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

Chan, Jireh Yi-Le, Leow, Steven Mun Hong, Bea, Khean Thye, Cheng, Wai Khuen, Phoong, Seuk Wai, Hong, Zeng-Wei, Chen, Yen-Lin·2022·Mathematics
DOI 10.3390/math10081283

Cited by (659)

Items 201–300 of 659

  1. Bagging machine learning algorithms for rapid identification, classification, evaluation and upscaling in unconventional reservoir
    Yiying Nie, Chenggang Xian, Jun Luo, Jing Zhang, Yingwei Wang, Caoxiong Li · 2024 · Geoenergy Science and Engineering
  2. Integrating Statistical Methods and Machine Learning Techniques to Analyze and Classify COVID-19 Symptom Severity
    Yaqeen Raddad, Ahmad Hasasneh, Obada Abdallah, Camil Rishmawi, Nouar Qutob · 2024 · Big Data and Cognitive Computing
  3. Machine learning assessment of the importance of unirradiated yield strength as a variable in embrittlement trend forecasting
    Diego Ferreño, Marjorie Erickson, Mark T. Kirk, Jose Adolfo Sainz-Aja · 2025 · International Journal of Pressure Vessels and Piping
  4. Enhancing nutritional status prediction through attention-based deep learning and explainable AI
    Heru Agus Santoso, Nur Setiawati Dewi, Su-Cheng Haw, Arga Dwi Pambudi, Sari Ayu Wulandari · 2025 · Intelligence-Based Medicine
  5. Deep learning-based long-medium prediction of Chinese new energy vehicle sales and air quality towards 2035
    Meiping Wang, Jin Shao, Shouxin Zhang, Jingke Hong, Xiangyang Tao, Li Guo · 2025 · Transportation Research Part D Transport and Environment
  6. Frameworks of wavelength selection in diffuse reflectance spectroscopy for tissue differentiation in orthopedic surgery
    Liyao Li, Carl Fisher, Katarzyna Komolibus, Konstantin Grygoryev, Huihui Lu, Ray Burke, Andrea Visentin, Stefan Andersson‐Engels · 2023 · Journal of Biomedical Optics
  7. An improved 3D Dijkstra algorithm of evacuation route considering tailings dam failure
    Yang Zhu, Zeqi Zhou, Jingjing Zhou, Xiuping Xu, Xiaogang Wu, Wen Nie · 2024 · Natural Hazards
  8. Navigating predictions at nanoscale: a comprehensive study of regression models in magnetic nanoparticle synthesis
    Lukas Glänzer, Lennart Göpfert, Thomas Schmitz‐Rode, Ioana Slabu · 2024 · Journal of Materials Chemistry B
  9. A Machine-Learning-Based Approach to Informing Student Admission Decisions
    Tuo Liu, Cosima Schenk, Stephan Braun, Andreas Frey · 2025 · Behavioral Sciences
  10. Comparison of Multiple Linear Regression and Artificial Neural Network Models in retrieving Water Quality Parameters using Remotely Sensed Data: Lake Victoria (Tanzanian) Water
    Risper Aroko, Dorothea Deus, Zakaria Ngereja · 2025 · South African Journal of Geomatics
  11. Performance and applicability of low-cost PM sensors to assess global pollution variability through machine learning techniques
    Rajat Sharma, Andry Rico Razakamanantsoa, Ashutosh Kumar, Thaseem Thajudeen, Agnès Jullien · 2025 · Atmospheric Environment X
  12. Multivariate Adaptive Regression Splines (MARS) analysis and complementary machine learning approaches in predicting earthquake-induced slope displacements
    Alireza Eskandarinejad, David Arellano, Rouzbeh Nazari, Mohammad Reza Nikoo · 2025 · Earth Science Informatics
  13. Hyperspectral imaging combined with machine and deep learning for non-destructive detection of defective red pepper ( capsicum annuum L.) powder adulteration
    Ji-Young Choi, Ju Young Lim, Ji‐Hee Yang, Young Bae Chung, Mi-Ai Lee, Sung‐Hee Park, Sung Gi Min · 2025 · International Journal of Food Properties
  14. Advancing environmental performance in emerging economies: the roles of working capital management and capital expenditure
    Joseph Nsiah, Andrew Osei Agyemang, Bernard Bawuah · 2025 · Cogent Business & Management
  15. Random forest-based identification and ranking of predictive factors for physical activity in Chinese college students
    Ding-you Zhang, Hu Lou, Jun Liu, Bo Li · 2025 · Frontiers in Public Health
