Search Results - an integrated environmental for developing and learning python idle*

Multi-agent deep reinforcement learning for integrated production and maintenance optimisation in shared manufacturing.

Authors: Peng, Xiaoshuai Wang, Shiyi Wang, Kangzhou

Source: International Journal of Production Research; Dec2025, Vol. 63 Issue 23, p8761-8780, 20p

Resource-Constrained and Time-Aware Reinforcement Learning Framework for Sustainable Fertilization Strategies.

Authors: Alkaff, Muhammad Basuhail, Abdullah Sari, Yuslena et al.

Source: Journal of Advanced Computational Intelligence & Intelligent Informatics; Nov2025, Vol. 29 Issue 6, p1342-1357, 16p

Subject Terms: SUSTAINABLE agriculture, NITROGEN, AGRICULTURAL productivity, SOIL quality, PRECISION farming, RESOURCE management, MATHEMATICAL optimization, REINFORCEMENT learning

Real-Time and Fully Automated Robotic Stacking System with Deep Learning-Based Visual Perception.

Authors: Ozer, Ali Sait Cinar, Ilkay

Source: Sensors (14248220); Nov2025, Vol. 25 Issue 22, p6960, 38p

Subject Terms: DEEP learning, COMPUTER vision, REAL-time computing, AUTOMATION, OBJECT recognition (Computer vision), MACHINE-to-machine communications, ROBOTICS

Company/Entity: ABB Ltd.

IOT-ENABLED SMART MINING: LEVERAGING REAL-TIME DATA ANALYTICS AND INFORMATION SYSTEMS FOR SUSTAINABLE MINERAL PROCESSING.

Authors: Pujari, Rajendra Balaramakrishna, K. V. Kumar, Rajiv et al.

Source: Lex Localis: Journal of Local Self-Government; 2025 Supplement, Vol. 23 Issue S6, p6424-6439, 16p

Subject Terms: INTERNET of things, DATA analytics, MINERAL processing, MINING methodology, CONDITION-based maintenance, REAL-time computing, CIRCULAR economy, ENVIRONMENTAL impact analysis

DHDRDS: A Deep Reinforcement Learning-Based Ride-Hailing Dispatch System for Integrated Passenger–Parcel Transport.

Authors: Ge, Huanwen Hu, Xiangwang Cheng, Ming

Source: Sustainability (2071-1050); May2025, Vol. 17 Issue 9, p4012, 18p

Aging Aircraft and Emissions: Machine Learning Predictions in Takeoff and Landing Operations.

Authors: Alrawashdeh, Hala Al-Khatib, Laila A. Abed, Bassam

Source: Nature Environment & Pollution Technology; Sep2025, Vol. 24 Issue 3, p1-12, 12p

Subject Terms: EMISSIONS (Air pollution), MACHINE learning, LANDING (Aeronautics), AIRCRAFT industry, AIRPLANE takeoff, AIRPLANES, AIRCRAFT exhaust emissions, ENVIRONMENTAL impact analysis

A Real-Time Intelligent Acoustic IoT-Enabled Embedded Construction Site Monitoring and Alert System: Integrating Deep Learning–Based Machine-Listening Algorithms, Edge Computing, and Cloud Computing.

Authors: Poudel, Oscar Assaad, Rayan H.

Source: Journal of Construction Engineering & Management; Jul2025, Vol. 151 Issue 7, p1-18, 18p

Subject Terms: BUILDING sites, MACHINE learning, RECURRENT neural networks, CONSTRUCTION industry safety, EVIDENCE gaps, DEEP learning, EDGE computing

Dynamic scheduling for flexible job-shop with reconfigurable manufacturing cells considering dynamic job arrivals based on deep reinforcement learning.

Authors: Zheng, Liang Chen, Xiaodi Zhuang, Cunbo et al.

Source: International Journal of Production Research; Oct2025, Vol. 63 Issue 20, p7427-7459, 33p

Subject Terms: SCHEDULING, REINFORCEMENT learning, MANUFACTURING cells

Visual Perception Element Evaluation of Suburban Local Landscapes: Integrating Multiple Machine Learning Methods.

Authors: Gong, Suning Zhang, Jie Duan, Yuxi

Source: Buildings (2075-5309); Sep2025, Vol. 15 Issue 18, p3312, 22p

Subject Terms: VISUAL perception, MACHINE learning, ENVIRONMENTAL quality, RURAL-urban relations, LANDSCAPE design, GEOGRAPHIC spatial analysis, SUBURBS

Geographic Terms: SHANGHAI (China)

Forecasting Infrastructure Needs, Environmental Impacts, and Dynamic Pricing for Electric Vehicle Charging.

Authors: Jabr, Osama Ayaz, Ferheen Nekovee, Maziar et al.

