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Ampuła, Dariusz. "Random Forest in the Tests of Small Caliber Ammunition". Journal of KONBiN 52, n. 1 (1 marzo 2022): 73–85. http://dx.doi.org/10.2478/jok-2022-0006.
K, Srinivasa Reddy. "Texture Filtration Module Under Stabilization Via Random Forest Optimization Methodology". International Journal of Advanced Trends in Computer Science and Engineering 8, n. 3 (25 giugno 2019): 458–69. http://dx.doi.org/10.30534/ijatcse/2019/20832019.
Ortiz-Reyes, Alma Delia, Efraín Velasco-Bautista, Arian Correa-Díaz e Gregorio Ángeles-Pérez. "Predicción de variables dasométricas mediante modelos lineales mixtos y datos de LiDAR aerotransportado". E-CUCBA 9, n. 17 (29 dicembre 2021): 88–95. http://dx.doi.org/10.32870/ecucba.vi17.213.
Mitra, Mainak, e Soumit Roy. "Comparative Analysis of Predictive Models for Carbon Emission in Major Countries: A Focus on Linear Regression and Random Forest". International Journal of Science and Research (IJSR) 6, n. 8 (5 agosto 2017): 2295–302. http://dx.doi.org/10.21275/sr231205142350.
Alimbayeva, Zhadyra, Chingiz Alimbayev, Kassymbek Ozhikenov, Nurlan Bayanbay e Aiman Ozhikenova. "Wearable ECG Device and Machine Learning for Heart Monitoring". Sensors 24, n. 13 (28 giugno 2024): 4201. http://dx.doi.org/10.3390/s24134201.
Gao, Quansheng. "Design and Implementation of 3D Animation Data Processing Development Platform Based on Artificial Intelligence". Computational Intelligence and Neuroscience 2022 (30 maggio 2022): 1–7. http://dx.doi.org/10.1155/2022/1518331.
Togatorop, Parmonangan R., Megawati Sianturi, David Simamora e Desriyani Silaen. "Optimizing Random Forest using Genetic Algorithm for Heart Disease Classification". Lontar Komputer : Jurnal Ilmiah Teknologi Informasi 13, n. 1 (10 agosto 2022): 60. http://dx.doi.org/10.24843/lkjiti.2022.v13.i01.p06.
Zhao, Lefa, Yafei Zhu e Tianyu Zhao. "Deep Learning-Based Remaining Useful Life Prediction Method with Transformer Module and Random Forest". Mathematics 10, n. 16 (13 agosto 2022): 2921. http://dx.doi.org/10.3390/math10162921.
Ludot-Vlasak, Ronan. "Romulus en Amérique : recyclage et récupération des modèles antiques par John Howard Payne". Recherches anglaises et nord-américaines 45, n. 1 (2012): 65–82. http://dx.doi.org/10.3406/ranam.2012.1424.
Zhou, Bo, e Omer Saeed. "Comparative Analysis of Volleyball Serve Action Based on Human Posture Estimation". Mobile Information Systems 2022 (30 settembre 2022): 1–11. http://dx.doi.org/10.1155/2022/4817463.
Cai, Jiaowu, Peng Liu e Liangyu Li. "Pipeline gas leakage early warning system based on wireless sensor network". Frontiers in Computing and Intelligent Systems 2, n. 2 (29 dicembre 2022): 53–57. http://dx.doi.org/10.54097/fcis.v2i2.4085.
Radivojević, Dušan, Nikola Mirkov e Slobodan Maletić. "Human activity recognition based on machine learning classification of smartwatch accelerometer dataset". FME Transactions 49, n. 1 (2021): 225–32. http://dx.doi.org/10.5937/fme2101225r.
Massoud, Rana, Riccardo Berta, Stefan Poslad, Alessandro De Gloria e Francesco Bellotti. "IoT Sensing for Reality-Enhanced Serious Games, a Fuel-Efficient Drive Use Case". Sensors 21, n. 10 (20 maggio 2021): 3559. http://dx.doi.org/10.3390/s21103559.
Fu, Mingliang, Yuquan Leng, Haitao Luo e Weijia Zhou. "An Occlusion-Aware Framework for Real-Time 3D Pose Tracking". Sensors 18, n. 8 (20 agosto 2018): 2734. http://dx.doi.org/10.3390/s18082734.
