The Impacts of Technology Readiness and Attitude Towards Technology for Optimal Technology Integration: A Study among School Leaders and Teachers at Selected Schools in Fujairah by ALDAHMANI, MARYAM

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Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques by Abu Zitar, Raed

“…Nowadays, learning-based modeling methods are utilized to build a precise forecast model for renewable power sources. …”
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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

“…<p dir="ltr">The integration of unmanned aerial vehicles (UAVs) in the Industrial Internet of Things (IIoT) for smart city applications has been gaining significant attention. UAV swarms are increasingly employed to monitor ground-based IIoT devices in smart cities, offering valuable support to situation-awareness IoT applications, such as surveillance, traffic management, and emergency response. …”

Thermal Management System Optimization for Electronics Using Loop Heat Pipe, Guided by Hybrid Heat-Sink Benchmarks, to Enhance Energy Efficiency and Sustainability by Morsi, Kareem

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Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) by Fares Almomani (12585685)

Asynchronous MMC based parallel SA schemes for multiobjective standard cell placement by Sait, Sadiq M.

“…In this paper we develop parallel SA schemes based on the asynchronous multiple-Markov chain model (AMMC) described in S.…”
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Microalgal-based desalination brine remediation: Achievements, challenges, and future research trends by Isra E. Gilani (17019066)

“…In addition, desalination plants consume significant amounts of energy, which contribute to carbon emissions and global warming. …”

Harnessing microalgae for a synergistic approach to CO₂ capture, wastewater treatment, and biodiesel production: A review by Abdullah M. AlSalal (23770842)

“…Extraction methods using <u>ionic liquids</u>, bio-based solvents (e.g., 2-MeTHF), and supercritical CO₂ achieve yields up to 97 %, while optimized <u>transesterification</u> processes using microwave or ultrasound-assisted catalysis report fatty acid methyl ester yields up to 88 %. …”

Deep learning based multimodal urban air quality prediction and traffic analytics by Saad Hameed (6488738)

“…The proposed system tackles the challenge of predicting air quality at locations having no sensors or experiencing sensor failures by training a joint model on the data obtained from nearby stations/sensors using a Particle Swarm Optimization (PSO)-based merit fusion of the sensor data. …”

AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

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Hybrid deep learning based threat intelligence framework for Industrial IoT systems by Jahanzaib Malik (23718816)

“…The proposed approach was also compared against several contemporary deep learning-based architectures and existing benchmark algorithms. …”

Dynamic model scaling based on segmented tumor size for breast cancer detection by Younes Akbari (16303286)

“…However, selecting the optimal model complexity for each image remains a persistent challenge. …”

UAV-based relay system for IoT networks with strict reliability and latency requirements by Abbas, Nadine

“…The problem is formulated as a mixed-integer nonlinear program and linearization is proposed. A clustering-based approach providing low-complexity sub-optimal solutions is presented. …”
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Application of bipolar membrane (BPM)-based technology to green energy and environmental sustainability by Sajna M.S. (22302991)

“…We propose future research directions to optimize BPM and BMED technologies for scalable, sustainable industrial solutions.…”

A clustering metaheuristic for large orienteering problems by Almiqdad Elzein (13141038)

“…The Orienteering Problem is a challenging NP-hard problem, such that obtaining optimal or near optimal solutions usually requires a significant amount of computation for large and even moderately large instances. …”

A comprehensive review on harvesting of microalgae using Polyacrylamide-Based Flocculants: Potentials and challenges by Shifa M.R. Shaikh (17128882)

“…Existing pilot-scale and large-scale polyacrylamide-based flocculation studies were explored. The review further identifies the research gaps, key challenges and future prospects for optimizing microalgae flocculation studies.…”

Enhanced electrochemical and mechanical performance of BN reinforced Ni-P based nanocomposite coatings by Izza Fatima (17346967)

“…Successful incorporation of BNNPs within the Ni-P matrix was achieved by employing tailored Watts bath and optimized deposition parameters. The addition and increment of BNNPs reveal a significant impact on the characteristics of pure Ni-P coatings. …”

A framework based on an input-yield model for greenhouse optimisation for varying environmental conditions by Farhat Mahmood (15468854)

“…Therefore, this study proposes a framework based on an analytical input-yield model that dynamically determines the electricity, water, light, and CO₂ requirements, along with the estimated yield, hourly throughout the crop's growth cycle. …”

A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks by THOMAS, RAJESH

“…Network-based cyber-attacks have been increasing in scale, frequency and sophistication, posing significant threats to nation states and organizations worldwide. …”
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Nano-clay based flexible and implantable bioelectrodes for human body neurostimulation: fabrication and characterization by Alani, Zaid Osama

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