Статті в журналах з теми "DYNAMIC MACHINE LEARNING METHODOLOGY"
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Barr, Joseph R., Eden A. Ellis, Antonio Kassab, Christian L. Redfearn, Narayanan Nani Srinivasan, and Kurtis B. Voris. "Home Price Index: A Machine Learning Methodology." International Journal of Semantic Computing 11, no. 01 (March 2017): 111–33. http://dx.doi.org/10.1142/s1793351x17500015.
Повний текст джерелаPérez Moreno, F., V. F. Gómez Comendador, R. Delgado-Aguilera Jurado, M. Zamarreño Suárez, D. Janisch, and R. M. Arnaldo Valdés. "Dynamic sector characterisation model with the application of machine learning techniques." IOP Conference Series: Materials Science and Engineering 1226, no. 1 (February 1, 2022): 012018. http://dx.doi.org/10.1088/1757-899x/1226/1/012018.
Повний текст джерелаNavarro, Osvaldo, Jones Yudi, Javier Hoffmann, Hector Gerardo Muñoz Hernandez, and Michael Hübner. "A Machine Learning Methodology for Cache Memory Design Based on Dynamic Instructions." ACM Transactions on Embedded Computing Systems 19, no. 2 (March 17, 2020): 1–20. http://dx.doi.org/10.1145/3376920.
Повний текст джерелаPRIORE, PAOLO, DAVID DE LA FUENTE, ALBERTO GOMEZ, and JAVIER PUENTE. "DYNAMIC SCHEDULING OF MANUFACTURING SYSTEMS WITH MACHINE LEARNING." International Journal of Foundations of Computer Science 12, no. 06 (December 2001): 751–62. http://dx.doi.org/10.1142/s0129054101000849.
Повний текст джерелаIskhakov, Fedor, John Rust, and Bertel Schjerning. "Machine learning and structural econometrics: contrasts and synergies." Econometrics Journal 23, no. 3 (August 29, 2020): S81—S124. http://dx.doi.org/10.1093/ectj/utaa019.
Повний текст джерелаKo, Jeong Hoon. "Machining Stability Categorization and Prediction Using Process Model Guided Machine Learning." Metals 12, no. 2 (February 9, 2022): 298. http://dx.doi.org/10.3390/met12020298.
Повний текст джерелаGarcía Plaza, Eustaquio, Pedro Jose Núñez López, Angel Ramon Martín, and E. Beamud. "Virtual Machining Applied to the Teaching of Manufacturing Technology." Materials Science Forum 692 (July 2011): 120–27. http://dx.doi.org/10.4028/www.scientific.net/msf.692.120.
Повний текст джерелаHewawasam, Hasitha, Gayan Kahandawa, and Yousef Ibrahim. "Machine Learning-Based Agoraphilic Navigation Algorithm for Use in Dynamic Environments with a Moving Goal." Machines 11, no. 5 (April 28, 2023): 513. http://dx.doi.org/10.3390/machines11050513.
Повний текст джерелаLu, M., L. Groeneveld, D. Karssenberg, S. Ji, R. Jentink, E. Paree, and E. Addink. "GEOMORPHOLOGICAL MAPPING OF INTERTIDAL AREAS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2021 (June 28, 2021): 75–80. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2021-75-2021.
Повний текст джерелаCarputo, Francesco, Danilo D’Andrea, Giacomo Risitano, Aleksandr Sakhnevych, Dario Santonocito, and Flavio Farroni. "A Neural-Network-Based Methodology for the Evaluation of the Center of Gravity of a Motorcycle Rider." Vehicles 3, no. 3 (July 15, 2021): 377–89. http://dx.doi.org/10.3390/vehicles3030023.
Повний текст джерелаKarpov, Platon I., Chengkun Huang, Iskandar Sitdikov, Chris L. Fryer, Stan Woosley, and Ghanshyam Pilania. "Physics-informed Machine Learning for Modeling Turbulence in Supernovae." Astrophysical Journal 940, no. 1 (November 1, 2022): 26. http://dx.doi.org/10.3847/1538-4357/ac88cc.
Повний текст джерелаLiang, S. Y., and S. A. Perry. "In-Process Compensation for Milling Cutter Runout via Chip Load Manipulation." Journal of Engineering for Industry 116, no. 2 (May 1, 1994): 153–60. http://dx.doi.org/10.1115/1.2901925.
Повний текст джерелаSujatha, Dr P., Bora Mounika, Dukka Raju, Gokavarapu Rahul, and Mulli Gangaraju. "Ad Demand Forecasting Prediction using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (April 30, 2023): 4771–94. http://dx.doi.org/10.22214/ijraset.2023.51330.