  16. Ensemble intelligence for urban resilience: flood susceptibility modeling in Mumbai using advanced machine learning
    Harekrishna Manna, Mridul Chandra Das, Malay Pramanik, Sanjit Sarkar, Susanta Mahato, Swapan Talukdar, Wafa Saleh Alkhuraiji, Mohamed Zhran · 2025 · Geomatics Natural Hazards and Risk
  17. GIS-based spatiotemporal flood hazard assessment using statistical and fuzzy logic in the Omo Gibe River Basin, Ethiopia
    Yirgaalem Sorsa, Brook Abate, Yoseph Arba Orke · 2025 · Discover Applied Sciences
  18. Artificial intelligence-assisted NIR spectroscopy for identification of halal mislabeling in commercial meatball products
    Agustami Sitorus, Nunik Destria Arianti · 2026 · Microchemical Journal
  19. Improving preventive maintenance strategies for enhanced pavement friction restoration performance via explainable machine learning
    Jingtao Zhong, Christian A. Sabillon-Orellana, Miaomiao Zhang, Yuetan Ma, Xi Jiang, Baoshan Huang · 2026 · Construction and Building Materials
  20. Identifying subgroups of childhood obesity by using multiplatform metabotyping
    David Chamoso‐Sánchez, Francisco Rabadán, Jesús Argente, Coral Barbas, Gabriel Ángel Martos‐Moreno, Francisco Javier Rupérez · 2023 · Frontiers in Molecular Biosciences
  21. Prioritizing determinants of cognitive function in healthy middle-aged and older adults: insights from a machine learning regression approach in the Canadian longitudinal study on aging
    Sarah S. Singh, Shiran Zhong, Kem A. Rogers, Vladimir Hachinski, Stephanie J. Frisbee · 2023 · Frontiers in Public Health
  22. Comparing Designed Training Sets to Optimize Multivariate Regression Models for Pr, Nd, and Nitric Acid Using Spectrophotometry
    Luke R. Sadergaski, Hunter B. Andrews, David Rai, Vasileios A. Anagnostopoulos · 2024 · Applied Spectroscopy Practica
  23. Improving Prediction of Nutrient Recovery via Struvite Precipitation from Organic Waste Digestate
    Haidar Aldaach, Mohammed Tamim Zaki, Kevin D. Orner · 2024 · Environmental Engineering Science
  24. Modeling Energy Access Challenges in Europe: A Neural Network Approach to Predicting Household Heating Inadequacy Using Macro-Energy Indicators
    Monika Kulisz, Justyna Kujawska, Michał Cioch, Wojciech Cel · 2024 · Energies
  25. Evaluation and Prediction of Agricultural Water Use Efficiency in the Jianghan Plain Based on the Tent-SSA-BPNN Model
    Tianshu Shao, XU Xiang-dong, Yuelong Su · 2025 · Agriculture
  26. Evaluating battery industry performance through novel supply chain practices using structural equation modeling
    M. Puviarasu, P. Asokan, Kaliyan Mathiyazhagan, S. Umar Sherif, B.G. Aadithya · 2025 · Journal of Advances in Management Research
  27. Winter wheat plant density determination: Robust predictions across varied agronomic conditions using multiscale RGB imaging
    Jara Jauregui-Besó, Adrian Gracia‐Romero, Constanza Soledad Carrera, Marta S. Lopes, J. L. Araus, Shawn C. Kefauver · 2025 · Smart Agricultural Technology
  28. Assessing risk of groundwater pollution exposure from sea level rise in California
    Benjamin Hagedorn, Mark Pratt, Conor Sweeney, Matt Becker, D. L. Bram, Ben Chou, Aaron Gaines · 2025 · The Science of The Total Environment
  29. Value-at-risk forecasting- based on textual information and a hybrid deep learning-based approach
    Cao Yangfan, Wei Chong Choo, Bolaji Tunde Matemilola · 2025 · International Review of Economics & Finance
  30. Studying the impact of aggregates and mix volumetric properties on the moisture resistance of asphalt concrete using a feed-Forward artificial neural network
    Muhammad Abubakar Dalhat, Sami A. Osman · 2023 · Road Materials and Pavement Design
  31. Modelling inland Arctic bathymetry from space using cloud-based machine learning and Sentinel-2
    Michael Allan Merchant · 2023 · Advances in Space Research
  32. NEBULA101: an open dataset for the study of language aptitude in behaviour, brain structure and function
