Letteratura scientifica selezionata sul tema "Testing Machine Company"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Consulta la lista di attuali articoli, libri, tesi, atti di convegni e altre fonti scientifiche attinenti al tema "Testing Machine Company".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Articoli di riviste sul tema "Testing Machine Company"
Sibarani, Prince, Tanika D. Sofianti e Aditya Tirta Pratama. "Improving the Overall Equipment Effectiveness (OEE) of Drum Testing Machine in Laboratory of Tire Manufacturing Using FMEA and PFMEA". Proceedings of The Conference on Management and Engineering in Industry 3, n. 3 (4 agosto 2021): 56–61. http://dx.doi.org/10.33555/cmei.v3i3.84.
Testo completoC. M. Nalayani, Thanga Akilan .V, Hariharan .S, SaranArulnathan e Venkatanathan .S. "Placement Analysis for Students using Machine Learning". September 2023 5, n. 3 (settembre 2023): 223–37. http://dx.doi.org/10.36548/jitdw.2023.3.001.
Testo completoMustika, Nadya Intan, Bagus Nenda e Dona Ramadhan. "Machine Learning Algorithms in Fraud Detection: Case Study on Retail Consumer Financing Company". Asia Pacific Fraud Journal 6, n. 2 (30 dicembre 2021): 213. http://dx.doi.org/10.21532/apfjournal.v6i2.216.
Testo completoPorter, S. J., J. P. Chadwick, M. G. Owen e S. J. Page. "Evaluation of seven ultrasonic machines for estimating carcase composition in live bulls". Proceedings of the British Society of Animal Production (1972) 1988 (marzo 1988): 46. http://dx.doi.org/10.1017/s0308229600016846.
Testo completoCamille Merlin S. Tan e Lawrence Y. Materum. "Cleanroom Dashboard System for Time-Reduction Checking of Disk Tester Availability". Journal of Advanced Research in Applied Sciences and Engineering Technology 43, n. 2 (17 aprile 2024): 237–57. http://dx.doi.org/10.37934/araset.43.2.237257.
Testo completoSutrisno, Niantoro, Rizka Faradila, Rizka Faradila, Edison P. Sirait e Edison P. Sirait. "PENGARUH KAPASITAS MESIN DAN JUMLAH PERSEDIAAN BAHAN BAKU TERHADAP VOLUME PRODUKSI". Jurnal Akuntansi dan Bisnis 10, n. 01 (25 giugno 2024): 15. http://dx.doi.org/10.47686/jab.v10i01.680.
Testo completoQu, Ju Bao, e Shu Juan Wang. "Intelligent Quality Control System Based on Machine Vision of Multi-Line". Applied Mechanics and Materials 513-517 (febbraio 2014): 1192–96. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1192.
Testo completoSiti Nur Syamimi Mat Zain, Nor Azuana Ramli e Rose Adzreen Adnan. "CUSTOMER SENTIMENT ANALYSIS THROUGH SOCIAL MEDIA FEEDBACK: A CASE STUDY ON TELECOMMUNICATION COMPANY". International Journal of Humanities Technology and Civilization 7, n. 2 (14 dicembre 2022): 54–61. http://dx.doi.org/10.15282/ijhtc.v7i2.8739.
Testo completoSrisattayakul, Parinya, Charnnarong Saikaew, Anurat Wisitsoraat e Naphatara Intanon. "Influence of MoN Sputtering Coating on Wear Resistance of a Fishing Net-Weaving Machine Component". Advanced Materials Research 1016 (agosto 2014): 80–84. http://dx.doi.org/10.4028/www.scientific.net/amr.1016.80.
Testo completoWeick, S., M. Grosse e M. Steinbrueck. "The INCHAMEL facility – a new device for in-situ neutron investigations under defined temperatures with applicable mechanical load". Journal of Physics: Conference Series 2605, n. 1 (1 settembre 2023): 012035. http://dx.doi.org/10.1088/1742-6596/2605/1/012035.
Testo completoTesi sul tema "Testing Machine Company"
Olivier, Louis Petrus. "Psychomotor ability and learning potential as predictors of driver and machine operator performance in a road construction company". Diss., 2015. http://hdl.handle.net/10500/19687.
Testo completoIndustrial and Organisational Psychology
M.A. (Industrial and Organisational Psychology)
Capitoli di libri sul tema "Testing Machine Company"
Abaei, Golnoush, e Ali Selamat. "Important Issues in Software Fault Prediction". In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 510–39. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6026-7.ch023.
Testo completo"Front Matter". In Pendulum Impact Machines: Procedures and Specimens for Verification, FM1—FM10. ASTM International100 Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959, 1995. http://dx.doi.org/10.1520/stp14652s.
Testo completoAnand, Mansimar, Irtibat Shaukat, Harnoor Kaler, Jai Narula e Prashant Singh Rana. "Hybrid Model for the Customer Churn Prediction". In SCRS Proceedings of International Conference of Undergraduate Students, 85–94. Soft Computing Research Society, 2023. http://dx.doi.org/10.52458/978-81-95502-01-1-9.
