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Full Description
Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems.
The aim of the volume "Advanced Information Networking and Applications" is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.
Contents
When Colorimetry meets the Cloud: IoT-enabled Health Monitoring at Home via Highly-specific Gas Sensing.- Exploring NLP Techniques for Code Smell Detection: A Comparative Study.- AI-Based Noninvasive Pain Detection in Alzheimer's Patients Using Facial Micro-Expression Analysis.- Cross-Model Federated Learning-based Network Traffic Classification.- Collaborative Warehouse Order Fulfillment via Goal-directed Curiosity and Hierarchical Reinforcement Learning.- The Value of Complaints: Churn Prediction in a Major Residential Internet Service Provider Using Textual Data.- TrPrNet: Early Parkinson Detection Network Using Marker-less Gait Analysis.- Enhanced Lung Cancer Detection Using Vision Transformer for Features Extraction and SVM Classification.
