Výsledky vyhľadávania - (processes—compilers OR (process—computers OR process—computer)) general terms algorithms*

Machine learning in supply chain management: systematic literature review and future research agenda.

Autori: Vlachos, Ilias Reddy, Pulagam Gautam

Zdroj: International Journal of Production Research; Aug2025, Vol. 63 Issue 16, p5987-6016, 30p

Predmety: MACHINE learning, SUPPLY chain management, SUPPLY chain disruptions, ARTIFICIAL intelligence, DEMAND forecasting

Automated analysis and textual summarization of time-varying references in advanced greenhouse climate control.

Autori: Naagarajan, Ramesh Arvind Sathyanarayanan, Kiran Kumar Bauer, Nadja a ďalší

Zdroj: Frontiers in Agronomy; 2025, p1-18, 18p

Predmety: CLIMATE in greenhouses, PREDICTIVE control systems, CHANGE-point problems, TEXT summarization, AUTOMATIC summarization, SUSTAINABLE agriculture, ALGORITHMS

Integrating digital twin and blockchain for responsive working capital management in supply chains facing financial disruptions.

Autori: Badakhshan, Ehsan Ivanov, Dmitry

Zdroj: International Journal of Production Research; Nov2025, Vol. 63 Issue 21, p7800-7834, 35p

Predmety: WORKING capital, SUPPLY chains, MARKET volatility, INFORMATION sharing, BLOCKCHAINS, DIGITAL twin

Study on Energy Efficiency and Maintenance Optimization of Run-Out Table in Hot Rolling Mills Using Long Short-Term Memory-Autoencoders.

Autori: Yun, Ju-Woong Choi, So-Won Lee, Eul-Bum

Zdroj: Energies (19961073); May2025, Vol. 18 Issue 9, p2295, 40p

Predmety: LONG short-term memory, INDUSTRIAL productivity, ROLLING-mills, HOT rolling, ARTIFICIAL intelligence

Research on intra-layer partition adaptive slicing algorithm for fused deposition modeling.

Autori: Shen, Sijia He, Ketai Yu, Biqiang a ďalší

Zdroj: Rapid Prototyping Journal; 2025, Vol. 31 Issue 11, p110-130, 21p

Predmety: SURFACE finishing, THREE-dimensional printing, IMPACT strength, BOND strengths, ALGORITHMS, FUSED deposition modeling

Computational Optimization of Preventive Maintenance Schedules in Repairable Mechanical Systems Using NSGA-II.

Autori: Salehpour, Iman Bavarsad Shahrokhi, Mahmoud

Zdroj: Journal of Computational Applied Mechanics; Oct2025, Vol. 56 Issue 4, p882-911, 30p

Predmety: MAINTENANCE costs, SYSTEMS availability, RELIABILITY in engineering, CATHODIC protection, MULTI-objective optimization, COMPUTERIZED maintenance management systems, OPTIMIZATION algorithms, ENGINEERING systems

Unsteady two dimensional flow of non-newtönian fractional Casson fluid for an edge with heated boundaries.

Autori: Nadeem, Sohail Hafeez, Kanwal Alzabut, Jehad a ďalší

Zdroj: Scientific Reports; 11/4/2025, Vol. 15 Issue 1, p1-17, 17p

Predmety: NON-Newtonian fluids, FRACTIONAL calculus, THERMAL properties, ANALYTICAL solutions, MAGNETIC fields, VISCOELASTIC materials, PULSATILE flow, HEAT transfer

Are algorithms always fair? The study on public preferences toward algorithmic decision‐making: A case study from the perspectives of decision scenarios and social roles.

Autori: Wang, Bing Luo, Longxiang Wang, Xiuli

Zdroj: Economics & Politics; Mar2025, Vol. 37 Issue 1, p420-441, 22p

Predmety: FAIRNESS, SOCIAL role, DISCLOSURE, PUBLIC opinion, SOCIAL influence, AUTONOMY (Philosophy), STATISTICAL decision making, DECISION making

Leveraging physics-based optimization and singular value decomposition for enhanced structural damage detection.

Autori: Tran, Hoa Ngoc Nguyen, Quyet Huu Bui, Thanh Tien

Zdroj: Engineering Computations; 2025, Vol. 42 Issue 6, p2156-2178, 23p

Predmety: SINGULAR value decomposition, STRUCTURAL health monitoring, ALGORITHMS, STRUCTURAL analysis (Engineering), BRIDGE design & construction, MECHANICAL efficiency, FINITE element method, OPTIMIZATION algorithms

Solving multi-scenario hybrid flow shop scheduling problem based on an improved probe machine model.

Autori: Tian, Xiang Kong, Yang Liu, Xiyu

Zdroj: PLoS ONE; 9/3/2025, Vol. 20 Issue 9, p1-39, 39p

Predmety: FLOW shop scheduling, COMBINATORIAL optimization, DATA libraries, MANUFACTURING industries, SCHEDULING, BENCHMARK problems (Computer science), CONSTRAINT programming

A model of knowledge chain integration for complex product R&D projects based on DSM and TCPN.

