Focus and Scope
About the Journal
Journal of Artificial Intelligence Research Advances [2395-6720(e)] is a Online journals launched in 2014 that investigates the role of artificial in this rapidly progressing & challenging environment. This journal provides a rich, multidisciplinary platform for current Research & Development and discusses existing and emerging theoretical and applied problems in the rapidly evolving area of intelligent computing.
Focus and Scope
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Artificial intelligence and Philosophy: Philosophical Theory, Discovery Procedure, High Posterior Probability, Basic Sentence, Conditional Sentence Science, Intelligent robots, Machine Intelligence, Intelligent agents, Intelligent structures, Learning (artificial intelligence), Graphics processing units, Machine learning, Machine learning algorithms, Prediction algorithms, Algorithm design and analysis, Neurons, Logic, Geometry, Strips, Natural language processing embodied artificial intelligence, artificial consciousness, agent-based artificial intelligence, Computer aided instruction, Artificial intelligence, Protocols, Man-machine systems, Fasteners, Education, ISO, Military computing, Digital arithmetic.
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Case-based reasoning: Case‐Based Reasoning, learning, problem-solving, Case-based reasoning Bioinformatics Medical informatics Artificial intelligence in medicine, Process model knowledge model organizational model knowledge-container model case-based classification case-based diagnosis case-based decision support case-based knowledge management usage of CBR technology applications, application development evaluation past-present-future Computer-aided software engineering, Humans, Knowledge representation, Knowledge-based systems, Knowledge engineering, Artificial intelligence, Diagnostic expert systems, Machine learning, Knowledge acquisition, rule-based expert systems, deductive reasoning, design, diagnosis, planning, management, assessment, machine learning research, memory-centered cognitive model, computer systems, inference, problem-solving systems, interpretive systems.
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Heuristic searching: Service restoration, distribution system restoration, service reconfiguration, heuristic search, operator procedures, heuristic search strategies, distribution feeder reconfiguration, switching operations, best-first tree searching strategy, rule-based system heuristic search algorithms, distributed generators, system losses, power generation, generation cost, power systems, distributed generation systems, distribution networks, heuristic optimization techniques.
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Intelligent robotics: Navigation, Mobile robots, Planning, Path planning, Intelligent control, Neural networks human-centered intelligent robots, intelligent techniques, robot capabilities, pattern recognition, human-robot interaction Ontologies, Service robots, Standards, Automation, Robot kinematics, Research and development, Artificial intelligence intelligent robots, Robot control, Optimal control, Hardware, Robot kinematics, Computer architecture, Man-machine systems, Interactive systems, Decision making.
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Planning and theories of action: Decision making, human-robot interaction, intelligent transportation systems, learning (artificial intelligence), probability, highway on-ramp-off-ramps, human-robot interaction policies,multimodal probabilistic model-based planning, traffic weaving scenario, human-in-the-loop simulation, candidate future robot actions, interaction history, action distributions,direct learning, candidate robot action sequences, human responses, massively parallel sampling, real-time robot policy construction, human-human exemplars, future human actions,multimodal probability distributions, inherent multimodal uncertainty, experienced drivers, entering exiting cars, decision making motion planning, Robot kinematics,Orbital robotics, Path planning, Motion measurement, Game theory, Mobile robots, Loss measurement, Processor scheduling, Collision avoidance multi-robot systems,path planning, mobile robots, optimisation, game theory planning, Mathematical model, Robot sensing systems, Collision avoidance, Automobiles motion planning,robotics, path planning
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Cognitive aspects of AI: Internet of Things, semantic computing, cognitive computing, perceptual computing, physical-cyber-social, smart IoT, intelligent computing, intelligent systems, Cognitive semantics, category theory, human-machine duality, hybrid artificial intelligence, holonic systems, stability in dynamical systems,5G mobile communication, artificial intelligence, cellular radio, cognitive radio, Artificial intelligence (AI), cognitive engine (CE), cognitive radio (CR)Big data-driven, blockchain, cognitive computing, federated learning, Industry 4.0, smart manufacturing, frequency allocation, multi-agent systems, resource allocation, telecommunication computing, telecommunication traffic
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Robotics: Ontologies, Service robots, Standards, Automation, Robot kinematics, Big data, cloud automation, cloud computing, cloud robotics, crowdsourcing, open source, Robot sensing systems, Automation, Robot kinematics, Computational modeling, Service robots, Rehabilitation robotics, Medical robotics, Humanoid robots, Mobile robots, Human-robot interaction, Intelligent robots, Motion control, Construction industry, Industrial control humanoid robots, industrial robots, intelligent control, medical robotics, mobile robots, motion control, service robots, underwater vehicles computer languages, Manipulator dynamics, Robot kinematics, MATLAB, Jacobian matrices, Robotics and Automation, Quaternions, Orbital robotics, Software packages, Documentation.
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Soft computing theory and applications: Chaos, chattering, evolutionary computation, fuzzy logic, neural networks, robustness, sliding-mode control, variable-structure systems, Sliding mode control, Fuzzy logic, Robust control, Intelligent systems, Control systems, Electrical equipment industry, Programmable control fuzzy logic, industrial systems, chaos computing, knowledge representation, knowledge acquisition, intelligent systems Colony Optimization, Artificial Neural Networks.
