Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review

Cited by (659)

Items 301–400 of 659

  1. Considering compound drought and heatwave events significantly improve forest pest occurrence prediction
    Jixia Huang, Sirui Zhu, Yanhong Li, Yuanyuan Yin, Jin Wu, Yimen Lv, Guofei Fang · 2025 · Pest Management Science
  2. Comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices
    Yunus Musa, Rusnadi Padjung, Nasaruddin Nasaruddin, Muh Farid, Andang Suryana Soma, ACHMAD KAUTSAR BAHARUDDIN, Muh. Fikri Al Qautzar, Resky Maulidina Fakhri, M.C. Casimero, Amin Nur et al. · 2025 · Frontiers in Sustainable Food Systems
  3. The Evolution of Classical and Soft Computing Methods in Predicting Road Maintenance and Repair Costs: Approaches in the Literature and Future Perspectives
    Haydar Gundogdu, Ömer Faruk Cansız, Mehmet Fatih Can · 2025 · The Baltic Journal of Road and Bridge Engineering
  4. Ensemble machine learning for predicting the urban expansion in Lucknow, India
    Danish Khan, Nizamuddin Khan, Mohamed Yehia Abouleish, Shruti Kanga, Suraj Kumar Singh, Gowhar Meraj · 2025 · Environmental Earth Sciences
  5. A machine learning-based ground motion model for the Chilean subduction zone and its application to probabilistic seismic hazard analysis
    Fabián Pachano, Brian Cagua, Matías Birrell, Miguel Medalla, Rodrigo Astroza · 2025 · Soil Dynamics and Earthquake Engineering
  6. Identification of key driving factors for ecological environmental quality in Hainan Tropical Rainforest National Park using causal inference with double machine learning
    Kai Jian, Xiaoqi Wu, Qing Zhang, Shengnan Wang · 2025 · Environmental and Sustainability Indicators
  7. Water quality estimation and algae bloom prediction using machine learning – A case study
    Shengping Zhao, Quan Wang, Zhenzhou An, Xiaoyan Wang, Yali Su, Jingrui Li, Guoqi Wen · 2025 · Journal of Water Process Engineering
  8. The role of review responses in shaping online review content and review space dynamics
    HanByeol Stella Choi, Junyeong Lee, Chanhee Kwak, Jinyoung Min · 2025 · Electronic Markets
  9. An optimizing dual-scale TPI framework for enhanced geomorphological classification in plateau and mountainous regions:Gaining deeper insights into topographic effects on forest fires
    Zhichao Huang, Mingshan Wu, Jiangxia Ye, Ruliang Zhou, Wenlong Yang, Shenghao Li, Bingjie Han, Mengting Xue, Shuai He, Xinkun Zhu · 2025 · Quaternary Science Advances
  10. Forecasting the Rising Threat: How Climate Change Could Amplify Rice Brown Spot in Côte d'Ivoire
    Jean-Fabrice Adanvé, Brahima Mamadou Koné, Rachidatou Sikirou, Goudjo Habib Toessi, Kpedetin Ariel Frejus Sodedji, Fatogoma Sorho, Elliott Ronald Dossou‐Yovo, Geoffrey Onaga · 2026 · Journal of Phytopathology
  11. Optimizing atrial fibrillation detection through ECG feature selection using Extra-Trees and statistical association measures
    Γεώργιος Πετμεζάς, Vasileios Ε. Papageorgiou, ROD S. PASSMAN, John A. Rogers, Leandros Stefanopoulos, Aggelos K. Katsaggelos, Nicos Maglaveras · 2026 · Journal of Electrocardiology
  12. Discovering equations from data: symbolic regression in dynamical systems
    Beatriz Regina Brum, Luiza Lober, Isolde Terezinha Santos Previdelli, Francisco A. Rodrigues · 2026 · Journal of Physics Complexity
  13. Personalized driving stress assessment for enhanced safety: An explainable multimodal framework
    Liu Yang, Wenhao Liu, Jiaqiang Wen, Shuo Zhao, Yunzhou Song · 2026 · Safety Science
  14. Integration of clustering and principal component analyses in MCDA to identify feasible regions for managed aquifer recharge
