A quantum algorithm for evolving open quantum dynamics on quantum computing devices حسب Zixuan Hu (13719685)

"…<p dir="ltr">Designing quantum algorithms for simulating quantum systems has seen enormous progress, yet few studies have been done to develop quantum algorithms for open quantum dynamics despite its importance in modeling the system-environment interaction found in most realistic physical models. …"

Artificial intelligence-based methods for fusion of electronic health records and imaging data حسب Farida Mohsen (16994682)

"…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"

Design of a TE-pass reflection mode optical polarizer حسب Khan, M.A.

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Design of a vibration absorber for harmonically forced damped systems حسب Issa, Jimmy

"…Two different numerical approaches are used in solving the problem; the first is based on the genetic algorithm technique and the second on the downhill simplex method. …"
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Power system output feedback stabilizer design via geneticalgorithms حسب Abdel-Magid, Y.L.

"…The paper demonstrates the use of genetic algorithms to design output feedback power system stabilizers. …"
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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition حسب Hanif Heidari (22467148)

"…Using three statistical measures Lyapunov exponents (LE), Correlation Dimension (CD), and approximate entropy (AE), we evaluated the performance of machine learning algorithms over different data lengths. …"

Self-Checking Hardware Design for Montgomery Exponentiation-Based Cryptography حسب Muhammad Ali Akbar (16875915)

"…<p dir="ltr">Montgomery exponentiation is widely used for public-key-based cryptography systems. The current state-of-the-art designs for this algorithm are well-analyzed in terms of hardware overhead but are not investigated for faults caused by physical attacks. …"

Design and Analysis of Lightweight Authentication Protocol for Securing IoD حسب Saeed Ullah Jan (9079260)

"…Its security has been verified formally using Random Oracle Model (ROM), ProVerif2.02 and informally using assumptions and pragmatic illustration. …"

Humanizing AI in medical training: ethical framework for responsible design حسب Mohammed Tahri Sqalli (18420840)

"…Humanizing AI in medical training is crucial to ensure that the design and deployment of its algorithms align with ethical principles and promote equitable healthcare outcomes for both medical practitioners trainees and patients. …"

Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks حسب Yaacoub, Elias

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Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices حسب Aya Hasan Alkhereibi (17151070)

Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review حسب Francisco Monteiro-Guerra (16864122)

Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands حسب Peng, Wang

"…A novel evolving solution based on flower pollination algorithm is also proposed to solve the problem optimally. …"
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Methods for system-on-chip test design, scheduling and optimization. (c2006) حسب Farah, Rana

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Selection of the learning gain matrix of an iterative learning control algorithm in presence of measurement noise حسب Saab, Samer S.

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Hardware design and VLSI implementation of a byte-wise CRCgenerator chip حسب Sait, Sadiq M.

"…The byte-wise CRC algorithm is translated to hardware and pressed in APHL (VLSI design automation language). …"
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Design and implementation of a deep learning-empowered m-Health application حسب Akhan Akbulut (17380285)

Semantic based navigation and lane keeping حسب Abdeen, Abdallah Adel

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KNNOR: An oversampling technique for imbalanced datasets حسب Ashhadul Islam (16869981)

"…The proposed technique called K-Nearest Neighbor OveRsampling approach (KNNOR) performs a three step process to identify the critical and safe areas for augmentation and generate synthetic data points of the minority class. …"

Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R² = 0.05 to 0.99 in a representative thiophene set. …"