Повний текст джерелаRizzo, Valentino, Stefano Traverso, and Marco Mellia. "Unveiling Web Fingerprinting in the Wild Via Code Mining and Machine Learning." Proceedings on Privacy Enhancing Technologies 2021, no. 1 (January 1, 2021): 43–63. http://dx.doi.org/10.2478/popets-2021-0004.
Повний текст джерелаLeventides, John, Evangelos Melas, Costas Poulios, and Paraskevi Boufounou. "Analysis of chaotic economic models through Koopman operators, EDMD, Takens' theorem and Machine Learning." Data Science in Finance and Economics 2, no. 4 (2022): 416–36. http://dx.doi.org/10.3934/dsfe.2022021.
Повний текст джерелаKoo, Jamin, Kyucheol Choi, Peter Lee, Amanda Polley, Raghavendra Sumanth Pudupakam, Josephine Tsang, Elmer Fernandez, et al. "Predicting Dynamic Clinical Outcomes of the Chemotherapy for Canine Lymphoma Patients Using a Machine Learning Model." Veterinary Sciences 8, no. 12 (December 2, 2021): 301. http://dx.doi.org/10.3390/vetsci8120301.
Повний текст джерелаRozos, Evangelos. "Machine Learning, Urban Water Resources Management and Operating Policy." Resources 8, no. 4 (November 14, 2019): 173. http://dx.doi.org/10.3390/resources8040173.
Повний текст джерелаGolmohammadi, Amir-Mohammad, Hasan Rasay, Zaynab Akhoundpour Amiri, Maryam Solgi, and Negar Balajeh. "Soft Computing Methodology to Optimize the Integrated Dynamic Models of Cellular Manufacturing Systems in a Robust Environment." Mathematical Problems in Engineering 2021 (November 11, 2021): 1–13. http://dx.doi.org/10.1155/2021/3040391.
Повний текст джерелаElngar, Ahmed, and Adriana Burlea-Schiopoiu. "Feature Selection and Dynamic Network Traffic Congestion Classification based on Machine Learning for Internet of Things." Wasit Journal of Computer and Mathematics Science 2, no. 2 (July 1, 2023): 76–91. http://dx.doi.org/10.31185/wjcms.150.
Повний текст джерелаNarang, Akhil, Victor Mor-Avi, Aldo Prado, Valentina Volpato, David Prater, Gloria Tamborini, Laura Fusini, et al. "Machine learning based automated dynamic quantification of left heart chamber volumes." European Heart Journal - Cardiovascular Imaging 20, no. 5 (October 9, 2018): 541–49. http://dx.doi.org/10.1093/ehjci/jey137.
Повний текст джерелаPiltan, Farzin, Alexander E. Prosvirin, Inkyu Jeong, Kichang Im, and Jong-Myon Kim. "Rolling-Element Bearing Fault Diagnosis Using Advanced Machine Learning-Based Observer." Applied Sciences 9, no. 24 (December 10, 2019): 5404. http://dx.doi.org/10.3390/app9245404.
Повний текст джерелаSilva-Aravena, Fabián, and Jenny Morales. "Dynamic Surgical Waiting List Methodology: A Networking Approach." Mathematics 10, no. 13 (July 1, 2022): 2307. http://dx.doi.org/10.3390/math10132307.
Повний текст джерелаPuissant, Agathe, Roy El Hourany, Anastase Alexandre Charantonis, Chris Bowler, and Sylvie Thiria. "Inversion of Phytoplankton Pigment Vertical Profiles from Satellite Data Using Machine Learning." Remote Sensing 13, no. 8 (April 8, 2021): 1445. http://dx.doi.org/10.3390/rs13081445.
Повний текст джерелаSzostak, Daniel, and Krzysztof Walkowiak. "Application of Machine Learning Algorithms for Traffic Forecasting in Dynamic Optical Networks with Service Function Chains." Foundations of Computing and Decision Sciences 45, no. 3 (September 1, 2020): 217–32. http://dx.doi.org/10.2478/fcds-2020-0012.
Повний текст джерелаAnand, Dr C., N. Vasuki, S. Nirmala, N. Naveen, and S. Prabakaran. "Greedy Dynamic Blocking for Rumour Detection on Live Twitter Using Machine Learning." Revista Gestão Inovação e Tecnologias 11, no. 2 (June 5, 2021): 364–73. http://dx.doi.org/10.47059/revistageintec.v11i2.1673.