    Constantinos F. Panagiotou, Tiago Martins, Catalin Stefan · 2026 · Journal of Hydrology
  15. An effluent risk informed closed-loop framework for early warning of influent anomalies using COD soft sensing
    Wenjun Liu, Yang He, Yaorong Shu, Linghao Chen, Feixiang Zan, Xiejuan Lu, Juan Mao, Xiaohui Wu · 2026 · Water Research
  16. A robust explainable machine learning pipeline for transformer health index prediction addressing data pathologies and redundancy
    J. Chandramohan, K. Karthick, S.K. Aruna, G. PonKumar · 2026 · Electric Power Systems Research
  17. Exceptional dielectric performance in additively manufactured pristine PVDF enabled by model–experiment synergistic optimization
    Xiaobing Dong, Shihui He, Qihao Qian, Zhao Liang, Yubing Deng, Ningyi Zhang, Chao Jiang · 2026 · Additive manufacturing
  18. LeafArea Package: A Tool for Estimating Leaf Area in Andean Fruit Species
    Pedro Alexander Velasquez-Vasconez, Danita Andrade Díaz · 2024 · International Journal of Plant Biology
  19. An Ensemble-Based Model for Specific Humidity Retrieval from Landsat-8 Satellite Data for South Korea
    Sungwon Choi, Noh-Hun Seong, Daeseong Jung, Suyoung Sim, Jongho Woo, Nayeon Kim, Sungwoo Park, Kyung‐Soo Han · 2024 · Atmosphere
  20. Çoklu Doğrusal Bağlantı Olması Durumunda Veri Madenciliği Algoritmaları Performanslarının Karşılaştırılması
    Saygın Diler, Yıldırım Demir · 2024 · Nicel Bilimler Dergisi
  21. Prevalence and Clinical Correlates of Suicidal Ideation and Attempts in Individuals at Clinical High Risk for Psychosis
    Julia Pfluger, James B. Green, Wenhui Qi, Claire Goods, Joey Rodriguez, Michelle L. West, Matcheri S. Keshavan, Michelle S. Friedman‐Yakoobian · 2024 · Early Intervention in Psychiatry
  22. Deep Neural Network modeling and analysis of the laboratory compaction parameter of unbound granular materials
    Muhammad Abubakar Dalhat · 2024 · Measurement
  23. Predictive maintenance system for screw compressors using machine learning: a comparative study
    Nawal Daoudi, Smail Zaki, Mohamed Aboussaleh · 2025 · The International Journal of Advanced Manufacturing Technology
  24. A revision of the Anolis carolinensis subgroup supports three species in Cuba, including a new cryptic species (Squamata: Anolidae)
    Javier Torres López, Dexter Reilly, Claudia Nuñez‐Penichet, R. Graham Reynolds, Richard E. Glor · 2025 · Vertebrate Zoology
  25. Optimizing Artificial Rainwater Harvesting in the Northwest Zone of Bangladesh: Integrated Machine Learning and a GIS-Based Multicriteria Approach
    Md. Najmul Kabir, Md Mahmudul Hasan, Tanha Tabassum Hridi, Md. Mominul Islam, Emon Barua, Nidhy Mostan, Shah Md Shahnewaz Sayem · 2025 · Water Conservation Science and Engineering
  26. A comprehensive approach for calibrating anthropogenic effects on atmosphere degradation
    Geonhwa You · 2023 · Renewable and Sustainable Energy Reviews
  27. Retracted: The Enhanced Optimization on Deep Learning Technologies for Data Science Practices
    Dharmesh Dhabliya, B Reddy, S. Rajarajeswari, M K Ranganathaswamy, Nivesh, S. Rajarajeswari, Megha Pandey · 2023 · International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON) · Retracted
  28. Predicting magnetic properties of van der Waals magnets using graph neural networks
    Peter Minch, Romakanta Bhattarai, Kamal Kumar Choudhary, Trevor David Rhone · 2024 · Physical Review Materials
  29. Microplastic Deposit Predictions on Sandy Beaches by Geotechnologies and Machine Learning Models
