Comparative Study on Arabic Text Classification: Challenges and Opportunities حسب Abualigah, Laith

"…This paper presents a comparative study based on a list of chosen published papers that focus on improving Arabic text classifications, to highlight the given models and the used classifiers besides discussing the faced challenges in these types of researches, then this paper proposes the expected research opportunities in the field of text classification research. …"
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A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education حسب Abu Zitar, Raed

"…The main aim of this paper is to map the relationship between teaching practices and student learning based on emotional impact. Facial recognition algorithms extract helpful information from online platforms as image classification techniques are applied to detect the emotions of student and/or teacher faces. …"
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Pre-training on Multi-modal for Improved Persona Detection Using Multi Datasets حسب Abdulla, Salwa

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Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System حسب Fahmida Haque (16896489)

"…Patients have been classified into four classes: Absent, Mild, Moderate, and Severe. The model accuracy was validated with the results from different machine learning algorithms. …"

Machine Learning Techniques for Pharmaceutical Bioinformatics حسب SULTAN, AHMED ATTA AHMED

"…The study integrates knowledge visualization, analysis, as well as development of a predictive model based on the Drug-Drug Interactions (DDIs) as a complex network. …"
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Radar Pulse Interleaving For Multi-Target Tracking حسب Elshafei, M.

"…In this paper, we present new tight 0-1 integer programming models for the radar pulse interleaving problem and develop effective solution methods based on Lagrangian relaxation techniques.…"
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Four quadrant robust quick response optimally efficient inverterfed induction motor drive حسب Islam, S.M.

"…An optimal efficiency calculator provides optimum flux and torque producing current, while a supervisory control eliminates the intricate boot-strap effect of the flux-torque loop. A model reference-based adaptive speed controller guarantees quick speed response and robustness of the drive system. …"
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Condenser capacity and hyperbolic perimeterImage 1 حسب Mohamed M.S., Nasser

"…We study the conformal capacity by using novel computational algorithms based on implementations of the fast multipole method, and analytic techniques. …"
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A family of minimum curvature variable-methods for unconstrained optimization. (c1998) حسب Obeid, Samir Y.

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Predicting Android Malware Using Evolution Networks حسب Chahine, Joy

"…With this aim, we introduce evolutionary networks, and particularly the Susceptible-Infectious-Susceptible (SIS) model, as a way to address the limitations of previous studies which are typically based on traditional machine learning models. …"
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Condenser capacity and hyperbolic perimeter حسب Mohamed M.S. Nasser (16931772)

"…<p dir="ltr">We study the conformal capacity by using novel computational algorithms based on implementations of the fast multipole method, and analytic techniques. …"

Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network حسب Monzure-Khoda Kazi (17191207)

"…These algorithms include random forest (RF) classification and artificial neural networks (ANN). …"

Transformations for Variants of the Travelling Salesman Problem and Applications حسب Assaf, Mustafa Jamil

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The role of Reinforcement Learning in software testing حسب Amr Abo-eleneen (17032284)

"…</p><h3>Results</h3><p dir="ltr">This study highlights different software testing types to which RL has been applied, commonly used RL algorithms and architecture for learning, challenges faced, advantages and disadvantages of using RL, and the performance comparison of RL-based models against other techniques.…"

Assessment and Performance Analysis of Machine Learning Techniques for Gas Sensing E-nose Systems حسب Mahmood, Lubna Syeda

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Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques حسب Hassan, Mahitab Alaaeldin

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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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Conceptual Design and Analysis of Concentrated Photovoltaic Thermal (CPVT) Solar Collectors with Different Configurations حسب Sharaf, Omar Z.

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An intelligent approach to predicting the effect of nanoparticle mixture ratio, concentration and temperature on thermal conductivity of hybrid nanofluids حسب Ifeoluwa Wole-Osho (14151315)

"…A polynomial correlation model, the adaptive neuro-fuzzy inference system model and an artificial neural network model optimised with three different learning algorithms. …"

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. …"