JSCN explores the interdisciplinary and trans-disciplinary character of two of the most promising and widely growing domain of computation. These are soft computing and networking. WJSCNN helps endorsement of the further integration and fusion of both disciplines within realistic applications and promote discussion on notional advances of such integration. It speak about up to date contributions contained by both fields, recognize the convolution of contemporary communication networks as well as related concept, virtualizations, algorithm design and improvement, thus facing challenge of attaining efficiency, sustainability and optimality. WJSCNN covers a wide range of topics in the field of neural networks, from biological neural network modeling to artificial neural computation. WJSCNN is an double peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Soft Computing and neural network.. The Journal looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects.

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Objectives

The objective of WJSCNN is to associate the sound methodological range of soft computing with the exigent demands and design opportunities of existing communication networks. The extensive use of the Internet has given further prospect for providing new services and web-based applications as well as the form of networking paradigms in new fields of computing. Related applications are often characterized by high intricacy while the number of standards for applications is quickly increasing. Representing such problems as classical optimization problems may not promise accurate logical solutions any longer and the requirement for higher solution techniques has become widespread. Soft computing techniques and their fundamental effort of exactitude trade-off provide sevral methods to deal with situation in complex application domains..


The aim of the Journal is to provide a podium to the researchers and practitioners from both academia as well as industry to meet and contribute their vision related to cutting-edge development in the field. WJSCNN aims to present a general idea of up to date of issues and solution course of action in the new era of soft computing neural computing and its latest trends of techniques.

Readership

The key addressees of WJSCNN extends to professionals, academics, researchers, educators and policy makers working in the fields of communication networks, networking research, soft computing and its applications. The journal will provide a platform for related technology transfer, engineering and education researchers to rapidly disseminate information and to learn from each other's work.

Content

WJSCNN publishes original papers, review papers, technical reports, case studies and book reviews. Special Issues devoted to high-profile topics in soft computing and networking will periodically be published. Authors are invited to contribute to the journal by submitting manuscript that demonstrate research results, projects, surveying works and industrial experiences that portray significant advances in the areas of soft computing and neural network . Proposed submissions should be original, unpublished, and present new fundamental research contributions either from a methodological/application perspective in understanding and their capabilities in solving a diverse range of problems.

WJMB calls for manuscript in the latent topics, authors are requested to prepare manuscript according to Guidelines for Authors:

  • management systemsFuzzy Systems
  • Neural Networks
  • Machine learning
  • Probabilistic Reasoning
  • Evolutionary Computing
  • Pattern recognition
  • Hybrid intelligent systems
  • Software agents
  • Morphic Computing
  • Image processing
  • E-commerce, e-medicine
  • Rough Sets
  • Symbolic machine learning
  • Wavelet
  • Signal or Image Processing
  • Vision Recognition
  • Biomedical Engineering
  • Telecommunications
  • Reactive Distributed AI
  • Nano & Micro-systems
  • Data Visualization
  • Soft computing (SC) for network architecture, design and management
  • SC and quality-of-service, scalability solutions
  • Fairness, optimality, efficiency of network resource sharing and distribution
  • SC and network deployment, management and operation
  • SC for network security (monitoring, VPN, certification etc.)
  • SC for network applications (www, email, etc.) and their operation
  • Heuristic and metaheuristic approaches for networking technologies
  • Combinatorial optimisation and combinatorial designs for networking problems
  • Network metrics, network growth and percolation models
  • Fuzzy information processing for modelling of users and network-based services
  • Validation, evaluation and simulation approaches
  • Nature-inspired networking paradigms
  • Soft networking, network virtualisation, cloud and networking services