    Anderson Targino da Silva Ferreira, Regina Célia de Oliveira, Maria Carolina Hernandez Ribeiro, Pedro Silva de Freitas Sousa, Lucas de Paula Miranda, Saulo de Oliveira Folharini, Eduardo Siegle · 2025 · Coasts
  30. Enhancing Forex Market Forecasting with ConvLSTM2D: A Comprehensive Analysis of Spatiotemporal Dependencies and Data Preprocessing Techniques
    Behzad Sanaei, Sahand Daneshvar · 2025 · Computational Economics
  31. Comparative Analysis of the Impact of Built Environment and Land Use on Monthly and Annual Mean PM2.5 Levels
    Anjian Song, Zhenbao Wang, Shihao Li, Xinyi Chen · 2025 · Atmosphere
  32. A machine learning approach to healthcare needs and barriers using the 100% Community Survey of access to SDOH services
    Karikarn Chansiri, Julie S. McCrae, Katherine Ortega Courtney, Dominic Cappello · 2025 · Frontiers in Public Health
  33. Mortality in Women with Coronary Artery Disease in Paraná State, Brazil: A Bayesian Spatiotemporal Analysis
    Marcelo Aguilar Puzzi, Miyoko Massago, Júlia Loverde Gabella, Samile Bonfim, Daniel Augusto Message dos Santos, Fernanda Shizue Nishida, Sandra Marisa Pelloso, Lincoln Luis Silva, Oscar Kenji Nihei, Maria Dalva de Barros Carvalho et al. · 2024 · Global Heart
  34. Human Resource Development and Employee Commitment in Nepalese Commercial Banks
    Shreekrishna Kharel, Ganesh Prasad Niraula · 2024 · The Nepalese Management Review
  35. A Machine Learning-Based Quality Control Algorithm for Heavy Rainfall Using Multi-Source Data
    Sun, Hao, Zhou, Qing, Shi, Lijuan, Li, Cuina, Qin, Shiguang, Yao, Dan, Xu, Mingyi, Huang, Yang, Hu, Qin, Guan, Yunong · 2025 · Remote Sensing
  36. Selecting, optimizing and externally validating a preexisting machine-learning regression algorithm for estimating waist circumference
    Bryan Víctor Phillips-Farfán · 2023 · Computers in Biology and Medicine
  37. Interpretable multi-morphology and multi-scale microalgae classification based on machine learning
    Huchao Yan, Xinggan Peng, Chao Wang, Ao Xia, Yun Huang, Xianqing Zhu, Jingmiao Zhang, Xun Zhu, Qiang Liao · 2024 · Algal Research
  38. Modeling soil respiration in summer maize cropland based on hyperspectral imagery and machine learning
    Fanchao Zeng, Jinwei Sun, Huihui Zhang, Lizhen Yang, Xiaoxue Zhao, Jing Zhao, Xiaodong Bo, Yuxin Cao, Fuqi Yao, Fenghui Yuan · 2025 · Frontiers in Environmental Science
  39. Determinants of active school travel levels among children: A case study in a mountainous city
    Rui Tang, Zhuangbin Shi, Mingwei He, Shisheng Min, Yang Liu · 2025 · Journal of Transport & Health
  40. Exploring Machine Learning Models for Vault Safety in ICL Implantation: A Comparative Analysis of Regression and Classification Models
    Qing Zhang, Qi Li, Zhilong Yu, Ruibo Yang, Emmanuel Eric Pazo, Yue Huang, Hui Liu, Chen Zhang, Salissou Moutari, Shaozhen Zhao · 2025 · Ophthalmology and Therapy
  41. Optimized Time Series Feature Selection for Manufacturing AI: Reducing Complexity and Improving Classification Accuracy
    Jaeseok Jang, Chanyoung Jung, Hail Jung · 2025 · IEEE Access
  42. Analysis of influencing factors on the properties of coal-to-direct liquefied diesel
    Zhendong QI, Linsheng Li, Xingbao WANG, Jie Feng, Wenying Li · 2025 · Journal of Fuel Chemistry and Technology
  43. Glymphatic Function as a Prognostic Biomarker in Prolonged Disorders of Consciousness
    Dian‐Wei Wu, Changgeng Song, Rong Chen, Jingjing Zhao, Y.-T. Zhang, Xuan Wang, Zhongqing Sun, Xiaogang Kang, Qiong Gao, Wen Jiang · 2025 · CNS Neuroscience & Therapeutics
  44. Multimodal Data-Driven Hourly Dynamic Assessment of Walkability on Urban Streets and Exploration of Regulatory Mechanisms for Diurnal Changes: A Case Study of Wuhan City
