بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
element » elements (توسيع البحث)
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121
An Ontology-based Semantic Web for Arabic Question Answering: The Case of E-Government Services
منشور في 2018"…The fact that the number of diverse users is growing urges researchers to benefit from this information and develop techniques that analyse customers’ experiences to meet their needs. …"
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122
Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog...
منشور في 2023"…This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. …"
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123
Multigrid solvers in reconfigurable hardware. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
124
Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d...
منشور في 2020"…<h3>Objective</h3><p dir="ltr">To develop a machine-based algorithm from clinical and demographic data, physical activity and glucose variability to predict hyperglycaemic and hypoglycaemic excursions in patients with type 2 diabetes on multiple glucose lowering therapies who fast during Ramadan.…"
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125
A Deployment Optimization Model for Wimax Base-Stations
منشور في 2011احصل على النص الكامل
doctoralThesis -
126
Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)
منشور في 2020"…To cope with this difficult task and perform an effective and well-controlled BP operation, an artificial neural network (ANN) algorithm was developed to simulate, model, and control a three-stage (anaerobic/anoxic and MBBR) enhanced nutrient removal biological process (ENR-BP) challenging real wastewater. …"
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127
Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test
منشور في 2019"…In this paper, we present an automatic tool that uses machine learning techniques to predict the development of type 2 diabetes mellitus (T2DM). Data generated from an oral glucose tolerance test (OGTT) was used to develop a predictive model based on the support vector machine (SVM). …"
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128
DRL-Based IRS-Assisted Secure Visible Light Communications
منشور في 2022"…Therefore, we proposed a Deep Reinforcement Learning (DRL) solution based on Deep Deterministic Policy Gradient (DDPG) algorithm to solve the highly complex SC problem by adjusting the BF weights and mirror orientations. …"
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129
Auto Takeoff and Precision Landing using Integrated GPS/INS/Optical Flow Solution
منشور في 2015احصل على النص الكامل
doctoralThesis -
130
A GRASP Approach for Solving Large-Scale Electric Bus Scheduling Problems
منشور في 2021"…To be more precise, a greedy randomized adaptive search procedure (GRASP) algorithm is developed and its performance is evaluated against optimal solutions acquired using the MIP. …"
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131
Peak Loads Shaving in a Team of Cooperating Smart Buildings Powered Solar PV-Based Microgrids
منشور في 2021"…The developed predictive model is implemented as a smart energy management based high-level control of the TCM to reduce/shave the peak loads and satisfy the EVs power demands through a coordination of the power exchanges between the microgrids. …"
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132
Reconfigured Photovoltaic Model to Facilitate Maximum Power Point Tracking for Micro and Nano-Grid Systems
منشور في 2022"…The occurrence of multiple power peaks and their location are highly uncertain in PV systems; this necessitates the use of complex maximum power point tracking algorithms to introduce high voltage oscillations. …"
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133
Assigning proctors to exams using scatter search. (c2006)
منشور في 2006احصل على النص الكامل
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masterThesis -
134
A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
منشور في 2022"…<p>Communication has become a lot easier in this era of technology, development of high-speed computer networks, and the inexpensive uses of Internet. …"
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135
Building power consumption datasets: Survey, taxonomy and future directions
منشور في 2020"…Accordingly, a novel visualization strategy based on using power consumption micro-moments has been presented along with an example of deploying machine learning algorithms to classify the micro-moment classes and identify anomalous power usage.…"
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136
Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle
منشور في 2025"…The siting and sizing methodology is conducted by considering five different optimization algorithms, namely the single-objective genetic algorithm (SOGA), the combined SOGA and loss sensitivity factor algorithm (SOGA-LSF), the multi-objective genetic algorithm (MOGA), the combined MOGA-LSF and the CAPADD algorithm of OpenDSS. …"
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masterThesis -
137
Inferential sensing techniques in industrial applications
منشور في 0007"…Neural networks are powerful tool for modeling highly complex nonlinear systems, especially when the physics of the system is not clearly known or di±cult to determine. …"
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masterThesis -
138
An Alternating Projection Framework for Elementwise Masked Nonlinear Matrix Decomposition
منشور في 2025احصل على النص الكامل
doctoralThesis -
139
Estimating Vehicle State by GPS/IMU Fusion with Vehicle Dynamics
منشور في 2013احصل على النص الكامل
doctoralThesis -
140
An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network
منشور في 2021"…In this work, an efficient medical decision system for diabetes prediction based on Deep Neural Network (DNN) is presented. Such algorithms are state‐of‐the‐art in computer vision, language processing, and image analysis, and when applied in healthcare for prediction and diagnosis purposes, these algorithms can produce highly accurate results. …"