بدائل البحث:
modeling algorithm » scheduling algorithm (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
element » elements (توسيع البحث)
modeling algorithm » scheduling algorithm (توسيع البحث)
testing algorithm » cosine algorithm (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
data testing » data using (توسيع البحث)
element » elements (توسيع البحث)
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261
Newton-Raphson based adaptive inverse control scheme for tracking of nonlinear dynamic plants
منشور في 2006"…The U-model is utilized to design an adaptive inverse controller by using a simple root-solving algorithm of Newton-Raphson. …"
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article -
262
A novel network-based SIS framework for improved GA performance
منشور في 2025"…Genetic algorithms have long been used to solve complex optimization problems by mimicking natural selection processes. …"
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masterThesis -
263
Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach
منشور في 2023"…Then, using geometrical analysis and deep reinforcement learning (RL) method, we propose several algorithms to find the optimal trajectory and select an optimal pattern during the trajectory. …"
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264
A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem
منشور في 2021"…Due to the complex nature of the capacitated vehicle routingproblem, metaheuristic optimization algorithms are widely used for tackling this type of challenge.Coronavirus Herd Immunity Optimizer (CHIO) is a recent metaheuristic population-based algorithm thatmimics the COVID-19 herd immunity treatment strategy. …"
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265
Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks
منشور في 2022"…This study proposes an analytical method based on sequential quadratic programming (SQP) methodology coupled with a mean value analysis (MVA) algorithm to solve this NP-Hard problem. Furthermore, a discrete event simulation (DES) model is developed to validate the optimisation of non-dominant solutions. …"
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266
Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC
منشور في 2022"…Furthermore, we propose a low-complexity algorithm that generates high performance results and can be applied for large-scale networks. …"
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article -
267
Vehicular-OBUs-As-On-Demand-Fogs
منشور في 2020"…An Evolutionary Memetic Algorithm is elaborated to solve our vehicular container placement problem. …"
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article -
268
A Navigation System for Indoor/Outdoor Environments with an Unmanned Ground Vehicle (UGV)
منشور في 2015احصل على النص الكامل
doctoralThesis -
269
Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
منشور في 2023"…The data needs to be initially prepared so that deep learning algorithms may be trained on it before cyberbullying analysis can be done. …"
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270
Collaborative Caching for D2D Content Sharing in 5G
منشور في 2021احصل على النص الكامل
doctoralThesis -
271
Uplink Noma in UAV-Assisted IoT Networks
منشور في 2022"…Given the complexity of the problem and the incomplete knowledge about the environment, the problem is divided into two subproblems: the first models the UAV trajectory and the selection of the first device in the NOMA cluster at each time slot as a Markov Decision Process, and uses Proximal Policy Optimization to solve it. …"
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masterThesis -
272
Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS
منشور في 2018"…To investigate the practicality and effectiveness of SemIndex, we discuss its physical design within a standard commercial RDBMS allowing to create, store, and query its graph structure, thus enabling the system to easily scale up and handle large volumes of data. We have conducted a battery of experiments to test the performance of SemIndex, evaluating its construction time, storage size, query processing time, and result quality, in comparison with legacy inverted index. …"
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article -
273
A Digital DNA Sequencing Engine for Ransomware Analysis using a Machine Learning Network
منشور في 2020"…In the final phase, the new dataset is trained using active learning concept, and the test data is generated using a random DNA sequence method. …"
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274
Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning
منشور في 2022احصل على النص الكامل
doctoralThesis -
275
Efficient Seismic Volume Compression using the Lifting Scheme
منشور في 2000"…In addition, the lifting scheme offers: 1) a dramatic reduction of the required auxiliary memory, 2) an efficient combination with parallel rendering algorithms to perform arbitrary surface and volume rendering for interactive visualization, and 3) an easy integration in the parallel I/O seismic data loading routines. …"
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article -
276
Autopilot Design and Commercial Autopilot Evaluation Using Flybarless Helicopter
منشور في 2014احصل على النص الكامل
doctoralThesis -
277
Artificial Intelligence for Skin Cancer Detection: Scoping Review
منشور في 2021"…Hence, the reliability of shallow and deep models with higher accuracy scores was questionable since they were trained and tested on relatively small data sets of a few diagnostic classes.…"
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278
Combining offline and on-the-fly disambiguation to perform semantic-aware XML querying
منشور في 2023"…Yet, few of the existing approaches consider XML semantics, and the methods that process semantics generally rely on computationally expensive word sense disambiguation (WSD) techniques, or apply semantic analysis in one stage only: performing query relaxation/refinement over the bag of words retrieval model, to reduce processing time. In this paper, we describe a new approach for XML keyword search aiming to solve the limitations mentioned above. …"
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article -
279
Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
منشور في 2023"…However, these BEMSs often suffer from a critical limitation—they are primarily trained on building energy data alone, disregarding crucial elements such as occupant comfort and preferences. …"
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280
Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features
منشور في 2024"…<p dir="ltr">Stress recognition, particularly using machine learning (ML) with physiological data such as heart rate variability (HRV), holds promise for mental health interventions. …"