Advancement in Graph Neural Networks for EEG Signal Analysis and Application: A Review by S. M. Atoar Rahman, Md Ibrahim Khalil, Hui Zhou, Yu Guo, Ziyun Ding, Xin Gao, Dingguo Zhang

“…The applications of GNNs are summarized in the domains of emotion detection, epilepsy seizure detection, stroke rehabilitation, Alzheimer’s disease diagnosis, motor imagery detection, neurological disease diagnosis, major depressive disorder, and driving fatigue detection. …”
Get full text

Imprints of vibratory signals induced by road construction in strain and seismic records: A case study of Yichang station by Xiaolin Yang

“…With the goal of uncovering the impact on the records of the water-tube tiltmeters, vertical pendulums, extensometers, and seismometer, we analyzed the signatures of this disturbance using the signal processing method. The study produced several important results: In particular, the water-tube tiltmeters were more capable of detecting the vibratory disturbances than the vertical pendulums and extensometers, and the main feature of the disturbances was dominated by high-frequency tremors. …”
Get full text

Online Analysis of Nonlinear Vibration Characteristics of Milling Chatter by WU Shi, WANG Yang-yang, LIU Xian-li, XU Hong, LI Ｒong-yi

“…The characteristics of phase difference and chaotic characteristics can be used as an effective method for the identification of chatter.…”
Get full text

Predictive analysis of heart disease using quantum-assisted machine learning by Mehroush Banday, Sherin Zafar, Parul Agarwal, M. Afshar Alam, Siddhartha Sankar Biswas, Imran Hussain, K. M. Abubeker

“…Techniques for QML have the potential to forecast cardiac disease and help in early detection. …”
Get full text

Investigating Safe and Economic Adjustment of Power Balance in Smart Grids Based on Integration of Renewable Energy by Hongyan Zhang

“…We will provide management solutions tailored to each detected issue, along with the suggested cures for any recognized concerns. …”
Get full text

CRITIC-Based Vertical Collusion Control Quality Prediction Based on the Coupling and Coordination Degrees of Socioenvironmental and Public-Investment Bidding Systems in China by Chongsen Ma, Yun Chen, Liang Ou, Kangyang Jiang

“…The criteria importance through intercriteria correlation method was used to quantify these degrees. To smooth out periods of missing data, the autoregressive integrated moving average model was employed, and the first-order, one-variable, time-series forecasting method was then used to project the trend to 2025. …”
Get full text

A two-year wastewater-based surveillance of SARS-CoV-2 trends within the Tshwane region, South Africa by Miss Gugulethu Dhlamini, Doctor David-Noel Nogbou, Doctor John Y Bolukaoto, Miss Prudence F Ndzinisa, Proffesor Maphoshane Nchabeleng, Doctor Andrew M Musyoki

“…Introduction: Wastewater-Based epidemiology uses biological and chemical indicators for detection of infectious pathogens. This surveillance strategy forecast information on the presence, distribution, or the resurgence of diseases in countries with centralize sewage infrastructure. …”
Get full text

Prediction and diagnosis of cardiovascular disease using cloud and machine learning design by K. Babu, A. Gokula Chandar, S. Kannadhasan

“…This is done to improve the process of forecasting patients’ health information. Detecting and categorising cardiac illness can be accomplished through the application of two distinct kinds of machine learning techniques. …”
Get full text

Tongue-coating microbiota as a predictive biomarker of washed microbiota transplantation efficacy in pediatric autism: integration with clinical features by Hao-Jie Zhong, Zhao-Yu Pan, Yao-Fei Wei, Qian Yu, Lei Wu, Hong Wei, Xing-Xiang He

“…Predictive models were also developed based on pre-treatment tongue-coating microbiota and clinical features to forecast WMT outcomes. Results Significant alterations were detected in the tongue-coating microbiota of children with ASD, with several bacterial species showing associations with ASD symptoms and gut microbiota composition. …”
Get full text

PREDICTION OF LOCALIZED INFLAMMATORY PERIODONTAL TISSUE DISEASES IN YOUNG PERSONS by O.V. Kholodnyak

“…However, the issue of forecasting, prevention and treatment of periodontal tissue diseases by the action of local damaging factors has not been sufficiently studied. …”
Get full text

