Journal articles on the topic 'MACHINE LEARNING TOOL'
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E, Prabhakar, Suresh Kumar V.S, Nandagopal S, and Dhivyaa C.R. "Mining Better Advertisement Tool for Government Schemes Using Machine Learning." International Journal of Psychosocial Rehabilitation 23, no. 4 (December 20, 2019): 1122–35. http://dx.doi.org/10.37200/ijpr/v23i4/pr190439.
Full textMonostori, László. "Learning procedures in machine tool monitoring." Computers in Industry 7, no. 1 (February 1986): 53–64. http://dx.doi.org/10.1016/0166-3615(86)90009-6.
Full textKokar, Mieczyslaw M., Jerzy Letkowski, and Thomas F. Callahan. "Learning to monitor a machine tool." Journal of Intelligent & Robotic Systems 12, no. 2 (June 1995): 103–25. http://dx.doi.org/10.1007/bf01258381.
Full textGittler, Thomas, Stephan Scholze, Alisa Rupenyan, and Konrad Wegener. "Machine Tool Component Health Identification with Unsupervised Learning." Journal of Manufacturing and Materials Processing 4, no. 3 (September 2, 2020): 86. http://dx.doi.org/10.3390/jmmp4030086.
Full textBaltruschat, Marcel, and Paul Czodrowski. "Machine learning meets pKa." F1000Research 9 (February 13, 2020): 113. http://dx.doi.org/10.12688/f1000research.22090.1.
Full textBaltruschat, Marcel, and Paul Czodrowski. "Machine learning meets pKa." F1000Research 9 (April 27, 2020): 113. http://dx.doi.org/10.12688/f1000research.22090.2.
Full textFinlay, Janet. "Machine learning: A tool to support usability?" Applied Artificial Intelligence 11, no. 7-8 (October 1997): 633–51. http://dx.doi.org/10.1080/088395197117966.
Full textCaté, Antoine, Lorenzo Perozzi, Erwan Gloaguen, and Martin Blouin. "Machine learning as a tool for geologists." Leading Edge 36, no. 3 (March 2017): 215–19. http://dx.doi.org/10.1190/tle36030215.1.
Full textWhitehall, B. L., S. C. Y. Lu, and R. E. Stepp. "CAQ: A machine learning tool for engineering." Artificial Intelligence in Engineering 5, no. 4 (October 1990): 189–98. http://dx.doi.org/10.1016/0954-1810(90)90020-5.
Full textWang, Zhi‐Lei, Toshio Ogawa, and Yoshitaka Adachi. "A Machine Learning Tool for Materials Informatics." Advanced Theory and Simulations 3, no. 1 (November 18, 2019): 1900177. http://dx.doi.org/10.1002/adts.201900177.
Full textS, Ganeshkumar, Deepika T, and Anandakumar Haldorai. "A Supervised Machine Learning Model for Tool Condition Monitoring in Smart Manufacturing." Defence Science Journal 72, no. 5 (November 1, 2022): 712–20. http://dx.doi.org/10.14429/dsj.72.17533.
Full textSchneckenburger, Max, Luis Garcia, and Rainer Börret. "Machine learning robot polishing cell." EPJ Web of Conferences 215 (2019): 05002. http://dx.doi.org/10.1051/epjconf/201921505002.
Full textPagadipala srikanth, Pulimamidi sai teja, Borigam Lakshmi prasad, and Veduruvada pavan kalyan. "A comprehensive review of machine learning techniques in computer numerical controlled machines." International Journal of Science and Research Archive 9, no. 1 (June 30, 2023): 627–37. http://dx.doi.org/10.30574/ijsra.2023.9.1.0491.
Full textWu, Q., E. Liu, Y. H. He, and X. Tang. "Application Research on Extreme Learning Machine in Rapid Detection of Tool Wear in Machine Tools." Journal of Physics: Conference Series 2025, no. 1 (September 1, 2021): 012091. http://dx.doi.org/10.1088/1742-6596/2025/1/012091.