    Xingyao Wang, Ziyi Peng, Xue Yang · 2025 · Land
  45. Predicting bird species detection in avian ecology using machine learning models, environmental factors, and tree characteristics
    F. A. Egwumah, U. E. Ekwugha, P.O. Egwumah · 2025 · Environmental and Ecological Statistics
  46. Efficiency assessment of some machine learning algorithms for predicting the Qanat's discharge
    Hamzeh Noor, Ali Dastranj, Mohammad Rostami Khalaj, Seyed Hossien Rajae · 2025 · Water Science & Technology Water Supply
  47. Association of climate awareness with urban mobility and consumption behaviour in Accra: a path analysis
    Nestor Asiamah, Theophilus Kofi Anyanful, Musah Osumanu Doumbia, Nana Benyi Ansah, Frank Frimpong Opuni, Isaac Aidoo, Faith Hope Muhonja, Simon Mawulorm Agyemang, Cosmos Yarfi, Prince Koranteng Kumi et al. · 2025 · Transportation
  48. Comparison between Two-Level Machine Learning and Deep Learning for Groundwater Potential Mapping in the Rmel Aquifer (Northwestern Morocco)
    Morad Chahid, Jamal Eddine Stitou El Messari, Ismail Hilal, Zouhir Dichane, Rabin Chakrabortty, Sanju Purohit, Mourad Aqnouy · 2025 · Earth Systems and Environment
  49. Predicting Nitrogen Content in Rice Using Unmanned Aerial Vehicle Based Multispectral Imaging
    Rahul Tripathi, Bismay Ranjan Tripathy, Shiv Sundar Jena, Chinmaya Kumar Swain, Sangita Mohanty, Rabi Narayan Sahoo, Shyamsundar Das Mohapatra, A. K. Nayak · 2025 · CLEAN - Soil Air Water
  50. Predicting Patent Life Using Robust Ensemble Algorithm
    Sang-Hyeon Park, Min-Seung Kim, June-Woong Rhee, Sang-Hwa Lee, Jeong Kyu Kim, Si-Hyun Oh, Tae-Eung Sung · 2025 · Sustainability
  51. Role of urban green space structure and configuration in regulating land surface temperature in NCT Delhi using explainable artificial intelligence
    Manish Kumar, Sourav Bhadwal, Netrananda Sahu · 2025 · Urban Climate
  52. Is Sport Analytics a Saving Boat for Traditional Measurement and Evaluation in Kinesiology?
    Minsoo Kang, Seungbak Lee · 2025 · Measurement in Physical Education and Exercise Science
  53. The new frontier of customer understanding: Financial satisfaction and AutoML in banking
    Manuel Alonso Dos Santos, Carmen Zarco, Francisco José Liébana-Cabanillas · 2025 · Journal of Retailing and Consumer Services
  54. Who engages? Machine learning insights into digital mindfulness-based intervention for generalized anxiety disorder
    Nur Hani Zainal, Michelle Gayle Newman · 2025 · Journal of Affective Disorders
  55. Business intelligence for improving decision making and organizational performance: A Systematic Literature Review (2019-2024)
    Deyvis Estrella Maldonado, Milagros Carlos Diaz, LORGIO GILBERTO VALDIVIEZO GONZALES · 2025 · LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI)
  56. Ridge, LASSO, and elastic net regression: Fathers’ psychological well-being in familial contexts
    Kwangman Ko, Ahmad Al Doulat, Seulki Ku · 2025 · Journal of Social and Personal Relationships
  57. Characterizing learning in spiking neural networks with artificial astrocytes
    Christopher S. Yang, Sylvester J. Gates, Dulara De Zoysa, Jaehoon Choe, Wolfgang Losert, Corey B. Hart · 2026 · Neurocomputing
  58. Spectral Feature Integration and Ensemble Learning Optimization for Regional-Scale Landslide Susceptibility Mapping in Mountainous Areas
    Yun Tian, Taorui Zeng, Linfeng Wang, Gang Chen, Sihang Yang, Hao Chen, Ligang Wang · 2026 · Remote Sensing
  59. Psychological mediators in chronic spinal pain after fully remote digital rehabilitation: a real-world, large-sample study
