16 results for "Radhya Sahal"

Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model

Basim Mahbooba; Mohan Timilsina; Radhya Sahal et al.

Complexity · 2021 · English · OpenAlex Scopus

Despite the growing popularity of machine learning models in the cyber‐security applications (e.g., an intrusion detection system (IDS)), most of these models are perceived as a black‐box. The eXplainable Artificial Intelligence (XAI) has become increasingly important to interpret the machine…

Also available at: DOAJ

Optimum Resource Allocation of Database in Cloud Computing

Fatma A. Omara; Sherif M. Khattab; Radhya Sahal

Egyptian Informatics Journal, Vol. 15 No. 1 · 2014 · English · DOAJ Scopus

Cloud computing is a new generation of computing based on virtualization technology. An important application on the cloud is the Database Management Systems (DBMSs). The work in this paper concerns about the Virtual Design Advisor (VDA). The VDA is considered a solution for the problem of…

Personal Digital Twin: A Close Look into the Present and a Step towards the Future of Personalised Healthcare Industry

Radhya Sahal; Saeed H. Alsamhi; Kenneth N. Brown

Sensors, Vol. 22 No. 15 · 2022 · English · DOAJ Scopus

Digital twins (DTs) play a vital role in revolutionising the healthcare industry, leading to more personalised, intelligent, and proactive healthcare. With the evolution of personalised healthcare, there is a significant need to represent a virtual replica for individuals to provide the right type…

Real-Time System Prediction for Heart Rate Using Deep Learning and Stream Processing Platforms

Abdullah Alharbi; Wael Alosaimi; Radhya Sahal et al.

Complexity, Vol. 2021 · 2021 · English · DOAJ Scopus

Low heart rate causes a risk of death, heart disease, and cardiovascular diseases. Therefore, monitoring the heart rate is critical because of the heart’s function to discover its irregularity to detect the health problems early. Rapid technological advancement (e.g., artificial intelligence and…

Trust in Intrusion Detection Systems: An Investigation of Performance Analysis for Machine Learning and Deep Learning Models

Basim Mahbooba; Radhya Sahal; Wael Alosaimi et al.

Complexity, Vol. 2021 · 2021 · English · DOAJ Scopus

To design and develop AI-based cybersecurity systems (e.g., intrusion detection system (IDS)), users can justifiably trust, one needs to evaluate the impact of trust using machine learning and deep learning technologies. To guide the design and implementation of trusted AI-based systems in IDS…

Industry 4.0 towards Forestry 4.0: Fire Detection Use Case

Radhya Sahal; Saeed H. Alsamhi; John G. Breslin et al.

Sensors, Vol. 21 No. 3 · 2021 · English · DOAJ Scopus

Forestry 4.0 is inspired by the Industry 4.0 concept, which plays a vital role in the next industrial generation revolution. It is ushering in a new era for efficient and sustainable forest management. Environmental sustainability and climate change are related challenges to promote sustainable…

Predicting Coronavirus Pandemic in Real-Time Using Machine Learning and Big Data Streaming System

Xiongwei Zhang; Hager Saleh; Eman M. G. Younis et al.

Complexity, Vol. 2020 · 2020 · English · DOAJ Scopus

Twitter is a virtual social network where people share their posts and opinions about the current situation, such as the coronavirus pandemic. It is considered the most significant streaming data source for machine learning research in terms of analysis, prediction, knowledge extraction, and…

Digital Twins Collaboration for Automatic Erratic Operational Data Detection in Industry 4.0

Radhya Sahal; Saeed H. Alsamhi; John G. Breslin et al.

Applied Sciences, Vol. 11 No. 7 · 2021 · English · DOAJ Scopus

Digital twin (DT) plays a pivotal role in the vision of Industry 4.0. The idea is that the real product and its virtual counterpart are twins that travel a parallel journey from design and development to production and service life. The intelligence that comes from DTs’ operational data supports…

Exploiting Sharing Join Opportunities in Big Data Multiquery Optimization with Flink

Xiao-Yan Gao; Radhya Sahal; Gui-Xiu Chen et al.

Complexity, Vol. 2020 · 2020 · English · DOAJ Scopus

Multiway join queries incur high-cost I/Os operations over large-scale data. Exploiting sharing join opportunities among multiple multiway joins could be beneficial to reduce query execution time and shuffled intermediate data. Although multiway join optimization has been carried out in MapReduce…

Blockchain-Empowered Digital Twins Collaboration: Smart Transportation Use Case

Radhya Sahal; Saeed H. Alsamhi; Kenneth N. Brown et al.

Machines, Vol. 9 No. 9 · 2021 · English · DOAJ Scopus

Digital twins (DTs) is a promising technology in the revolution of the industry and essential for Industry 4.0. DTs play a vital role in improving distributed manufacturing, providing up-to-date operational data representation of physical assets, supporting decision-making, and avoiding the…

ID2S4FH: A Novel Framework of Intelligent Decision Support System for Fire Hazards

Kanak Kumar; Navin Singh Rajput; Alexey V. Shvetsov et al.

Fire, Vol. 6 No. 7 · 2023 · English · DOAJ Scopus

Modern societies and industrial sectors are serviced through storage and distribution centres (SDCs) such as supermarkets, malls, warehouses, etc. Large quantities of supplies are stocked here, e.g., food grains, clothes, shoes, pharmaceuticals, electronics, plastics, edible oils, electrical…

Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities

Faris A. Almalki; Saeed Hamood Alsamhi; Radhya Sahal et al.

Mobile Networks and Applications · 2021 · English · OpenAlex Scopus

Abstract The development of the Internet of Things (IoT) technology and their integration in smart cities have changed the way we work and live, and enriched our society. However, IoT technologies present several challenges such as increases in energy consumption, and produces toxic pollution as…

An IoT-Enabled E-Nose for Remote Detection and Monitoring of Airborne Pollution Hazards Using LoRa Network Protocol

Kanak Kumar; Shiv Nath Chaudhri; Navin Singh Rajput et al.

Sensors, Vol. 23 No. 10 · 2023 · English · DOAJ Scopus

Detection and monitoring of airborne hazards using e-noses has been lifesaving and prevented accidents in real-world scenarios. E-noses generate unique signature patterns for various volatile organic compounds (VOCs) and, by leveraging artificial intelligence, detect the presence of various VOCs…

Toward Comprehensive Chronic Kidney Disease Prediction Based on Ensemble Deep Learning Models

Deema Mohammed Alsekait; Hager Saleh; Lubna Abdelkareim Gabralla et al.

Applied Sciences, Vol. 13 No. 6 · 2023 · English · DOAJ Scopus

Chronic kidney disease (CKD) refers to the gradual decline of kidney function over months or years. Early detection of CKD is crucial and significantly affects a patient’s decreasing health progression through several methods, including pharmacological intervention in mild cases or hemodialysis and…

Computing in the Sky: A Survey on Intelligent Ubiquitous Computing for UAV-Assisted 6G Networks and Industry 4.0/5.0

Saeed Hamood Alsamhi; Alexey V. Shvetsov; Santosh Kumar et al.

Drones, Vol. 6 No. 7 · 2022 · English · DOAJ Scopus

Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless communication networks. These networks have an avenue for generating a considerable amount of heterogeneous data by the expanding…