Full textGuile, David. "Machine learning – A new kind of cultural tool? A “recontextualisation” perspective on machine learning + interprofessional learning." Learning, Culture and Social Interaction 42 (October 2023): 100738. http://dx.doi.org/10.1016/j.lcsi.2023.100738.
Full textJ., Praveen Gujjar, and Naveen Kumar V. "Google Colaboratory : Tool for Deep Learning and Machine Learning Applications." Indian Journal of Computer Science 6, no. 3-4 (August 31, 2021): 23. http://dx.doi.org/10.17010/ijcs/2021/v6/i3-4/165408.
Full textMahardika, Rizka. "THE USE OF TRANSLATION TOOL IN EFL LEARNING: DO MACHINE TRANSLATION GIVE POSITIVE IMPACT IN LANGUAGE LEARNING?" Pedagogy : Journal of English Language Teaching 5, no. 1 (July 30, 2017): 49. http://dx.doi.org/10.32332/pedagogy.v5i1.755.
Full textSchad, Jörg, Rajiv Sambasivan, and Christopher Woodward. "Arangopipe, a tool for machine learning meta-data management." Data Science 4, no. 2 (October 13, 2021): 85–99. http://dx.doi.org/10.3233/ds-210034.
Full textDouglas, Michael R. "Machine learning as a tool in theoretical science." Nature Reviews Physics 4, no. 3 (February 14, 2022): 145–46. http://dx.doi.org/10.1038/s42254-022-00431-9.
Full textZhao, Weixiang, Abhinav Bhushan, Anthony Santamaria, Melinda Simon, and Cristina Davis. "Machine Learning: A Crucial Tool for Sensor Design." Algorithms 1, no. 2 (December 3, 2008): 130–52. http://dx.doi.org/10.3390/a1020130.
Full textChandrinos, Spyros K., Georgios Sakkas, and Nikos D. Lagaros. "AIRMS: A risk management tool using machine learning." Expert Systems with Applications 105 (September 2018): 34–48. http://dx.doi.org/10.1016/j.eswa.2018.03.044.
Full textHarvey, Neal, and Reid Porter. "User-driven sampling strategies in image exploitation." Information Visualization 15, no. 1 (November 13, 2014): 64–74. http://dx.doi.org/10.1177/1473871614557659.
Full textWaghmode, Prof R. T. "Hard Disk Failure Prediction Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 4459–64. http://dx.doi.org/10.22214/ijraset.2023.52604.
Full textYan, Wei, Chenxun Lu, Ying Liu, Xumei Zhang, and Hua Zhang. "An Energy Data-Driven Approach for Operating Status Recognition of Machine Tools Based on Deep Learning." Sensors 22, no. 17 (September 1, 2022): 6628. http://dx.doi.org/10.3390/s22176628.
Full textJany Shabu, S. L., Rohan Loganathan Reddy, V. Maria Anu, L. Mary Gladence, and J. Refonaa. "Machine Learning Based Malicious Android Application Detection." Journal of Computational and Theoretical Nanoscience 17, no. 8 (August 1, 2020): 3468–72. http://dx.doi.org/10.1166/jctn.2020.9212.
Full textTyler, Neil. "Machine Learning to Improve Software Quality." New Electronics 53, no. 10 (May 26, 2020): 8. http://dx.doi.org/10.12968/s0047-9624(22)61253-7.
Full textSu, Moting, Zongyi Zhang, Ye Zhu, Donglan Zha, and Wenying Wen. "Data Driven Natural Gas Spot Price Prediction Models Using Machine Learning Methods." Energies 12, no. 9 (May 3, 2019): 1680. http://dx.doi.org/10.3390/en12091680.