Wang, Chao, Yunxiao Sun, Wenting Wang, Hongri Liu e Bailing Wang. "Hybrid Intrusion Detection System Based on Combination of Random Forest and Autoencoder". Symmetry 15, n. 3 (21 febbraio 2023): 568. http://dx.doi.org/10.3390/sym15030568.
Muruganantham, Kavitha, e Subbaiah Shanmugasundaram. "Distributed Improved Deep Prediction for Recommender System using an Ensemble Learning". International Journal on Recent and Innovation Trends in Computing and Communication 11, n. 4 (4 maggio 2023): 261–68. http://dx.doi.org/10.17762/ijritcc.v11i4.6448.
Kulkarni, Prasad, Tushar Patil, Aditya Pandey, Vishwesh Vyawahare, Dhiraj Magare e Gajanan Birajdar. "Performance Assessment of Hetero-Junction Intrinsic Thin Film HIT Photovoltaic Module Using Machine Learning Methods". ITM Web of Conferences 44 (2022): 01009. http://dx.doi.org/10.1051/itmconf/20224401009.
Ren, Keyu, Heqing Peng, Junwei Wu, Shengtao Yao, Jinfeng Li e Pingyu Li. "PT module -A Traffic Signal Classification Model Based on Convolutional Neural Networks and Random Forests". Applied and Computational Engineering 2, n. 1 (22 marzo 2023): 374–81. http://dx.doi.org/10.54254/2755-2721/2/20220531.
Ji, Yin, Jiandong Fang e Yudong Zhao. "Clover Dry Matter Predictor Based on Semantic Segmentation Network and Random Forest". Applied Sciences 13, n. 21 (26 ottobre 2023): 11742. http://dx.doi.org/10.3390/app132111742.
Eu, Song, Chang-Woo Lee, Junpyo Seo e Choongshik Woo. "Analyzing the Effect of Check Dam in Debris Flow Hazard Map Using Random Walk Model". Crisis and Emergency Management: Theory and Praxis 17, n. 9 (30 settembre 2021): 91–103. http://dx.doi.org/10.14251/crisisonomy.2021.17.9.91.
Chen, Zheng, e Weixiong Zhang. "Integrative Analysis Using Module-Guided Random Forests Reveals Correlated Genetic Factors Related to Mouse Weight". PLoS Computational Biology 9, n. 3 (7 marzo 2013): e1002956. http://dx.doi.org/10.1371/journal.pcbi.1002956.
Paunović-Pantić, Jovana, Danijela Vučević, Igor Pantić, Svetlana Valjarević e Tatjana Radosavljević. "Development of random forest machine learning model for the detection of changes in liver tissue after exposure to iron oxide nanoparticles". Medicinska istrazivanja 57, n. 1 (2024): 21–26. http://dx.doi.org/10.5937/medi57-46969.
Elsayed, Khaled, Azrul A. Mutalib, Mohamed Elsayed e Mohd Reza Azmi. "Optimising Plate Thickness in Interlocking Inter-Module Connections for Modular Steel Buildings: A Finite Element and Random Forest Approach". Buildings 14, n. 5 (29 aprile 2024): 1254. http://dx.doi.org/10.3390/buildings14051254.
Afiantara, Agus, Bagus Mahawan e Eka Budiarto. "Predicting of Banking Stability Using Machine Learning Technique of Random Forests". ACMIT Proceedings 6, n. 1 (5 luglio 2021): 1–8. http://dx.doi.org/10.33555/acmit.v6i1.89.
Christian, Robby, Balza Achmad e Hyun Gook Kang. "Prognostic Methods on Accelerator’s Anode Voltage Regulator". E3S Web of Conferences 43 (2018): 01020. http://dx.doi.org/10.1051/e3sconf/20184301020.
Yan, Guobing, Qiang Sun, Jianying Huang e Yonghong Chen. "Helmet Detection Based on Deep Learning and Random Forest on UAV for Power Construction Safety". Journal of Advanced Computational Intelligence and Intelligent Informatics 25, n. 1 (20 gennaio 2021): 40–49. http://dx.doi.org/10.20965/jaciii.2021.p0040.