Повний текст джерелаPresti, Claudia, Federica De Santis, and Francesca Bernini. "Value co-creation via machine learning from a configuration theory perspective." European Journal of Innovation Management 26, no. 7 (August 3, 2023): 449–77. http://dx.doi.org/10.1108/ejim-01-2023-0104.
Повний текст джерелаGultekin, Muaz, and Oya Kalipsiz. "Story Point-Based Effort Estimation Model with Machine Learning Techniques." International Journal of Software Engineering and Knowledge Engineering 30, no. 01 (January 2020): 43–66. http://dx.doi.org/10.1142/s0218194020500035.
Повний текст джерелаLiu, Tao, Dongqi Li, Jianjun Chen, Yanbing Chen, Tao Yang, and Jianhua Cao. "Active Learning on Dynamic Clustering for Drift Compensation in an Electronic Nose System." Sensors 19, no. 16 (August 19, 2019): 3601. http://dx.doi.org/10.3390/s19163601.
Повний текст джерелаSun, Jin, Zhengyu Chen, and Fu Wang. "A Novel ML-Aided Methodology for SINS/GPS Integrated Navigation Systems during GPS Outages." Remote Sensing 14, no. 23 (November 23, 2022): 5932. http://dx.doi.org/10.3390/rs14235932.
Повний текст джерелаNovikov, I. S., Y. V. Suleimanov, and A. V. Shapeev. "Automated calculation of thermal rate coefficients using ring polymer molecular dynamics and machine-learning interatomic potentials with active learning." Physical Chemistry Chemical Physics 20, no. 46 (2018): 29503–12. http://dx.doi.org/10.1039/c8cp06037a.
Повний текст джерелаSani, Shehu, Hanbing Xia, Jelena Milisavljevic-Syed, and Konstantinos Salonitis. "Supply Chain 4.0: A Machine Learning-Based Bayesian-Optimized LightGBM Model for Predicting Supply Chain Risk." Machines 11, no. 9 (September 4, 2023): 888. http://dx.doi.org/10.3390/machines11090888.
Повний текст джерелаAn, Qing, Ruoli Tang, Hongfeng Su, Jun Zhang, and Xin Li. "Robust configuration and intelligent MPPT control for building integrated photovoltaic system based on extreme learning machine." Journal of Intelligent & Fuzzy Systems 40, no. 6 (June 21, 2021): 12283–300. http://dx.doi.org/10.3233/jifs-210424.
Повний текст джерелаPatiño, José, Ángel Encalada-Dávila, José Sampietro, Christian Tutivén, Carlos Saldarriaga, and Imin Kao. "Damping Ratio Prediction for Redundant Cartesian Impedance-Controlled Robots Using Machine Learning Techniques." Mathematics 11, no. 4 (February 17, 2023): 1021. http://dx.doi.org/10.3390/math11041021.
Повний текст джерелаShin, Hyun-Jun, Kyoung-Woo Cho, and Chang-Heon Oh. "SVM-Based Dynamic Reconfiguration CPS for Manufacturing System in Industry 4.0." Wireless Communications and Mobile Computing 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/5795037.
Повний текст джерелаKim, Hyun Il, and Kun Yeun Han. "Linking Hydraulic Modeling with a Machine Learning Approach for Extreme Flood Prediction and Response." Atmosphere 11, no. 9 (September 15, 2020): 987. http://dx.doi.org/10.3390/atmos11090987.
Повний текст джерелаNeff, P., D. Steineder, B. Stummer, and T. Clemens. "Estimation of Initial Hydrocarbon Saturation Applying Machine Learning Under Petrophysical Uncertainty." SPE Reservoir Evaluation & Engineering 24, no. 02 (March 4, 2021): 325–40. http://dx.doi.org/10.2118/203384-pa.
Повний текст джерелаKhessam, Medjdoub, Abdelkader Lousdad, Abdeldjebar Hazzab, Miloud Rezkallah, and Ambrish Chandra. "A new application for fast prediction and protection of electrical drive wheel speed using machine learning methodology." Indonesian Journal of Electrical Engineering and Computer Science 26, no. 3 (June 1, 2022): 1290. http://dx.doi.org/10.11591/ijeecs.v26.i3.pp1290-1298.
Повний текст джерелаKuzmin, A. G., Y. A. Titiov, and A. Y. Zaitceva. "MASS SPECTROMETRIC DIAGNOSIS OF RECOVERY AFTER RESPIRATORY ILLNESS USING MACHINE LEARNING METHODS." BIOTECHNOLOGY: STATE OF THE ART AND PERSPECTIVES 1, no. 2022-20 (2022): 74–77. http://dx.doi.org/10.37747/2312-640x-2022-20-74-77.
