Exploring T-cell metabolism in tuberculosis: development of a diagnostic model using metabolic genes by Shoupeng Ding, Chunxiao Huang, Jinghua Gao, Chun Bi, Yuyang Zhou, Zihan Cai

“…We identified T-cell-associated metabolic differentially expressed genes (TCM–DEGs) through integrated differential expression analysis and machine learning algorithms (XGBoost, SVM–RFE, and Boruta). …”
Get full text

MEMS and IoT in HAR: Effective Monitoring for the Health of Older People by Luigi Bibbò, Giovanni Angiulli, Filippo Laganà, Danilo Pratticò, Francesco Cotroneo, Fabio La Foresta, Mario Versaci

“…The analysis methods employed include machine learning algorithms to identify movement patterns, statistical analysis to assess the frequency and quality of movements, and data visualization to track changes over time. …”
Get full text

Study on the Method of Vineyard Information Extraction Based on Spectral and Texture Features of GF-6 Satellite Imagery by Xuemei Han, Huichun Ye, Yue Zhang, Chaojia Nie, Fu Wen

“…However, the spectral reflectance similarities between grapevines and other orchard vegetation lead to persistent misclassification and omission errors across various machine learning algorithms. As a perennial vine plant, grapes are cultivated using trellis systems, displaying regular row spacing and distinctive strip-like texture patterns in high-resolution satellite imagery. …”
Get full text

Rapid detection and quantification of Nile Red-stained microplastic particles in sediment samples by Masashi Tsuchiya, Tomo Kitahashi, Yosuke Taira, Hitoshi Saito, Kazumasa Oguri, Ryota Nakajima, Dhugal J. Lindsay, Katsunori Fujikura

“…To estimate the contamination levels and distribution patterns, and develop countermeasures, the amount of MPs must be understood. …”
Get full text

Advanced Hydro-Informatic Modeling Through Feedforward Neural Network, Federated Learning, and Explainable AI for Enhancing Flood Prediction by Shahariar Hossain Mahir, Md Tanjum An Tashrif, Md Ahsan Karim, Dipanjali Kundu, Anichur Rahman, Md. Amir Hamza, Fahmid Al Farid, Abu Saleh Musa Miah, Sarina Mansor

Get full text

ANALYSIS TECHNIQUE REFINEMENT OF SPINDLE HEAD VIBRATION OF MILLING AND DRILLING WOODWORKERS by Valery Anatolyevich Romanov, Alexander Nikolayevich Chukarin, Mikhail Bensionovich Flek

“…On the pattern millers, boring and drilling are performed apart from the customary milling. …”
Get full text

Mathematical model of the tensioning in the collet clamping mechanism with the rotary movable input link on spindle units by Sulym H. T.

“…Increasing machining productivity causes the cutting forces acting on tools or workpieces to grow and requires extra clamping forces for their fixation reliably. …”
Get full text

Enhancing medical image classification via federated learning and pre-trained model by Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, Jana Shafi, Jaeyoung Choi, Muhammad Fazal Ijaz

“…The Convolutional Neural Network (CNN) model with Gray-Level Co-occurrence Matrix (GLCM) and Local Binary Patterns (LBP), along with the EfficientNet model, are being used as the local models. …”
Get full text

Phase Relations in the Pseudo-Binary BiFeO₃–EuFeO₃ System in the Subsolidus Region Derived from X-Ray Diffraction Data—A Machine Learning Approach by Vasile-Adrian Surdu, Romuald Győrgy

“…The analysis of the XRD patterns by machine learning approaches revealed eight defined clusters and four unclustered points. …”
Get full text

Smartphone-Based Sensing System for Identifying Artificially Marbled Beef Using Texture and Color Analysis to Enhance Food Safety by Hong-Dar Lin, Yi-Ting Hsieh, Chou-Hsien Lin

“…A support vector machine (SVM) model classifies the blocks, with the final image classification determined via majority voting. …”
Get full text

Neurophysiological predictors of deep learning based unilateral upper limb motor imagery classification by Justin Sonntag, Lin Yu, Xilu Wang, Thomas Schack

“…Most ipsilateral EEG channels yielded significant correlations with classifier accuracies, especially for the machine learning classifier.DiscussionThis pattern contrasts with previous findings from bilateral MI paradigms, where contralateral alpha and beta activity were more influential. …”
Get full text

Ongoing Dynamics of Peak Alpha Frequency Characterize Hypnotic Induction in Highly Hypnotic-Susceptible Individuals by Mathieu Landry, Jason da Silva Castanheira, Floriane Rousseaux, Pierre Rainville, David Ogez, Karim Jerbi

Get full text

Big Data Deep Learning: Challenges and Perspectives by Xue-Wen Chen, Xiaotong Lin

“…Deep learning is currently an extremely active research area in machine learning and pattern recognition society. …”
Get full text

Identification and attribution analysis of integrated ecological zones based on the XGBoost-SHAP model: A case study of Chengdu, China by Xiaobin Huang, Xiaosheng Liu, Yuanhang Jin, Xue Gao, Youliang Chen

Get full text

The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review by Platon Dimopoulos, Admir Mulita, Andreas Antzoulas, Sylvain Bodard, Vasileios Leivaditis, Ioanna Akrida, Nikolaos Benetatos, Konstantinos Katsanos, Christos-Nikolaos Anagnostopoulos, Francesk Mulita

Get full text

Fault Diagnosis of Rolling Bearing based on Improved HHT Energy Entropy and SVM by Zhou Xiaolong, Jiang Zhenhai, Ma Fenglei

“…Then,the energy entropy of sensitive mode functions serve as input vectors of support vector machine. Finally,by using support vector machine to identify the rolling bearing fault pattern and condition. …”
Get full text

Precision neuropsychology in the area of AI by Astri J. Lundervold

“…The paper outlines the technological evolution from basic computerized testing to sophisticated machine learning applications that could enable clinicians to more accurately detect subtypes of neuropsychological conditions. …”
Get full text

Research on Detection Technology of Wind Turbine Blade AnomalyBased on Audio Data by HU Kaikai, CHEN Yanan, CHEN Gang, SHU Hui, LI Ziyuan

“…By installing a pickup on the wind turbine, analyzing and mining the collected wind turbine audio data, and based on the multi classification machine learning model, it explores a set of audio data feature analysis and pattern recognition methods. …”
Get full text

Large-Scale Cortical Network Analysis and Classification of MI-BCI Tasks Based on Bayesian Nonnegative Matrix Factorization by Shiqi Yu, Bin Mao, Yuanhang Zhou, Yunhong Liu, Chanlin Yi, Fali Li, Dezhong Yao, Peng Xu, X. San Liang, Tao Zhang

Get full text

Comparison of Various Feature Extractors and Classifiers in Wood Defect Detection by Kenan Kiliç, Kazım Kiliç, İbrahim Alper Doğru, Uğur Özcan

“…Features are classified using twelve different machine learning classifiers, primarily tree-based ensemble classifiers. …”
Get full text