New Generation Computing View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

1983

PUBLISHER

Ohmsha

LANGUAGE

en

HOMEPAGE

https://link.springer.com/journal/354

Recent publications latest 20 shown

  • 2022-09-08 Design and Development of Modified Ensemble Learning with Weighted RBM Features for Enhanced Multi-disease Prediction Model
  • 2022-08-26 Performance Analysis of Chemotaxis-Inspired Stochastic Controllers for Multi-Agent Coverage
  • 2022-08-06 A Botnet Detection in IoT Using a Hybrid Multi-objective Optimization Algorithm
  • 2022-07-30 An Evidence Theory-Based Approach to Handling Conflicting Temporal Data in OWL 2
  • 2022-07-21 Embedding Non-linear Pattern Matching with Backtracking for Non-free Data Types into Haskell
  • 2022-07-21 Preface to Hagiya-sensei’s 26-th Birthday Special Issue
  • 2022-07-19 Replication of Arbitrary Hole-Free Shapes via Self-assembly with Signal-Passing Tiles
  • 2022-07-15 An Online Mobility Management System to Automatically Avoid Road Blockage and COVID-19 Hotspots
  • 2022-07-11 KEAHT: A Knowledge-Enriched Attention-Based Hybrid Transformer Model for Social Sentiment Analysis
  • 2022-07-10 Complex Network Hierarchical Sampling Method Combining Node Neighborhood Clustering Coefficient with Random Walk
  • 2022-07-09 A Differential Approach for Data and Classification Service-Based Privacy-Preserving Machine Learning Model in Cloud Environment
  • 2022-07-04 Making Programs Reversible with Minimal Extra Data
  • 2022-07-03 Toggling Between Two Limit Cycles in a Molecular Ecosystem
  • 2022-07-03 Forecasting COVID19 Reliability of the Countries by Using Non-Homogeneous Poisson Process Models
  • 2022-07 Codensity Games for Bisimilarity
  • 2022-06-16 Internet of Medical Things-Based COVID-19 Detection in CT Images Fused with Fuzzy Ensemble and Transfer Learning Models
  • 2022-06-14 An Intelligent Healthcare Cyber Physical Framework for Encephalitis Diagnosis Based on Information Fusion and Soft-Computing Techniques
  • 2022-06-06 Improved Prediction Analysis with Hybrid Models for Thunderstorm Classification over the Ranchi Region
  • 2022-05-27 Helmholtz: A Verifier for Tezos Smart Contracts Based on Refinement Types
  • 2022-05-13 Monotone Control of R Systems
  • JSON-LD is the canonical representation for SciGraph data.

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    The journal is specially intended to support the development of new computational and cognitive paradigms stemming from the cross-fertilization of various research fields. These fields include, but are not limited to, programming (logic, constraint, functional, object-oriented), distributed/parallel computing, knowledge-based systems, agent-oriented systems, and cognitive aspects of human embodied knowledge. It also encourages theoretical and/or practical papers concerning all types of learning, knowledge discovery, evolutionary mechanisms, human cognition and learning, and emergent systems that can lead to key technologies enabling us to build more complex and intelligent systems. The editorial board hopes that New Generation Computing will work as a catalyst among active researchers with broad interests by ensuring a smooth publication process.

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    Areas covered in New Generation Computing include:

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    Learning: Foundations and Models of Learning, Computational Learning Theory, Grammatical Inference, Inductive Logic Programming, Statistical Learning Methods, Bayesian Networks, Reinforcement Learning

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    Data Mining: Fundamental Data Mining Methods (e.g. Frequent Pattern Mining, Stream Data Mining, Graph and Network Mining, Relational Data Mining), Text and Web Mining, Statistical Methods for Data Mining, Machine Learning Methods for Data Mining, Visualization Methods for Data Mining, Practical Applications of Data Mining, Data Mining  across Cyberspace and Real Space, Ethics of Data Mining (e.g. Bias, Fairness, Privacy, Social Acceptability), Data Mining to Solve Social Issues (e.g. Climate Change, Declining Birthrate and Aging Population, Cyber Warfare)

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    Cognitive Computing: Modeling Human Knowledge, Modeling Human Problem Solving and Learning, Semantic Computing, Modeling and Analyzing Decision Making, Cognitive Architecture, Artificial General Intelligence, Human Level AI.

    \n\n

    Programming and Semantics: Foundations and Models of Computation, Computational Logic, Programming Systems, Declarative Programming, Concurrency and Parallelism, Quantum Computing.

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    Control Theory of Bio- and Nano-systems: Formal Models of Molecular Systems, Computation by Token-based Systems, Non-Bool ean Representations of Signals in Nature, Cellular Automata Based on Mechanisms Found in Nature.

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    Bio/Nano/Molecular Computing and Engineering: Molecular Robotics & Artificial Cells, DNA Nanoengineering, Molecular Computing/Programming, Self-organizing Systems.

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    Skill Science and Philosophy: Skills and Knowledge in Life, Communication and Social Skills, Learning of Embodied Skills and Knowledge, “Kansei" and Value Creation, Sports Science, Measurement and Analysis of Body Movements, Systems Theory of Body, Cognitive Approach of Skill Science, Subjective Verbalization of Proprioceptive Sense, Co-evolution of Body and Language, Symbol Grounding, Symbol Generation

    \n\n

    Computational Social Science: Social Media, Web Services, Web Mining, Social Studies, Semantic Web, Crowdsourcing, Social Systems, Social Simulation, Virtual Lab

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