SOH and RUL Estimation for Lithium-Ion Batteries Based on Partial Charging Curve Features by Kejun Qian, Yafei Li, Qiheng Zou, Kecai Cao, Zhongpeng Li

“…A hybrid framework combining CatBoost for SOH estimation and particle swarm optimization-support vector regression (PSO-SVR) for RUL estimation is developed. …”
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Application of machine learning algorithm to predict the behavior of stocks marketed in Brazil by Gabriel Donadio Costa, Rogério João Lunkes

“…In order to assist investors in the decision-making process, artificial intelligence tools aim at finding patterns hidden in data and providing useful, timely and accurate information. …”
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GENESIS AND CONCEPTUAL FOUNDATIONS OF MUSLIM LAW by Alona O. Taranovska

“…Attention is drawn to the relevance of scientific knowledge of Islamic religious doctrine in the conditions of modern trends, as a powerful ideological vector of the development of Muslim law, regardless of the inherent conservatism of Islamic society. …”
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Evaluation of mesoporous silica synthesized for green adsorption by modeling via machine learning and mass transfer by Minge Yang, Qiqing Yue, Junyi He

“…Our objective was to develop predictive models for C using three distinct base models: decision tree (DT), support vector regression (SVR), and Gaussian process regression (GPR). …”
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An Enhanced Retrieval Scheme for a Large Language Model with a Joint Strategy of Probabilistic Relevance and Semantic Association in the Vertical Domain by Qi Chen, Weifeng Zhou, Jian Cheng, Ji Yang

“…To solve these problems, in this study, an enhanced retrieval scheme for LLM processing was developed, named the BM-RAGAM (BM25 retrieval-augmented generation attention mechanism), by constructing a vectorized knowledge base, utilizing a hybrid joint retrieval strategy of keyword matching through searching and a semantic-enhanced association with an attention mechanism and taking ocean-front- and eddy-related knowledge in oceanography as an example. …”
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Correlation Analysis of External Environment Risk Factors for High-Speed Railway Derailment Based on Unstructured Data by Haixing Wang, Yuanlanduo Tian, Hong Yin

“…Based on the data on unsafe events, this paper utilizes big data processing technology, conducts association rules mining and association degree analysis, extracts the word segmentation, and obtains the feature vector of unsafe fault event data. …”
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Flexible Visible Spectral Sensing for Chilling Injuries in Mango Storage by Longgang Ma, Zhengzhong Wan, Zhencan Yang, Xunjun Chen, Ruihua Zhang, Maoyuan Yin, Xinqing Xiao

“…After Z-Score standardization processing, the prediction accuracy of the SVM (Support Vector Machine) model reached 95.5%. …”
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Very high frequency radio receiver preselector design by E. V. Gurov, S. U. Uvaysov, V. V. Chernoverskaya, R. M. Uvaysov

“…Experimental results were obtained by prototype implementation and measurement with a vector network analyzer. The purpose of the work is to ensure the required preselector characteristics in the design process based on computer simulation.Results. …”
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An Effective and Fast Model for Characterization of Cardiac Arrhythmia and Congestive Heart Failure by Salim Lahmiri, Stelios Bekiros

“…The latter achieved highest accuracy under ten-fold cross-validation in comparison to Naïve Bayes (NB) and nonlinear support vector machine (SVM). The kNN yielded 97% accuracy, 99% sensitivity, 90% specificity and 0.63 s processing time when classifying ARR against NS, and it yielded 99% accuracy, 99.7% sensitivity, and 99.2% specificity, and 0.27 seconds processing time when classifying HCF against NS. …”
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Quantitative estimation method for complex part surface defects based on multimodal information fusion by Rui Wang, Wei Du, Qingchao Jiang

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A Two-Stage Bayesian Receiver for Massive Grant-Free OFDM-NOMA With Interfering Pilot Symbols by Fakher Sagheer, Frederic Lehmann, Antoine O. Berthet

