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241

Multi‐Task Deep Reinforcement Learning with Scenario Clustering for Real‐Time Scheduling of Wind‐Solar‐Hydro Complementary Generation Systems.
Ge, Yuanyu ; Xie, Jun ; Feng, Shuo ; et al.
IET Renewable Power Generation (Wiley-Blackwell). Jan2025, Vol. 19 Issue 1, p1-22. 22p.

Renewable energy sources Energy consumption Reinforcement learning Scheduling software Automated planning & sch... Machine learning
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242

Communication-Efficient Adam-Type Algorithms for Distributed Data Mining
Xian, Wenhan ; Huang, Feihu ; Huang, Heng

Computer Science - Machi... Computer Science - Distr...
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243

Influenza Epidemic Trend Surveillance and Prediction Based on Search Engine Data: Deep Learning Model Study.
Yang, Liuyang ; Zhang, Ting ; Han, Xuan ; et al.
Journal of Medical Internet Research. 2023, Vol. 25 Issue 1, p1-10. 10p.

Database searching Respiratory diseases Emerging infectious dise... Public health surveillan... Pearson correlation (Sta...
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244

A collaborative iterated greedy algorithm with reinforcement learning for energy-aware distributed blocking flow-shop scheduling.
Bao, Haizhu ; Pan, Quanke ; Ruiz, Rubén ; et al.
Swarm & Evolutionary Computation. Dec2023, Vol. 83, pN.PAG-N.PAG. 1p.

Flow shop scheduling Machine learning Reinforcement learning Greedy algorithms Tabu search algorithm Linear programming …
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245

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246

A novel hybrid downsampling and optimized random forest approach for islanding detection and non‐islanding power quality events classification in distributed generation integrated system.
Mishra, Sairam ; Mallick, Ranjan Kumar ; Gadanayak, Debadatta Amaresh ; et al.
IET Renewable Power Generation (Wiley-Blackwell). Jun2021, Vol. 15 Issue 8, p1662-1677. 16p.

Wind power Wind power plants Photovoltaic power gener... Hilbert-Huang transform Random forest algorithms
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247

A Review of Optical Grouping Techniques for Distributed Training of Large Models
WANG Dongrou ; LI Xin ; ZHAO Chenyu ; et al.
Guangtongxin yanjiu, p 250050-15 (2025)

large model distributed... optical grouping technol... multi-intelligence centr... Applied optics. Photonic... TA1501-1820
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248

Parallel Deep Learning with a hybrid BP-PSO framework for feature extraction and malware classification.
Al-Andoli, Mohammed Nasser ; Tan, Shing Chiang ; Sim, Kok Swee ; et al.
Applied Soft Computing. Dec2022, Vol. 131, pN.PAG-N.PAG. 1p.

Deep learning Feature extraction Blended learning Malware Distributed computing Particle swarm optimizat...
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249

Multi-agent off-policy actor-critic algorithm for distributed multi-task reinforcement learning.
Stanković, Miloš S. ; Beko, Marko ; Ilić, Nemanja ; et al.
European Journal of Control. Nov2023, Vol. 74, pN.PAG-N.PAG. 1p.

Distributed algorithms Reinforcement learning Machine learning Stochastic approximation
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250

A radial space division based evolutionary algorithm for many-objective optimization.
He, Cheng ; Tian, Ye ; Jin, Yaochu ; et al.
Applied Soft Computing. Dec2017, Vol. 61, p603-621. 19p.

Search algorithms Evolutionary algorithms Combinatorial optimizati... Machine learning Artificial neural networ...
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251

Asynchronous Distributed Optimization with Stochastic Delays
Glasgow, Margalit ; Wootters, Mary

Computer Science - Machi... Computer Science - Distr... Statistics - Machine Lea...
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252

ATPSO: Adaptive Task Priority Scheduling and Offloading Optimization Scheme for vehicles in harsh environments.
Li, Xiguang ; Zhao, Yuchen ; Sun, Yunhe ; et al.
Ad Hoc Networks. Aug2025, Vol. 175, pN.PAG-N.PAG. 1p.

Reinforcement learning Deep reinforcement learn... Machine learning Resource allocation Edge computing
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253

Push-Sum Distributed Dual Averaging for convex optimization
Tsianos, Konstantinos I. ; Lawlor, Sean ; Rabbat, Michael G.
2012 IEEE 51st IEEE Conference on Decision and Control (CDC) Decision and Control (CDC), 2012 IEEE 51st Annual Conference on. :5453-5458 Dec, 2012

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254

Demand response model based on improved Pareto optimum considering seasonal electricity prices for Dongfushan Island.
Wu, Xiaomin ; Cao, Weihua ; Wang, Dianhong ; et al.
Renewable Energy: An International Journal. Feb2021, Vol. 164, p926-936. 11p.

Energy consumption Pareto optimum Consumption (Economics) Microgrids Electricity pricing Machine learning …
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255

A Machine Learning Approach for Load Margin Assessment in Balanced Islanded Microgrids.
Peres, Wesley ; Poubel, Raphael P. B.
Journal of Control, Automation & Electrical Systems. Apr2025, Vol. 36 Issue 2, p312-328. 17p.

Artificial neural networ... Artificial intelligence Electrical load Information networks Image processing Phasor measurement …
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256

EO-CNN: An Enhanced CNN Model Trained by Equilibrium Optimization for Traffic Transportation Prediction.
Nguyen, Thieu ; Nguyen, Giang ; Nguyen, Binh Minh
Procedia Computer Science. 2020, Vol. 176, p800-809. 10p.

Minneapolis Metropolitan... Minnesota Convolutional neural net... Deep learning Forecasting Recurrent neural network... …
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257

Evolutionary multimodal multiobjective optimization guided by growing neural gas.
Liu, Yiping ; Zhang, Ling ; Zeng, Xiangxiang ; et al.
Swarm & Evolutionary Computation. Apr2024, Vol. 86, pN.PAG-N.PAG. 1p.

Evolutionary algorithms Pareto optimum Mate selection Machine learning Problem solving Gases
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258

The Impact of Employee's Awareness of Food Safety in Egyptian Hotels: Machine Learning Approach.
Awad, Nancy Awadallah ; Juneja, Sapna ; Mapari, Shrikant ; et al.
Procedia Computer Science. 2025, Vol. 259, p182-192. 11p.

Hygiene Hotel management Support vector machines Waste minimization Food waste Kitchens
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259

Energy-efficient multi-objective distributed assembly permutation flowshop scheduling by Q-learning based meta-heuristics.
Yu, Hui ; Gao, Kaizhou ; Li, Zhiwu ; et al.
Applied Soft Computing. Nov2024, Vol. 166, pN.PAG-N.PAG. 1p.

Machine learning Greedy algorithms Carbon emissions Reinforcement learning Genetic algorithms
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