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Chapter and Conference Paper
IoT-Based Intelligent Medical Decision Support System for Cardiovascular Diseases
Cardiovascular diseases (CVDs) represent serious threats to human health, causing considerable problems for the healthcare ecosystem. Medical Decision Support Systems (MDSS) have emerged as important instrumen...
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Chapter and Conference Paper
A State of Art Review on Testing Open Multi-Agent Systems
Open Multi-Agent Systems (MASs) represent a paradigm in which multiple autonomous agents communicate and collaborate to achieve shared objectives in an open and dynamic environment. These systems require speci...
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Chapter and Conference Paper
A State-of-the-Art Review of the Mutation Analysis Technique for Testing Multi-agent Systems
Testing systems developed using the agent paradigm is an important task in the quality assurance process. In this short paper, we give a state-of-the-art overview of the research that has been suggested for te...
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Chapter and Conference Paper
Transfer Learning for the Classification of Small-Cell and Non-small-Cell Lung Cancer
Lung cancer is a disease caused by abnormal lung cell growth. The number of people of all ages and sexes with lung tumors is constantly increasing. Classical classification of lung tumors can be sometimes misl...
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Chapter and Conference Paper
Deep Neural Network Based TensorFlow Model for IoT Lightweight Cipher Attack
The internet of Things (IoT) technology is present in all aspects of our modern lives, and its standard usage is increasing remarkably. But their inherent limitations in size, storage memory, and power consump...
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Article
Maximizing WSN Life Using Power Efficient Grid-Chain Routing Protocol (PEGCP)
Recently, wireless sensor networks (WSNs) attracted the attention of searchers, due to the critical role in several applications like environmental monitoring, habitat study, military surveillance, smart homes...
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Chapter and Conference Paper
Big Data and Interactive Visualization: Overview on Challenges, Techniques and Tools
The data visualization makes for analysts easier to perform the exploratory analysis and research process. Unlike traditional data, other features mark the data in the Big Data context, namely their extremely ...
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Chapter and Conference Paper
Taxonomy of Supervised Machine Learning for Intrusion Detection Systems
This paper presents a taxonomy of supervised machine learning techniques for intrusion detection systems (IDSs). Firstly, detailed information about related studies is provided. Secondly, a brief review of pub...
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Chapter and Conference Paper
A Detailed Analysis of Using Supervised Machine Learning for Intrusion Detection
Machine learning is more and more used in various fields of the industry, which go from the self driving car to the computer security. Nowadays, with the huge network traffic, machine learning represents the m...