    Alessandra Rampinini, Irene Balboni, Olga Kepinska, Raphael Berthelé, Narly Golestani · 2025 · Scientific Data
  33. Ricci curvature discretizations for head pose estimation from a single image
    Lucia Cascone, Michele Nappi, Andrea Francesco Abate, Riccardo Distasi · 2025 · Pattern Recognition
  34. Critical statistical assessment of data in metal additive manufacturing
    Raymond Wong, Anh Tran, Bogdan Dovgyy, Claudia Santos Maldonado, Minh‐Son Pham · 2025 · Materials & Design
  35. Analysis of crop leaf area index, leaf chlorophyll content, and canopy chlorophyll content based on deep learning and hyperspectral remote sensing
    Mengdie Leng, Yang Liu, Bing Li, Yinchao Che, Haikuan Feng, Meiyan Shu, Xin Xu, Hongbo Qiao, Jibo Yue · 2025 · International Journal of Remote Sensing
  36. Assessing Knowledge, Uptake and Factors associated with cervical cancer screening among women in selected communities of Wakiso district in Uganda: A population-based study
    Robert Bulamba, Emmanuel Kyasanku, Fred Kakaire Nalugoda, Alex Daama, James Menya Nkale, Amanda P. Miller, William Byansi, Juliana Namutundu, Godfrey Kigozi, Grace Kigozi Nalwoga et al. · 2025 · PLoS ONE
  37. Comparative optimization of crumb rubber-modified asphalt mixtures: Experimental and artificial intelligence framework
    Mohamed Ragab, Islam Abo El-Naga, Mostafa M. Arnaout · 2025 · Construction and Building Materials
  38. Hybrid data-driven and process-based modeling for streamflow forecasting: comparative uncertainty analysis in the upper Baro watershed
    Yonata Belina, Asfaw Kebede, Muthoni Masinde · 2025 · Stochastic Environmental Research and Risk Assessment
  39. Ensemble deep learning towards high-resolution soil-moisture mapping for enhanced water management in California's Central Valley
    Ali Azedou, Aouatif Amine, Saïd Lahssini, Gordon Osterman, Mauricio Arboleda‐Zapata, Michael H. Cosh, Isaya Kisekka · 2025 · Environmental Modelling & Software
  40. AI-driven analysis of ESG-linked financial determinants for sustainable growth in Thailand: A hybrid SEM framework
    Valida Phalalum, Kalyaporn Panmarerng · 2026 · Journal of Open Innovation Technology Market and Complexity
  41. Sustainability reporting and corporate financial performance: Moderating effect of financial slack resource
    Francis Ameyaw, Suresh Ramakrishnan, Jerome Jayamana · 2023 · International Journal of Academic Research in Accounting Finance and Management Sciences
  42. Effect of Increasing Sample Size on Multi-Collinearity in Multilevel Non-Linear Model
    Samuel Babajide Atoyebi, T. O. Obilade · 2024 · Asian Journal of Probability and Statistics
  43. A Machine Learning Approach to Well-Being in Late Childhood and Early Adolescence: The Children’s Worlds Data Case
    Mònica González‐Carrasco, Silvana Vanesa Aciar, Ferrán Casas, Xavier Oriol, Ramón Fabregat, Sara Malo · 2024 · Social Indicators Research
  44. Systematic review of prognostic models for predicting recurrence and survival in patients with treated oropharyngeal cancer
    Janine Dretzke, Ahmad Kamal Abou-Foul, Esther Albon, Bethany Hillier, Katie Scandrett, Malcolm James Price, David J Moore, Hisham Mohamed Mehanna, Paul Nankivell · 2024 · BMJ Open
  45. Effect of abrasive water-jet treatment on surface characteristics and epoxy adhesive bonding performance of carbon steel
    Sanghong Park, Aran Kim, Shigenobu Kainuma, Tatsuya Ikeda, Yusuke Toyota, Takehiko Arakawa · 2025 · Progress in Organic Coatings
  46. Expanding scales: Achieving prediction of van Genuchten model hydraulic parameters in deep profiles by incorporating broad in situ soil information in pedotransfer functions
    Yongping Tong, Yunqiang Wang, Jingxiong Zhou, Xiangyu Guo, Ting Wang, Yuting Xu, Hui Sun, Pingping Zhang, Zimin Li, Ronny Lauerwald · 2025 · Journal of Hydrology
  47. Development of Machine Learning Models for Estimating Metabolizable Protein Supply from Feed in Lactating Dairy Cows
    Mingyung Lee, Dong Hyeon Kim, Seongwon Seo, Luis Orlindo Tedeschi · 2025 · Animals