    Dora Janela, Xin Tong, Diogo Pires, Hélder Fonseca, Fabíola M.T.A. Costa · 2026 · Physical Therapy
  60. Assessment of Ecosystem Service Value and Analysis of Driving Factors in the Giant Panda National Park in China
    Hongli Zhao, Wen Yang, Yi Zhang, Chuan Luo, Xvjia Li, Yi Zhang · 2026 · Land
  61. An explainable RF-CNN model for injury severity prediction in single-motorcycle crashes
    Sonita Sum, Panuwat Wisutwattanasak, Thanapong Champahom, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha · 2026 · Case Studies on Transport Policy
  62. Analyzing the impact of input factors on early childhood education quality using explainable machine learning
    Xun Zhang, Yan Yan, Yuanfang Guo, Kejian Li · 2026 · International Journal of Educational Research
  63. Quantitative inversion of soil salinization in salt lake regions: Spatiotemporal variation and driving mechanisms
    Jinjun Han, ZiTao Wang, Jianping Wang, Chuntao Zhao, Dongmei Yu, Zhaofeng Liu · 2026 · Journal of Geographical Sciences
  64. Towards predictive reliability: evaluating influential variables in centrifugal pumps’ MTBF for oil and gas applications
    Marc Vila Forteza, Diego Pascual Galar, Kai Goebel, Uday Kumar · 2026 · Engineering Research Express
  65. Soil depth classification using synchronous soil descriptors and machine learning for steep coffee plantation applications
    Irwin Syahri Cebro, Fakhriza, Samsul Bahri, Agustami Sitorus · 2026 · Results in Engineering
  66. Hybrid models of sparse and robust regression to solve heterogeneity problem in black pepper big data
    Paavithashnee Ravi Kumar, Olayemi Joshua Ibidoja, Majid Khan Majahar Ali, Wan Rosli Wan Ishak · 2026 · Scientific Reports
  67. Robust data integration methods for understanding associations between climate change and hantavirus infection in Europe are needed: A systematic-narrative hybrid literature review
    Junwen Guo, Joacim Rocklöv, Jan C. Semenza, Henrik Sjödin, Marina Treskova · 2026 · Environmental Challenges
  68. Toxicity prediction and ecological risk assessment of new contaminants to rare and endangered species using machine learning-QSAR: a case study of conserving Gobiocypris rarus in the Yangtze River Basin
    Ying Wang, Xin Wang, Yunchi Zhou, Yinghao Cheng, Xiaomin Li, Xiaolei Wang, Yuefei Ruan, Zhaomin Dong, Wenhong Fan · 2026 · New Contaminants
  69. Deep learning models for comprehensive landslide susceptibility study considering climate change and sustainable development implications in Western Province of Rwanda
    Vincent E. Nwazelibe, Mubarak Abdulkarim, Johnson C. Agbasi, Emmanuel C. Okpala, Chaitanya B. Pande, Sani I. Abba, Johnbosco C. Egbueri · 2026 · Natural Hazards
  70. Exploring the climatic and non-climatic determinants of cereal production in Bangladesh
    A K M Kanak Pervez, R. Ifty Isfaqur, Akira Ishida, Md Mahedi, Md Nazirul Islam Sarker · 2026 · AIMS Agriculture and Food
  71. A Comparative Study of Susceptibility and Hazard for Mass Movements Applying Quantitative Machine Learning Techniques—Case Study: Northern Lima Commonwealth, Peru
    Edwin Badillo-Rivera, Manuel Olcese, Ramiro Santiago Chirinos, Teófilo Ivan Poma Inche, Neftalí Muñoz, Carlos Alberto Rojas-León, Teodosio Juan Chávez Campos, Luz de Fátima Eyzaguirre Gorvenia, César Rodríguez-Aburto, Fernando José Oyanguren Ramirez · 2024 · Geosciences
  72. Comparing the Evolving Dynamics of the Mandatory-Voluntary Financing Mix in OECD Countries: A Composite Measure
    Chiara Berardi, Heidi M. Wechtler, Madeleine Hinwood, Erik Schut · 2025 · Social Indicators Research
