Thermal Runaway Warning of Lithium Battery Based on Electronic Nose and Machine Learning Algorithms by Zilong Pu, Miaomiao Yang, Mingzhi Jiao, Duan Zhao, Yu Huo, Zhi Wang

“…For the classification phase, we chose three classification algorithms—MLP (Multilayer Perceptron), ELM (Extreme Learning Machine), and SVM (Support Vector Machine)—and performed a comprehensive comparison of their classification and generalisation abilities using grid search for hyperparameter optimisation and five-fold cross-validation. …”
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Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…To guarantee data consistency and quality, pre-processing methods including linear interpolation and Z-score normalization are used. …”
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Ultrasound super resolution imaging for accurate uterus tumor detection and malignancy prediction by Ashwini Sawant, Sujata Kulkarni, Milind Sawant

“…Ultrasound pictures can be processed using methods including denoising, enhancement, segmentation, and feature extraction to get around these restrictions and boost their quality. …”
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Integrating Food Preference Profiling, Behavior Change Strategies, and Machine Learning for Cardiovascular Disease Prevention in a Personalized Nutrition Digital Health Interventio... by Hana Fitria Navratilova, Anthony David Whetton, Nophar Geifman

“…ResultsThe feature selection process identified 14 food items out of 140 that effectively classify FPPs. …”
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Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection by Mohammad Abrar, Abdu Salam, Ahmed Albugmi, Fahad Al-otaibi, Farhan Amin, Isabel de la Torre, Thania Candelaria Chio Montero, Perla Araceli Arroyo Gala

“…In addition, classification is performed using a Support Vector Machine (SVM) based on features extracted through Multivariate Empirical Mode Function (MEMF) and entropy measures. …”
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Channel equalization in ultraviolet communication based on LSTM-DNN hybrid model by Liwei Zhang

“…These methods include Least Mean Squares (LMS), Recursive Least Squares (RLS), Particle Swarm Optimization (PSO), Support Vector Machine (SVM), and Minimum Mean Squared Error (MMSE). …”
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Intertextuality of the Personosphere as a Factor of Meta-Genre (Clifford Simak “Shakespeare’s Planet”) by Dan Paranyuk, Alyona Tychinina

“…Particular emphasis has been placed on the fact that the evolution of science fiction into a meta-genre format is due to a number of factors, such as the simulative nature of the chronotope of possible and parallel worlds, the change in the anthropological vector of texts, and the involvement of samples of other art forms (intermedial components). …”
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Construction and Application of Feature Recommendation Model for Remote Sensing Interpretation of Rock Strata Based on Knowledge Graph by Liufeng Tao, Qirui Wu, Miao Tian, Zhong Xie, Jianguo Chen, Yueyu Wu, Qinjun Qiu

“…A hybrid information extraction process combining rule-based parsing and a fine-tuned Universal Information Extraction (UIE) model was employed to extract knowledge from unstructured texts. …”
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Accurate Indoor Home Location Classification through Sound Analysis: The 1D-ILQP Approach by Umut Erman, Türker Tuncer, Nura Abdullahi, Sengul Dogan, Erhan Akbal

“…This novel 1D-ILQP plays a central role in the feature extraction process, generating textural features from the acoustic signals. …”
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A Fourfold Bi-Filter and Permuted Bi-Quad-Wrapper Feature Selection Method for Finding Optimal Moments of Multi-Trajectory Transient Records in Transient Analysis by Seyed Alireza Bashiri Mosavi, Omid Khalaf Beigi

“…In the case of wrapper methods, hyperplane-based classifiers (HCs), namely support vector machine (SVM) and twin SVM (TWSVM), play the main role in IWSS and IWSSr tree formation. …”
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Machine Learning Methods for Evaluation of Technical Factors of Spraying in Permanent Plantations by Vjekoslav Tadić, Dorijan Radočaj, Mladen Jurišić

“…The data from the field research were processed using four machine learning models: quantile random forest (QRF), support vector regression with radial basis function kernel (SVR), Bayesian Regularization for Feed-Forward Neural Networks (BRNN), and Ensemble Machine Learning (ENS). …”
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Machine learning-enhanced fully coupled fluid–solid interaction models for proppant dynamics in hydraulic fractures by Dennis Delali Kwesi Wayo, Sonny Irawan, Lei Wang, Leonardo Goliatt

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Contextual Deep Semantic Feature Driven Multi-Types Network Intrusion Detection System for IoT-Edge Networks by Shaho Hassen, Ahmed Abdlrazaq

“…Subsequently, the node’s dynamic features including the node’s address, packet size, transmission behavior, etc., are processed for Word2Vec encoding, followed by a cascaded deep network-based learning and prediction. …”
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Category-Based Sentiment Analysis of Sindhi News Headlines Using Machine Learning, Deep Learning, and Transformer Models by Safdar Ali Soomro, Siti Sophiayati Yuhaniz, Mazhar Ali Dootio, Ghulam Mujtaba, Jawaid Ahmed Siddiqui

“…Despite significant progress in natural language processing (NLP), low-resource languages, particularly Sindhi, remain underexplored due to the lack of computational tools and annotated datasets. …”
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À la croisée du développement de la compétence numérique et de la compétence en langue étrangère : étude préliminaire pour le développement d'un outil ludopédagogique pour les 4-7... by Laurence Schmoll, Joséphine Rémon, Pascale Manoïlov, Anissa Hamza, Élodie Oursel

“…Our research question at this stage deals with the data needed to inform the development of a digital English learning tool for playschool pupils in an iterative improvement process. From a theoretical perspective, we approach this problem through the lens of digital literacy, at the interconnection of three dimensions, namely technological literacy, meaning-making literacy, and interaction literacy. …”
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Precision Inverse Modeling of Highway Pavements Based on Standardized Alignment by Ruifeng Ma, Qing Zhu, Xuming Ge, Xin Jia, Han Hu, Tao Liu

“…This approach involves extracting vector lines from point clouds and applying constraints at pivotal points on highway pavement cross-sections. …”
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Classical and machine learning tools for identifying yellow-seeded Brassica napus by fusion of hyperspectral features by Fan Liu, Fang Wang, Zaiqi Zhang, Liang Cao, Jinran Wu, You-Gan Wang

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Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques by Negin Ashrafi, Armin Abdollahi, Kamiar Alaei, Maryam Pishgar

“…To address class imbalance, the Synthetic Minority Oversampling Technique (SMOTE) was applied within a five-fold cross-validation framework, ensuring a balanced training set while maintaining an unbiased validation process. Six machine learning models, including Support Vector Machine, Logistic Regression, Random Forest, XGBoost, Artificial Neural Network, and AdaBoost, were trained using extensive hyperparameter tuning. …”
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A clinical case of thrombocytopenic purpura in a 13-year-old child by A. Yu. Babko, O. B. Gordeeva, A. V. Dobrotok

“…Raising awareness about the possible development of thrombocytopenic conditions in children will allow a more thorough approach to diagnosis and treatment, as well as determine the vector of observation of such patients after diseases in order to prevent the development of life-threatening bleeding with the progression of thrombocytopenia.Materials and methods. …”
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Influence of sex hormones on DNA content and cystathionine-γ-lyase expression in rat myocardium by A. V. Melnik, N. V. Zaichko, I. L. Chereshnyuk, О. А. Khodakіvskyi, O. А. Haiduk

“…H2S content in heart was evaluated by spectrophotometry. Statistical processing of the obtained results was performed using standard methods by applying the software package MS Excel and Statistica SPSS 10.0 for Windows. …”
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