Full textYousif, Thanaa Hasan, Nahla Ali Tomah, and Marwa Jaleel Mohsin. "Machine learning-based diagnosis of eye-diseases." Indonesian Journal of Electrical Engineering and Computer Science 32, no. 2 (November 1, 2023): 787. http://dx.doi.org/10.11591/ijeecs.v32.i2.pp787-795.
Full textWei, Chen Lung, Hsin Yu Cheng, Chi Yuang Yu, and Yung Chou Kao. "Development of a Virtual Milling Machining Center Simulation System with Switchable Modular Components." Applied Mechanics and Materials 479-480 (December 2013): 343–47. http://dx.doi.org/10.4028/www.scientific.net/amm.479-480.343.
Full textZarouq Eshkanti, Mohammed A. El, and S. C. Ng. "Backdoor Detection Using Machine Learning." Journal of Engineering & Technological Advances 2, no. 1 (2017): 2–13. http://dx.doi.org/10.35934/segi.v2i1.2.
Full textChiu, Yu-Cheng, Po-Hsun Wang, and Yuh-Chung Hu. "The Thermal Error Estimation of the Machine Tool Spindle Based on Machine Learning." Machines 9, no. 9 (August 30, 2021): 184. http://dx.doi.org/10.3390/machines9090184.
Full textMohammadi, Yousef, Mohammad Saeb, Alexander Penlidis, Esmaiel Jabbari, Florian J. Stadler, Philippe Zinck, and Krzysztof Matyjaszewski. "Intelligent Machine Learning: Tailor-Making Macromolecules." Polymers 11, no. 4 (April 1, 2019): 579. http://dx.doi.org/10.3390/polym11040579.
Full textKoteluk, Oliwia, Adrian Wartecki, Sylwia Mazurek, Iga Kołodziejczak, and Andrzej Mackiewicz. "How Do Machines Learn? Artificial Intelligence as a New Era in Medicine." Journal of Personalized Medicine 11, no. 1 (January 7, 2021): 32. http://dx.doi.org/10.3390/jpm11010032.
Full textKoteluk, Oliwia, Adrian Wartecki, Sylwia Mazurek, Iga Kołodziejczak, and Andrzej Mackiewicz. "How Do Machines Learn? Artificial Intelligence as a New Era in Medicine." Journal of Personalized Medicine 11, no. 1 (January 7, 2021): 32. http://dx.doi.org/10.3390/jpm11010032.
Full textvan de Lande, Lara S., Athanasios Papaioannou, and David J. Dunaway. "Geometric morphometrics aided by machine learning in craniofacial surgery." Journal of Orthodontics 46, no. 1_suppl (April 8, 2019): 81–83. http://dx.doi.org/10.1177/1465312519840030.
Full textDekermanjian, Jonathan, Wladimir Labeikovsky, Debashis Ghosh, and Katerina Kechris. "MSCAT: A Machine Learning Assisted Catalog of Metabolomics Software Tools." Metabolites 11, no. 10 (October 2, 2021): 678. http://dx.doi.org/10.3390/metabo11100678.
Full textWoo, Myung, Brooke Alhanti, Sam Lusk, Felicia Dunston, Stephen Blackwelder, Kay S. Lytle, Benjamin A. Goldstein, and Armando Bedoya. "Evaluation of ML-Based Clinical Decision Support Tool to Replace an Existing Tool in an Academic Health System: Lessons Learned." Journal of Personalized Medicine 10, no. 3 (August 27, 2020): 104. http://dx.doi.org/10.3390/jpm10030104.
Full textSobha Rani, Naguri, and Naguri Divya Sruthi. "Automatic Portrait Image Cropping using Machine Learning Models." International Journal of Scientific Methods in Engineering and Management 01, no. 01 (2023): 73–86. http://dx.doi.org/10.58599/ijsmem.2023.1107.