  48. Beyond total scores: Enhancing psychotherapy outcome prediction with item-level scores.
    Juan Segundo Peña Loray, Miriam Ina Hehlmann, Juan Martín Gómez Penedo, Henning Schöttke, Julian A. Rubel · 2025 · Journal of Consulting and Clinical Psychology
  49. Impact of diabetes mellitus on periapical, periodontal, and oral health and the potential confounders: A cross-sectional study
    Yi-Lun Chung, Mei‐Chi Chang, Yi-Ling Chen, Chi‐Hung Chen, Yi‐Ling Tsai, Shu-Hui Chang, Wan-Chuen Liao, Jiiang‐Huei Jeng · 2025 · Journal of Dentistry
  50. A stochastic DEA-GARMA integration for dynamic forecasting of undesirable outputs applied to the temporal efficiency analysis of water and sewerage services
    Omid Abdolazimi, Mohammad B. Sepehrifar, Davood Shishebori, Ioana Banicescu, Sona Azad, Khodarahm Pishini, Junfeng Ma · 2025 · Journal of Cleaner Production
  51. Visegrad Region Dependency on Mining Industries: Impact of Raw Material Prices on Housing Prices and Investments
    Laima Okunevičiūtė Neverauskienė · 2025 · Acta Montanistica Slovaca
  52. Analysis of Ground Subsidence Vulnerability in Urban Areas Using Spatial Regression Analysis
    Sungyeol Lee, Jae‐Mo Kang, Jinyoung Kim · 2023 · Applied Sciences
  53. Predicting functional impairment in euthymic patients with mood disorder: A 5-year follow-up
    Kyara Rodrigues de Aguiar, Bruno Braga Montezano, Jacson Gabriel Feiten, Devon Watts, Aline Zimerman, Thaíse Campos Mondin, Ricardo Azevedo da Silva, Luciano Dias de Mattos Souza, Flávio Pereira Kapczinski, Taiane de Azevedo Cardoso et al. · 2023 · Psychiatry Research
  54. Mitigating denial of service attacks in fog-based wireless sensor networks using machine learning techniques
    Ademola Philip Abidoye, Ibidun Christiana Obagbuwa, Nureni Ayofe Azeez · 2023 · Journal of Data Information and Management
  55. Efficient Estimation and Validation of Shrinkage Estimators in Big Data Analytics
    Salomi du Plessis, ‎M‎ohammad Arashi, Gaonyalelwe Maribe, Salomon M. Millard · 2023 · Mathematics
