Search Results - "Alsolai, Hadeel"
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The Impact of Ensemble Techniques on Software Maintenance Change Prediction: An Empirical Study
Published in Applied sciences (01-05-2022)“…Various prediction models have been proposed by researchers to predict the change-proneness of classes based on source code metrics. However, some of these…”
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Leveraging Metaheuristic Unequal Clustering for Hotspot Elimination in Energy-Aware Wireless Sensor Networks
Published in Sensors (Basel, Switzerland) (27-02-2023)“…Wireless sensor networks (WSNs) are becoming a significant technology for ubiquitous living and continue to be involved in active research because of their…”
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3
Modeling of type-II fuzzy logic system with uncertainty handling of groundwater level prediction
Published in Environmental earth sciences (01-05-2022)“…Accurate multi-time scale prediction of groundwater level (GWL) is important for water resources planning and management. But it is difficult to achieve…”
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4
Autonomous Short-Term Traffic Flow Prediction Using Pelican Optimization with Hybrid Deep Belief Network in Smart Cities
Published in Applied sciences (01-11-2022)“…Accurate and timely traffic flow prediction not just allows traffic controllers to evade traffic congestion and guarantee standard traffic functioning, it even…”
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5
A Systematic Review of Literature on Automated Sleep Scoring
Published in IEEE access (2022)“…Sleep is a period of rest that is essential for functional learning ability, mental health, and even the performance of normal activities. Insomnia, sleep…”
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Automated sign language detection and classification using reptile search algorithm with hybrid deep learning
Published in Heliyon (15-01-2024)“…Sign language recognition (SLR) contains the capability to convert sign language gestures into spoken or written language. This technology is helpful for deaf…”
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7
Anomalies Prediction in Radon Time Series for Earthquake Likelihood Using Machine Learning-Based Ensemble Model
Published in IEEE access (2022)“…The ability to predict the radioactive soil radon gas concentration is important for human beings because it serves as a precursor to earthquakes. Several…”
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8
A Unified Mechanism for Cloud Scheduling of Scientific Workflows
Published in IEEE access (2022)“…Scheduling plays a vital role in the efficient utilization of the available resources in clouds. This paper investigates the capabilities of the current…”
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Dispersal Foraging Strategy with Cuckoo Search Optimization based Path Planning in Unmanned Aerial Vehicle Networks
Published in IEEE access (01-01-2023)“…Unmanned aerial vehicles (UAVs) are assumed to be a promising model of automatic emergency tasks in dynamic marine ecosystems. But, the real-time communication…”
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Enhanced Artificial Gorilla Troops Optimizer Based Clustering Protocol for UAV-Assisted Intelligent Vehicular Network
Published in Drones (Basel) (01-11-2022)“…The increasing demands of several emergent services brought new communication problems to vehicular networks (VNs). It is predicted that the transmission…”
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11
Lung Cancer Prediction Using Robust Machine Learning and Image Enhancement Methods on Extracted Gray-Level Co-Occurrence Matrix Features
Published in Applied sciences (01-07-2022)“…In the present era, cancer is the leading cause of demise in both men and women worldwide, with low survival rates due to inefficient diagnostic techniques…”
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12
Exploiting an Elitist Barnacles Mating Optimizer implementation for substitution box optimization
Published in ICT express (01-08-2023)“…Barnacles Mating Optimizer (BMO) is a new metaheuristic algorithm that suffers from slow convergence and poor efficiency due to its limited capability in…”
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13
Intelligent Deep-Learning-Enabled Decision-Making Medical System for Pancreatic Tumor Classification on CT Images
Published in Healthcare (Basel) (03-04-2022)“…Decision-making medical systems (DMS) refer to the design of decision techniques in the healthcare sector. They involve a procedure of employing ideas and…”
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14
Employing a Long-Short-Term Memory Neural Network to Improve Automatic Sleep Stage Classification of Pharmaco-EEG Profiles
Published in Applied sciences (01-05-2022)“…An increasing problem in today’s society is the spiraling number of people suffering from various sleep disorders. The research results presented in this paper…”
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15
Energy Efficient Transmission Design for NOMA Backscatter-Aided UAV Networks with Imperfect CSI
Published in Drones (Basel) (01-07-2022)“…The recent combination of ambient backscatter communication (ABC) with non-orthogonal multiple access (NOMA) has shown great potential for connecting…”
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Artificial Jellyfish Optimization with Deep-Learning-Driven Decision Support System for Energy Management in Smart Cities
Published in Applied sciences (01-08-2022)“…A smart city is a sustainable and effectual urban center which offers a maximal quality of life to its inhabitants with the optimal management of their…”
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17
Machine Learning-Based Sine-Cosine Algorithm for Wastewater Quality Assessment Using Activated Carbon
Published in Adsorption science & technology (2022)“…Activated carbon is one of the most highly proven adsorbents for organic chemicals from wastewater. It acts as a filter and adsorbs various chemicals from the…”
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18
Optimization of Drone Base Station Location for the Next-Generation Internet-of-Things Using a Pre-Trained Deep Learning Algorithm and NOMA
Published in Mathematics (Basel) (01-04-2023)“…Next-generation Internet-of-Things applications pose challenges for sixth-generation (6G) mobile networks, involving large bandwidth, increased network…”
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A systematic literature review of machine learning techniques for software maintainability prediction
Published in Information and software technology (01-03-2020)“…Software maintainability is one of the fundamental quality attributes of software engineering. The accurate prediction of software maintainability is a…”
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20
Efficient resource allocation and user association in NOMA-enabled vehicular-aided HetNets with high altitude platforms
Published in Computer communications (15-02-2024)“…The increasing demand for massive connectivity and high data rates has made the efficient use of existing spectrum resources an increasingly challenging…”
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