Diagnosis and classification of neuromuscular disorders using Bi-LSTM optimized with grey Wolf optimizer for EMG signals by Ruth Keziah Mani, Balakrishnan Nagaraj

“…Existing approaches range from deep learning techniques such as Long Short-Term Memory (LSTM) and Bidirectional LSTM (Bi-LSTM) to conventional machine learning methods like Support Vector Machines (SVM) and Random Forest. Deep learning automates the process, reducing the dependency on manual feature extraction. …”
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Efficient Dynamic Performance Prediction of Railway Bridges Situated on Small-Radius Reverse Curves by Yumin Song, Bin Hu, Xiaoliang Meng

“…After identifying essential design parameters as data features using Fisher scores, we proceed to input these features into a support vector machine (SVM). Through supervised training with dynamic performance labels, this process empowers the SVM model to predict the dynamic performance of the bridge. …”
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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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Predicting CO2 adsorption in KOH-activated biochar using advanced machine learning techniques by Raouf Hassan, Alireza Baghban

“…We employed a comprehensive suite of machine learning methods, like convolutional neural networks, random forests, artificial neural networks, linear regression, ridge and lasso regressions, elastic net, support vector machines, decision trees, gradient boosting machines, k-nearest neighbors, light gradient boosting machines, extreme gradient boosting, CatBoost, and Gaussian process, to build predictive models. …”
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Optimizing In Vitro Metacyclogenesis: Strain-Specific Variability in <i>Trypanosoma cruzi</i> Responses to Nutritional and pH Stress by Virginia Perdomo, Victoria Boselli, Romina Manarin, Esteban Serra

“…Metacyclogenesis is a critical process in the <i>Trypanosoma cruzi</i> life cycle. …”
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Features of the social beliefs of the Orthodox Church and Christians of the Evangelical Faith by Микола Стадник, Владислав Харченко

“…Social doctrine systematizes and actualizes the role and significance of social beliefs of Christianity, in their essence multi-vector, multi-dimensionality, inte-gration as the main characteristics of the spiritual sphere of the church. …”
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Hybrid algorithms for geospatial analysis of dam location points in protective tasks for protected areas by S. Rodriguez Vasquez, N. V. Mokrova

“…This paper presents the way of optimizing the process of locating key terrain points by developing a hybrid algorithm for geospatial analysis in QGIS. …”
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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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Modeling energy consumption indexes of an industrial cement ball mill for sustainable production by Saeed Chehreh Chelgani, Rasoul Fatahi, Ali Pournazari, Hamid Nasiri

“…However, grinding in tumbling mills is a random process, and a maximum of 5% of this energy would be directly devoted to particle size reduction. …”
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Determination of rice (Oryza sativa L.) drought stress levels based on chlorophyll a fluorescence through independent component analysis by Q. XIA, H. TANG, J.L. TAN, S.I. ALLAKHVERDIEV, Y. GUO

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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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AI-Driven Optimization of Breakwater Design: Predicting Wave Reflection and Structural Dimensions by Mohammed Loukili, Soufiane El Moumni, Kamila Kotrasova

“…Five ML algorithms—Random Forest, Support Vector Regression, Artificial Neural Network, Decision Tree, and Gaussian Process—were applied and evaluated. …”
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Intelligence model-driven multi-stress adaptive reliability enhancement testing technology by Shouqing Huang, Beichen He, Jing Wang, Xiaoyang Li, Rui Kang, Fangyong Li

“…In terms of mathematical models, we propose a Tuna Swarm Optimization–Gaussian Process Regression (TSO-GPR) model, which combines the global search capability of the tuna swarm optimization algorithm and the accurate prediction capability of Gaussian process regression, effectively handling the complex nonlinear relationships between multiple stresses and failure characteristic. …”
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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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Prediction of Early Diagnosis in Ovarian Cancer Patients Using Machine Learning Approaches with Boruta and Advanced Feature Selection by Tuğçe Öznacar, Tunç Güler

“…This research aims to assess the feature extraction process from various machine learning techniques for better modelling of ovarian cancer and the selection process in ovarian cancer analysis. …”
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Mechanism and Stability Analysis of Deformation Failure of a Slope by Yingfa Lu, Gan Liu, Kai Cui, Jie Zheng

“…The critical stress state zone is in the process of dynamic change with the development of deformation. …”
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Design and Application of an Energy Management System Based on Artificial Intelligence Technology by Hongye Lin, Xuanying Bai, Chun Li, Shenghan Xu, Haibin Xu, Zne-Jung Lee, Yun Lin, Qunshan Zhou, Jingxun Cai

“…The system is functionally complete, completing the process from data collection to visualization, the cloud platform’s construction, and finally a full energy management platform. …”
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Modern Problems of Pedagogical Education by A. V. Lubkov

“…Modernisation of education is considered from the perspective of relationships and synthesis of institutional structures, sociocultural context, and axiological foundations of changes and individual-personal component, which determine the vector of progressive evolution of society. To study a complex and nonlinear process of social innovation, the author believes that it is necessary to appeal to metaphysical aspects of human personality, its national, civil and civilisational identity, which is a special resource of development. …”
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Bacterial urocystitis in dogs and cats (classification, pathogenesis, causative agents, treatment, and prevention) by Yu. V. Martyniv

“…Due to the cyclic nature of the pathogenetic process, dogs and cats suffering from secondary infectious urocystitis are classified as terminal patients. …”
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MiR-2284b regulation of α-s1 casein synthesis in mammary epithelial cells of dairy goats by Jinxing Hou, Wenfei Li, Xiaolong Xu, Ao Sun, Ganggang Xu, Zefang Cheng, Haoyuan Zhang, Xiaopeng An

“…Using GMECs (goat mammary epithelial cells) as the research object, the CHECK2 vector of the CSN1S1 gene and the overexpression vector of pcDNA 3.1 were constructed, and the mimics of miR-2284b and the interfering RNA of CSN1S1 were synthesized. …”
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