Autori: Tian, Shuo Liu, Yike Chen, Yong a ďalší

Zdroj: Systems Research & Behavioral Science; Jul/Aug2025, Vol. 42 Issue 4, p1195-1209, 15p

Predmety: INTELLECT, SCALE analysis (Psychology), STRUCTURAL models, INTERPROFESSIONAL relations, DIFFUSION of innovations, CLUSTERING algorithms, CLUSTER analysis (Statistics), RESEARCH funding, ARTIFICIAL intelligence, NEW product development, SYSTEMS theory, CLASSIFICATION of mental disorders, DESCRIPTIVE statistics, MATHEMATICAL models, THEORY, CASE studies, DATA analysis software, TIME

Deep learning-based image segmentation for defect detection in additive manufacturing: an overview.

Autori: Deshpande, Sourabh Venugopal, Vysakh Kumar, Manish a ďalší

Zdroj: International Journal of Advanced Manufacturing Technology; Sep2024, Vol. 134 Issue 5/6, p2081-2105, 25p

Predmety: TRANSFORMER models, IMAGE segmentation, CLOSED loop systems, ALGORITHMS, COMPUTERS

Scheduling of steelmaking-continuous casting process by integrating deep neural networks with mixed integer programming.

Autori: Shin, Woo-Jin Lee, Sang-Wook Lee, Jun-Ho a ďalší

Zdroj: International Journal of Production Research; Jun2025, Vol. 63 Issue 11, p4180-4201, 22p

Predmety: ARTIFICIAL neural networks, ARTIFICIAL intelligence, INTEGER programming, FLOW shops, TRAINING of engineers

Increasing productivity by generating optimal cutting patterns in the rolling mill of Shahid Bahonar Copper Industries Corporation.

Autori: Ghafari, Fereshteh Asadi, Yasaman Salajegheh, Ali a ďalší

Zdroj: International Journal of Production Research; Jun2025, Vol. 63 Issue 11, p4086-4113, 28p

Predmety: CUTTING stock problem, SETUP time, COPPER industry, ROLLING-mills, SHEET metal

Enhancing Biomedical Metal 3D Printing with AI and Nanomaterials Integration.

Autori: Liu, Jackie Jeevanandam, Jaison Danquah, Michael K.

Zdroj: Metals (2075-4701); Oct2025, Vol. 15 Issue 10, p1163, 29p

Predmety: ARTIFICIAL intelligence, NANOSTRUCTURED materials, THREE-dimensional printing, MEDICAL sciences, METALS in surgery, MACHINE learning, RAPID prototyping, PERFORMANCE-based design

A novel bi-level multi-objective genetic algorithm for integrated assembly line balancing and part feeding problem.

Autori: Chen, Junhao Jia, Xiaoliang He, Qixuan

Zdroj: International Journal of Production Research; Jan2023, Vol. 61 Issue 2, p580-603, 24p, 15 Diagrams, 8 Charts, 1 Graph

Predmety: ASSEMBLY line balancing, GENETIC algorithms, MATHEMATICAL models, PROBLEM solving

A large-scale group decision-making approach for quality function deployment based on Dempster-Shafer evidence theory and hierarchical clustering algorithm.

Autori: Liu, Zhengmin Feng, Xuan Zhang, Jihao a ďalší

Zdroj: Applied Intelligence; Oct2025, Vol. 55 Issue 15, p1-36, 36p

ESDN: edge computing task scheduling strategy based on dilated convolutional neural network and quasi-newton algorithm.

Autori: Liu, Haoyu Tian, Le Guo, Maozu

Zdroj: Cluster Computing; Jun2025, Vol. 28 Issue 3, p1-22, 22p

Predmety: CONVOLUTIONAL neural networks, OPTIMIZATION algorithms, ARTIFICIAL intelligence, EDGE computing, COMPUTER systems

Modern Systems for Nuclear Fuel Storage and Monitoring: An Analysis of Technological Trends, Challenges, and Future Perspectives.

Autori: Godea, Bogdan-Teodor Gogorici, Ana Iordache, Daniela-Monica a ďalší

Zdroj: Energies (19961073); Sep2025, Vol. 18 Issue 18, p5030, 24p

Predmety: NUCLEAR fuels, SUSTAINABILITY, SYSTEM integration, ELECTRONIC surveillance, STORAGE facilities, TECHNOLOGICAL innovations, RADIOLOGICAL health risk

Application of Discrete Event Simulation in the Analysis of Electricity Consumption in Logistics Processes.

Autori: Pawlak, Szymon Saternus, Mariola Nowacki, Krzysztof

Zdroj: Energies (19961073); Sep2025, Vol. 18 Issue 17, p4580, 18p

Predmety: ELECTRIC power consumption, ENERGY consumption, DISCRETE event simulation, DIGITAL technology, LOGISTICS, SUSTAINABLE development, FORKLIFT trucks, INDUSTRY 4.0