Integrating Multisource Geographic Big Data to Delineate Urban Growth Boundary: A Case Study of Changsha by Xing Gao, Nan Xia, Sudan Zhuang, Xin Zhao, Jiale Liang, Ziyu Wang, Manchun Li

Get full text

Technology for Improving the Accuracy of Predicting the Position and Speed of Human Movement Based on Machine Learning Models by Artem Obukhov, Denis Dedov, Andrey Volkov, Maksim Rybachok

Get full text

Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives by Simarjeet Kaur, Jimmy Singla, Lewis Nkenyereye, Sudan Jha, Deepak Prashar, Gyanendra Prasad Joshi, Shaker El-Sappagh, Md. Saiful Islam, S. M. Riazul Islam

“…Disease diagnoses could be sometimes very easy tasks, while others may be a bit trickier. There are large data sets available; however, there is a limitation of tools that can accurately determine the patterns and make predictions. …”
Get full text

A Reinforcement Learning Approach Combined With Scope Loss Function for Crime Prediction on Twitter (X) by Liu Yang, Jiang Guofan, Zhang Yixin, Wei Qianze, Zhang Jian, Roohallah Alizadehsani, Pawel Plawiak

“…This paper introduces an innovative methodology that uses social media sentiment analysis to predict criminal activities. One major challenge in sentiment analysis is the uneven distribution of sentiment classes, where traditional models often fail to accurately classify instances of the minority class due to the overwhelming presence of majority class data. …”
Get full text

Analysis of the Predictors of Mortality from Ischemic Heart Diseases in the Southern Region of Brazil: A Geographic Machine-Learning-Based Study by 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, Marcos Rogério Bitencourt, Oscar Kenji Nihei, João Ricardo Nickenig Vissoci, Luciano de Andrade

“…Objective: To analyze the predictability of IHD mortality using machine learning (ML) techniques in combination with geospatial analysis in southern Brazil. …”
Get full text

Urban Architectural Color Evaluation: A Cognitive Framework Combining Machine Learning and Human Perception by Xu Li, Jianan Qin, Yixiang Long

“…It combines machine learning techniques and perception scales, utilizing both objective and subjective data. …”
Get full text

Efficient 3D convolutional neural networks for Sentinel-2 land cover classification with limited ground truth data by Gabriel A. Carneiro, Jan Svoboda, António Cunha, Joaquim J. Sousa, Přemysl Štych

“…This paper focuses on an innovative application of deep learning (DL) techniques, particularly 3D convolutional neural networks (CNNs), for land cover classification using multispectral Sentinel-2 (S-2) data. …”
Get full text

Interpretable machine learning insights into the association between PFAS exposure and diabetes mellitus by Cui Wang, Xinping Xu, Shuai Luo, Man Luo, Sha Li, Jianhong Si

“…Methods: We analyzed data from 10471 participants in National Health and Nutrition Examination Survey (NHANES, 2003–2018). …”
Get full text

Machine learning-based detoxification enzymes-related genes prognosis model in breast cancer: immune landscape and clinical significance by Jingdi Zhang, Wendi Zhan, Haihong Hu, Hongxia Zhu, Bo Hao, Siyu Wang, Zhuo Li, Zhiming Zhang, Taolan Zhang

“…Lasso cox regression analysis and univariate and multivariate Cox analysis were used to process the data, and machine learning algorithm was used to construct breast cancer prognosis model. …”
Get full text

BLE Signal Processing and Machine Learning for Indoor Behavior Classification by Yi-Shiun Lee, Yong-Yi Fanjiang, Chi-Huang Hung, Yung-Shiang Huang

“…Key optimizations include: (1) a vertically mounted Data Collection Unit (DCU) for improved height positioning, (2) synchronized data collection to reduce discrepancies, (3) Kalman filtering to smooth RSSI signals, and (4) AI-based RSSI analysis for enhanced behavior recognition. …”
Get full text

Improved Cd Detection in Rice Grain Using LIBS with Husk-Based XGBoost Transfer Learning by Weiping Xie, Jiang Xu, Lin Huang, Yuan Xu, Qi Wan, Yangfan Chen, Mingyin Yao

“…By pre-training on rice husk source data, the XGBoost-based transfer learning model can learn from the abundant information available in rice husk to improve Cd quantification in rice grain. …”
Get full text

Research on emulsion concentration detection technology based on interpretable machine learning methods by Jiaxu Kang, Jianwei Li, Meng Wang, Xinwei Guo, Dinghao Liu, Chao Qu, Chengbin Guo

“…Validation on training and test datasets demonstrated that the RF model outperformed others, achieving the lowest MSE (0.115), MAE (0.08), RMSE (0.339), MRE (0.011), and MAPE (1.164), along with the highest R² (0.981). Taylor diagram analysis further confirmed the RF model’s superior alignment with observational data. …”
Get full text

MSThunder: A deep learning-based nontargeted analytical framework for the accurate and rapid identification of unknown organic pollutants in water by Quanzhen Liu, Pan Chen, Qingwei Bu, Yize Sun, Zhengchao Chen, Xiong Xu, Donghong Wang

Get full text

Predicting Olympic Medal Performance for 2028: Machine Learning Models and the Impact of Host and Coaching Effects by Zhenkai Zhang, Tengfei Ma, Yunpeng Yao, Ningjia Xu, Yujie Gao, Wanwan Xia

“…This study develops two machine learning models to predict the medal performance of countries at the 2028 Olympic Games while systematically analyzing and quantifying the impacts of the host effect and exceptional coaching on medal gains. …”
Get full text

Perceived Individual Team Member Value Creation in In-Class Permanent Teams. Analysis of evidence from individual peer reviews in a Team-Lecture Hybrid instructional strategy. by David Tataw

Get full text

Perceived Individual Team Member Value Creation in In-Class Permanent Teams. Analysis of evidence from individual peer reviews in a Team-Lecture Hybrid instructional strategy. by David Tataw

Get full text

Perceived Individual Team Member Value Creation in In-Class Permanent Teams. Analysis of evidence from individual peer reviews in a Team-Lecture Hybrid instructional strategy. by David Tataw

Get full text

Determination of Investment Success and its Factors for Russian Cinema at the Box Office Using Machine Learning by A. V. Dozhdikov

“…The purpose  of  the  study  is  to determine the possibility of forecasting the cash fees of  the  film  project  at  an  early stage  in  the  production  of films, which is especially important due to withdrawal of foreign distributors from the Russian market. The analysis was carried out on data for the entire population (N = 1400) of Russian national films that were released from the beginning of 2004 to April 2022. …”
Get full text

A Systematic Analysis of Neural Networks, Fuzzy Logic and Genetic Algorithms in Tumor Classification by Ahmed Al-Ashoor, Ferenc Lilik, Szilvia Nagy

Get full text

An Automatic Modulation Recognition Algorithm Based on Time–Frequency Features and Deep Learning with Fading Channels by Xiaoya Zuo, Yuan Yang, Rugui Yao, Ye Fan, Lu Li

“…Taking into account the effects of interference and channel fading, this paper introduces a communication signal modulation recognition algorithm based on deep learning (DL) and time–frequency analysis. This approach employs short-time Fourier transform (STFT) to generate time–frequency diagrams from time-domain signals. …”
Get full text