Portable Electromagnetic Surface Profiling System حسب Al Homssi, Bassel Mohamad

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Computation of conformal invariants حسب Mohamed M.S. Nasser (16931772)

"…The method we use is based on the boundary integral equation method developed and implemented in [1]. …"

Automated skills assessment in open surgery: A scoping review حسب Hawa Hamza (17707224)

"…An overview of its applications can inform the scientific community and facilitate further developments. In this scoping review, we present the open surgeries and clinical settings where AI-based skill assessment has been applied, the kind of surgical data acquired for the AI-based algorithms, and the types of AI-based models used for automated skills assessment. …"

CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth, Kunhoth

"…This work proposes various machine learning methods, including transfer learning via fine-tuning, transfer learning via feature extraction, ensembles of deep convolutional neural network (CNN) models, and fusion of CNN features, to develop a preliminary dysgraphia diagnosis system based on handwritten images. …"
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CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth Kunhoth (14158908)

"…This work proposes various machine learning methods, including transfer learning via fine-tuning, transfer learning via feature extraction, ensembles of deep convolutional neural network (CNN) models, and fusion of CNN features, to develop a preliminary dysgraphia diagnosis system based on handwritten images. …"

A TABU SEARCH APPROACH TO THE CLUSTERING PROBLEM حسب AlSultan, K.S.

"…In this paper, we develop a new algorithm for solving this problem based on a tabu search technique. …"
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Tabu Search For A Class Of Single-Machine Scheduling Problems حسب Al-Turki, Umar

"…The performance of the developed algorithm is tested for solving the variance minimization problem. …"
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Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) حسب Fares Almomani (12585685)

"…To cope with this difficult task and perform an effective and well-controlled BP operation, an artificial neural network (ANN) algorithm was developed to simulate, model, and control a three-stage (anaerobic/anoxic and MBBR) enhanced nutrient removal biological process (ENR-BP) challenging real wastewater. …"

Digital Image Watermarking Using Balanced Multiwavelets حسب Ghouti, L.

"…The statistical model is based on a generalized Gaussian distribution. …"
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Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks حسب Daou, Leonardo

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Turbo-charging dominating set with an FPT subroutine حسب Abu-Khzam, Faisal N.

"…Turbo-charging is a recent algorithmic technique that is based on the fixed-parameter tractability of the dynamic versions of some problems as a way to improve heuristics. …"
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Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization حسب Yassine Himeur (14158821)

"…While artificial intelligence (AI) smooths the path of computers to think like humans, machine learning (ML) and deep learning (DL) pave the way more, even by adding training and learning components. DL algorithms require data labeling and high-performance computers to effectively analyze and understand surveillance data recorded from fixed or mobile cameras installed in indoor or outdoor environments. …"

STEM: spatial speech separation using twin-delayed DDPG reinforcement learning and expectation maximization حسب Muhammad Salman Khan (7202543)

"…For stationary sources, the proposed system gives satisfactory performance in terms of quality, intelligibility, and separation speed, and generalizes well with the test data from a mismatched speech corpus. Its perceptual evaluation of speech quality (PESQ) score is 0.55 points better than a self-supervised learning (SSL) model and almost equivalent to the diffusion models at computational cost and training data which is many folds lesser than required by these algorithms. …"

Diagnostic performance of artificial intelligence in detecting and subtyping pediatric medulloblastoma from histopathological images: A systematic review حسب Hiba Alzoubi (18001609)

"…</p><h3>Conclusion</h3><p dir="ltr">AI algorithms show promise in detecting and subtyping medulloblastomas, but the findings are limited by overreliance on one dataset, small sample sizes, limited study numbers, and lack of meta-analysis Future research should develop larger, more diverse datasets and explore advanced approaches like deep learning and foundation models. …"

UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices حسب Samir, Moataz

"…Then, we develop an effective sub-optimal algorithm based on successive convex approximation in order to obtain results for larger network scenarios. …"
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Online Control and Optimization of Directional Drilling حسب unknown

"…Gravitational Search Algorithm (GSA) is developed to search for optimal settings of the proposed controller. …"
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Regression testing C# programs. (c2007) حسب Staitieh, Wael

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Vehicular-OBUs-As-On-Demand-Fogs حسب Sami, Hani

"…Observing the headway in vehicular industry, new applications are developed demanding more resources. For instance, real-time vehicular applications require fast processing of the vast amount of generated data by vehicles in order to maintain service availability and reachability while driving. …"
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Cross entropy error function in neural networks حسب Nasr, G.E.

"…To forecast gasoline consumption (GC), the ANN uses previous GC data and its determinants in a training data set. …"
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A new estimator and approach for estimating the subpopulation parameters حسب Mohammad Salehi M. (21259490)

"…<p dir="ltr">Based on some theoretical results, we recommend a new algorithm for estimating the total and mean of a subpopulation variable for the case of a known subpopulation size, which is different from the algorithm recommended by most of sampling books. …"