A Navigation System for Indoor/Outdoor Environments with an Unmanned Ground Vehicle (UGV) حسب Roigari, Milad

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Advancing Data Center Networks: A Focus on Energy and Cost Efficiency حسب Zina Chkirbene (16869987)

"…These topologies must incorporate fault-tolerant and efficient routing algorithms. Consequently, the data center network topology must dynamically adapt to ever-changing application requirements. …"

A Comprehensive Framework for Optimizing and Integrating Electric Bus Service with Smart Grids for Sustainable Public Transportation حسب AlAli, Aisha Abdalla

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Dynamic multiple node failure recovery in distributed storage systems حسب Itani, May

"…We present a range of results for our proposed algorithms in several scenarios to assess the effectiveness of the solution approaches that are shown to generate results close to optimal.…"
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YOLO-SAIL: Attention-Enhanced YOLOv5 With Optimized Bi-FPN for Ship Target Detection in SAR Images حسب Prabu Selvam (22330264)

"…It has recently become increasingly popular to apply deep learning algorithms to the identification of ships in SAR images. …"

Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology حسب Al-Hemairy, Moh'd Hussain

"…Based on the surprising experimental results done by a previous study in the security lab which proposed an optimal algorithm to enhance their ability against the two famous network attacks; we implemented the proposed algorithm by this study and stimulate the experiment in order to test the algorithm performance. …"
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ISSP حسب Zouein, P.P.

"…Many decision-support tools were developed to assist planners in space scheduling but these were limited to providing the user with a platform that ties spatial and temporal data in the project and left it up to the user to decide on positions of resources and schedule adjustments to solve spatial conflicts that may arise in the process of constructing site layouts over time.The ISSP system, presented here, provides a graphical user-interactive interface with underlying layout and scheduling algorithms that construct feasible layout and schedule solutions under 2-dimensional spatial constraints between resources. …"
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Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier حسب Yassine Himeur (14158821)

"…Furthermore, an improved k-nearest neighbors (IKNN) algorithm is presented to reduce the learning computation time and improve the classification performance. …"

Assessment of static pile design methods and non-linear analysis of pile driving حسب Abou-Jaoude, Grace G.

"…The pile/soil interaction system is described by a mass/spring/dashpot system where the properties of each component are derived from rigorous analytical solutions or finite element analysis. The outcome of this research is an algorithm that can be used to predict pile displacement and driving stresses. …"
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Framework for rapid design and optimisation of immersive battery cooling system حسب Ali Almshahy (23544823)

"…Two key parameters are optimised, namely: battery gap spacing (3–10 mm) and inlet/outlet width (5–15 mm), via Optimal Latin Hypercube Sampling, Support Vector Regression, and GDE3 algorithm. Palm biodiesel is used as a dielectric coolant in the proposed system to preserve LIB temperature within 20–40°C, preventing thermal runaway and ensuring a lightweight BTMS design. …"

Face Recognition in Uncontrolled Indoor Environment حسب Abuqaaud, Kamal Adel

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Enhancing multilayer perceptron neural network using archive-based harris hawks optimizer to predict gold prices حسب Abu Doush, Iyad

"…Harris Hawks optimizer (HHO) is a recently proposed metaheuristic technique that mimics the harris’ hawks behavior to chase and catch prey. In this paper, the algorithm search process is enhanced by introducing an external archive that saves the best solutions to be used in the next iterations. …"
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Island artificial bee colony for global optimization حسب Abu Doush, Iyad

"…This paper proposes an efficient version of artificial bee colony (ABC) algorithm based on the island model concepts. The new version is called the island artificial bee colony (iABC) algorithm. …"
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Dynamic performance evaluation and machine learning-assisted optimization of a solar-driven system integrated with PCM-based thermal energy storage: A case study approach حسب Haitham Osman (11737057)

"…A comprehensive techno-economic analysis is conducted, supported by a machine learning-assisted optimization framework that combines artificial neural networks with genetic algorithms. Considering optimum conditions, the system attains an exergetic efficiency of 30.13 % and a power generation of 7.24 MW, with a cost rate of 232.06 $/h and a payback period of 4.09 years. …"

ECG Signal Reconstruction on the IoT-Gateway and Efficacy of Compressive Sensing Under Real-Time Constraints حسب Mohammed Al Disi (16855407)

"…Results show that both the orthogonal matching pursuit and subspace pursuit reconstruction algorithms can be executed on the platform in real time and yield optimum performance on a single A15 core at minimum frequency. …"

Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques حسب Hassan, Mahitab Alaaeldin

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Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning حسب ALFALASI, FARIS Jr

"…The data needs to be initially prepared so that deep learning algorithms may be trained on it before cyberbullying analysis can be done. …"
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Binary B-Hill Climbing Optimizer with S-shape Transfer Function for Feature Selection حسب Abou Doush, Iyad

"…In this paper, a β β -hill climbing optimizer is applied to solve the feature selection problem. β β -hill climbing is recently introduced as a local-search based algorithm that can obtain pleasing solutions for different optimization problems. …"
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Reputation-based cooperative detection model of selfish nodes in cluster-based QoS-OLSR protocol. (c2014) حسب Moati, Nadia

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Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring حسب Zina Chkirbene (16869987)

"…The core of DRLLVT is its novel algorithm that leverages Deep Reinforcement Learning (DRL) to dynamically adapt to changing environmental conditions, facilitating real-time decisions that consider node capacities, latency, and the overall network dynamics. …"