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. …"

A reduced model for phase-change problems with radiation using simplified PN approximations حسب Belhamadia, Youssef

"…Using the integro-differential equation for the radiative intensity in these models results in a system of coupled equations for which its numerical solution is computationally very demanding. In the present study, we develop a class of efficient reduced models for phase-change problems accounting for grey thermal radiation. …"
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Development of a deep learning-based group contribution framework for targeted design of ionic liquids حسب Sadah Mohammed (18192859)

"…Correlation results align with the experimental data, affirming the applicability of our framework. Finally, the algorithm is employed in a CO₂ capture case study to generate and select the best-performing novel ILs, which exhibit behavior consistent with established ILs in the literature.…"

Design and analysis of entropy-constrained reflected residual vector quantization حسب Mousa, W.A.H.

"…Jointly optimized RVQ (JORVQ) is an effective design algorithm for minimizing the overall quantization error. …"
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Design and Analysis of Lightweight Authentication Protocol for Securing IoD حسب Saeed Ullah Jan (9079260)

"…We proposed a hash message authentication code/secure hash algorithmic (HMACSHA1) based robust, improved and lightweight authentication protocol for securing IoD. …"

Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems حسب Rania A., Turky

"…The proposed algorithm is an enhanced version of the CMPN by adding the sub-band filtering algorithm effect. …"
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Determining Dominant Wind Directions حسب Selim, S.Z.

"…A case study which involves the construction of a transition probability matrix for the wind at a location is presented.…"
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Lung cancer medical images classification using hybrid CNN-SVM حسب Abdulrazak Yahya Saleh (18520026)

"…Computer-Aided Detection (CAD) has been used to process CT images of the lung to determine whether an image has traces of cancer. This paper presents an image classification method based on the hybrid Convolutional Neural Network (CNN) algorithm and Support Vector Machine (SVM). …"

Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network حسب Fares Almomani (12585685)

"…<p dir="ltr">The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO₃ on the performance of anaerobic digestion (AD) process. …"

Blockchain-Based Decentralized Architecture for Software Version Control حسب Muhammad Hammad (17541570)

"…Most version control repositories are centralized and can be modified by external sources, implying that they are in danger of being corrupted or controlled. In this study, we present the BDA-SCV architecture for implementing a version control system in blockchain technology. …"

An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services حسب ALBARGHOTHI, ALI BAHA’EDDIN

"…In this study, we present an approach for automatic extraction of an ontology-based SW constructed from Arabic webpages related to Dubai’s e-government services. …"
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Role of authentication factors in Fin-tech mobile transaction security حسب Habib Ullah Khan (12024579)

"…In addition, this also ensures the user is legitimate using advanced technologies and algorithms to predict and discover transaction risks and discourage fraudsters from trying.…"

Learn while tracking. (c2013) حسب Toukhtarian, Raffi

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De-Linkability حسب Haraty, Ramzi

"…We also provide a sanitizing MD*-algorithm to enforce de-linkability and present a set of experiments to demonstrate its efficiency.…"
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Intelligent route to design efficient CO₂ reduction electrocatalysts using ANFIS optimized by GA and PSO حسب Majedeh Gheytanzadeh (17541927)

"…The primary purpose of this study is to establish a new model through machine learning methods; namely, adaptive neuro-fuzzy inference system (ANFIS) combined with particle swarm optimization (PSO) and genetic algorithm (GA) for the prediction of *CO (the key intermediate) adsorption energy as the efficiency metric. …"

Virtual Inertia Support in Power Systems for High Penetration of Renewables—Overview of Categorization, Comparison, and Evaluation of Control Techniques حسب Naruttam Kumar Roy (16904544)

"…Integrating intelligent methods, such as fuzzy logic, genetic algorithm, non-convex optimization, and heuristic optimization, signify intelligent control methods. …"

Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test حسب Hasan T. Abbas (8115014)

"…We trained and validated the models using the OGTT and demographic data of 1,492 healthy individuals collected during the San Antonio Heart Study. This study collected plasma glucose and insulin concentrations before glucose intake and at three time-points thereafter (30, 60 and 120 min). …"

Combined cycle gas turbine system optimization for extended range electric vehicles حسب Barakat, Aya A.

"…This study presents a methodology for the design and optimization of the most optimal combined cycle system configuration, suitable to replace the engine in a series-hybrid extended-range electric vehicle, and investigates its potential fuel savings. …"
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Modeling and thermoeconomic analysis of new polygeneration system based on geothermal energy with sea water desalination and hydrogen production حسب Wulaer Shaersaikai (21436652)

"…<p>In order to maximize heat recovery through cascading processes, this study presents the development of an advanced polygeneration system that combines liquefied natural gas (LNG) and geothermal power generation. …"

Developing an online hate classifier for multiple social media platforms حسب Joni Salminen (7434770)

"…We then experiment with several classification algorithms (Logistic Regression, Naïve Bayes, Support Vector Machines, XGBoost, and Neural Networks) and feature representations (Bag-of-Words, TF-IDF, Word2Vec, BERT, and their combination). …"