  73. Machine learning-empowered study of metastable γ-CsPbI 3 under pressure and strain
    Minkyung Han, Cheng Peng, Ruyi Song, Feng Ke, Youssef S. G. Nashed, Wendy L. Mao, Chunjing Jia, Yu Lin · 2024 · Journal of Materials Chemistry A
  74. Comparative analysis of machine learning classification algorithms for predicting olive anthracnose disease
    Klimentia Kottaridi, Anna Milionis, Vasilis Demopoulos, Vasilis N. Nikolaidis, Polina C. Tsalgatidou, Athanasios Tsafouros, Anastasios Kotsiras, Alexandros Vithoulkas · 2024 · Journal of Autonomous Intelligence
  75. Body Region Sampling Areas- and Phaneroptics-Associated Hair Fiber Phenotypes in Canarian Camel Versus Merino Sheep
    Carlos Iglesias Pastrana, Francisco Javier Navas González, Elena Ciani, Beatriz López de Los Santos, Juan Vicente Delgado Bermejo · 2024 · Journal of Natural Fibers
  76. Prediction Model of the Temporal Dynamics of Severe Pest Cashew Anacampsis phytomiella Using Artificial Neural Networks
    Guilherme Pratissoli Pancieri, Maria do Socorro Cavalcante de Souza Mota, Jhersyka da Silva Paes, Letícia Caroline da Silva Sant’Ana, Juliana Magalhães Soares, Daiane das Graças do Carmo, Ricardo Siqueira da Silva, Marcelo Coutinho Picanço · 2024 · Journal of Applied Entomology
  77. DETERMINANTS OF WORKFORCE EFFICIENCY: AN ANALYSIS OF EMPLOYEE PERFORMANCE DRIVERS IN JIANGSU'S AUTOMOTIVE SECTOR
    Chen Xinjian, Mohamad Idrakisyah · 2025 · American Journal of Advanced Technology and Engineering Solutions
  78. Epigenetic Clock in Bears: A Simple Cost‐Effective Blood DNA Methylation‐Based Age Estimation Method Applicable to Multiple Bear Species
    Michito Shimozuru, Shiori Nakamura, Jumpei Yamazaki, Yojiro Yanagawa, Hiroo Tamatani, Misako Kuroe, Koji Yamazaki, Shinsuke Koike, Yusuke Goto, Tomoko Naganuma et al. · 2025 · Ecology and Evolution
  79. A GRU-Enhanced Kolmogorov–Arnold Network Model for Sea Surface Temperature Prediction Derived from Satellite Altimetry Product in South China Sea
    Rumiao Sun, Zhengkai Huang, Xuechen Liang, Siyu Zhu, Huilin Li · 2025 · Remote Sensing
  80. Explicabilidade em Modelos Preditivos de Machine Learning no Câncer de Mama
    Erika Yahata, Erik Paul Winnikow, Ricardo Suyama, Priscyla Waleska Targino de Azevedo Simões · 2023 · Journal of Health Informatics
  81. The Impact of Institutional Factors on Bilateral Migration: the Gravity Approach
    Rogneda I. Vasilyeva, Valentin Voytenkov, Alina Urazbaeva · 2023 · Corvinus Journal of Sociology and Social Policy
  82. Brainstem Exploration: PCA-Based Partial Correlation for Sparse and Direct Functional Connectivity Networks
    Santa Sozzi, Alejandro Luis Callara, Simone Cauzzo, Enzo Pasquale Scilingo, Paola Binda, Nicola Vanello · 2024 · IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
  83. Changes in the Timing of Autumn Leaf Senescence of Maple and Ginkgo Trees in South Korea over the Past 30 Years: A Comparative Assessment of Process-Based, Linear Regression, and Machine-Learning Models
    Sukyung Kim, Minkyu Moon, Hyun Seok Kim · 2025 · Forests
  84. Response to the letter by Prof. Yoshiyasu Takefuji: Enhancing methodological rigor in machine learning for food authentication
    Mansoor Ahmad Bhat, Mohd Yousuf Rather, Prabhakar Singh, Saqib Hassan, Naseer Hussain · 2025 · Trends in Food Science & Technology
  85. INTEGRATING SPECTRAL AND TEXTURE INDICES WITH MACHINE LEARNING FOR RICE LEAF AREA INDEX (LAI) ESTIMATION IN SUPHAN BURI, THAILAND
    Kritchayan Intarat, Paramaporn Netsawang, Supatthra Narawatthana, Chayapol Promaoh, Saruda Chuenkamol · 2025 · Geographia Technica
