e-mail: ijai@iaesjournal.com, cc: editor@iaesjournal.com, // ');
Submitted articles should not have been previously published or be currently under consideration for publication elsewhere. two times in a year. Kindly please download the IJ-AI template in or. Our role is just to provide the online access to them. International Journal of Artificial Intelligence and Soft Computing from Inderscience Publishers bridges the gap between artificial intelligence and soft computing, with theoretical/applied research Its premise is that such principles involve the modeling and representation of relevant aspects of knowledge, before implementation or during execution, and hence require the application of AI techniques and concepts. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. The main aim of the International Journal of Artificial Intelligence™ (ISSN 0974-0635) is to publish refereed, well-written original research articles, and studies that describe the latest research and developments in the area of Artificial Intelligence. Part of IJAISC thus meets the demands of both theoretical and applied researchers in artificial intelligence and soft computing. This journal invites publications on all the topics focussing technical applications of this computer science and also the contributions dealing with the practices of social, economic and political issues on time conserving process, in the form of Research papers, Reviews, Case reports, Editorials, Comments and as well as Perspectives and offers a receptive medium for rapid, peer-reviewed publication for original articles including full length and short communications, as well as expert scientific reviews. The IJAI is already in request process to get reviewed, abstracted and indexed by the Clarivate Analytics Web of Science (Also known as Thomson ISI Web of Knowledge SCI), Mathematical Reviews and MathSciNet of American Mathematical Society, and by other agencies. Special Issues devoted to topics of current interest will be published occasionally. A Code-Tracing Tutor Investigation, International Artificial Intelligence in Education Society (IAIED), Spans an interdisciplinary field, thus offering a broad spectrum of topics, Addresses the complex methodologies intrinsically related to education, Provides an international perspective of principles used for the design of computer-based learning systems, Immediate online access with complete access to all articles, Institute of Scientific and Technical Information of China, Japanese Science and Technology Agency (JST), ProQuest Advanced Technologies & Aerospace Database, ProQuest Materials Science and Engineering Database. var scJsHost = "https://";
easy print format (PDF), International Journal of Artificial Intelligence and Soft Computing, Automated reasoning and logic programming, Hybridisation of intelligent models/algorithms, Parallel and distributed realisation of intelligent algorithms/systems. The Editorial Board and the Associate Editors of the Journal have the exclusive right to propose candidate editors. Conference papers may only be submitted if the paper has been completely re-written (. The International Journal of Artificial Intelligence (IJAI) is a peer-reviewed online journal and is published in Spring and Autumn i.e. Country: Indonesia - SIR Ranking of Indonesia: 3. 12 Nov. 2020. doi:10.4018/IJAIML, Habib, M. K. (2019). This journal also publishes Open Access articles, Inspec (Institution of Engineering and Technology), ProQuest Advanced Technologies Database with Aerospace, Cabell's Directory of Publishing Opportunities, Excellence in Research for Australia (ERA), Journal information in The main aim of the International Journal of Artificial Intelligence™ (ISSN 0974-0635) is to publish refereed, well-written original research articles, and studies that describe the latest research and developments in the area of Artificial Intelligence. The. The theoretical research outcome provides necessary support to practitioners in the design and development of intelligent systems, and the difficulties faced by the practitioners in using the theoretical results provide feedback to the theoreticians to revalidate their models. IJAIED has a very broad notion of the scope of AI and of a 'computer-based learning system'. The primary objective of IJAISC is to establish an effective channel of communication between theoretical researchers and practitioners. IJAIED publishes papers concerned with the application of artificial intelligence techniques and concepts to the design of systems that support learning. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented the whole spectrum of Artificial intelligence. - 204.188.200.250. Web. Ghani, Feryal Ibrahim Jabbar, DurMuhammad Soomro, Adnan Hasan Tawafan, Mohd Noor bin Abdullah, Nur Hanis binti Mohammad Radzi, Mazhar Hussain Baloch, Harco Leslie Hendric Spits Warnars, Arif Fahrudin, Wiranto Herry Utomo, Azzeddine Dahbi, siham jabri, youssef balouki, Taoufiq Gadi, Ibrahim Ahmed Saleh, Omar Ibrahim Alsaif, Maan A. Yahya, Shazlyn Milleana Shaharudin, Norhaiza Ahmad, Siti Mariana Che Mat Nor, Nihad M. Ameen, Abdulrahim Thiab Humod, Aliyu Muhammad Abdu, Musa Mohd Muhammad Mokji, Usman Ullah Ullah Sheikh, Noor Sakinah Shaeeali, Azlinah Mohamed, Sofianita Mutalib, Rania Salah El-Sayed, Mohamed Nour El-Sayed, Mohd Hanafi Ahmad Hijazi, Abdullah Bade, Mohd Hanafi Ahmad Hijazi, Mohammad Saffree Jeffree, Rahayu Abdul Rahman, Suraya Masrom, Normah Omar, Maheran Zakaria, Daniel Febrian Sengkey, Agustinus Jacobus, Fabian Johanes Manoppo, Abdelouahad Achmamad, Abdelali Belkhou, Atman Jbari, Elezabeth Mathew, Sherief Abdulla, Fardin Abdali-Mohammadi, Maytham N. Meqdad, Seifedine Kadry, Anita Ramachandran, Adarsh Ramesh, Aditya Sukhlecha, Avtansh Pandey, Anupama Karuppiah, The role of chatterbots in enhancing tourism: a case study of penang tourism spots, Prevalence of hypertension: predictive analytics review, A real-time drowsiness and fatigue recognition using support vector machine, Design and development of meal intake prediction model for gestational diabetes mellitus patients using genetic algorithm, Classification of white rice grain quality using ANN: a review, A multilayer perceptron artificial neural network approach for improving the accuracy of intrusion detection systems, Contrastive analysis of rice grain classification techniques: multi-class support vector machine vs artificial neural network, Optimization of detection single line to ground fault based on (ABCNN) algorithm, Student performance prediction using simple additive weighting (SAW) method, The selection of the relevant association rules using the ELECTRE method with multiple criteria, Optimal distributed decision in wireless sensor network using gray wolf optimization, A modified correlation in principal component analysis for torrential rainfall patterns identification, Robust nonlinear PD controller for ship steering autopilot system based on particle swarm optimization technique, Machine learning for plant disease detection: an investigative comparison between support vector machine and deep learning, Hyperspectral image classification using support vector machines, Customer reviews analytics on food delivery services in social media: a review, Classification of vehicles’ types using histogram oriented gradients: comparative study and modification, Tuberculosis detection using deep learning and contrastenhanced canny edge detected X-Ray images, An application of machine learning on corporate tax avoidance detection model, A proposed system for opinion mining using machine learning, NLP and classifiers, Effects of kernels and the proportion of training data on the accuracy of SVM sentiment analysis in lecturer evaluation, Automatic amyotrophic lateral sclerosis detection using tunable Q-factor wavelet transform, The LSTM technique for demand forecasting of e-procurement in the hospitality industry in the UAE, Development of an IoT-based and cloud-based disease prediction and diagnosis system for healthcare using machine learning algorithms, Machine learning algorithms for fall detection using kinematic and heart rate parameters – a comprehensive analysis, Creative Commons Attribution-ShareAlike 4.0 International License.