Umutoni, C., e I. Ngaruye. "Prediction of Tea Production in Rwanda Using Data Mining Techniques". Agricultural and Food Science Journal of Ghana 15, n. 1 (22 marzo 2023): 1631–40. http://dx.doi.org/10.4314/afsjg.v15i1.10.
Ilbeigipour, Sadegh, Amir Albadvi e Elham Akhondzadeh Noughabi. "Real-Time Heart Arrhythmia Detection Using Apache Spark Structured Streaming". Journal of Healthcare Engineering 2021 (22 aprile 2021): 1–13. http://dx.doi.org/10.1155/2021/6624829.
Wang, Shun-Yuan, Wen-Bin Lin e Yu-Chieh Shu. "Design of Machine Learning Prediction System Based on the Internet of Things Framework for Monitoring Fine PM Concentrations". Environments 8, n. 10 (24 settembre 2021): 99. http://dx.doi.org/10.3390/environments8100099.
Heras, Diego, e Carlos Matovelle. "Machine-learning methods for hydrological imputation data: analysis of the goodness of fit of the model in hydrographic systems of the Pacific - Ecuador". Ambiente e Agua - An Interdisciplinary Journal of Applied Science 16, n. 3 (27 maggio 2021): 1. http://dx.doi.org/10.4136/ambi-agua.2708.
Kim, Sunhae, Hye-Kyung Lee e Kounseok Lee. "Which PHQ-9 Items Can Effectively Screen for Suicide? Machine Learning Approaches". International Journal of Environmental Research and Public Health 18, n. 7 (24 marzo 2021): 3339. http://dx.doi.org/10.3390/ijerph18073339.
SRISANKAR, M., e Dr K. P. LOCHANAMBAL. "THE SENTIMENTAL ANALYSIS USING DEEP LEARNING MODELS". INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, n. 11 (1 novembre 2023): 1–11. http://dx.doi.org/10.55041/ijsrem27151.
Lemenkova, Polina. "Random Forest Classifier Algorithm of Geographic Resources Analysis Support System Geographic Information System for Satellite Image Processing: Case Study of Bight of Sofala, Mozambique". Coasts 4, n. 1 (26 febbraio 2024): 127–49. http://dx.doi.org/10.3390/coasts4010008.
Kurade, Chinmay, Maninder Meenu, Sahil Kalra, Ankur Miglani, Bala Chakravarthy Neelapu, Yong Yu e Hosahalli S. Ramaswamy. "An Automated Image Processing Module for Quality Evaluation of Milled Rice". Foods 12, n. 6 (16 marzo 2023): 1273. http://dx.doi.org/10.3390/foods12061273.
Zhang, Huacong, Huaiqing Zhang, Keqin Xu, Yueqiao Li, Linlong Wang, Ren Liu, Hanqing Qiu e Longhua Yu. "A Novel Framework for Stratified-Coupled BLS Tree Trunk Detection and DBH Estimation in Forests (BSTDF) Using Deep Learning and Optimization Adaptive Algorithm". Remote Sensing 15, n. 14 (10 luglio 2023): 3480. http://dx.doi.org/10.3390/rs15143480.
Fried, J. S., e J. K. Gilless. "Stochastic Representation of Fire Occurrence in a Wildland Fire Protection Planning Model for California". Forest Science 34, n. 4 (1 dicembre 1988): 948–59. http://dx.doi.org/10.1093/forestscience/34.4.948.
Liu, Jin, Shanshan Qiu e Zhenbo Wei. "Real-Time Measurement of Moisture Content of Paddy Rice Based on Microstrip Microwave Sensor Assisted by Machine Learning Strategies". Chemosensors 10, n. 10 (20 settembre 2022): 376. http://dx.doi.org/10.3390/chemosensors10100376.
Rodríguez-Azar, Paula Ivone, Jose Manuel Mejía-Muñoz, Oliverio Cruz-Mejía, Rafael Torres-Escobar e Lucero Verónica Ruelas López. "Fog Computing for Control of Cyber-Physical Systems in Industry Using BCI". Sensors 24, n. 1 (27 dicembre 2023): 149. http://dx.doi.org/10.3390/s24010149.