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Evolutionary-inspired computing: Evolutionary computation, Reactive power, Quantum computing, Power systems, Optimal control, Voltage control, Cost function, System testing, Simulated annealing, Propagation losses, Bid-based dispatch, economic dispatch, evolutionary computation, quantum computation, real and reactive power operational planning, Genetic algorithms, Design optimization, Genetic mutations, Land mobile radio cellular systems, Testing, Cellular phones, Frequency, Parallel processing, Spontaneous emission, Stochastic processes Evolutionary Algorithms, Differential Evolution, Interactive Evolutionary Computation, Paired Comparison.
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Pervasive computing and ambient intelligence: Ambient intelligence, Artificial intelligence, Intelligent sensors, Pervasive computing, Humans, Space technology, Intelligent actuators, Ubiquitous computing, Intelligent systems, Machine intelligence ambient intelligence (AmI), artificial intelligence, computer vision, distributed and embedded intelligence home automation, domotics, service gateway, in-home networking, ambient intelligence, Pervasive computing, Ubiquitous computing, Materials science and technology, Computer vision, Oxygen, Productivity, Displays, Context-aware services, Context.
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Intelligent Web: XML, Speech recognition, Web services, Simple object access protocol, Expert systems, Artificial intelligence, Feeds, Signal processing, Web server, Paper technology, expert systems, speech recognition, Web services, XML, Web Caching, Artificial Life, Neural Network, Particle Swarm Optimization, Web services, Quality of service, Decision making, Engines, Collaboration, Ecosystems, Software prototyping, Scalability, Fasteners, Runtime Intelligent systems, Web pages, Internet, Competitive Intelligence, Web sites, Protocols, Computational intelligence, Semantic Web, Web services, Explosives, Hidden Markov models, Web server, Predictive models, Internet, Bandwidth, Delay, Web pages, Data mining, Uniform resource locators, Information science.
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Bioinformatics: Bioinformatics, Learning Artificial Intelligence, Advanced Machine Learning Techniques, Bioinformatics, Computational Biology, Special Issues And Sections, Machine Learning, Bioinformatics, Predictive Methods, Computational Biology, Biocomputing, data mining, evolutionary algorithm, molecular biology, soft computing, Evolutionary computation, Bioinformatics, DNA, Sequences, Vegetation mapping, Assembly, Phylogeny, RNA, Proteins.
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Neuroinformatics: Genomics, Bioinformatics, Gene expression, Mice, Organisms, Pipelines, Large-scale systems, Network topology, Circuit topology, Anatomy Cognitive informatics, cognitive computing, abstract intelligence, denotational mathematics, cognitive computers, knowledge processors, inference engines, learning engines, perception engines, computational intelligence, applications.
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Computing and the mind: Affective Computing, agents, autism, psychophysiology, wearable computing, Integrated circuit modeling, Computational modeling, Algebra, Taxonomy, Biological system modeling, Ontologies, Privacy, Bluetooth, Tools, Mobile handsets, Internet, Security, Facescontact tracing apps, exposure notification API, security & privacy risks, contact tracing app, API, exposure notification, decentralized contract, Bluetooth Low Energy, current GAP design, de-anonymizing infected persons, relay-based wormhole attacks, fake contacts,app-based contact tracing system, mobile phones, Bluetooth sniffers, real-world evidence, security risks, secure privacy-preserving digital contact tracing systems.
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Cognitive science: Cognitive science, spreadsheet developers, spreadsheet cells, cell error rates, CER, human error research, nontrivial cognitive tasks, neuroscience, Artificial neural network, computational intelligence, cognitive psychology, MATLAB Psychology, Artificial intelligence, Tools, Statistical analysis, Matlab Human-computer interaction, Computers, Technological innovation, Collaboration, Cognitive science, Teleportation, smart systems, cloud computing, cognitive science, human-centered cognitive computing, a medical cognitive system, cognitive computing, network-enabled sensors, artificial intelligence, knowledge discovery, Big Data, robot technology, emotional communication system.
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Non-classical computing and novel computing models: Deutch’s problem Entanglement measurement Concurrence, Non-classical receptive field, Contour detection, Neural modeling, bio-inspired model, early vision, image representation, Stereoscopic quality assessment, No-reference, Visual perception, Receptive field.
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DNA computing and quantum computing: Bit scrambling, chaotic generator, DNA sequence-based linear feedback shift register, DNA encoding, hyperchaos, secure hash algorithm, DNA, Encryption, Generators, Color, Chaotic communication, biocomputing, computational complexity, DNA, polynomials, traveling salesman problems, The family traveling salesperson problem, DNA computing, the Adleman-Lipton model, NP-complete problem, Sequential circuits, DNA computing, Quantum computing, Computational modeling, Circuit simulation, Parallel processing, Concurrent computing, Logic circuits, Circuit synthesis, Sequences, reversible gate, reversible sequential circuit, DNA computing, parallel computing power, DNA molecules, reversible logic, quantum computing, circuits synthesis,bio-chemistry operations, sticking system, enzyme system, DNA Fredkin gate.
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Natural computing: Natural computing, Bio-inspired, computing, Problem-solving, Novel computing paradigms, Non-classical computation, Natural computing, Granular computing, Soft computing, Hybrid model, Decision systems, Natural computing, Bioinformatics, Protein structure prediction, Microarray data analysis, Biological networks modeling, Stereoscopic quality assessment, No-reference, Visual perception, Receptive field.