Towards Analysis of Covariance Descriptors via Bures–Wasserstein Distance by Huajun Huang, Yuexin Li, Shu-Chin Lin, Yuyan Yi, Jingyi Zheng

“…Both theoretical and computational aspects of BW distance are investigated, along with algorithms for Fréchet Mean (or barycenter) estimation using BW distance. …”
Get full text

Prediction of Temperature Distribution on an Aircraft Hot-Air Anti-Icing Surface by ROM and Neural Networks by Ziying Chu, Ji Geng, Qian Yang, Xian Yi, Wei Dong

“…The proposed models not only provide faster predictions of anti-icing surface temperature distributions than traditional numerical simulation methods but also ensure acceptable accuracy, which supports the design of aircraft hot-air anti-icing systems based on optimization methods such as genetic algorithms.…”
Get full text

AI-Powered Innovations in Food Safety from Farm to Fork by Binfeng Yin, Gang Tan, Rashid Muhammad, Jun Liu, Junjie Bi

“…AI also works together with blockchain to build an immutable and end-point traceability system. …”
Get full text

The Use of AI in Elementary School Learning: A Systematic Literature Review by Natalina Purba, Desti Pujiati, Partohap Saut Raja Sihombing, Hendra Simanjuntak, Desi Sijabat

“…The findings reveal that AI technologies, such as biosensors, voice recognition systems, and AI-powered platforms, significantly contribute to creating adaptive learning environments and providing real-time feedback, thus supporting personalized and experiential learning. However, the study also highlights challenges such as inadequate infrastructure, teacher competence, and ethical concerns regarding data privacy and algorithmic bias. …”
Get full text

Evaluation and Application of Machine Learning Techniques for Quality Improvement in Metal Product Manufacturing by Katarzyna Antosz, Lucia Knapčíková, Jozef Husár

“…A variety of classification algorithms, including neural networks (NNs), bagged trees (BT), and support vector machines (SVMs), were employed to efficiently analyse and predict defects. …”
Get full text

Parallel Fractal Compression Method for Big Video Data by Shuai Liu, Weiling Bai, Gaocheng Liu, Wenhui Li, Hari M. Srivastava

“…Finally, experimental results show that the proposed method not only improves the quality of the recovered image but also improves the compression speed by compared with existing compression algorithms.…”
Get full text

Smart Buildings and Digital Twin to Monitoring the Efficiency and Wellness of Working Environments: A Case Study on IoT Integration and Data-Driven Management by Giuseppe Piras, Sofia Agostinelli, Francesco Muzi

“…The research aims to develop a system based on the Smart Building and Digital Twin paradigm, focusing on the implementation of various IoT components, the creation of automation flows for energy-efficient lighting, HVAC and indoor air quality control systems, and decision support through real-time data visualization enabled by user interfaces and dashboards integrating the geometric and information model (BIM). The system also aims to provide a tool for both monitoring and simulation/planning/decision support through the processing and development of machine learning (ML) algorithms. …”
Get full text

Smart Charging and V2G: Enhancing a Hybrid Energy Storage System with Intelligent and Bidirectional EV Charging by Thomas Franzelin, Sarah Schwarz, Stephan Rinderknecht

“…The test system not only supports grid integration but also expands the degrees of freedom for testing, enabling flexible and realistic experimental setups. …”
Get full text

Enhanced Underwater Image Restoration and Clarity Optimization Using Advanced Digital Image Processing Techniques by Gopirajan Punniyakotti Varadharajan, Pradeep T., Charan R.

“…From the outcomes of the experiment based on PSNR and SSIM metrics, it is evident that the method presented in this paper has better performance than the traditional algorithms. Also, the presented method if free from training samples, thus allowing the benefits of computationally efficient and real-time processing that machine learning models wouldn't have. …”
Get full text

An Introduction to B-Cell Epitope Mapping and In Silico Epitope Prediction by Lenka Potocnakova, Mangesh Bhide, Lucia Borszekova Pulzova

“…In the last decade, in-depth in silico analysis and categorization of the experimentally identified epitopes stimulated development of algorithms for epitope prediction. Recently, various in silico tools are employed in attempts to predict B-cell epitopes based on sequence and/or structural data. …”
Get full text

Machine learning-based integration reveals reliable biomarkers and potential mechanisms of NASH progression to fibrosis by Jiahui Feng, Zheng Gong, Jialing Yang, Yuting Mo, Fengqian Song

“…We built diagnostic models using 103 machine learning algorithms and validated them with two external datasets. …”
Get full text

Mitigating Bias Due to Race and Gender in Machine Learning Predictions of Traffic Stop Outcomes by Kevin Saville, Derek Berger, Jacob Levman

“…Feature selection employed regularly selects for gender and race as a predictor variable. We also observed correlations between model performance and both race and gender. …”
Get full text

Investigation into the Applications of Artificial Intelligence (AI) in Special Education: A Literature Review by Esraa Hussein, Menatalla Hussein, Maha Al-Hendawi

“…The findings suggest that AI-driven technologies significantly enhance students’ academic performance, communication skills, emotional regulation, and physical mobility by providing tailored interventions that address individual needs. This review also highlights several challenges, including limited access to AI technologies in low-resource settings, the need for more comprehensive teacher training, and ethical concerns related to data privacy and algorithmic bias. …”
Get full text

VQABG: Vietnamese question/answers benchmark generator for field-specific chatbot ground-truth dataset using EMINI (Exact Match wIth Numeric Information) indicator by Anh-Khoa NGO-HO, Khuong-Duy Vo, Anh-Khoi NGO-HO

“…Regarding quality assessment, this is usually performed manually by experts using Human Evaluation (HE) indicators, which is also costly. Therefore, the aim of this study is to propose an algorithmic architecture specifically designed for the Vietnamese language. …”
Get full text

Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces by Zhaojun Sun, Xin Li, Yiming Wu, Qilin Gu, Shiyou Zheng

“…These simulations not only deepen the comprehension but also serve as a foundation for further material optimization and predication and the battery property enhancement. …”
Get full text

Application and prospects of machine learning for rockfalls, landslides and debris flows by Jiazhu WANG, Yongbo TIE, Yongjian BAI, Yanchao GAO, Donghui WANG, Mingzhi ZHANG

“…The current issues and future development directions are also discussed. This study highlights the critical role of classical machine learning algorithms—such as supervised, unsupervised, and reinforcement learning in assessing the susceptibility to landslides and debris flow hazards. …”
Get full text

Highly Robust Synthetic Aperture Radar Target Recognition Method Based on Simulation Data Training by Liping Hu, Canming Yao, Jian Huang, Jinfan Liu, Guanyong Wang

“…Sufficient synthetic aperture radar (SAR) data is the key element in achieving excellent target recognition performance for most deep learning algorithms. It is unrealistic to obtain sufficient SAR data from the actual measurements, so SAR simulation based on electromagnetic scattering modeling has become an effective way to obtain sufficient samples. …”
Get full text

An embedded intelligence engine for driver drowsiness detection by Shirisha Vadlamudi, Ali Ahmadinia

“…Also, few of them are vehicle based. Drowsiness of drivers was detected based on steering wheel movement and lane change patterns. …”
Get full text

Artificial Intelligence-Assisted Selection Strategies in Sheep: Linking Reproductive Traits with Behavioral Indicators by Ebru Emsen, Muzeyyen Kutluca Korkmaz, Bahadir Baran Odevci

“…However, the implementation of such technologies also presents challenges, including the need for high-quality data, a costly infrastructure, and technical expertise that may limit access for small-scale producers. …”
Get full text