“…It employs a multiple measurement vector (MMV) model to handle the common support shared by the multi-antenna channel impulse responses of each user. …”
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Artificial Neural Network Approach for Predicting Enzymatic Hydrolysis of Steam Exploded Pine Wood Chip in Mild Alkaline Pretreatment by Hyeon Cheol Kim, Si Young Ha, Jae-Kyung Yang

“…The artificial neural network (ANN) model demonstrated the highest level of accuracy among the models evaluated, including random forest, support vector machine, and extreme gradient boosting. It attained a coefficient of determination (R²) of 0.9805. …”
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RETRACTED: Exploring the Effects of Economic Complexity and the Transition to a Clean Energy Pattern on Ecological Footprint From the Indian Perspective by Xiaowen Wan, Atif Jahanger, Muhammad Usman, Muhammad Usman, Magdalena Radulescu, Magdalena Radulescu, Daniel Balsalobre-Lorente, Daniel Balsalobre-Lorente, Yang Yu, Yang Yu

“…The autoregressive distributed lag (ARDL) is applied to measure the long-run elasticity, while the vector error correction model (VECM) is applied to classify the causal path. …”
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Machine Learning‐Driven Surrogate Modeling for Optimization of Triboelectric Nanogenerator Design Parameters by Mohammad Abrar Uddin, Myeongju Lim, Rubiga Kim, Barrett London Burgess, Ken Roberts, Junghyun Kim, Taeil Kim

“…However, their energy output is dependent on process parameters and should be optimized to maximize performance. …”
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Impact wear behavior of austenitic steel bucket teeth based on machine learning by Zhihui Cai, Jianfeng Yan, Yandong Qiao, Rongjie Li, Yanchun Shi, Junping Zhang, Zhixiong Zhang

“…A particle swarm optimization support vector machine was employed to accurately predict wear depth. …”
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Performance Predictions of Solar-Assisted Heat Pumps: Methodological Approach and Comparison Between Various Artificial Intelligence Methods by Minghui Ma, Oguzhan Pektezel, Vincenzo Ballerini, Paolo Valdiserri, Eugenia Rossi di Schio

“…This process is inherently complex and presents significant challenges. …”
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Review of Icing Prediction Model and Algorithm for Overhead Transmission Lines Considering Time Cumulative Effects by Chuanqi WANG, Liwen WU, Zhibin DENG, Weifeng DENG, Bin YANG

“…Secondly, the combination and intercrossing mode of support vector machine, hybrid swarm intelligence optimization algorithm, genetic algorithm in the model focus on the identification and modeling of icing process. …”
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Extracellular Vesicles Mediate Epimastigogenesis in <i>Trypanosoma cruzi</i>: Strain-Specific Dynamics and Temperature-Dependent Differentiation by Abel Sana, Izadora Volpato Rossi, Bruna Sabatke, Marcel Ivan Ramirez

“…<i>Trypanosoma cruzi</i>, the causative agent of Chagas disease, undergoes epimastigogenesis—a critical differentiation step in which trypomastigotes transform into epimastigotes. While this process is essential for the parasite’s survival in its insect vector, the molecular mechanisms regulating it remain poorly understood. …”
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Research on Pedestrian and Cyclist Classification Method Based on Micro-Doppler Effect by Xinyu Chen, Xiao Luo, Zeyu Xie, Defang Zhao, Zhen Zheng, Xiaodong Sun

“…Herein, wavelet threshold processing, short-time Fourier transform, and periodogram methods are employed to process radar echo data. …”
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A Hybrid Approach for Target Discrimination in Remote Sensing: Combining YOLO and CNN-Based Classifiers by Jamesson Lira Silva, Fabiano da Cruz Nogueira, Douglas Damião de Carvalho, Elcio Hideiti Shiguemori, Angelo Passaro

“…The attributes obtained from the CNNs were used as input for three classification algorithms: multilayer perceptron (MLP), logistic regression, and support vector machine (SVM), thereby completing the target discrimination process. …”
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