Data reductions and combinatorial bounds for improved approximation algorithms حسب Abu-Khzam, Faisal N.

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Optimizing Document Classification: Unleashing the Power of Genetic Algorithms حسب Ghulam Mustafa (458105)

"…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …"

Learning control algorithms for tracking "slowly" varying trajectories حسب Saab, Samer S.

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Formal synthesis of VLSI layouts from algorithmic specifications حسب Sait, Sadiq M.

"…This formal high level syntesis system uses recursive algorithms to model the behaviour to be synthesized. …"
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A matrix-based damage assessment and recovery algorithm حسب Haraty, Ramzi A.

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A genetic algorithm for testable data path synthesis حسب Harmanani, H.

"…We follow the allocation method with an automatic test point selection algorithm that trades off design area and delay with test quality. …"
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Convergence behavior of the normalized least mean fourth algorithm حسب Zerguine, A.

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A Comparative Study of Elgamal Based Cryptographic Algorithms حسب Haraty, Ramzi A.

"…To test the security of the algorithms we use a famous attack algorithm called Baby-Step-Giant algorithm which works in the domain of natural integers. …"
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A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

"…This paper presents a new genetic algorithm approach to solve the unit commitment problem in electric power systems. …"
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A neural networks algorithm for data path synthesis حسب Harmanani, Haidar M.

"…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …"
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A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI حسب Oishi Jyoti (21593819)

A hybrid genetic algorithm for task allocation in multicomputers حسب Mansour, Nashat

"…A hybrid genetic algorithm for the task allocation problem (HGATA) in multicomputers is presented. …"
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STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization حسب Muhammad Salman Khan (7202543)

A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance حسب Krishnamoorthy Natarajan (22047464)

"…Chest X-rays, MRI scans, CT scans, and skin lesions are used to diagnose the mentioned diseases. Transfer learning algorithms, such as VGG16, VGG19, ResNet, InceptionV3, and EfficientNetB4, are utilized to categorize various diseases. …"

Matheuristic Fixed Set Search Applied to the Two-Stage Capacitated Facility Location Problem حسب Denis Alicic (23073484)

Interval-Valued SVM Based ABO for Fault Detection and Diagnosis of Wind Energy Conversion Systems حسب Majdi Mansouri (16869885)

"…The proposed improved ABO method consists in reducing the number of samples in the training data set using the Euclidean distance and extracting the most significant features from the reduced data using ABO algorithm. …"

Delay Optimization in LoRaWAN by Employing Adaptive Scheduling Algorithm With Unsupervised Learning حسب Zulfiqar Ali (117651)

Efficiency Optimization of a DSP-Based Standalone PV System Using Fuzzy Logic and Dual-MPPT Control حسب Al Nabulsi, Ahmad

"…This paper presents a new digital control scheme for a standalone photovoltaic (PV) system using fuzzy-logic and a dual maximum power point tracking (MPPT) controller. …"
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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification حسب Rajendra Babu Chikkala (22330876)

"…The BRNN model, refined using the Adagrad optimization algorithm, efficiently integrates the learned features from both branches. …"

Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks حسب S. N. V. Bramareswara Rao (21768302)

"…Nowadays, deep learning algorithms are essential for ensuring the reliable, safe, and efficient operation of these complex energy systems. …"