Testo completoKanatani, Kenichi. "Statistical Analysis of Geometric Computation, 2". In Geometric Computation for Machine Vision, 318–63. Oxford University PressOxford, 1993. http://dx.doi.org/10.1093/oso/9780198563853.003.0010.
Testo completoZhang, Xiang. "Financial Data Anomaly Recognition Model Based on Improved Support Vector Machine". In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde231272.
Testo completoIwata, Kazunori, Toyoshiro Nakashima, Yoshiyuki Anan e Naohiro Ishii. "Machine Learning Classification to Effort Estimation for Embedded Software Development Projects". In Research Anthology on Agile Software, Software Development, and Testing, 1652–65. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3702-5.ch078.
Testo completoPai, Srinivasa P., e Nagabhushana T. N. "Tool Condition Monitoring Using Artificial Neural Network Models". In Handbook of Research on Emerging Trends and Applications of Machine Learning, 550–76. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9643-1.ch026.
Testo completoPai, Srinivasa P., e Nagabhushana T. N. "Tool Condition Monitoring Using Artificial Neural Network Models". In Research Anthology on Artificial Neural Network Applications, 400–426. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2408-7.ch019.
Testo completoDeo, Ravinesh C., Sujan Ghimire, Nathan J. Downs e Nawin Raj. "Optimization of Windspeed Prediction Using an Artificial Neural Network Compared With a Genetic Programming Model". In Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, 116–47. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8048-6.ch007.
Testo completoDeo, Ravinesh C., Sujan Ghimire, Nathan J. Downs e Nawin Raj. "Optimization of Windspeed Prediction Using an Artificial Neural Network Compared With a Genetic Programming Model". In Advances in Computational Intelligence and Robotics, 328–59. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4766-2.ch015.
Testo completoAtti di convegni sul tema "Testing Machine Company"
Abbas, Raafat, Aaron Simon, Doug Dunbar, Rodrigo Serrano, Andrew Creegan e Ernie Prochaska. "Automatic Driller Optimization Application Using Machine Learning and Artificial Intelligence Drives Consistent Performance in an Operator’s West Texas Drilling Program". In SPE Annual Technical Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/215087-ms.
Testo completoValdiero, Antonio C., Ronei O. Ziech, Mauricio S. Pinto, Ivan J. Mantovani e Luiz A. Rasia. "Development and Construction of an Instrumentalized Workbench With a Hydraulic Motor for Farm Machine Testing". In 9th FPNI Ph.D. Symposium on Fluid Power. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fpni2016-1552.
Testo completoGerchman, Mark Craig. "The Single Point Diamond Turning (SPDT) Of Optical Surfaces For Visible Wavelength Applications". In Optical Fabrication and Testing. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oft.1990.jtuc3.
Testo completoAl Radhi, Mohammed, Fernando Angel Bermudez, Wael Al Madhoun, Khaled Al Blooshi, Noor Nasser Al Nahhas e Mohammed Nazeih Shono. "Unlocking the Potential of Electrical Submersible Pumps: the Successful Testing and Deployment of a Real-Time Artificially Intelligent System, for Failure Prediction, Run Life Extension, and Production Optimization". In SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry. SPE, 2021. http://dx.doi.org/10.2118/208647-ms.
Testo completoBermudez, Fernando, Noor Al Nahhas, Hafsa Yazdani, Michael LeTan e Mohammed Shono. "Unlocking the Potential of Electrical Submersible Pumps: The Successful Testing and Deployment of a Real-Time Artificially Intelligent System, for Failure Prediction, Run Life Extension, and Production Optimization". In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207839-ms.
Testo completoMiller, Richard J., e Reginald D. Conner. "Field Validation Testing of New HEAT™ Steam Turbine". In ASME 2006 Power Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/power2006-88202.
Testo completoBlack, J. T. "Lean Manufacturing Cell Design". In ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-0773.
Testo completoKasim, Fadzlin Hasani, Nurul Nadhira Idris, Saeed Majidaie, Budi Priyatna Kantaatmadja, Numair Ahmed Siddiqui, Akhmal Sidek e Nur Aqilah Nabila Yahaya. "The Utilization of Machine Learning Method to Predict Hydrocarbon Flow Rate for a Better Reservoir Potential Evaluation". In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22025-ms.
Testo completoLiao, Leo, e Ang Li. "An Intelligent System to Automate the Inquery in Logistics Industry using AI and Machine Learning". In 8th International Conference on Natural Language Processing (NATP 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120109.
Testo completoAnderson, Joel, Nathan Switzner, Jeffrey Kornuta e Peter Veloo. "Incorporating Measurement Uncertainty Into Machine Learning-Based Grade Predictions". In 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87347.
Testo completo