  86. Transforming linear regression with AI-driven enhancements for superior forecasting robustness and interpretability
    Quanzhong Yang, Yifei Guo, Ruili Zhang · 2025 · International Journal of Information and Communication Technology
  87. Investigation and classification of soil using distance method and Crop Prediction
    Mrs. Sonali Sambare, Rajendra Patil, Tushar Sambare · 2025 · Procedia Computer Science
  88. Exploring the Influence of Data Characteristics on Machine Learning Outcomes
    Camilla Sancricca, Pasquale Castiglione, Cinzia Cappiello · 2025 · Lecture notes in business information processing
  89. Predicting dyscalcemia status in early-lactation multiparous Holstein cows using milk weight and constituent analysis from a single milking at 4 days in milk
    Jackson A. Seminara, K. R. Callero, S. An, C M Salpekar, M. Van Althuis, D.M. Barbano, Jessica A. A. McArt · 2025 · Journal of Dairy Science
  90. Do (not) enter? Objective visual features of indoor scenes predict approach-avoidance responses and core affect
    Fatih Deniz, Kynthia Chamilothori, Sanne Schoenmakers, Yvonne A. W. de Kort · 2025 · Journal of Environmental Psychology
  91. Empowering smart cities: Leveraging advanced forecasting models for proactive rainfall prediction and resilient urban planning
    Abdulnoor A. J. Ghanim, Ahmad Shaf, Muhammad Irfan, Fawaz Alzabari, Muawia Abdelkafi Magzoub Mohamed Ali · 2025 · AIP Advances
  92. Driver analysis of subarctic wildfire severity over a 35-year period
    Daniel Martin Nelson, Yuhong He, G. W. K. Moore · 2025 · Big Earth Data
  93. Decoding CO₂ futures in representative Green Belt and road countries: Evidence from China, India, and Russia
    Yuqiong Long, Nanxizi Chen, Lulu Zuo, Chen Yang, Beijia Huang, Guanhan Zhao · 2025 · Environmental Impact Assessment Review
  94. The relationship between structural characteristics of long-term care institutions and their initial operating budgets
    Xiaojing Wang, Peter C. Coyte · 2025 · Frontiers in Public Health
  95. Evaluating Variable Selection Methods in a Classification Framework: A Simulation Study
    Samuele Minari, Dario Pescini, Antonella Zambon, Davide Soranna · 2025 · Epidemiology Biostatistics and Public Health
  96. Evaluating Ordinal Multivariate Models under Multicollinearity via Pairwise Likelihood: A Simulation Perspective
    Achmad Fauzan, Kusman Sadik, Anang Kurnia · 2025 · Advance Sustainable Science Engineering and Technology
  97. A Comparative Study of a Series of Supervised Learning Models for Motorcycle Crash Injury Severity Prediction
    Sonita Sum, Panuwat Wisutwattanasak, Thanapong Champahom, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha · 2025 · Civil Engineering Journal
  98. An Integrated Machine Learning and Remote Sensing Method for Predicting Cyanobacterial Blooms: A Case Study in China’s lakes along a large-scale water diversion project
    Yue Zhang, Jun Hou, Lan Lin, Zheng Wu, Haoran Xu, Jun Ji Wu, Guoxiang You, Wei Ding, Qianqian Zheng, Lingzhan Miao · 2025 · Environmental Management
  99. Enhancing K-means Clustering in B2B Customer Segmentation: A Comparative and Hybrid Approach of Recursive Feature Elimination, Correlation Analysis, and Lasso Regularization
    Daisy Ipatzi Bello, Sabeen Tahir, Stefanía Paladini · 2025 · Communications in computer and information science
  100. Comparison of Statistical Methods for Brain Age Prediction Using Neuroimaging Data
    Marco Pinamonti, Valentina Sammassimo, Manuela Moretto, Mattia Veronese · 2025 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)