Recovery of business intelligence systems حسب Haraty, Ramzi A.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Uplink Noma in UAV-Assisted IoT Networks حسب Mrad, Ali

"…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. The second device is then selected using a heuristic algorithm based on prioritizing devices with higher bit rate requirements and strict deadlines. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Studying cooperative multi-agent reinforcement learning in networks حسب Oudah, Mayada Mohamed

احصل على النص الكامل

Reinforcement Learning-Based School Energy Management System حسب Yassine Chemingui (18891757)

"…After cloning the baseline strategy, the agent learns with proximal policy optimization in an actor-critic framework. …"

A learning approach for prioritized handoff channel allocation in mobile multimedia networks حسب El-Alfy, E.-S.M.

"…Simulations are provided to compare the effectiveness of the proposed algorithm with other known resource-sharing policies such as complete sharing and reservation policies.…"
احصل على النص الكامل

An exact and general model order reduction technique for the finite element solution of elastohydrodynamic lubrication problems حسب Habchi, W.

"…The technique is complemented with a splitting algorithm to alleviate the hurdle of solving an arising semidense matrix system. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle حسب Korkmaz, Jessica

"…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. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management حسب Alhusin, Mohammed Omer Alamin

احصل على النص الكامل

A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks حسب Sakib Mahmud (15302404)

"…We present a structured taxonomy covering value-based, policy-based, actor-critic, model-based, and advanced multi-agent and multi-objective approaches, and link algorithms to tasks such as dispatch, microgrid coordination, real-time pricing, load balancing, and demand–response. …"

Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters حسب Farhan, Abid

احصل على النص الكامل