Explanipedia

Towards sustainable industry 4.0: A survey on greening IoE in 6G networks Open

Saeed Hamood Alsamhi, Ammar Hawbani, Radhya Sahal, Sumit Srivastava, Santosh Kumar , et al. · 2024

Revolutionizing Industry5.0: Harnessing Advanced Technologies for Human-Robot Collaboration in Post-Pandamic Societal Resilience Open

SAEED AHMED, Ammar Hawbani, Radhya Sahal, Sumit Srivastava, Santosh Kumar , et al. · 2024

Towards Sustainable Industry 4.0: A Survey on Greening the Ioe in 6g Networks Open

SAEED AHMED, Ammar Hawbani, Radhya Sahal, Sumit Srivastava, Santosh Kumar , et al. · 2024

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

Kanak Kumar, Navin Singh Rajput, Alexey V. Shvetsov, Abdu Saif, Radhya Sahal , et al. · 2023

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, pharmaceut…

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

Kanak Kumar, Shiv Nath Chaudhri, Navin Singh Rajput, Alexey V. Shvetsov, Radhya Sahal , et al. · 2023

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 art…

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

Deema Mohammed Alsekait, Hager Saleh, Lubna A. Gabralla, Khaled Alnowaiser, Shaker El–Sappagh , et al. · 2023

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 ph…

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

Radhya Sahal, Saeed Hamood Alsamhi, Kenneth N. Brown · 2022

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 …

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

Saeed Hamood Alsamhi, Alexey V. Shvetsov, Santosh Kumar, Jahan Hassan, Mohammed A. Alhartomi , et al. · 2022

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…

Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case Open

Radhya Sahal, Saeed Hamood Alsamhi, Kenneth N. Brown, Donna O’Shea, Bader Alouffi · 2022

Emerging technologies such as digital twins, blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) play a vital role in driving the industrial revolution in all domains, including the healthcare sector. As a result of COVI…

Blockchain-Empowered Digital Twins Collaboration: Smart Transportation Use Case Open

Radhya Sahal, Saeed Hamood Alsamhi, Kenneth N. Brown, Donna O’Shea, C.T. McCarthy , et al. · 2021

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 …

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

Faris A. Almalki, Saeed Hamood Alsamhi, Radhya Sahal, Jahan Hassan, Ammar Hawbani , et al. · 2021

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 ene…

Green internet of things using UAVs in B5G networks: A review of applications and strategies Open

Saeed Hamood Alsamhi, Fatemeh Afghah, Radhya Sahal, Ammar Hawbani, Mohammed A. A. Al‐qaness , et al. · 2021

Recently, Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a significant interest…

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

Radhya Sahal, Saeed Hamood Alsamhi, John G. Breslin, Kenneth N. Brown, Muhammad Intizar Ali · 2021

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 in…

Green IoT using UAVs in B5G Networks: A Review of Applications and Strategies Open

Saeed Hamood Alsamhi, Fatemeh Afghah, Radhya Sahal, Ammar Hawbani, A. A. Al-qaness , et al. · 2021

Unmanned Aerial Vehicles (UAVs) present a promising advanced technology that can enhance people life quality and smartness of cities dramatically and increase overall economic efficiency. UAVs have attained a significant interest in suppor…

Industry 4.0 towards Forestry 4.0: Fire Detection Use Case Open

Radhya Sahal, Saeed Hamood Alsamhi, John G. Breslin, Muhammad Intizar Ali · 2021

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 clim…

The Role of Medication Data to Enhance the Prediction of Alzheimer’s Progression Using Machine Learning Open

Shaker El–Sappagh, Tamer Abuhmed, Bader Alouffi, Radhya Sahal, Naglaa Abdelhade , et al. · 2021

Early detection of Alzheimer’s disease (AD) progression is crucial for proper disease management. Most studies concentrate on neuroimaging data analysis of baseline visits only. They ignore the fact that AD is a chronic disease and patient…

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

Abdullah Alharbi, Wael Alosaimi, Radhya Sahal, Hager Saleh · 2021

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 tec…

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

Basim Mahbooba, Mohan Timilsina, Radhya Sahal, Martín Serrano · 2021

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 …

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

Basim Mahbooba, Radhya Sahal, Wael Alosaimi, Martín Serrano · 2021

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 desig…

Machine Learning for Smart Environments in B5G Networks: Connectivity and QoS Open

Saeed Hamood Alsamhi, Faris A. Almalki, Hatem Al-Dois, Ben Othman Soufiene, Jahan Hassan , et al. · 2021

The number of Internet of Things (IoT) devices to be connected via the Internet is overgrowing. The heterogeneity and complexity of the IoT in terms of dynamism and uncertainty complicate this landscape dramatically and introduce vulnerabi…

An Optimized Hybrid Deep Learning Model to Detect COVID‐19 Misleading Information Open

Bader Alouffi, Abdullah Alharbi, Radhya Sahal, Hager Saleh · 2021

Fake news is challenging to detect due to mixing accurate and inaccurate information from reliable and unreliable sources. Social media is a data source that is not trustworthy all the time, especially in the COVID‐19 outbreak. During the …

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

Xiongwei Zhang, Hager Saleh, Eman M. G. Younis, Radhya Sahal, Abdelmgeid A. Ali · 2020

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 ter…

Exploiting Sharing Join Opportunities in Big Data Multiquery Optimization with Flink Open

Xiaoyan Gao, Radhya Sahal, Gui-Xiu Chen, Mohamed H. Khafagy, Fatma A. Omara · 2020

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 mu…

Real-Time Healthcare Monitoring System using Online Machine Learning and Spark Streaming Open

Fawzya Hassan, Ehsan Masoud, Radhya Sahal · 2020

The real-time monitoring and tracking systems play a critical role in the healthcare field. Wearable medical devices with sensors, mobile applications, and health cloud have continuously generated an enormous amount of data, often called s…

Big data multi-query optimisation with Apache Flink Open

Radhya Sahal, Mohamed H. Khafagy, Fatma A. Omara · 2018

Big data analytic frameworks, such as MapReduce, Spark and Flink, have recently gained more popularity to process large data. Flink is an open-source Apache-hosted big data analytic framework for processing batch and streaming data. For hi…

Comparative Study of Multi-query Optimization Techniques using Shared Predicate-based for Big Data Open

Radhya Sahal, Mohamed H. Khafagy, Fatma A. Omara · 2016

Big data analytical systems, such as MapReduce, have become main issues for many enterprises and research groups.Currently, multi-query which translated into MapReduce jobs is submitted repeatedly with similar tasks.So, exploiting these si…

A Survey on SLA Management for Cloud Computing and Cloud-Hosted Big Data Analytic Applications Open

Radhya Sahal, Mohamed H. Khafagy, Fatma A. Omara · 2016

Cloud computing is a new generation of computing based on the layered model which provides different services to cloud customer. Conceptually, cloud computing offers a scalable platform for Big Data Analytic Applications (BDAAs) which can …

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