sets.
Topics include but are not limited to innovative applications of:
Neural networks, fuzzy systems, neuro-fuzzy systems
Deep learning and real-world applications
Case-based reasoning applications
Decision support systems
Knowledge processing, knowledge elicitation and acquisition, knowledge representation, knowledge compaction, knowledge bases, expert systems
Artificial intelligence and cybersecurity
Machine learning and cybersecurity
Machine learning applications
Intelligent information systems
Speech and natural language processing
Social media and AI
Evaluation of AI systems
Other emerging topics
Dr. Burak Efe, Necmettin Erbakan University, Turkey.
Please directly send your article to September 30, 2020 by October 30, 2020Prof. Mustafa Kurt, Gazi University, Turkey; Dr. Ömer Faruk Efe, Afyon Kocatepe University, Turkey.
Description: Fuzzy set theory was developed by Zadeh in 1965. In past years, probability theory was used extensively to deal with the uncertainty in complex problems. In fact, fuzzy set theory ensured many facilities to handle the judgments of the experts. It provides to succeed in mathematically solving problems whose judgments are presented by using linguistic terms. The application of fuzzy logic has been extended many areas such as medicine, education, meteorological, management, economy, information retrieval and so on. Especially, fuzzy logic provided to improve for multi-criteria decision making techniques such as analytic hierarchy process, analytic network process, TOPSIS, DEMATEL, VIKOR, PROMETHEE, ELECTRE and so on. Fuzzy set extended to handle the judgments of experts such as type 1 fuzzy number, type 2 fuzzy number, interval type 2 fuzzy number, intuitionistic fuzzy number, fuzzy neutrosophic sets, Pythagorean fuzzy set and so on.
The aim of Special Issue of the Journal of Artificial Intelligence and Systems is to ensure the experts in the area (academics, researchers, practitioners, etc.) the opportunity to introduce current theoretical and application advances for all areas of human activity on fuzzy sets and its extensions.
by September 30, 2020
Prof. Asit Kumar Das, Indian Institute of Engineering Science and Technology, India.
Dr. Soumi Dutta, Institute of Engineering and Management, India; Dr. Sunanda Das, Sri Venkateswara College of Engineering and Technology, India.
Description: Information retrieval is one of the important branches of Computer Science and Information Technology, which mainly focused on text, video, audio, music and images to retrieve information relevant to the user on the basis of a query. There is an emerging trend in applying natural language processing, machine learning, and artificial intelligence to information retrieval problems. Recently, it is observed that researchers are showing their increasing interest in adapting techniques from other disciplines and applying different information retrieval models. There are various information retrieval models such as fuzzy set model, vector space model, neural network model, probabilistic model and so on. Each model has its own assumptions about relevance and representation of unstructured data of various domains of applications. The objective of this special issue is to retrieve meaningful information from various kinds of social media data of different applications with the help of recently emerged techniques including machine learning and natural language processing. The researchers who are interested to develop various models like clustering, classification, summarization, prediction etc. for information retrieval not only from the static data but also from the stream data are highly encouraged to submit their papers in this special issue of the journal. Please directly send your article to August 31, 2020
AI theories, methods and AI + x
by July 31, 2020
Dr. Hongyin Zhu, University of Chinese Academy of Sciences, China.
Dr. Dongsheng Wang, University of Copenhagen, Denmark; Dr. Prayag Tiwari, University of Padova, Italy; Dr. Wenpeng Hu, Peking University, China.
Description: This special issue is dedicated to exploring AI theories and methods, and applied research combined with various fields. After the AI technology is embedded in various systems, what kind of chemical reaction will occur and what value will it bring. Topics covered include pattern recognition, machine learning, deep learning, knowledge graph, natural language processing, bioinformatics, the Internet of Things, cloud computing, information retrieval, data mining, etc.
Knowledge representation and reasoning
Natural language processing
Multimodal information processing
Image and video processing
Deep learning theory and method
AI + IoT and cloud computing
AI + various fields
Please directly send your article to June 30, 2020
Special Issues are an important component of IEC journals. They deal with more focused topics with high current interest falling within the scope of the journal in which they are published. They should be organized by recognized experts in the area and attract articles of the highest quality. Special Issue proposals are welcome at any time during the year.
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Special Issue Title
Lead Guest Editor (Including full name, email address, affiliation information)
Guest Editor (Including full name, email address, affiliation information)
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Description: A 150-400 words summary about your Special Issue
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