  56. Engineering Features from Raw Sensor Data to Analyse Player Movements during Competition
    Valerio Antonini, Alessandra Mileo, Mark Roantree · 2024 · Sensors
  57. Digital students go to campus: did stress and anxiety affect the intention for organization?
    Haryasena Panduwiyasa, Ferdian Surya Wibowo · 2024 · Journal of Education and Learning (EduLearn)
  58. A comprehensive review delineates advancements in retrieving particulate matter utilising satellite aerosol optical depth: Parameter consideration, data processing, models development and future perspectives
    Padimala Shanmuka Sai Kumar, Chandra Sekhar Matli · 2024 · Atmospheric Research
  59. Identifying heterogeneity for increasing the prediction accuracy of machine learning models
    Paavithashnee Ravi Kumar, Majid Khan Majahar Ali, Olayemi Joshua Ibidoja · 2024 · Journal of the Nigerian Society of Physical Sciences
  60. Textbook outcome in liver surgery for intrahepatic cholangiocarcinoma: defining predictors of an optimal postoperative course using machine learning
    Abdullah Altaf, Mujtaba Khalil, Miho Akabane, Zayed Rashid, Jun Kawashima, Shahzaib Zindani, Andrea Ruzzenente, Luca Antonio Aldrighetti, Todd W. Bauer, Hugo P. Marques et al. · 2024 · HPB
  61. Associations between urinary and blood heavy metal exposure and heart failure in elderly adults: Insights from an interpretable machine learning model based on NHANES (2003–2020)
    Yang Yuting, Deng Shan · 2025 · International Journal of Cardiology Cardiovascular Risk and Prevention
  62. Multi‐Input Multi‐Output Modeling of Anthill Clay‐Bonded Sand Mold System Using Artificial Neural Networks: Forward and Reverse Predictions
    N. Prasad Chandran, G. C. Manjunath Patel, Ganesh Ravi Chate, Oğuzhan Der, Chithirai Pon Selvan · 2025 · Engineering Reports
  63. Data-driven prediction of daily Cryptosporidium river concentrations for water resource management: Use of catchment-averaged vs spatially distributed features in a Bagging-XGBoost model
    Alan Smalley, Isabel Douterelo, Michael Chipps, James D. Shucksmith · 2025 · The Science of The Total Environment
  64. Machine learning approach for predicting post-intubation hemodynamic instability (PIHI) index values: towards enhanced perioperative anesthesia quality and safety
    Rigele Te, Bo Zhu, Haobo Ma, Xiuhua Zhang, Shaohui Chen, Yuguang Huang, Geqi Qi · 2024 · BMC Anesthesiology
  65. scPanel: a tool for automatic identification of sparse gene panels for generalizable patient classification using scRNA-seq datasets
    Yi Xie, Jianfei Yang, John F. Ouyang, Enrico G. Petretto · 2024 · Briefings in Bioinformatics
  66. Wood hardness drives nest-site selection in woodpeckers of the humid Chaco
    Facundo G. Di Sallo, Kristina Louise Cockle · 2024 · The Auk
  67. Ensemble species distribution models reveal Javan leopard’s preference for areas with high prey species diversity
    Andhika C. Ariyanto, Tiejun Wang, Andrew K. Skidmore, Anton Ario, Muhammad Ali Imron, Hariyawan Agung Wahyudi · 2024 · Global Ecology and Conservation
  68. Inflated Negative Impacts of Temperature On Global Agricultural Yields Due To Ozone Omission
    Xiang Liu, Hai-Tong Sun, Hai-Kun Wang · 2025 · Earth's Future
  69. Research on predicting the compressive strength of soda residue-based alkali-activated materials under various curing conditions using machine learning approaches
    Xiaoyan Liu, Xinyu Wang, Kai Lyu, Xian Xie, Aihua Liu, Junqing Zuo, Huang Huangfu, Kang Zhou, Surendra P. Shah · 2025 · Construction and Building Materials
  70. Quantitative analysis based on image processing combined with machine learning and deep learning to determine the adulteration in nutmeg powder
    Agustami Sitorus, Suluh Pambudi, Wutthiphong Boodnon, Ravipat Lapcharoensuk · 2025 · Journal of Food Composition and Analysis
  71. Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies
