A systematic review on AI based class imbalance handling in software defect prediction by Somya R. Goyal

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Predicting ablation-assisted nanosecond laser fabrication of glass optical diffusers by machine learning by Ryoma Kawaoto, Tomotaro Namba, Yukiyoshi Ohtsuki, Feng Yan, Takashi Nakajima

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Kriging Metamodeling in Rotordynamics: Application for Predicting Critical Speeds and Vibrations of a Flexible Rotor by J.-J. Sinou, L. Nechak, S. Besset

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Prediction of Rice Chlorophyll Index (CHI) Using Nighttime Multi-Source Spectral Data by Cong Liu, Lin Wang, Xuetong Fu, Junzhe Zhang, Ran Wang, Xiaofeng Wang, Nan Chai, Longfeng Guan, Qingshan Chen, Zhongchen Zhang

“…This study aimed to explore the feasibility of predicting rice canopy CHI using nighttime multi-source spectral data combined with machine learning models. …”
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Predicting the Adsorption Efficiency Using Machine Learning Framework on a Carbon-Activated Nanomaterial by Kalapala Prasad, V. Ravi Kumar, R. Suresh Kumar, A. S. Rajesh, Anjani Kumar Rai, Essam A. Al-Ammar, Saikh Mohammad Wabaidur, Amjad Iqbal, Dawit Kefyalew

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Predicting Species Distribution and Conserving Rosewood Tree Under Global Climate Change Scenarios by Paulo Vinícius da Silva Santos, Manuel de Jesus Vieira Lima Junior, Samuel Freitas de Souza, Jennifer Souza Tomaz, Caroline de Souza Bezerra, Maria Teresa Gomes Lopes

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Predicting the Mesiodistal Crown Dimensions of the Permanent First Molars from the Deciduous Second Molars by Dunia Ahmed Al-Dulaimy, Mohammed Nahidh, Mohammed Rafid A. Al-Khannaq

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Advancements in one-dimensional protein structure prediction using machine learning and deep learning by Wafa Alanazi, Di Meng, Gianluca Pollastri

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Predicted vs. Observed Prosthesis–Patient Mismatch After Surgical Aortic Valve Replacement by Giorgia Cibin, Augusto D’Onofrio, Giulia Lorenzoni, Valentina Lombardi, Emma Bergonzoni, Assunta Fabozzo, Irene Cao, Andrea Francavilla, Chiara Tessari, Dario Gregori, Gino Gerosa

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Deep Learning Approach Predicts Longitudinal Retinal Nerve Fiber Layer Thickness Changes by Jalil Jalili, Evan Walker, Christopher Bowd, Akram Belghith, Michael H. Goldbaum, Massimo A. Fazio, Christopher A. Girkin, Carlos Gustavo De Moraes, Jeffrey M. Liebmann, Robert N. Weinreb, Linda M. Zangwill, Mark Christopher

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MELD score predicts outcomes in patients with advanced heart failure: A longitudinal evaluation by Francesco Curcio, Cristiano Amarelli, Rosaria Chiappetti, Irene Mattucci, Veronica Flocco, Mahmoud Issa Rammal, Ciro Abete, Francesca Mazzella, Ciro Maiello, Pasquale Abete, Francesco Cacciatore

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Artificial intelligence-enhanced solubility predictions of greenhouse gases in ionic liquids: A review by Bilal Kazmi, Syed Ali Ammar Taqvi, Dagmar Juchelkov, Guoxuan Li, Salman Raza Naqvi

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Anoikis-related gene signature associates with the immune infiltration and predicts the prognosis of glioma patients by Jianghua Lin, Junbao Wang, Junmiao Zhao, Xinyi Wu, Leiyu Hao, Xiao Tan, Lixue Yang, Lei-Lei Wu, Yuyang Xia, Xiaoling Zhang, Kaijun Zhao, Yu'e Liu

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Optimal design and performance prediction of stepped honeycomb labyrinth seal using CFD and ANN by Geunseo Park, Min Seok Hur, Tong Seop Kim

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A New Dual-Mode GEP Prediction Algorithm Based on Irregularity and Similar Period by Lei Yang, Zexin Xu, Rui Xu, Jianfan Lu, Zhenlin Xu, Kangshun Li

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Pre-surgery Factors to Predict Mortality and Major Complications in Coronary Surgery with no Extracorporeal Circulation by Yanier Coll Muñoz, Francisco Javier Vázquez Roche, Dayan García Cuesta, René M. Cabrera Núñez, Claudio R. Pérez Alfonso, Lázaro de la Cruz Avilés

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Heart Disease Prediction Using Ensemble Tree Algorithms: A Supervised Learning Perspective by Enoch Sakyi-Yeboah, Edmund Fosu Agyemang, Vincent Agbenyeavu, Akua Osei-Nkwantabisa, Priscilla Kissi-Appiah, Lateef Moshood, Lawrence Agbota, Ezekiel N. N. Nortey

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The Worker Flow at the Hive Entrance Predicts When Nest Cleaning is Intensified in Stingless Bees by Kedar Devkota, Charles Fernando dos Santos, Alice Borges Ferreira, Júlia Terra Zuch, Binayak Prakash Mishra, Betina Blochtein

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Serumanti-PLA2R antibody predicted treatment outcome in idiopathic membranous nephropathy by Zhang Xue-qin, Jiang Hong, Yang Shu-fen, Zhao Hong-juan, Lu Chen

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Predicting grain boundary segregation in magnesium alloys: An atomistically informed machine learning approach by Zhuocheng Xie, Achraf Atila, Julien Guénolé, Sandra Korte-Kerzel, Talal Al-Samman, Ulrich Kerzel

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