Browsing Computer Science & Engineering by Publisher "Elsevier B.V."
Now showing items 1-20 of 71
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A blockchain-based fog computing framework for activity recognition as an application to e-Healthcare services
( Elsevier B.V. , 2019 , Article)In modern e-Healthcare systems, human activity recognition (HAR) is one of the most challenging tasks in remote monitoring of patients suffering from mental illness or disabilities for necessary assistance. One of the major ... -
A framework for topological based map building: A solution to autonomous robot navigation in smart cities
( Elsevier B.V. , 2019 , Article)Advancement in the Information and Communications Technology (ICT) has transformed urban environments into modern smart cities by connecting physical devices or sensors to communicate via the Internet of things (IoT) ... -
A survey of Internet of Things communication using ICN: A use case perspective
( Elsevier B.V. , 2019 , Article Review)Internet of Things (IoT) has gained extensive attention from industry and academia alike in past decade. The connectivity of each and every piece of technology in the environment with Internet, has opened many avenues of ... -
Achieving energy efficiency in data centers with a performance-guaranteed power aware routing
( Elsevier B.V. , 2017 , Article)Nowadays, data centers are designed to offer the highest performance in case of high traffic load and peak utilisation of the network. However, in a realistic data center environment, the peak capacity of the network is ... -
An adaptive cache management approach in ICN with pre-filter queues
( Elsevier B.V. , 2020 , Article)In Information-Centric Networking (ICN), transmission does not depend on the ends of communication, but on the content itself. In-network cache plays an important role in ICN, it empowers nodes in ICN better mobility. It ... -
Aggregate in my way: Privacy-preserving data aggregation without trusted authority in ICN
( Elsevier B.V. , 2020 , Article)Information-Centric Networking (ICN) is a novel future network architecture which in contrast to IP-based networks relies on content and its name. It separates the physical location of data from the discovery and forwarding ... -
An FPGA implementation of the matching pursuit algorithm for a compressed sensing enabled e-Health monitoring platform
( Elsevier B.V. , 2019 , Article)Wireless monitoring of physiological signals is an evolving direction in personalized medicine and home-based e-Health systems. There are several constraints in designing such systems, with two of the most important being ... -
An information fusion framework for person localization via body pose in spectator crowds
( Elsevier B.V. , 2019 , Article)Person localization or segmentation in low resolution crowded scenes is important for person tracking and recognition, action detection and anomaly identification. Due to occlusion and lack of inter-person space, person ... -
An interactive software tool for gas identification
( Elsevier B.V. , 2018 , Article)This paper presents the design of an interactive graphical user interface (GUI) to monitor and quantify a developed electronic nose (EN) platform for gas identification. To this end, an EN system has been implemented using ... -
Automatic classification of colorectal and prostatic histologic tumor images using multiscale multispectral local binary pattern texture features and stacked generalization
( Elsevier B.V. , 2018 , Article)This paper proposes a new multispectral multiscale local binary pattern feature extraction method for automatic classification of colorectal and prostatic tumor biopsies samples. A multilevel stacked generalization ... -
Biometric-based authentication scheme for Implantable Medical Devices during emergency situations
( Elsevier B.V. , 2019 , Article)Biometric recognition and analysis are among the most trusted features to be used by Implantable Medical Devices (IMDs). We aim to secure these devices by using these features in emergency scenarios. As patients can witness ... -
A blockchain and deep neural networks-based secure framework for enhanced crop protection
( Elsevier B.V. , 2021 , Article)The problem faced by one farmer can also be the problem of some other farmer in other regions. Providing information to farmers and connecting them has always been a challenge. Crowdsourcing and community building are ... -
A blockchainized privacy-preserving support vector machine classification on mobile crowd sensed data
( Elsevier B.V. , 2020 , Article)The voluminous amount of data generated by individuals’ mobile sensors and wearable devices is considered of a great value for the benefits of patients and clinical research. Recent advances incorporating data mining and ... -
Cell phenotyping in multi-tag fluorescent bioimages
( Elsevier B.V. , 2014 , Article)Multi-tag bioimaging systems have recently emerged as powerful tools which provide spatiotemporal localization of several different proteins in the same tissue specimen. The analysis of such multivariate bioimages requires ... -
A combined method of optimized learning vector quantization and neuro-fuzzy techniques for predicting unified Parkinson's disease rating scale using vocal features
( Elsevier B.V. , 2024 , Article)Parkinson's Disease (PD) is a common disorder of the central nervous system. The Unified Parkinson's Disease Rating Scale or UPDRS is commonly used to track PD symptom progression because it displays the presence and ... -
Combining Fisher locality preserving projections and passband DCT for efficient palmprint recognition
( Elsevier B.V. , 2015 , Article)In this paper a new graph based approach referred to as Fisher Locality Preserving Projections (FLPP) is proposed for efficient palmprint recognition. The technique employs two graphs with the first being used to characterize ... -
Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data
( Elsevier B.V. , 2022 , Article)Federated Learning (FL) is a distributed learning methodology that allows multiple nodes to cooperatively train a deep learning model, without the need to share their local data. It is a promising solution for telemonitoring ... -
A Comprehensive Review of Unmanned Aerial Vehicle Attacks and Neutralization Techniques
( Elsevier B.V. , 2021 , Other)Unmanned Aerial Vehicles (UAV) have revolutionized the aircraft industry in this decade. UAVs are now capable of carrying out remote sensing, remote monitoring, courier delivery, and a lot more. A lot of research is happening ... -
Congestion-aware core mapping for Network-on-Chip based systems using betweenness centrality
( Elsevier B.V. , 2018 , Article)Network congestion poses significant impact on application performance and network throughput in Network-on-Chip (NoC) based systems. Efficient core mapping can significantly reduce the network contention and end-to-end ... -
Content-based image retrieval with compact deep convolutional features
( Elsevier B.V. , 2017 , Article)Convolutional neural networks (CNNs) with deep learning have recently achieved a remarkable success with a superior performance in computer vision applications. Most of CNN-based methods extract image features at the last ...