    Roopashri Shetty, Siddhant Gupta, Vansh Mediratta, Shwetha Rai, M. Geetha · 2025 · IEEE Access
  72. A methodological approach for retrieval of ammonium in coastal aquaculture based on remotely sensed imagery and machine learning algorithms
    Androniki Dimoudi, Christos Domenikiotis, Dimitris Klaoudatos, Nikos Neofitou · 2025 · Aquaculture International
  73. Machine learning-driven integration of time-series InSAR and multiple surface factors for landslide identification and susceptibility assessment
    Qianyu Wang, Wen Zhang, Jinglin Li, Ziyang Li, Zhi Luo, Qiang Zhao, Jianbo Jian, Fang Shangguan, Yuanxing Yang, Yangyang Ma et al. · 2025 · International Journal of Digital Earth
  74. Data-driven design of Ni-based catalysts for CO2 methanation using interpretable machine learning
    Lamara Maciel dos Santos, Dulce Maria de Araújo Melo, Rodolfo L.B.A. Medeiros, Ângelo A.S. Oliveira, Willian A. S. Farias, Rebecca A.B.N. Santiago, Renata Martins Braga · 2025 · Molecular Catalysis
  75. NHOC/NHOP as novel biomarkers for predicting lymph node metastasis in NSCLC using PET/CT radiomics and machine learning: a two-center retrospective study
    Qianyi Huang, Junjian Mo, Xuanbang Deng, Yongluo Jiang, Min Hee Yang, Guojie Wang, Xiao Yang, Jie Yu, Wei Fan, Ying Wang · 2025 · European Journal of Nuclear Medicine and Molecular Imaging
  76. Southward to northward shifting trends of monsoonal precipitation and their connections with atmospheric circulations over Pakistan: A comparative study of 1961–1990 and 1991–2020
    Sohail Abbas, Amina Ameer, Fenglin Lv, Tingting Li, Yi Chen, Liang Cao, Siqi Lu, Yasir Latif, Muhammad Waseem Yaseen, Siqi Lu et al. · 2025 · Journal of Hydrology
  77. Harnessing hyperspectral imaging and machine learning to enhance salinity stress detection in canola
    Mahdis Khorram, Saurav Kumar, Rajan K. Shrestha, Qingwu Xue, Andrea Leiva Soto, Santosh Subhash Palmate, Girisha K. Ganjegunte · 2025 · Computers and Electronics in Agriculture
  78. Rethinking Machine Learning Evaluation in Waste Management Research
    Paul Mullane, Colin Fitzpatrick, Eoin Martino Grua · 2025 · Sustainability
  79. Improving the Indian Monsoon Data Assimilation and Analysis regional reanalysis maximum and minimum temperatures over India using machine‐learning techniques
    H. N. Singh, Anumeha Dube, Prashant Kumar Srivastava, Raghavendra Ashrit, John P. George, V. S. Prasad · 2025 · Quarterly Journal of the Royal Meteorological Society
  80. Multi-level determinants of physical activity and sports participation among adults during COVID-19 pandemic: an interpretable machine learning approach
    Kai Zhao, Z H Chen, Qian Huang, Shuting Li, Guangxin Tan, Kai Guo, Lilei Jiang · 2026 · Frontiers in Psychology
  81. Identification of key factors influencing monthly runoff simulation through the integration of deep learning and physically-based hydrological models
    Jiyu Zhang, Yufeng Wang, Liangjie Zhao, Ru Sun, Jiayu Sun, Shufei Wang, Shiqin Xu, Zhe Yang · 2026 · Environmental Modelling & Software
  82. Machine learning-based predictive modeling for solar photovoltaic power forecasting: Analyzing the influence of module temperature
    Nitin Kumar, Rupendra Kumar Pachauri, Piyush Kuchhal, Jai Govind Singh · 2026 · Next Energy
  83. Unraveling the impacts of multidimensional urban influencing factors on daytime and nighttime thermal environments across urban functional zones using SDGSAT-1 data and XGBoost-GeoShapley analysis
    Xiong Yao, Jiahao Zhang, Jintao Yang, Baojian Ye, Zhipeng Zhu · 2026 · Sustainable Cities and Society
  84. Utilizing Machine Learning Techniques in Predicting Job Viability of Information Technology Program Graduates
    Caesar Jude Clemente · 2023 · International Conference on Machine Learning and Applications
