Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas by Yue Hu, Xin Cao, Hongyi Chen, Daoying Geng, Kun Lv

“…A total of 7134 features were extracted from the mean amplitude of low-frequency fluctuation (mALFF), mean fractional ALFF, mean percentage amplitude of fluctuation (mPerAF), mean regional homogeneity (mReHo) maps and resting-state functional connectivity (RSFC) matrix. Twelve predictive features were selected through Mann-Whitney U test, correlation analysis and least absolute shrinkage and selection operator method. …”
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Advanced strategies for the efficient optimization and control of industrial compressed air systems by D. Salomone-González

“…Real-time data transmission, powered by big data algorithms, enables continuous analysis to optimize the overall performance of the compressor plant. …”
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Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis by ShinYe Kim, Winson Fu Zun Yang, Zishan Jiwani, Emily Hamm, Shreya Singh

“…Six machine learning algorithms (random forest, k-nearest neighbor, decision tree, naive Bayes, logistic regression, and support vector machine) were applied to predict state-level opioid mortality risk based on linguistic features derived from Linguistic Inquiry and Word Count. …”
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Big Data Analytics: A Tutorial of Some Clustering Techniques by Said Baadel

“…This tutorial focuses on the above-mentioned partitioning algorithms. We hope this paper can be beneficial to students, educational institutions, and any other curious mind trying to learn and understand the k-means clustering algorithm.…”
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Metabolomics and lipidomics of plasma biomarkers for tuberculosis diagnostics using UHPLC-HRMS by Gaofeng Sun, Quan Wang, Xinjie Shan, Maierheba Kuerbanjiang, Ruiying Ma, Wensi Zhou, Lin Sun, Qifeng Li

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Landslide Accumulation Ice-Snow Melting for Thermo-Hydromechanical Coupling and Numerical Simulation by Tongqiang Xiong, Jianlin Li, Lehua Wang, Huafeng Deng, Xiaoliang Xu

“…In this paper, we discussed the phase change coupling algorithm of accumulation bank slope under the action of ice-snow melting. …”
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Deciphering plant transcriptomes: Leveraging machine learning for deeper insights by Bahman Panahi, Rasmieh Hamid, Hossein Mohammad Zadeh Jalaly

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Behavior modeling for a new flexure-based mechanism by Hunger Game Search and physics-guided artificial neural network by Hieu Giang Le, Thanh-Phong Dao, Minh Phung Dang, Thao Nguyen-Trang

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Recent Advances in Flexible and Wearable Gas Sensors Harnessing the Potential of 2D Materials by Azmira Jannat, Md Mehdi Masud Talukder, Zhong Li, Jian Zhen Ou

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Enhanced medical image segmentation using novel level set evolution and efficient optimization by Samad Wali, Adil Jhangeer, Ariana Abdul Rahimzai, Samina Samina, Mudassar Imran

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Determination method for structuring specialists skilled in motor transport in the region by N. N. Yakunin, N. V. Yakunina, O. Yu. Frolov, I. Kh. Khasanov

“…The results of the structural distribution of specialists by levels of education have been determined, the corresponding algorithm has been developed.Discussion and conclusions. …”
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Flood extent mapping in SAR images using semi-supervised approach by Girisha S, Savitha G, Sughosh P

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Adversarial Security Analysis of Cryptographic Protocols for IoD Networks by Snehal Samanth, Prema K. V., Mamatha Balachandra

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A Survey on Deepfake Video Detection by Peipeng Yu, Zhihua Xia, Jianwei Fei, Yujiang Lu

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Case of acute drug-induced hepatitis after halothane anesthesia by I. Yu. Pirogova, Ye. V. Berestova, O. Yu. Bastrikov, Ye. B. Kovaleva, T. P. Petukhova, M. V. Guseva, I. A. Gubina, I. V. Rezepin, S. P. Sinitsyn

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Driving risk assessment under the connected vehicle environment: a CNN-LSTM modeling approach by Yin Zheng, Lei Han, Jiqing Yu, Rongjie Yu

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TerraCraft: City-scale generative procedural modeling with natural languages by Zichen Xi, Zhihao Yao, Jiahui Huang, Zi-Qi Lu, Hongyu Yan, Tai-Jiang Mu, Zhigang Wang, Qun-Ce Xu

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FedDSL: A Novel Client Selection Method to Handle Statistical Heterogeneity in Cross-Silo Federated Learning Using Flower Framework by Vineetha Pais, Santhosha Rao, Balachandra Muniyal

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Prevention of Cardiometabolic Syndrome in Children and Adolescents Using Machine Learning and Noninvasive Factors: The CASPIAN-V Study by Hamid Reza Marateb, Mahsa Mansourian, Amirhossein Koochekian, Mehdi Shirzadi, Shadi Zamani, Marjan Mansourian, Miquel Angel Mañanas, Roya Kelishadi

“…We applied the XGBoost algorithm to analyze key noninvasive variables, including self-rated health, sunlight exposure, screen time, consanguinity, healthy and unhealthy dietary habits, discretionary salt and sugar consumption, birthweight, and birth order, father and mother education, oral hygiene behavior, and family history of dyslipidemia, obesity, hypertension, and diabetes using five-fold cross-validation. …”
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Combining miRNA concentrations and optimized machine-learning techniques: An effort for the tomato storage quality assessment in the agriculture 4.0 framework by Seyed Mohammad Samadi, Keyvan Asefpour Vakilian, Seyed Mohamad Javidan

“…However, the RF, with hyperparameters optimized by the genetic algorithm, was able to improve the R2 values of the prediction of storage temperature and period to 0.96 and 0.89. …”
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