بدائل البحث:
system algorithm » swarm algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
complex system » complaint system (توسيع البحث)
res algorithm » rd algorithm (توسيع البحث), deer algorithm (توسيع البحث)
elements res » elements _ (توسيع البحث), elementi per (توسيع البحث)
system algorithm » swarm algorithm (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
complex system » complaint system (توسيع البحث)
res algorithm » rd algorithm (توسيع البحث), deer algorithm (توسيع البحث)
elements res » elements _ (توسيع البحث), elementi per (توسيع البحث)
-
121
-
122
The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions
منشور في 2022"…Then, we provide a comprehensive review of the most widely used DRL algorithms to address RRAM problems, including the value- and policy-based algorithms. …"
-
123
Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers
منشور في 2024"…<p dir="ltr">The evolving landscape of beyond 5G and 6G wireless communication systems in smart urban environments faces numerous interference-related challenges posed by legitimate and illicit devices. …"
-
124
Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas
منشور في 2024"…In this context, we formulate the problem as a non-linear programming (NLP) optimization problem aimed at maximizing the total EH IoT devices and determining the optimal trajectory paths for UAVs while adhering to the constraints related to the maximum time duration, the UAVs’ maximum energy consumption, and the minimum data rate to achieve a reliable transmission. Due to the complexity of the problem, the combinatorial nature of the formulated problem, and the difficulty of obtaining the optimal solution using conventional optimization problems, we propose a lightweight meta-RL solution capable of solving the problem by learning the system dynamics. …"
-
125
-
126
Multigrid solvers in reconfigurable hardware. (c2006)
منشور في 2006احصل على النص الكامل
احصل على النص الكامل
masterThesis -
127
Measuring ripple effect for object-oriented programs. (c2004)
منشور في 2004احصل على النص الكامل
احصل على النص الكامل
masterThesis -
128
UML-based regression testing for OO software
منشور في 2010"…For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
129
Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials
منشور في 1997"…The proposed techniques are: i) a batch-type deconvolution method using the complex bicepstrum algorithm, and ii) automatic ultrasonic defect classification system using a modular learning strategy. …"
احصل على النص الكامل
masterThesis -
130
Collision-Free Autonomous Navigation Solution for Mobile Wheeled
منشور في 2023احصل على النص الكامل
doctoralThesis -
131
Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
منشور في 2019احصل على النص الكامل
doctoralThesis -
132
A Novel Centrality-Based Approach for Link Prediction
منشور في 2025"…Link prediction aims to identify missing or future connections between entities of a complex system, when modeled as a network. This research problem has attracted significant attention due to its relevance in numerous fields. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
133
Assigning proctors to exams using scatter search. (c2006)
منشور في 2006احصل على النص الكامل
احصل على النص الكامل
masterThesis -
134
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. …"
-
135
A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants
منشور في 2006"…The use of U-model alleviates the computational complexity of on-line nonlinear controller design that arises when using other modelling frame works such as NARMAX model. …"
احصل على النص الكامل
احصل على النص الكامل
article -
136
Improving Rule Set Based Software Quality Prediction
منشور في 2003احصل على النص الكامل
احصل على النص الكامل
article -
137
Data-driven robust model predictive control for greenhouse temperature control and energy utilisation assessment
منشور في 2023"…The artificial neural network demonstrates a higher prediction accuracy and is used as the system model in the proposed control framework. A robust model predictive control strategy, based on the minimax objective function and particle swarm optimisation algorithm, is developed to handle the uncertainties in the system. …"
-
138
Leveraging UAVs for Coverage in Cell-Free Vehicular Networks
منشور في 2020"…Then, we leverage deep reinforcement learning to propose an approach for learning the optimal trajectories of the deployed UAVs to efficiently maximize the coverage, where we adopt Actor-Critic algorithm to learn the vehicular environment and its dynamics to handle the complex continuous action space. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
139
-
140
Efficient Seismic Volume Compression using the Lifting Scheme
منشور في 2000"…Finally a runlength plus a Huffman encoding are applied for binary coding of the quantized coefficients.…"
احصل على النص الكامل
article