Повний текст джерелаLokanan, Mark, Vincent Tran, and Nam Hoai Vuong. "Detecting anomalies in financial statements using machine learning algorithm." Asian Journal of Accounting Research 4, no. 2 (October 14, 2019): 181–201. http://dx.doi.org/10.1108/ajar-09-2018-0032.
Повний текст джерелаAlhussan, Amel Ali, Abdelaziz A. Abdelhamid, S. K. Towfek, Abdelhameed Ibrahim, Marwa M. Eid, Doaa Sami Khafaga, and Mohamed S. Saraya. "Classification of Diabetes Using Feature Selection and Hybrid Al-Biruni Earth Radius and Dipper Throated Optimization." Diagnostics 13, no. 12 (June 12, 2023): 2038. http://dx.doi.org/10.3390/diagnostics13122038.
Повний текст джерелаShaheen, Memoona, Mehreen Arshad, and Owais Iqbal. "Role and Key Applications of Artificial Intelligence & Machine Learning in Transportation." European Journal of Technology 4, no. 1 (December 31, 2020): 47–59. http://dx.doi.org/10.47672/ejt.632.
Повний текст джерелаChitturi, Sathya R., Nicolas G. Burdet, Youssef Nashed, Daniel Ratner, Aashwin Mishra, T. J. Lane, Matthew Seaberg, et al. "A machine learning photon detection algorithm for coherent x-ray ultrafast fluctuation analysis." Structural Dynamics 9, no. 5 (September 2022): 054302. http://dx.doi.org/10.1063/4.0000161.
Повний текст джерелаVaienti, Beatrice, Rémi Petitpierre, Isabella di Lenardo, and Frédéric Kaplan. "Machine-Learning-Enhanced Procedural Modeling for 4D Historical Cities Reconstruction." Remote Sensing 15, no. 13 (June 30, 2023): 3352. http://dx.doi.org/10.3390/rs15133352.
Повний текст джерелаLegendre, Cesar, Vincent Ficat-Andrieu, Athanasios Poulos, Yuya Kitano, Yoshitaka Nakashima, Wataru Kobayashi, and Gaku Minorikawa. "A machine learning-based methodology for computational aeroacoustics predictions of multi-propeller drones." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 3 (August 1, 2021): 3467–78. http://dx.doi.org/10.3397/in-2021-2415.
Повний текст джерелаGino, Vinícius L. S., Rogério G. Negri, Felipe N. Souza, Erivaldo A. Silva, Adriano Bressane, Tatiana S. G. Mendes, and Wallace Casaca. "Integrating Unsupervised Machine Intelligence and Anomaly Detection for Spatio-Temporal Dynamic Mapping Using Remote Sensing Image Series." Sustainability 15, no. 6 (March 7, 2023): 4725. http://dx.doi.org/10.3390/su15064725.
Повний текст джерелаSantos, Marcone Ferreira, Alessandro Corrêa Victorino, and Hugo Pousseur. "Model-based and machine learning-based high-level controller for autonomous vehicle navigation: lane centering and obstacles avoidance." IAES International Journal of Robotics and Automation (IJRA) 12, no. 1 (March 1, 2023): 84. http://dx.doi.org/10.11591/ijra.v12i1.pp84-97.
Повний текст джерелаPrajapati, Keyur, and Dinesh J Prajapati. "Web Auto Configuration for N-Tier in VM based Dynamic Environment by Reinforcement Learning Approach: A Study." Computer Science & Engineering: An International Journal 12, no. 1 (February 28, 2022): 25–34. http://dx.doi.org/10.5121/cseij.2022.12104.
Повний текст джерелаPomponio, Laura, Marc Le Goc, Alain Anfosso, and Eric Pascual. "Levels of Abstraction for Behavior Modeling in the GerHome Project." International Journal of E-Health and Medical Communications 3, no. 3 (July 2012): 12–28. http://dx.doi.org/10.4018/jehmc.2012070102.
Повний текст джерелаDadras Javan, Farzad, Italo Aldo Campodonico Avendano, Behzad Najafi, Amin Moazami, and Fabio Rinaldi. "Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses." Energies 16, no. 14 (July 16, 2023): 5407. http://dx.doi.org/10.3390/en16145407.
Повний текст джерелаHabib, Ahed, and Umut Yildirim. "Estimating mechanical and dynamic properties of rubberized concrete using machine learning techniques: a comprehensive study." Engineering Computations 39, no. 8 (August 19, 2022): 3129–78. http://dx.doi.org/10.1108/ec-09-2021-0527.
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