Human Behavior Analysis: A Comprehensive Survey on Techniques, Applications, Challenges, and Future Directions by Siham Essahraui, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui, Mouncef Filali Bouami, Ibrahim Ouahbi, Ahmed A. Abd El-Latif, May Almousa, Joel J. P. C. Rodrigues

Get full text

A negative combined effect of exposure to maternal Mn-Cu-Rb-Fe metal mixtures on gestational anemia, and the mediating role of creatinine in the Guangxi Birth Cohort Study (GBCS):... by Yuen Zhong, Yu Bao, Hong Cheng, Chaoqun Liu, Shengzhu Huang, Hualong Qiu, Honglin Huang, Jiajun Ren, Hailiu Jin, Caitong He, Long Tian, Yu Zhang, Bangzhu Luo, Tao Liang, Mujun Li, Zengnan Mo, Longman Li, Xiaobo Yang

Get full text

Predictive analytics of student performance: Multi-method and code by Alla Yu. Vladova, Katsiaryna M. Borchyk

“…Despite the significant amount of collected diagnostic data, education managers underutilize machine learning methods to improve the accuracy of predicting academic performance. …”
Get full text

An explainable analytical approach to heart attack detection using biomarkers and nature-inspired algorithms by Maithri Bairy, Krishnaraj Chadaga, Niranjana Sampathila, R. Vijaya Arjunan, G. Muralidhar Bairy

Get full text

Degradation prediction of PEM water electrolyzer under constant and start-stop loads based on CNN-LSTM by Boshi Xu, Wenbiao Ma, Wenyan Wu, Yang Wang, Yang Yang, Jun Li, Xun Zhu, Qiang Liao

Get full text

Developing Students’ Statistical Expertise Through Writing in the Age of AI by Laura S. DeLuca, Alex Reinhart, Gordon Weinberg, Michael Laudenbach, Sydney Miller, David West Brown

“…As large language models (LLMs) such as GPT have become more accessible, concerns about their potential effects on students’ learning have grown. …”
Get full text

Prediction of Fractal Dimension in Shale CT and its Robustness to Interference Based on Convolutional Neural Networks by SUN Dingwei, WANG Lei, YANG Dong, HUANG Xudong, JIA Yichao

Get full text

AI-Assisted Plasmonic Coupling Analysis of Spherical Gold Nanoparticles on Substrate by Valeria D. Babaylova, Vladislav S. Tuchin, Nikita S. Petrov, Aleksey V. Kochakov, Anton A. Starovoytov, Igor A. Gladskikh, Daler R. Dadadzhanov

Get full text

AI analysis reveals top predictors of first grade success: Insights from multifactorial screening students’ early days of school by Pedro Bem-Haja, Paulo Nossa, Andreia J. Ferreira, Diogo S. Pereira, Carlos F. Silva

Get full text

Socio-Demographic Factors Influencing Adoption of Digital Technologies in Beekeeping by Karmańska Anna, Ziemba Ewa Wanda, Maruszewska Ewa Wanda, Jarka Sławomir

“…Data were gathered through semi-structured interviews with 30 beekeeping experts and a survey of 949 randomly selected beekeepers. A Random Forest machine learning algorithm was employed to predict digital adoption, and SHAP values were applied to interpret the model’s output. …”
Get full text

IoT-Edge Hybrid Architecture with Cross-Modal Transformer and Federated Manifold Learning for Safety-Critical Gesture Control in Adaptive Mobility Platforms by Xinmin Jin, Jian Teng, Jiaji Chen

Get full text

Unlocking telecommuting patterns before, during, and after the COVID-19 pandemic: An explainable AI-driven study by Adedolapo Ogungbire, Suman Kumar Mitra

“…This study uses an explainable artificial intelligence approach to investigate the changes in those telecommuting across three periods: i) pre-pandemic, ii) pandemic, and iii) post-pandemic periods. Machine learning methods, including decision trees, random forest, extreme gradient boost, naïve Bayes, and artificial neural networks, were developed across the study periods. …”
Get full text

Developing an Explainable Artificial Intelligence System for the Mobile-Based Diagnosis of Febrile Diseases Using Random Forest, LIME, and GPT by Kingsley F. Attai, Constance Amannah, Moses Ekpenyong, Daniel E. Asuquo, Oryina K. Akputu, Okure U. Obot, Peterben C. Ajuga, Jeremiah C. Obi, Omosivie Maduka, Christie Akwaowo, Faith-Michael Uzoka

Get full text

Exploiting the Regularized Greedy Forest Algorithm Through Active Learning for Predicting Student Grades: A Case Study by Maria Tsiakmaki, Georgios Kostopoulos, Sotiris Kotsiantis

“…Student performance prediction is a critical research challenge in the field of educational data mining. To address this issue, various machine learning methods have been employed with significant success, including instance-based algorithms, decision trees, neural networks, and ensemble methods, among others. …”
Get full text

Point-to-Interval Prediction Method for Key Soil Property Contents Utilizing Multi-Source Spectral Data by Shuyan Liu, Dongyan Huang, Lili Fu, Shengxian Wu, Yanlei Xu, Yibing Chen, Qinglai Zhao

Get full text

An explainable Bayesian gated recurrent unit model for multi-step streamflow forecasting by Lizhi Tao, Yueming Nan, Zhichao Cui, Lei Wang, Dong Yang

Get full text

Are Labour Markets Segmented in Developing Economies? A Clustering Approach for Colombian Workers by David Arturo Rodriguez Guerrero, Jorge Eliecer Quintero

Get full text

Quantitative analysis of gait parameters in Parkinson’s disease and the clinical significance by Wenchao Yin, Hong Gao, Beichen Liang, Ruichen Liu, Yue Liu, Chenxin Shen, Xiaohui Niu, Cui Wang

Get full text

Accuracy of Detecting Degrees of Lameness in Individual Dairy Cattle Within a Herd Using Single and Multiple Changes in Behavior and Gait by Xi Kang, Junjie Liang, Qian Li, Gang Liu

Get full text

From Bytes to Insights Through a Bibliometric Journey into AI's Influence on Public Services by POPESCU Ruxandra-Irina, CORBOȘ Răzvan-Andrei, BUNEA Ovidiu-Iulian

“…Keyword clusters highlight seven prominent themes, ranging from digital governance to modelling health and social welfare in pandemics. Future research directions underscore ethical implications, AI adoption across government agencies, effectiveness in addressing urban challenges, machine learning applications in healthcare and education, security and privacy implications, application in diverse contexts, and AI's role in predicting and managing public health emergencies. …”
Get full text