Counterfactual explanations of tree based ensemble models for brain disease analysis with structure function coupling by Shaolong Wei, Zhen Gao, Hongcheng Yao, Xiaoyu Qi, Mingliang Wang, Jiashuang Huang

“…Then, we quantify the SC-FC coupling strength of each region and convert it into feature vectors. Subsequently, we select SC-FC coupling features that can reflect disease-related information and trained three tree-based models to analyze the predictive role of these coupling features for diseases. …”
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Comparative analysis of convolutional neural networks and transformer architectures for breast cancer histopathological image classification by Bo Yuan, Yudie Hu, Yan Liang, Yutong Zhu, Lingyu Zhang, Shimin Cai, Rui Peng, Xianbin Wang, Zheng Yang, Jinhui Hu

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Analysis of the Possibility of Using Selected Artificial Intelligence Algorithms for the Assessment of the Microstructure of Vermicular Cast Iron by U. Janiszewska, Ł. Marcjan, S. Gajoch, K. Jaśkowiec, A. Bitka, M. Małysza, D. Wilk-Kołodziejczyk

“…Distinctive image features need to be distinguished in order to detect these places of interest. …”
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Application Of K-Nearest Neighbor Algoritma for Customer Review Sentiment Analysis at Ngeboel Vapestore Shop by Muhammad Aryanda, Ita Arfyanti, Yulindawati Yulindawati

“…Although Logistic Regression achieved higher accuracy (92.6%), it failed to detect negative sentiment. The findings highlight the potential and limitations of K-NN for sentiment analysis in underexplored MSME contexts like vape retail. …”
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Analysis of digital intelligent financial audit system based on improved BiLSTM neural network by Zhu Xincai

“…Therefore, in order to achieve intelligent analysis and processing of audit reports, this study innovatively applies the convolution operation of convolutional neural networks to the forward and backward layers of bidirectional long short-term memory networks, obtaining more accurate feature recognition and prediction results. …”
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CSMA: A Standalone and ImageJ-Compatible Tool for Enhanced Wound Healing Assay Analysis by Tri Thanh Pham, Amina Sagymbayeva, Timur Elebessov, Zhadyra Onzhanova, Ferdinand Molnar

“…Still, existing methods often underperform due to omitting cell detection within the wound area, resulting in biased outcomes. …”
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Real-Time Acoustic Measurement System for Cutting-Tool Analysis During Stainless Steel Machining by Tom Salm, Kourosh Tatar, José Chilo

“…Key innovations include optimized microphone placement, a custom PCB, and real-time data transfer via WiFi to MATLAB for analysis. Using the TreeBagger machine-learning algorithm, the system accurately predicts tool wear, detecting both gradual and abrupt wear patterns. …”
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Reading Shakespeare sonnets: Combining quantitative narrative analysis and predictive modeling - an eye tracking study by Shuwei Xue, Jana Lüdtke, Teresa Sylvester, Arthur M. Jacobs

“…., 2017), the present study analyzed the eye movement behavior of participants reading three of the 154 sonnets as a function of seven lexical features extracted via Quantitative Narrative Analysis (QNA). …”
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Analysis of Voice, Speech, and Language Biomarkers of Parkinson’s Disease Collected in a Mixed Reality Setting by Milosz Dudek, Daria Hemmerling, Marta Kaczmarska, Joanna Stepien, Mateusz Daniol, Marek Wodzinski, Magdalena Wojcik-Pedziwiatr

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DIMENSIONS OF LENIENCY POLICIES IN BRICS: A COMPARATIVE ANALYSIS OF INDIA, SOUTH AFRICA, BRAZIL AND RUSSIA by D. Sharma

“…But it is well known that the enforcement mechanisms of laws against cartels differ from country to country, and yet the striking similarity is that almost all competition authorities face the same uphill task of detecting and busting cartels in a manner that leads to efficient and desired prosecution.This paper focuses on an analysis of the newly introduced leniency regulations in India and the parameters of their effectiveness through a comparative analytical study of BRICS leniency regulations, specifically the experiences shared by South Africa, Brazil and Russia in the application of leniency tools and a marker system. …”
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Bagging Vs. Boosting in Ensemble Machine Learning? An Integrated Application to Fraud Risk Analysis in the Insurance Sector by Ruixing Ming, Osama Mohamad, Nisreen Innab, Mohamed Hanafy

“…Our comprehensive analysis reveals that while not every re-sampling technique improves model performance, all feature selection methods markedly bolster predictive accuracy. …”
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Diagnosis of Bearing Defects based on the Analysis of Vibration Images Using the RKEM SIFT Descriptor Method by Zohreh Hashempour, Hamed Agahi, Azar Mahmoodzadeh

“…This paper proposes a new method for detecting defects in bearings based on a combination of feature extraction algorithms in which a two-dimensional signal is used. …”
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Clinical analysis of antibiotic encephalopathy in continuous ambulatory peritoneal dialysis patients(report of 10 cases) by JIANG Mei-hua, XU You-ping, HAN Zhi-wu, YAO Guo-qian, TAN Hong-mei, SHEN Jun, LI Jing, YANG Fang

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A Differential Biomarker Based on Recurrence Quantification Analysis of EEG Signal and Genetic Algorithm for Epilepsy Diagnosis by Vanithamani Palanisamy, A Ranichitra, Radhamani Ellapparaj

“…Recurrence Quantification Analysis (RQA) is a promising technique for detecting seizures without assuming stationary conditions, accommodating various signal and noise sizes. …”
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Correlation analysis on epidermal growth factor receptor (EGFR) mutations and clinicopathological characteristics in lung adenocarcinomas by Haitao Wang, Changhua Ji, Chengjun Zhou, Hui Li

“…PurposeTo analysis the correlation between EGFR mutations and clinicopathological features in lung adenocarcinomas.Methods139 lung adenocarcinoma cases from the Second Hospital of Shandong University were conducted molecular detection of EGFR mutations. …”
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Lagrangian Coherent Structure Analysis of Terminal Winds: Three-Dimensionality, Intramodel Variations, and Flight Analyses by Brent Knutson, Wenbo Tang, Pak Wai Chan

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The Application Status of Radiomics-Based Machine Learning in Intrahepatic Cholangiocarcinoma: Systematic Review and Meta-Analysis by Lan Xu, Zian Chen, Dan Zhu, Yingjun Wang

“…The C-index, sensitivity (SEN), and specificity (SPC) of the ML model developed using clinical features (CFs) for ICC detection were 0.762 (95% CI 0.728-0.796), 0.72 (95% CI 0.66-0.77), and 0.72 (95% CI 0.66-0.78), respectively, in the validation dataset. …”
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A 20-year research trend analysis of the artificial intelligence on scoliosis using bibliometric methods by Bin Zheng, Zhenqi Zhu, Yan Liang, Chen Guo, Haiying Liu

“…Royal Hospital for Sick Children featured the highest number of publications among all institutions and National University of Singapore featured the highest citations of publications. …”
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Pseudo-Labeling and Time-Series Data Analysis Model for Device Status Diagnostics in Smart Agriculture by Minwoo Jung, Dae-Young Kim

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A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization by Md. Saddam Hossain, Md. Parvez Khandocar, Farzana Akter Riti, Md. Yeakub Ali, Prithbey Raj Dey, S M Jahurul Haque, Amira Metouekel, Atrsaw Asrat Mengistie, Mohammed Bourhia, Farid Khallouki, Khalid S. Almaary

“…Abstract With human guidance, computers now use machine learning (ML) in artificial intelligence (AI) to learn from data, detect trends, and make predictions. Software can adapt and improve with new information. …”
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