Mizuno, Osamu, Naoki Kawashima e Kimiaki Kawamoto. "Fault-Prone Module Prediction Approaches Using Identifiers in Source Code". International Journal of Software Innovation 3, n. 1 (gennaio 2015): 36–49. http://dx.doi.org/10.4018/ijsi.2015010103.
R, Virupaksha Gouda, Anoop R, Joshi Sameerna, Arif Basha e Sahana Gali. "Forest Fire Prediction Using Machine Learning". International Journal for Research in Applied Science and Engineering Technology 11, n. 5 (31 maggio 2023): 792–97. http://dx.doi.org/10.22214/ijraset.2023.51496.
Jeong, YiNa, SuRak Son e ByungKwan Lee. "The Lightweight Autonomous Vehicle Self-Diagnosis (LAVS) Using Machine Learning Based on Sensors and Multi-Protocol IoT Gateway". Sensors 19, n. 11 (3 giugno 2019): 2534. http://dx.doi.org/10.3390/s19112534.
Pei, Huiqing, Toshiaki Owari, Satoshi Tsuyuki e Yunfang Zhong. "Application of a Novel Multiscale Global Graph Convolutional Neural Network to Improve the Accuracy of Forest Type Classification Using Aerial Photographs". Remote Sensing 15, n. 4 (11 febbraio 2023): 1001. http://dx.doi.org/10.3390/rs15041001.
Gao, Meizhen, Li Li e Yetong Gao. "Statistics and Analysis of Targeted Poverty Alleviation Information Integrated with Big Data Mining Algorithm". Security and Communication Networks 2022 (23 aprile 2022): 1–10. http://dx.doi.org/10.1155/2022/1496170.
Lee, Sang J., Dahee Chung, Akiko Asano, Daisuke Sasaki, Masahiko Maeno, Yoshiki Ishida, Takuya Kobayashi, Yukinori Kuwajima, John D. Da Silva e Shigemi Nagai. "Diagnosis of Tooth Prognosis Using Artificial Intelligence". Diagnostics 12, n. 6 (9 giugno 2022): 1422. http://dx.doi.org/10.3390/diagnostics12061422.
Alalayah, Khaled M., Khadija M. Alaidarous, Samah M. Alzanin, Mohammed A. Mahdi, Mohamed A. G. Hazber, Ibrahim M. Alwayle e Khaled M. G. Noaman. "Design an Internet of Things Standard Machine Learning Based Intrusion Detection for Wireless Sensing Networks". Journal of Nanoelectronics and Optoelectronics 18, n. 2 (1 febbraio 2023): 217–26. http://dx.doi.org/10.1166/jno.2023.3383.
Xue, Hongxiang, Mingxia Shen, Yuwen Sun, Haonan Tian, Zihao Liu, Jinxin Chen e Peiquan Xu. "Instance Segmentation and Ensemble Learning for Automatic Temperature Detection in Multiparous Sows". Sensors 23, n. 22 (12 novembre 2023): 9128. http://dx.doi.org/10.3390/s23229128.
Yao, Jiaqi, Ying Zhang e Chen Xin. "Network-on-Chip hardware Trojan detection platform based on machine learning". Journal of Physics: Conference Series 2189, n. 1 (1 febbraio 2022): 012004. http://dx.doi.org/10.1088/1742-6596/2189/1/012004.
Jiang, Tingyao, e Shuo Chen. "A Lightweight Forest Pest Image Recognition Model Based on Improved YOLOv8". Applied Sciences 14, n. 5 (27 febbraio 2024): 1941. http://dx.doi.org/10.3390/app14051941.
Belova, Ye P. "Using Formant Characteristics of Russian Vowels and Consonants for User Authentication". Herald of the Siberian State University of Telecommunications and Information Science 18, n. 1 (17 dicembre 2023): 59–69. http://dx.doi.org/10.55648/1998-6920-2024-18-1-59-69.
Nastić, Filip. "Predlog modela za predviđanje koncentracije suspendovanih (PM2.5) čestica u vazduhu". Energija, ekonomija, ekologija XXV, n. 3 (2023): 39–44. http://dx.doi.org/10.46793/eee23-3.39n.