A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security حسب S. Shitharth (12017480)

"…Moreover, the Reconciliate Multi-Agent Markov Learning (RMML) based classification algorithm is used to predict the intrusion with its appropriate classes. …"

An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

"…Therefore, for this paper multiple machine learning algorithms are investigated to predict system failure based on vehicle trips information as well as maintenance management historical data including preventive maintenance and corrective maintenance. …"
احصل على النص الكامل

Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study حسب El-Ferik, S

"…An online maximum likelihood based-identification algorithm is developed. The required hardware and system instrumentation are detailed. …"
احصل على النص الكامل

Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study حسب El-Ferik, S

"…An online maximum likelihood based-identification algorithm is developed.The required hardware and system instrumentation are detailed. …"
احصل على النص الكامل

Identification And Weather Sensitivity Of Physically Based Model Of Residential Air-Conditioners For Direct Load Control: A Case Study حسب El-Ferik, S

"…An online maximum likelihood based-identification algorithm is developed. The required hardware and system instrumentation are detailed. …"
احصل على النص الكامل

Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification حسب Rajendra Babu Chikkala (22330876)

"…The BRNN model, refined using the Adagrad optimization algorithm, efficiently integrates the learned features from both branches. …"

An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control حسب Mahmoud Dahmani (18810247)

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

"…The states, actions and rewards design consider the factors that impact the efectiveness of a motivator based on applied behavior analysis as well as learners’ individual preferences. 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. …"
احصل على النص الكامل
احصل على النص الكامل

A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study حسب Masurkar, Faeez

"…Finally, a 3D Finite Element simulation was conducted to validate the findings and each observation resulting from the experiments. …"
احصل على النص الكامل

Cooperative Caching Policy in Fog Computing for Connected Vehicles حسب Ghazleh, Ali

"…In this thesis, we implemented cooperation between a Deep Reinforcement Learning (DRL) model and Federated Learning to improve caching in Connected Vehicles connected to fog nodes. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Unlocking new frontiers in epilepsy through AI: From seizure prediction to personalized medicine حسب Majd A. AbuAlrob (22392505)

"…<p>Artificial intelligence (AI) is revolutionizing epilepsy care by advancing seizure detection, enhancing diagnostic precision, and enabling personalized treatment. Machine learning and deep learning technologies improve seizure monitoring, automate EEG analysis, and facilitate tailored therapeutic strategies, addressing the complexities of epilepsy management. …"

Exploring New Parameters to Advance Surface Roughness Prediction in Grinding Processes for the Enhancement of Automated Machining حسب Mohammadjafar Hadad (21142499)

"…Recent studies have concentrated on the development of neural networks, as a subcategory of machine learning techniques, to predict non-linear roughness behavior in relation to various parameters. …"

An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems حسب Abdel-Salam, Mahmoud

"…Several metaheuristics, such as the Genghis Khan Shark Optimizer Algorithm (GKSO), can assist in optimizing the FS issue. …"
احصل على النص الكامل

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

"…About 35 % utilized deep learning algorithms, specifically convolutional neural networks (CNN) (<i>n </i>= 14). …"

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

احصل على النص الكامل

A Modified Oppositional Chaotic Local Search Strategy Based Aquila Optimizer to Design an Effective Controller for Vehicle Cruise Control System حسب Ekinci, Serdar

"…We construct a novel and efficient metaheuristic algorithm by improving the performance of the Aquila Optimizer via chaotic local search and modified opposition-based learning strategies and use it as an excellently performing tuning mechanism. …"
احصل على النص الكامل

Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging حسب Maricar, Mohammed Farook

احصل على النص الكامل

Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring حسب Aya Nabil Sayed (17317006)

"…Our data-driven occupancy detection approach utilized Machine Learning (ML) algorithms to intelligently determine room occupancy, allowing for precise energy management based on real-time usage patterns. …"

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

احصل على النص الكامل

Evolutionary support vector regression for monitoring Poisson profiles حسب Ali Yeganeh (16624998)

"…A diagnostic method with machine learning approach is also used to identify the parameters of change in the profile. …"