Phased Array Technique for Brain Source Localization حسب Zarghami, Tahereh

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Ensemble Deep Random Vector Functional Link Neural Network for Regression حسب Minghui Hu (2457952)

Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis حسب Hassan, Ali

"…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. …"
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Autonomous 3D Deployment of Aerial Base Stations in Wireless Networks with User Mobility حسب Islambouli, Rania

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A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity حسب Abdullah Al Siam (22304047)

"…We examine cutting-edge AI methodologies and principal models across many domains, including machine learning algorithms, deep learning architectures, natural language processing techniques, and anomaly detection algorithms, emphasizing their distinct contributions to enhancing security. …"

Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization حسب Abu Zitar, Raed

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Optimal Sizing and Techno-Economic Analysis of Hybrid Renewable Energy Systems—A Case Study of a Photovoltaic/Wind/Battery/Diesel System in Fanisau, Northern Nigeria حسب Nasser Yimen (16697129)

Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar حسب Sankaran, Rajendran

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Fuzzy Logic Based Patients' Monitoring System حسب Al-Dmour, Jumana

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Iterative Methods for the Solution of a Steady State Biofilter Model حسب Salih, Mubarak Sahal

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Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

"…As a result of the models’ evaluation, a hybrid DL model is proposed that combines the best characteristics of the baseline models CNN, BLSTM and GRU for identifying cyberbullying. …"
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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011) حسب Kozhaya, David Elias

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Identification of the Uncertainty Structure to Estimate the Acoustic Release of Chemotherapeutics From Polymeric Micelles حسب Wadi, Ali

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A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm حسب Amirsajjad Rahmani (17541453)

"…The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …"

A Concurrency control model for multilevel secure object-oriented databases حسب Haraty, Ramzi

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Arabic Hotel Reviews Sentiment Analysis Using Deep Learning حسب ALMANSOORI, MOHAMMAD

"…Our models utilized advanced text preprocessing, feature extraction, and classification algorithms to accurately predict sentiment polarity in Arabic hotel reviews. …"
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Assessment of four dose calculation algorithms using IAEA-TECDOC-1583 with medium dependency correction factor (K_med) application حسب Aram Rostami (22045274)

"…</p><h3>Methods</h3><p dir="ltr">BEAMnrc codes simulate radiation sources and model radiation transport for 6 MV and 15 MV photon beams. …"

Internal Model Control Structure Using Adaptive Inverse Control Strategy حسب Shafiq, M.Riyaz

"…In this paper, we propose a new adaptive IMC scheme based on adaptive finite impulse response filters, which can be designed for both minimum and non-minimum phase systems in the same fashion. The internal model of the plant is estimated by recursive least square algorithm and the inverse of the system by least mean square. …"
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Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes حسب Wadi, Ali

"…This paper models the acoustic drug release of chemotherapeutics from liposomes using a kinetic model that accounts for systematic biases affecting the drug delivery process. …"
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Reinforcement R-learning model for time scheduling of on-demand fog placement حسب Farhat, Peter

"…Experiments comparing the decisions of our model with two other potential fog placement approaches used for task/service scheduling (threshold based and random based) show that the number of processed requests performed by the cloud decreases from 100 to 30% with a limited number of fogs to push. …"
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