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Publication search results
found 212 matches
- 2024
- Andreas Geiger:
Enhancing supply chain coordination: A comparative analysis of clustering techniques for the Production Routing Problem. Comput. Ind. Eng. 196: 110455 (2024) - Nick Brown, Gordon Gibb, Evgenij Belikov, Rupert Nash:
Predicting accurate batch queue wait times on production supercomputers by combining machine learning techniques. Concurr. Comput. Pract. Exp. 36(15) (2024) - Marta Chiesi, Luca Fibbi, Silvana Vanucci, Lorenzo Bottai, Gherardo Chirici, Fabio Maselli:
Simulating the Net Primary Production of Even-Aged Forests by the Use of Remote Sensing and Ecosystem Modelling Techniques. Remote. Sens. 16(12): 2155 (2024) - Romeo Bandinelli, Virginia Fani:
Combined Use Of AI Techniques And Simulation To Support Production Scheduling: Evidence From Empirical Research. ECMS 2024: 34-40 - 2023
- Remya Kommadath, Debasis Maharana, Prakash Kotecha:
An effective strategy for solving single and multi-unit production planning models with unique process constraints using metaheuristic techniques. Expert Syst. Appl. 224: 119813 (2023) - Keiichi Nakamoto, Keigo Takasugi:
Editorial: Application of Artificial Intelligence Techniques in Production Engineering. Int. J. Autom. Technol. 17(2): 91 (2023) - Karrar A. Abbas, Amir Gharavi, Noor A. Hindi, Mohamed Hassan, Hala Y. Alhosin, Jebraeel Gholinezhad, Hesam Ghoochaninejad, Hossein Barati, James Buick, Paria Yousefi, Reham Alasmar, Salam Al-Saegh:
Unsupervised machine learning technique for classifying production zones in unconventional reservoirs. Int. J. Intell. Networks 4: 29-37 (2023) - Sachin Kumar, T. Gopi, N. Harikeerthana, Munish Kumar Gupta, Vidit Gaur, Grzegorz Królczyk, ChuanSong Wu:
Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control. J. Intell. Manuf. 34(1): 21-55 (2023) - Francesco di Rienzo, Alessandro Madonna, Nicola Carbonaro, Alessandro Tognetti, Antonio Virdis, Carlo Vallati:
Short-Range Localization via Bluetooth Using Machine Learning Techniques for Industrial Production Monitoring. J. Sens. Actuator Networks 12(5): 75 (2023) - Md Sadikur Rahman, Amalesh Kumar Manna, Ali Akbar Shaikh, Ioannis Konstantaras, Asoke Kumar Bhunia:
Optimal decision making, using interval uncertainty techniques, of a production-inventory model under warranty-linked demand and carbon tax regulations. Soft Comput. 27(6): 2903-2920 (2023) - Alireza Riazi, Shideh Saraeian:
Sustainable production using a hybrid IPSO optimized SVM-based technique: Fashion industry. Sustain. Comput. Informatics Syst. 37: 100838 (2023) - Juan F. Duran, Luis I. Minchala:
A Comparative Study on Time Series Prediction of Photovoltaic-Power Production Through Classic Statistical Techniques and Short-Term Memory Networks. CoDIT 2023: 1512-1517 - Marcel Schumacher, Ralf Buschermöhle, Liane Haak, Max Höfinghoff, Arne Seipolt, Goy-Hinrich Korn:
Enhancing Digital Twins for Production through Process Mining Techniques: A Literature Review. GI-Jahrestagung 2023: 1399-1406 - Siegfried Foessel, Thomas Richter:
Coding Techniques in JPEG XS for efficient Video Production and Contribution. MHV 2023: 72-77 - Shubham Sharma, Hafiyyan Sayyid Fadhlillah, Antonio Manuel Gutiérrez-Fernández, Rick Rabiser, Alois Zoitl:
Modularization Technique to Support Software Variability in Cyber-Physical Production Systems. VaMoS 2023: 71-76 - 2022
- Hüseyin Coskun:
Endüstriyel karo üretiminde kalite kontrol sürecinin yapay görme ve derin öğrenme teknikleri ile dijitalleştirilmesi (Digitalizing the quality control process in industrial tile production with machine vision and deep learning techniques). Süleyman Demirel University, Turkey, 2022 - Janneth Chicaiza, Stephany D. Villota, Paola Gabriela Vinueza Naranjo, Rubén Rumipamba-Zambrano:
Contribution of Deep-Learning Techniques Toward Fighting COVID-19: A Bibliometric Analysis of Scholarly Production During 2020. IEEE Access 10: 33281-33300 (2022) - Hamzeh Alimohammadi, Shengnan Nancy Chen:
Performance evaluation of outlier detection techniques in production timeseries: A systematic review and meta-analysis. Expert Syst. Appl. 191: 116371 (2022) - Zahid Amin Malik, Rakesh Kumar, Govind Pathak, Haridas Roy:
Application of goal programming in the textile apparel industry to resolve production planning problems a meta-goal programming technique using weights. Oper. Res. Decis. 32(2) (2022) - Hamzeh Asadi, Tom O'Mahony, Julie Lambert, Kenneth N. Brown:
Rapid Quantification of NaDCC for Water Purification Tablets in Commercial Production Using ATR-FTIR Spectroscopy Based on Machine Learning Techniques. AICS 2022: 106-120 - Pablo Guzman, Jocelyn Monsalve, Daniel Morillo-Torres, Gonzalo Aguila, Gustavo Gatica:
Projections and Predictive Analysis of Tenebrio Molitor Production Using Simulation Technique. ARTIIS (1) 2022: 31-43 - Ambre Dupuis, Camélia Dadouchi, Bruno Agard, Robert Pellerin:
Forecasting Future Product Sequences To Be Processed In Tire Production Using Deep Learning Technique. CENTERIS/ProjMAN/HCist 2022: 354-361 - Olivia Villamagna, Vincent G. Duffy:
An Industrial Ergonomic Analysis of Potential Techniques to Prevent Repetitive Stress Injuries in Employees Working on Production Assembly Lines. HCI (47) 2022: 373-384 - Dilip Kumar Gayen, Syed Hameedur Rahman Zaini:
Future of Factory Through the Techniques of Smart Manufacturing, Process and Business Excellence for World Class Production. IC3I 2022: 422-427 - Kohinoor Haque, Md. Khairul Islam, Abdus Sattar:
Wheat Production Forecasting in Bangladesh Using Deep Learning Techniques. ICCCNT 2022: 1-7 - Nantachaporn Rueangsuwan, Nathapat Jariyapongsgul, Chien-Chang Chen, Cheng-Shian Lin, Somchoke Ruengittinun, Chalothon Chootong:
Automatic Anomaly Mark Detection on Fabric Production Video by Artificial Intelligence Techniques. ICKII 2022: 81-84 - Yu Zhao:
Nonparametric Estimation of the Production Frontier Using a Data-Fitting Technique. MMBD 2022: 9-20 - Moran Haham:
Evaluation Framework for Cold-Start Techniques in Large-Scale Production Settings. RecSys 2022: 476-478 - Evangelos Karampotsis, Konstantinos Boulas, Georgios D. Dounias, Chrissoleon T. Papadopoulos:
Use of Intelligent Techniques for Throughput Estimation of Unreliable two-machine Production Lines with Random Processing Times: Preliminary Results. SETN 2022: 35:1-35:10 - Jiratsaya Panasri, Nara Samattapapong, Sathitthep Sangthong:
Production Scheduling for Parallel Machines Using Simulation Techniques: Case Study of Plastic Packaging Factory. WSC 2022: 1876-1887
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