Comparison of various machine learning regression models based on Human age prediction by Dr.Manaf K Hussein

Get full text

Model of Gait Control in Parkinson’s Disease and Prediction of Robotic Assistance by Clemence Vandamme, Virginie Otlet, Renaud Ronsse, Frederic Crevecoeur

Get full text

Artificial Neural Network Based Model of Photovoltaic Cell by Messaouda Azzouzi, Lakhdar Bessissa, Mona Fouad Moussa, Dumitru Popescu, Catalin Petrescu

Get full text

In vivo electrophysiology recordings and computational modeling can predict octopus arm movement by Nitish Satya Sai Gedela, Ryan D. Radawiec, Sachin Salim, Julianna Richie, Cynthia Chestek, Anne Draelos, Galit Pelled

Get full text

Evaluation of Prediction Performances of Deep Learning Models for the Aerodynamic Characteristics of Flettner Rotors by Seo Janghoon, Park Jung Yoon, Ma Juhwan, Kim Young Bu, Park Dong-Woo

Get full text

Predictive Modeling of Covid-19 Data in the US: Adaptive Phase-Space Approach by Vasilis Z. Marmarelis

Get full text

Predicting obesity at adolescence from an early age in a Dutch observational cohort study: the development and internal validation of a multivariable prediction model by Arjan Henryk Jonathan Huizing, Marieke Welten, Sylvia van der Pal, Yvonne Schönbeck, Pepijn van Empelen, Romy Gaillard, Vincent W.V. Jaddoe, Stef van Buuren

Get full text

Risk factors for infections in patients with lupus nephritis and construction of a prediction model by Liu Ding-lin, Zhang Wen-hao, Hu Hao-fei, Li Ai-ting, Chen Zhi-jin, Zheng Cai-yan, Qin Le-le, Zhang Li, Li Rui-zhao, Ye Zhi-ming

Get full text

A prediction model for guiding tumor microwave ablation surgery based on simulation by Lu Qian, Yamin Yang, Pan Chen, Jia Liu, Xiaofei Jin, Zhiyu Qian, Chunxiao Chen

Get full text

Predictive modeling of response to repetitive transcranial magnetic stimulation in treatment-resistant depression by Lindsay L. Benster, Cory R. Weissman, Federico Suprani, Kamryn Toney, Houtan Afshar, Noah Stapper, Vanessa Tello, Louise Stolz, Mohsen Poorganji, Zafiris J. Daskalakis, Lawrence G. Appelbaum, Jordan N. Kohn

Get full text

Predicting the potential distribution of Taxus cuspidata in northeastern China based on the ensemble model by Baoliang Chang, Chen Huang, Bingming Chen, Ziwen Wang, Xingyuan He, Wei Chen, Yanqing Huang, Yue Zhang, Shuai Yu

Get full text

A Novel Model for Predicting PM2.5 Concentrations Utilizing Graph Convolutional Networks and Transformer by Yuan Huang, Feilong Han, Qimeng Feng

Get full text

Assessment and prediction models for the quantitative and qualitative reserve of the ovary using machine learning by Hiroshi Koike, Miyuki Harada, Kaname Yoshida, Katsuhiko Noda, Chihiro Tsuchida, Toshihiro Fujiwara, Akari Kusamoto, Zixin Xu, Tsurugi Tanaka, Nanoka Sakaguchi, Chisato Kunitomi, Nozomi Takahashi, Yoko Urata, Kenbun Sone, Osamu Wada-Hiraike, Yasushi Hirota, Yutaka Osuga

Get full text

IVIM-DWI-based radiomic model for preoperative prediction of hepatocellular carcinoma differentiation by ZHUANG Yuxiang, LI Xiaofeng, ZHOU Daiquan

Get full text

Optimizing the single-step model for predicting fumonisins resistance in maize hybrids accounting for the genotype-by-environment interaction by Jeniffer Santana Pinto Coelho Evangelista, Jeniffer Santana Pinto Coelho Evangelista, Kaio Olimpo das Graças Dias, Maria Marta Pastina, Saulo Chaves, Lauro José Moreira Guimarães, Jorge Hidalgo, Julian Garcia-Abadillo, Julian Garcia-Abadillo, Reyna Persa, Valéria Aparecida Vieira Queiroz, Dagma Dionísia da Silva, Leonardo Lopes Bhering, Diego Jarquin

Get full text

A Dendritic Neural Network-Based Model for Residential Electricity Consumption Prediction by Ting Jin, Rui Xu, Kunqi Su, Jinrui Gao

“…In this study, a dendritic neural network-based model (DNM), combined with the AdaMax optimization algorithm, is used to predict residential electricity consumption. …”
Get full text

Predicting Dilution in Underground Mines with Stacking Artificial Intelligence Models and Genetic Algorithms by Jorge L. V. Mariz, Tertius S. G. Ferraz, Marinésio P. Lima, Ricardo M. A. Silva, Hyongdoo Jang

“…Furthermore, four stacking models were constructed by aggregating the top-performing base learners, giving rise to ensemble metamodels applied, for the first time, to the task of dilution prediction in underground mining.…”
Get full text

LC-LLM: Explainable lane-change intention and trajectory predictions with Large Language Models by Mingxing Peng, Xusen Guo, Xianda Chen, Kehua Chen, Meixin Zhu, Long Chen, Fei-Yue Wang

Get full text

A Loss Reduction Optimization Method for Distribution Network Based on Combined Power Loss Reduction Strategy by Jihua Xie, Chang Chen, Huan Long

Get full text

Applying machine learning to predict bowel preparation adequacy in elderly patients for colonoscopy: development and validation of a web-based prediction tool by Jianying Liu, Wei Jiang, Yahong Yu, Jiali Gong, Guie Chen, Yuxing Yang, Chao Wang, Dalong Sun, Xuefeng Lu

Get full text