Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)

"…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. While several research papers have focused on the use of LLMs for code completion, these studies are fragmented, and there is no systematic overview of the use of LLMs for code completion. …"

Degree-Based Network Anonymization حسب Halawi, Ola

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Exposure of Botnets in Cloud Environment by Expending Trust Model with CANFES Classification Approach حسب Nagendra Prabhu Selvaraj (17542041)

"…The goal is to be able to detect a larger range of bots and botnets by relying on several techniques called trust model. On this work, the port access verification in trust model is achieved by a Heuristic factorizing algorithm which verifies the port accessibility between client-end-user and client server. …"

Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems حسب Tarek Berghout (16905132)

Integrating Quality And Maintenance Decisions In A Production- Inventory Model For Deteriorating Items حسب Alfares, HK

"…In typical production-inventory models of deteriorating items, deterioration of the production process has not been considered. …"
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A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System حسب Kouatli, Issam

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Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4 حسب Mohammed Rasol Al Saidat

"…In this study, we investigate the role of Generative Pre-trained Transformer 4 (GPT-4) in enhancing interpretability of sequential predictions in Natural Language Processing (NLP). Our study introduces a hybrid model that integrates traditional sequential prediction models with GPT-4, aiming to generate detailed, context-sensitive explanations for model outputs. …"
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On-site workshop investment problem: A novel mathematical approach and solution procedure حسب Nima Moradi (19418821)

"…Two new (linear) mathematical programming models are proposed for MOSWIPT. Next, due to the NP-hardness of the problem, an enhanced Genetic Algorithm (GA)-based metaheuristic with efficient problem-specific improvement rules as local search and effective crossover and mutation operators is proposed. …"

Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS حسب Tekli, Joe

"…We then provide a general keyword query model with specially tailored query processing algorithms built on top of SemIndex, in order to produce semantic-aware results, allowing the user to choose the results' semantic coverage and expressiveness based on her needs. …"
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PROVOKE: Toxicity trigger detection in conversations from the top 100 subreddits حسب Hind Almerekhi (7434776)

"…Therefore, in this study, we find the turning points (i.e., toxicity triggers) making conversations toxic. …"

A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand حسب Khawar Naeem (17984062)

"…One noticeable finding is that only 12% of the articles used quantitative models to complement SDM for the decision-making process. …"

Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks حسب Zahidi, Sarah Hussain

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Toward automatic motivator selection for autism behavior intervention therapy حسب Siyam, Nur

"…We use a Q-learning algorithm to solve the modeled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. …"
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Developing a UAE-Based Disputes Prediction Model using Machine Learning حسب Abu Laila, Ibrahim Wasef Subhi

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Using artificial bee colony to optimize software quality estimation models. (c2015) حسب Abou Assi, Tatiana Antoine

"…We compare our models to others constructed using other well established techniques such as C4.5, Genetic Algorithms, Simulated Annealing, Tabu Search, multi-layer perceptron with back-propagation, multi-layer perceptron hybridized with ABC and the majority classifier. …"
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Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"

Improving MRI Resolution: A Cycle Consistent Generative Adversarial Network-Based Approach for 3T to 7T Translation حسب Zakaria Shams Siam (22048001)

"…The best performing CycleGAN architecture successfully produced the reconstructed images with a high level of accuracy based on different quantitative and qualitative evaluation criteria. Utilizing a post-processing technique, the best performing model generated 7T MRI from 3T MRI with a structural similarity index measure (SSIM) of 83.80%, peak SNR (PSNR) of 26.25, normalized mean squared error (NMSE) of 0.0088 and normalized mean absolute error (NMAE) of 0.0630. …"

Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis حسب Hassan Ali (3348749)

"…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …"

Design of A Theoretical Framework For A Real-Time Fire Evacuation Guidance System حسب Abougharib, Arwa

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Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models حسب Theng, Lau Wei

"…Deep learning is the most promising algorithm compared to another Machine Learning (ML) algorithm. …"
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