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  1. No Access

    Article

    A Docker-based federated learning framework design and deployment for multi-modal data stream classification

    In the high-performance computing (HPC) domain, federated learning has gained immense popularity. Especially in emotional and physical health analytics and experimental facilities. Federated learning is one of...

    Arijit Nandi, Fatos Xhafa, Rohit Kumar in Computing (2023)

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    Chapter and Conference Paper

    Federated Learning with Exponentially Weighted Moving Average for Real-Time Emotion Classification

    Federated learning (FL) allows to develop a powerful shared prediction model while preserving the users’ privacy by kee** the data local. In particular it is a useful framework to use resource-constrained ed...

    Arijit Nandi, Fatos Xhafa, Laia Subirats in Ambient Intelligence—Software and Applicat… (2023)

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    Chapter

    Incentives in Surplus Food Distribution for Smart Cities and Beyond: An Activity Aware Solution

    Food surplus donation has emerged as a popular means to counter the food  issue that the world has been facing in recent years. The fact that this also addresses the food  challenge is an added bonus. The ma...

    Surja Sanyal, Sajal Mukhopadhyay in Advances in Engineering and Information Sc… (2023)

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    Book

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    Chapter

    The Vision of the Healthcare Industry for Supporting the Aging Population

    The ageing population is a profound and pervasive challenge all over the world. More people are living to old age with disabling conditions and chronic diseases. This phenomenon leads to the increasing demands...

    C. H. WU, Cathy H. Y. LAM, Fatos XHAFA, Valerie TANG in IoT for Elderly, Aging and eHealth (2022)

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    Chapter

    IOT and Cloud Computing for Development of Systems for Elderly and eHealth

    During the past decade, IoT and cloud technology integration has been widely adopted in the healthcare industry to provide better healthcare solutions to the elderly. Considering the problems of resource short...

    C. H. WU, Cathy H. Y. LAM, Fatos XHAFA, Valerie TANG in IoT for Elderly, Aging and eHealth (2022)

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    Chapter

    Case Study in Remote Diagnosis

    The rapid development of advanced technologies has affected the healthcare industry regarding healthcare services delivery and the use of equipment for healthcare treatments. In China, due to the high coverage...

    C. H. WU, Cathy H. Y. LAM, Fatos XHAFA, Valerie TANG in IoT for Elderly, Aging and eHealth (2022)

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    Chapter

    Artificial Intelligence and Data Mining Techniques for the Well-Being of Elderly

    The Healthcare sector is one of the important service sectors in the world. Advanced technologies, i.e. artificial intelligence (AI) and data mining techniques, have been implemented to improve the reliability...

    C. H. WU, Cathy H. Y. LAM, Fatos XHAFA, Valerie TANG in IoT for Elderly, Aging and eHealth (2022)

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    Chapter

    Case Study in Fall Prevention in Indoor Environments

    Falls are one of the most common and problematic issues for the elderly, especially for the elderly living alone or going out independently. Falling can cause severe injuries to the elderly such as disability,...

    C. H. WU, Cathy H. Y. LAM, Fatos XHAFA, Valerie TANG in IoT for Elderly, Aging and eHealth (2022)

  10. No Access

    Chapter and Conference Paper

    An Incentive Framework for Surplus Food Distribution in the Context of Smart Cities

    Food donation is an absolute necessity for today’s society in order to counter the wastage of edible food. The key to this food movement is volunteer availability which aids in delivering the surplus food to a...

    Surja Sanyal, Sajal Mukhopadhyay in Advances in Network-Based Information Syst… (2022)

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    Chapter

    Introduction

    Due to the demographic change and longer life expectancies, the ageing population is a profound and pervasive problem worldwide, such as Japan, China, the United States, and Taiwan. It is forecasted that this ...

    C. H. WU, Cathy H. Y. LAM, Fatos XHAFA, Valerie TANG in IoT for Elderly, Aging and eHealth (2022)

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    Chapter

    Building Long-Term Care Services Around the World

    Long-term care is caring for the elderly with physical or mental disabilities. Typically, it can be divided into two main types, which are home-based Care and Residential Care. For home-based care organisation...

    C. H. WU, Cathy H. Y. LAM, Fatos XHAFA, Valerie TANG in IoT for Elderly, Aging and eHealth (2022)

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    Chapter

    New Generation of Healthcare Services Based on Internet of Medical Things, Edge and Cloud Computing Infrastructures

    In this chapter, we highlight and analyze the role of the Internet of Medical Things (IoMT), Edge and Cloud Computing Infrastructures to develop the new generation of healthcare systems for the elderly. The fa...

    C. H. WU, Cathy H. Y. LAM, Fatos XHAFA, Valerie TANG in IoT for Elderly, Aging and eHealth (2022)

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    Chapter

    Case Study in Elderly Consultancy Services

    The ageing population has been a severe problem in the world. With the increasing aged population problem, society would face challenges in different dimensions, especially to the healthcare industry or health...

    C. H. WU, Cathy H. Y. LAM, Fatos XHAFA, Valerie TANG in IoT for Elderly, Aging and eHealth (2022)

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    Book

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    Chapter

    Domesticating Homecare Services

    Due to the ageing population worldwide, healthcare services have become increasingly concerned about their capacity to sustain the quality of life among the elderly. With most of the elderly who prefer staying...

    C. H. WU, Cathy H. Y. LAM, Fatos XHAFA, Valerie TANG in IoT for Elderly, Aging and eHealth (2022)

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    Article

    Allocation of applications to Fog resources via semantic clustering techniques: with scenarios from intelligent transportation systems

    The fast development in IoT and Cloud technologies has propelled the emergence of a variety of computing paradigms, among which Fog and Edge computing are salient computing technologies. Such new paradigms are...

    Fatos Xhafa, Alhassan Aly, Angel A. Juan in Computing (2021)

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    Chapter and Conference Paper

    Real-Time Multimodal Emotion Classification System in E-Learning Context

    Emotions of learners are crucial and important in e-learning as they promote learning. To investigate the effects of emotions on improving and optimizing the outcomes of e-learning, machine learning models hav...

    Arijit Nandi, Fatos Xhafa, Laia Subirats in Proceedings of the 22nd Engineering Applic… (2021)

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    Chapter and Conference Paper

    Optimization of Task Allocations in Cloud to Fog Environment with Application to Intelligent Transportation Systems

    Fog and Edge computing are opening up new opportunities to implement novel features of mobility, edge intelligence and end-user support. The successful implementation and deployment of Fog layers, as part of C...

    Fatos Xhafa, Alhassan Aly in Advanced Information Networking and Applications (2021)

  20. No Access

    Chapter

    An IoT-Based Time Constrained Spectrum Trading in Wireless Communication for Tertiary Market

    In this chapter, we study some research issues from IoT-based spectrum trading in Wireless Communication in a strategic setting. We consider the scenario in which there are multiple secondary users (such as non-g...

    Anil B. Chowdhury, Vikash K. Singh in IoT-based Intelligent Modelling for Enviro… (2021)

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