Source: World Electric Vehicle Journal; Aug2025, Vol. 16 Issue 8, p410, 26p

Subject Terms: ELECTRIC vehicles, GREENHOUSE gases, SUSTAINABLE transportation, TIME-based pricing, POLICY sciences, INFRASTRUCTURE (Economics), MACHINE learning, ENVIRONMENTAL impact analysis

Geographic Terms: CALIFORNIA, PALO Alto (Calif.)

Impact Assessment of Electric Bus Charging on a Real-Life Distribution Feeder Using GIS-Integrated Power Utility Data: A Case Study in Brazil.

Authors: Fantin, Camila dos Anjos Vasconcelos, Fillipe Matos de Pardini, Carolina Gonçalves et al.

Source: World Electric Vehicle Journal; Nov2025, Vol. 16 Issue 11, p621, 26p

Subject Terms: URBAN transportation, SMART power grids, GEODATABASES, ELECTRIC utilities, ELECTRIC vehicle charging stations, BRAZILIANS, ENVIRONMENTAL impact analysis, PHOTOVOLTAIC power systems

Geographic Terms: BRAZIL

A scalable Deep Q-Learning approach for hot stamping process under dynamic control environment.

Authors: Nievas, Nuria Pagès-Bernaus, Adela Abio, Albert et al.

Source: International Journal of Production Research; Apr2025, Vol. 63 Issue 8, p2831-2852, 22p

Subject Terms: DEEP reinforcement learning, REINFORCEMENT learning, FOIL stamping, ARTIFICIAL intelligence, MANUFACTURING processes

Real-time traffic signal optimization for urban mobility: a reinforcement learning-enhanced framework with application to Kuwait City.

Authors: Almomany, Abedalmuhdi Eedi, Eedi Sutcu, Muhammed

Source: Frontiers in Robotics & AI; 2025, p1-13, 13p

Subject Terms: REINFORCEMENT learning, TRAFFIC congestion, SMART cities, PROGRAMMABLE logic devices, PUBLIC transit, ENVIRONMENTAL health, TRAFFIC engineering, CITIES & towns

Geographic Terms: KUWAIT (Kuwait)

Transformer Driven Multi-Agent Reinforcement Learning Framework for Integrated Waste Classification Forecasting and Adaptive Routing.

Authors: Patel, Ritesh Igamberdiyev, Asqar Kimsanovich Waiker, Vinod et al.

Source: International Journal of Advanced Computer Science & Applications; Nov2025, Vol. 16 Issue 11, p743-755, 13p

A hierarchical reinforcement learning approach for real-time berth allocation and quay crane scheduling.

Authors: Jo, Seongbae Moon, Ilkyeong

Source: International Journal of Production Research; Dec2025, Vol. 63 Issue 24, p10027-10052, 26p

Strategy for maximizing space utilization in smart libraries based on reinforcement learning.

Authors: Dai, Ying

Source: Scientific Reports; 11/12/2025, Vol. 15 Issue 1, p1-22, 22p

Subject Terms: REINFORCEMENT learning, RESOURCE allocation, SATISFACTION, INTERNET of things, SPECIAL libraries

AIR QUALITY PREDICTION AND ANALYSIS USING EMBEDDED SENSORS AND MACHINE LEARNING.

Authors: VARDHAN, YADDANAPUDI GURU MEERA, SHAIK NAGUL AJITH, SHAIK et al.

Source: i-Manager's Journal on Computer Science; Jun2025, Vol. 13 Issue 1, p10-23, 14p

Subject Terms: MACHINE learning, AIR quality monitoring, GAS detectors, AIR quality, RANDOM forest algorithms

Heuristic-assisted deep learning for integrated scheduling of multiple equipment in automated container terminals.

Authors: Roi, Ho Van You, Sam-Sang Kim, Hwan-Seong et al.

Source: Maritime Economics & Logistics; Dec2025, Vol. 27 Issue 4, p786-818, 33p

Machine Learning Algorithm-Based Prediction Model and Software Implementation for Strength Efficiency of Cemented Tailings Fills.

Authors: Cao, Hui Wang, Aiai Yilmaz, Erol et al.

Source: Minerals (2075-163X); Apr2025, Vol. 15 Issue 4, p405, 19p

Subject Terms: MACHINE learning, SOFT computing, ARTIFICIAL intelligence, DATABASES, APPLICATION software

EcoMRL: Deep reinforcement learning-based traffic signal control for urban air quality.

Authors: Jung, Jaeeun Kim, Inhi Yoon, Jinwon

Source: International Journal of Sustainable Transportation; 2025, Vol. 19 Issue 8, p720-729, 10p

Subject Terms: GREENHOUSE gas mitigation, GREENHOUSE gases, SUSTAINABILITY, TRAFFIC signal control systems, CARBON dioxide mitigation, ENVIRONMENTAL quality, REINFORCEMENT learning, TRAFFIC flow