International Journal of Pervasive Computing and Communications

Retraction notice: Soft computing based audio signal analysis for accident prediction

Retraction notice: Machine learning based pervasive analytics for ECG signal analysis

Retraction notice: Kuznets curve with parabola-shaped ultra-wideband antenna with defected ground plane for communications

Retraction notice: Intelligent ubiquitous computing model for energy optimization of cloud IOTs in sensor networks

Retraction notice: A novel Internet of Things and federated learning-based privacy protection in blockchain technology

Retraction notice: Intrinsic interference suppressed FBMC QAM for MU-MIMO systems in computing and communications

Retraction notice: Enhanced gray wolf optimization for estimation of time difference of arrival in WSNs

Retraction notice: Efficient task scheduling on virtual machine in cloud computing environment

Retraction notice: Task scheduling and resource allocation of seasonal requests of users in cloud using NMKA and CM-GA techniques

Retraction notice: Design and analysis of buffer and bufferless routing based NoC for high throughput and low latency communication on FPGA

Retraction notice: Energy-aware multipath routing in WSN using improved invasive weed elephant herd optimization

Retraction notice: An enhanced network intrusion detection system for malicious crawler detection and security event correlations in ubiquitous banking infrastructure

Retraction notice: A novel deep learning approach for tracking with soft computing technique

Retraction notice: High gain switched beam Yagi-Uda antenna for millimeter wave communications

Retraction notice: Federate learning on Web browsing data with statically and machine learning technique

Retraction notice: Automatic diseases detection and classification of EEG signal with pervasive computing using machine learning

Retraction notice: Cloud-based secure data storage and access control for internet of medical things using federated learning

Does AI need guardrails?

As the realm of artificial intelligence (AI) expands, its societal implications soar. Today, society actively debates its rollout – yet such discourse often permeates news…

The effect of social experience and content quality on the use of celebrity endorsement strategy in the social commerce context: a case study of Indonesia

This study aims to provide a comprehensive theoretical model based on stimulus-organismresponse, social impact, and signaling theory to examine the factors influencing the…

Intrusion detection based on concept drift detection and online incremental learning

The primary purpose of this paper is to introduce the drift detection method-online random forest (DDM-ORF) model for intrusion detection, combining DDM for detecting concept…

Enhanced gray wolf optimization for estimation of time difference of arrival in WSNs

Intelligent prediction of node localization in wireless sensor networks (WSNs) is a major concern for researchers. The huge amount of data generated by modern sensor array systems…

Improving GPU performance in multimedia applications through FPGA based adaptive DMA controller

Deep learning techniques are unavoidable in a variety of domains such as health care, computer vision, cyber-security and so on. These algorithms demand high data transfers but…

Weighted ensemble classifier for malicious link detection using natural language processing

The internet has completely merged into contemporary life. People are addicted to using internet services for everyday activities. Consequently, an abundance of information about…

Detection IoT attacks using Lasso regression algorithm with ensemble classifier

Internet of Things (IoT) is a network, which provides the connection with various physical objects such as smart machines, smart home appliance and so on. The physical objects are…

Embedding and Siamese deep neural network-based malware detection in Internet of Things

A proper understanding of malware characteristics is necessary to protect massive data generated because of the advances in Internet of Things (IoT), big data and the cloud…

Federate learning on Web browsing data with statically and machine learning technique

Federation analytics approaches are a present area of study that has already progressed beyond the analysis of metrics and counts. It is possible to acquire aggregated information…

A novel Internet of Things and federated learning-based privacy protection in blockchain technology

Be that as it may, BC is computationally costly, has restricted versatility and brings about critical transmission capacity upward and postpones, those seems not to be fit with…