Using online public animal price data as a signal for predicting an increase in animal disease outbreak reports: a pilot study on cross-correlation modeling in Thailand by Veerasak Punyapornwithaya, Supitchaya Srisawang, Chalita Jainonthee, Wengui Li, Ronello Abila, Bolortuya Purevsuren

“…The findings specifically support the use of cattle price data as an early signal for forecasting increases in FMD outbreak reports in Thailand. …”
Get full text

Association between male (in)fertility and telomeric dysfunction: a systematic review and meta-analysis by Sunny Kumar Jignesh Kumar Patel, Amit Roy Chowdhury, Sujata Kar, Purna Chandra Mohapatra, Birendranath Banerjee

“…With the evolving an advancing scientific knowledge, STL might be adopted as a novel biomarker for detecting sperm quality, male (in)fertility, and forecasting embryonic development in the near future. …”
Get full text

The Vascular Architecture of Macular Neovascularization in Age-Related Macular Degeneration as a Predictor of Therapy Requirements: A 3-Year Longitudinal Analysis by Michael Grün, Kai Rothaus, Martin Ziegler, Clemens Lange, Albrecht Lommatzsch, Henrik Faatz

“…MNVs detected using OCTA were subjected to quantitative vascular analysis of their area, total vascular length (sumL), fractal dimension (FD), and flow density. …”
Get full text

Global trends and health workforce analysis of breast cancer burden from high red meat consumption 1990–2050 using machine learning approach by Yuzhou Cai, Jingxian Qian

“…The evolving relationship between healthcare workforce and disease burden highlights shifting dynamics from detection-driven increases to prevention-focused reductions. …”
Get full text

Network Packet Sniffer: A Case Study of Kabale University. by Mugarurebye, Shawn, Gumoshabe, Rebecca

“…Furthermore, we figure out some open issues based on our investigation and forecast future research directions.…”
Get full text

Predicting tennis match outcomes mid-game using machine learning on psychological and physical data by Boyuan Li, Zihui Deng, Gaurav Gupta, Jinger Li, Yixuan Miao

“…The data source is from Wimbledon and US Open games from 2017 to 2022, a total of 1592 games, and utilize 363 games of 2023 to evaluate their forecasting ability. We first obtained weights through information entropy and defined psychological momentum, and then 3 best classifiers, random forest, CatBoost, and Logistic Regression, were detected to assess the features. …”
Get full text

Analysis of the height difference of the zero isotherm according to two temperature profilers by E. A. Bolelov, O. V. Vasiliev, K. I. Galaeva, S. A. Ziabkin

“…One of the main indicators characterizing the quality of meteorological support of flights is the justifiability of aviation weather forecasts and forecasts of dangerous weather phenomena. …”
Get full text

Multiclass Supervised Learning Approach for SAR-COV2 Severity and Scope Prediction: SC2SSP Framework by Shaik Khasim Saheb, B. Narayanan, T.V. Narayana Rao

“…The performance metrics like accuracy, precision, fscore and sensitivity are analyzing the proposed method performance. The proposed SC2SSP approach attains 3.101% and 7.12% higher accuracy; 24.13% and 13.04% higher precision compared with existing methods, like the Detection of COVID-19 from Chest X-ray Images Using Convolutional Neural Networks (Resnet50), Deep learning for automated recognition of covid-19 from chest X-ray images (VGGNet), respectively. …”
Get full text

Scenario-based validation and prediction of land use changes in Birjand watershed in 1404 by Elham Yusefiroobiat, Fatemeh Jahanishakib

“…Introduction: Nowadays, detection and modeling land use changes using satellite imagery is a useful tool for understanding future environmental changes associated with human activities. …”
Get full text

Improved convolutional neural network for precise exercise posture recognition and intelligent health indicator prediction by He Chen, Rongchang Fan

“…We propose a multi-scale feature fusion architecture incorporating spatiotemporal attention mechanisms to enhance key point detection precision while maintaining computational efficiency. …”
Get full text