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. …”
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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

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Direction-of-Arrival (DOA) Estimation Based on Real Field Measurements and Modified Linear Regression by Luis Antonio Flores, Ismael Lomas, Lenin Guachalá, Pablo Lupera-Morillo, Robin Álvarez, Ricardo Llugsi

“…This study applied modified linear regression in machine learning (ML) to predict the direction of arrival (DoA) in cellular networks using field measurements and radiofrequency parameters. …”
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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

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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

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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

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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. …”
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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. …”
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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. …”
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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. …”
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A review of recent artificial intelligence for traditional medicine by Chengbin Hou, Yanzhuo Gao, Xinyu Lin, Jinchao Wu, Ning Li, Hairong Lv, William Cheng-Chung Chu

“…Specifically, we investigate how Machine Learning, Deep Learning, and Large Language Models are applied to TM, covering applications such as diagnosis (before, during, after) and research (drug research, structured knowledge, data analysis). …”
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SVMWPE-HLLE Based Fault Diagnosis Approach for Rolling Bearing by Chunhui Li, Youfu Tang, Guolin Xu

“…Fault diagnosis method for rolling bearing was proposed by combining SVMWPE-HLLE with extreme learning machine (ELM), which was applied to two experimental cases of rolling bearings for analysis. …”
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A multi-voter multi-commission nearest neighbor classifier by Suyanto Suyanto, Prasti Eko Yunanto, Tenia Wahyuningrum, Siti Khomsah

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What are the future directions for microplastics characterization? A regex-llama data mining approach for identifying emerging trends by FERNANDO GOMES, SHEKHAR BHANSALI, FABÍOLA MARANHÃO, VIVIANE VALLADÃO, KARINE VELASCO

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Revisiting Information Cascades in Online Social Networks by Michael Sidorov, Ofer Hadar, Dan Vilenchik

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Effectiveness of using a slider-crank mechanism for waffle background milling by I. N. Drozdov, A. Yu. Popov

“…A feature of the technology of milling a regular waffle background pattern is the need for regular repetition of cells, usually rectangular shape. …”
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Emerging artificial intelligence-driven precision therapies in tumor drug resistance: recent advances, opportunities, and challenges by Yuan Mao, Dangang Shangguan, Qi Huang, Ling Xiao, Dongsheng Cao, Hui Zhou, Yi-Kun Wang

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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES by Mariana Yordanova

“…As machine calculation capacity advances, AI's role in radiomics—extracting numerous quantitative features from medical images—could significantly enhance diagnostic accuracy. …”
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Effect of bending load on electrical conductivity of carbon/epoxy composites filled with nanoparticles using design of experiment and artificial neural networks by Ali Sadollah, Seyed Morteza Razavi, Abobakr Khalil Al-Shamiri

“…We examine the distribution pattern of nanoparticles in the samples through scanning electron microscope images. …”
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Activated cancer-associated fibroblasts correlate with poor survival and decreased lymphocyte infiltration in infiltrative type distal cholangiocarcinoma by Dae Hyun Lim, Yung-Kyun Noh, Byoung Kwan Son, Dong-Hoon Kim, Kyueng-Whan Min, Seoung Wan Chae, Hyung Suk Kim, Mi Jung Kwon, Jung Soo Pyo, Yoonhyeong Byun

“…In machine learning-based survival models, aCAFs emerged as a strong discriminator for survival prediction. …”
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