Full textFertig, Alexander, Lukas Grau, Marius Altmannsberger, and Matthias Weigold. "TOOL CONDITION MONITORING AND TOOL DEFECT DETECTION FOR END MILLS BASED ON HIGH-FREQUENCY MACHINE TOOL DATA." MM Science Journal 2021, no. 5 (November 3, 2021): 5160–66. http://dx.doi.org/10.17973/mmsj.2021_11_2021174.
Full textMamledesai, Harshavardhan, Mario A. Soriano, and Rafiq Ahmad. "A Qualitative Tool Condition Monitoring Framework Using Convolution Neural Network and Transfer Learning." Applied Sciences 10, no. 20 (October 19, 2020): 7298. http://dx.doi.org/10.3390/app10207298.
Full textAsif, Muhammad, Hang Shen, Chunlin Zhou, Yuandong Guo, Yibo Yuan, Pu Shao, Lan Xie, and Muhammad Shoaib Bhutta. "Recent Trends, Developments, and Emerging Technologies towards Sustainable Intelligent Machining: A Critical Review, Perspectives and Future Directions." Sustainability 15, no. 10 (May 19, 2023): 8298. http://dx.doi.org/10.3390/su15108298.
Full textShin, Seung-Jun, Young-Min Kim, and Prita Meilanitasari. "A Holonic-Based Self-Learning Mechanism for Energy-Predictive Planning in Machining Processes." Processes 7, no. 10 (October 14, 2019): 739. http://dx.doi.org/10.3390/pr7100739.
Full textHanuschkin, Alexander, Jürgen Schorr, Christian Krüger, and Steven Peters. "Machine Learning as an Analysis Tool in Engine Research." ATZelectronics worldwide 16, no. 1-2 (January 2021): 44–47. http://dx.doi.org/10.1007/s38314-020-0574-7.
Full textKUTSENOGIY, P. K., V. K. KALICHKIN, A. L. PAKUL, and S. P. KUTSENOGIY. "MACHINE LEARNING AS A TOOL FOR CROP YIELD FORECAST." Rossiiskaia selskokhoziaistvennaia nauka, no. 1 (2021): 72–75. http://dx.doi.org/10.31857/s2500262721010178.
Full textMU, Dianfang, Xianli LIU, Caixu YUE, Qiang LIU, Zhengyan BAI, Steven Y. LIANG, and Yunpeng DING. "On-line tool wear monitoring based on machine learning." Journal of Advanced Manufacturing Science and Technology 1, no. 2 (2021): 2021002. http://dx.doi.org/10.51393/j.jamst.2021002.
Full textAnderson, Don D. "Machine Translation As a Tool in Second Language Learning." CALICO Journal 13, no. 1 (January 14, 2013): 68–97. http://dx.doi.org/10.1558/cj.v13i1.68-97.
Full textZhou, Bo, Tongtong Tian, Jibin Zhao, and Dianhai Liu. "Tool-path continuity determination based on machine learning method." International Journal of Advanced Manufacturing Technology 119, no. 1-2 (November 1, 2021): 403–20. http://dx.doi.org/10.1007/s00170-021-08156-2.
Full textCockshott, Anne. "Reservoir computing, a machine learning tool for robust forecasting." Scilight 2021, no. 51 (December 17, 2021): 511107. http://dx.doi.org/10.1063/10.0009049.
Full textKutsenogiy, P. K., V. K. Kalichkin, A. L. Pakul, and S. P. Kutsenogiy. "Machine Learning as a Tool for Crop Yield Prediction." Russian Agricultural Sciences 47, no. 2 (March 2021): 188–92. http://dx.doi.org/10.3103/s1068367421020117.
Full textSAKUMA, Taishi, Kotaro YAMADA, Toshiki HIROGAKI, Eiichi AOYAMA, and Hiroyuki KODAMA. "Data mining from tool catalog introducing machine learning method." Proceedings of The Manufacturing & Machine Tool Conference 2018.12 (2018): A20. http://dx.doi.org/10.1299/jsmemmt.2018.12.a20.
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