  85. Analysis of the Predictors of Mortality from Ischemic Heart Diseases in the Southern Region of Brazil: A Geographic Machine-Learning-Based Study
    Amanda de Carvalho Dutra, Lincoln Luis Silva, Isadora Martins Borba, Amanda Gubert Alves dos Santos, Diogo Pinetti Marquezoni, Matheus Henrique Arruda Beltrame, Rogério do Lago Franco, Ualid Saleh Hatoum, Juliana Harumi Miyoshi, Gustavo Cezar Wagner Leandro et al. · 2024 · Global Heart
  86. Evaluation on nature-connected environment in building embedded landscape: theory, detection, and case design
    Shu Zhong, Jiao Ren · 2024 · Frontiers in Environmental Science
  87. Development of a rapid X-ray fluorescence method for protein determination in soybean grains
    Rachel Ferraz de Camargo, Tiago Rodrigues Tavares, Felipe R. Santos, Hudson Wallace Pereira de Carvalho · 2025 · Food Chemistry
  88. Using similar patients to predict complication in patients with diabetes, hypertension, and lipid disorder: a domain knowledge-infused convolutional neural network approach
    Ronald Wihal Oei, Wynne Hsu, Mong Li Lee, Ngiap Chuan Tan · 2022 · Journal of the American Medical Informatics Association
  89. Deep neural network-based spatial gap-filling of MODIS ice surface temperatures over the Arctic using satellite and reanalysis data
    Suyoung Sim, Lee EunKyung, Minji Seo, Noh-Hun Seong, Daeseong Jeong, Jongho Woo, Kyung‐Soo Han · 2022 · Remote Sensing Letters
  90. Associations Between Mobility Indices and the COVID-19 Pandemic in Thailand
    Pitchaporn Inthisorn, Nattapong Puttanapong · 2022 · Nakhara Journal of Environmental Design and Planning
  91. Predicting the Retroreflectivity Degradation of Thermoplastic Pavement Markings with Genetic Algorithm
    Ipshit Ibne Idris, Momen R. Mousa, Marwa Hassan, Heena Dhasmana · 2022 · Tran-SET Conference: Transportation Consortium of South-Central States (Tran-SET)
  92. Ensemble Methods to Optimize Automated Text Classification in Avatar Therapy
    Alexandre Hudon, Kingsada Phraxayavong, Stéphane Potvin, Alexandre Dumais · 2024 · BioMedInformatics
  93. On building machine learning models for medical dataset with correlated features
    Debismita Nayak, Sai Lakshmi Radhika Tantravahi · 2024 · Computational and Mathematical Biophysics
  94. Assessing the Belt and Road Initiative’s Impact: A Multi-Regression Model Based on Economic Interaction
    Tingsong Wang, Jingyi Xu, Yong Jimmy Jin, Shuaian Wang · 2024 · Sustainability
  95. Plasma Proteomics of Genetic Brain Arteriosclerosis and Dementia Syndrome Identifies Signatures of Fibrosis, Angiogenesis, and Metabolic Alterations
    Jonah N. Keller, Hannah Radabaugh, Nikolaos Karvelas, Stephen Fitzsimons, Scott Treiman, Maria F. Palafox, Lisa McDonnell, Yakeel T. Quiroz, Francisco Javier Lopera, Debarag Banerjee et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
  96. Enablers of new business density: a comparison between developed and developing countries using deep learning and explainable AI
    Paritosh Pramanik, Rabin K. Jana, Indranil Ghosh · 2024 · Benchmarking An International Journal
  97. Prediction of Snatch and Clean and Jerk Performance From Physical Performance Measures in Elite Male Weightlifters
    Ingo Sandau, Kristof Kipp · 2024 · The Journal of Strength and Conditioning Research
  98. POSSIBLE EFFECTS OF UNCERTAINTY FACTORS ON GREEN BOND RETURNS
    Erol KÖYCÜ · 2025 · Pamukkale University Journal of Social Sciences Institute
  99. Analyzing the impact of occupational exposures on male fertility indicators: A machine learning approach
    Hamzeh Mohammadi, Shayan Khoddam, Farideh Golbabaei, Somayeh Farhang Dehghan · 2025 · Reproductive Toxicology
  100. Data-Driven Optimization of Industrial Impact Polypropylene Characterization: Machine Learning Insights
    Randy D. Cunningham, Veronica Patterson, Ebert Cawood, Gideon F. Botes, Evangelia Marantos · 2025 · Journal of Chemical Information and Modeling