Search alternatives:
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
abs algorithm » jaya algorithm (Expand Search), rd algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), colony algorithm (Expand Search), scheduling algorithm (Expand Search)
abs algorithm » jaya algorithm (Expand Search), rd algorithm (Expand Search)
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Reinforcement Learning for Resilient Aerial-IRS Assisted Wireless Communications Networks in the Presence of Multiple Jammers
Published 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. …”
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The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions
Published 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. …”
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Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas
Published 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. …”
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Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks
Published 2025“…However, maintaining high operational stability is increasingly challenging due to evolving grid complexities and potential adversarial threats. This paper proposes a novel composite enhanced proximal policy optimization (CePPO) algorithm to improve power grid operation under adversarial conditions. …”
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Improving Rule Set Based Software Quality Prediction
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129
Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials
Published 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. …”
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A hybrid EDF/FIFO queue for efficient real time flow handling
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conferenceObject -
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Multigrid solvers in reconfigurable hardware. (c2006)
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masterThesis -
134
A Concurrency control model for multilevel secure object-oriented databases
Published 1995“…Most research in security and multilevel secure database management systems (MLS/DBMS) focus on relational systems. However, with the emergence of new and complex applications, research in object-oriented security is gaining more prominence. …”
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R-CONV++: uncovering privacy vulnerabilities through analytical gradient inversion attacks
Published 2025“…Building on this foundation, the second algorithm extends this analytical approach to support high-dimensional input data, substantially enhancing its utility across complex real-world datasets. …”
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A new approach and faster exact methods for the maximum common subgraph problem
Published 2017“…Department of Energy’s Genomes to Life program under the ORNL-PNNL project “Exploratory Data Intensive Computing for Complex Biological Systems.”…”
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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management
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doctoralThesis -
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Central schemes for ideal magnetohydrodynamics
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conferenceObject -
139
Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4
Published 2025“…This finding highlights the potential of generative AI to bridge the gap between complex AI decision-making processes. This research underscores the viability of employing generative AI to elucidate the underlying mechanisms of sequential prediction models, paving the way for more transparent AI systems.…”
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Assigning proctors to exams using scatter search. (c2006)
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masterThesis