Human activity recognition via smart-belt in wireless body area networks by Yuhong Zhu, Jingchao Yu, Fengye Hu, Zhijun Li, Zhuang Ling

“…This article proposes a hierarchical activity recognition structure, which divides the recognition process into two levels. Then a multi-classification Support Vector Machine algorithm optimized by Particle Swarm Optimization is applied to identify five kinds of conventional human postures. …”
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Mid-and-Long Term Load Forecasting Based on Integrated Power Consumption Data by Xingang WANG, Binruo ZHU, Zhen GU

“…Towards the issue of load forecasting, with water/power/gas consumption data collected by integrated smart meter as features, two mid-and-long term power consumption forecasting methods are proposed: gaussian process regression (GPR) and relevance vector regression (RVR). …”
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Lattice-based lightweight post quantum access authentication scheme for satellite network by WANG Shanshan, ZHAO Guofeng, XU Chuan, HAN Zhenzhen

“…In the registration phase, a lattice Hash function based on the approximate shortest vector problem (SVP) was used to keep the user's identity confidential, which reduced the computation time and completes identity registration. …”
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A new machine learning approach based on spatial fuzzy data correlation for recognizing sports activities by Xu Pengru, Zhou Junhui, Kausar Nasreen, Lin Chunlei, Lu Qianqian, Ghaderpour Ebrahim, Pamucar Dragan, Zadeh Ardashir M.

“…Wearable sensors (WS) play a vital role in health assistance to improve the patient monitoring process. However, the existing data collection process faces difficulties in error corrections, rehabilitation, and training validations. …”
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The Analytical System for Determining the Attitude of Students to the University by Violeta Tretynyk, Mariia Pinda

“…However, traditional methods of collecting and analyzing feedback are often not automated, requiring significant time and human resources to process large amounts of text data. Existing software solutions use methods for processing and analyzing text tone based on machine learning methods and algorithms (naive Bayesian classifier, support vector machine, logistic regression), as well as deep learning (recurrent neural networks). …”
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On Classification of the Human Emotions from Facial Thermal Images: A Case Study Based on Machine Learning by Marius Sorin Pavel, Simona Moldovanu, Dorel Aiordachioaie

“…An augmentation process was applied to the initial raw images that led to the development of the two databases with added noise, as well as the subsequent augmentation of all images, i.e., rotation, reflection, translation and scaling. (2) Methods: The multiclass classification process was implemented through two subsets of methods, i.e., machine learning with random forest (RF), support vector machines (SVM) and k-nearest neighbor (KNN) algorithms and deep learning with the convolutional neural network (CNN) algorithm. (3) Results: The results obtained in this paper with the two subsets of methods belonging to the field of artificial intelligence (AI), together with the two categories of facial thermal images with added noise used as input, were very good, showing a classification accuracy of over 99% for the two categories of images, and the three corresponding classes for each. (4) Discussion: The augmented databases and the additional configurations of the implemented algorithms seems to have had a positive effect on the final classification results.…”
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Memristive Bellman solver for decision-making by Zhe Feng, Zuheng Wu, Jianxun Zou, Lingli Cheng, Xiaolong Zhao, Xumeng Zhang, Jian Lu, Cong Wang, Yilin Wang, Haochen Wang, Wenbin Guo, Zhibin Qian, Yunlai Zhu, Zuyu Xu, Yuehua Dai, Qi Liu

“…However, the iterative nature of the Bellman equation solving process poses a challenge for efficient implementation on MCIM systems, which excel at vector-matrix multiplication (VMM) operations but are less suited for iterative algorithms. …”
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COMPOSITE PEDAGOGICAL STAFF-CLUSTERS AS A CONDITION OF DEPARTMENT EDUCATIONAL AND METHODICAL WORK DEVELOPMENT by Vladimir A. Fedorov, Aleksandr V. Stepanov, Tatyana M. Stepanova

“…Suhomlinsky, etc.) and organizational-psychological (by K. Rogers, etc.) processes, and also ideas of synergetics extrapolated into organizational-pedagogical processes. …”
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Gluconeogenesis related gene signatures as biomarkers for nonspecific orbital inflammation by Bahe Dong, Man Zheng, Xiaofeng Xie

“…Functional analyses revealed their involvement in processes such as pyruvate metabolic process, hexose metabolic process, monosaccharide metabolic process. …”
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A Robust joint coverless image steganography scheme based on two independent modules by Chang Ren, Bin Wu

“…Due to the irreversibility of the process of generating secret images from message codeword, the recovery accuracy of the latter is very poor. …”
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Evaluating the efficacy of using large language models in preoperative prediction of microvascular invasion in HCC: a multicenter study by Zongren Ding, Jianxing Zeng, Guoxu Fang, Pengfei Guo, Weiping Zhou, Yongyi Zeng

“…ChatGPT 4o were used to process the clinical data of the patients and predict MVI. …”
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Metabolic limitations of soil microorganisms during the decay of Salix psammophila sand barriers by Yumei Liang, Yumei Liang, Xiaoting Duan, Xin Guo, Ruiting Jia, Qi Tian

“…The activities of leucine aminopeptidase, β-1,4-n-acetylglucoside, and alkaline phosphatase first increased and then decreased with the increase of S. psammophila sand barrier years, and reached the maximum value at 6 years. (2) Redundancy analysis revealed that soil stoichiometric ratios were the main factors driving soil enzyme activities and their stoichiometry. (3) The soil enzyme C:N:P stoichiometric ratio was approximately 0.8:1:1. The enzyme vector lengths ranged from 0.66 to 1.09, and the vector angles ranged from 41.86° to 49.70°. …”
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Bearing Early Fault Diagnosis Based on an Improved Multiscale Permutation Entropy and SVM by Qunyan Jiang, Juying Dai, Faming Shao, Shengli Song, Fanjie Meng

“…Bearing fault is a process of gradual development and deepening. In the early stage of the fault, if it can be found out in time and taken reasonable prevention and elimination measures, we can avoid serious losses and safety accidents. …”
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The COVID-19 vaccine: A race nearing the finish line by Tarun Kumar Suvvari, Siddhi Hegde, Shreya Sreeram, L V Simhachalam Kutikuppala

“…The characteristic feature of the COVID-19 vaccine development is the use of a wide array of technology platforms, including the virus-like particle, peptide, nucleic acid (DNA and RNA), viral vector (replicating and nonreplicating), live attenuated virus, an inactivated virus, and recombinant protein in the process of vaccine preparation. …”
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Enhancing tool condition monitoring in friction stir welding with probabilistic neural network algorithm by Balachandar Krishnamurthy, Jegadeeshwaran Rakkiyannan

“…IntroductionFriction Stir Welding (FSW) is a critical industrial process in which a rotating tool generates heat through friction, enabling the solid-state joining of materials. …”
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A machine learning-powered energy consumption prediction system with API by Toyeeb Adekunle Abd’Azeez, Lanre Olatomiwa

“…The feature importance examined for the prediction process of the model revealed the pivotal role of the hour feature in the energy consumption prediction process. …”
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Information Collection, Analysis, and Monitoring System of Children’s Physical Training Based on Multisensor by Zhonglin Zhang, Jiajia Xu, Chenggen Peng, Yuping Chen

“…In order to obtain more children’s physical training information and improve the accuracy of children’s physical training monitoring, a multisensor-based children’s physical training information collection, analysis, and monitoring system is proposed. In the process of physical training and sports training, people’s physical training information collection is directly related to the level and effectiveness of physical training. …”
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Leveraging machine learning for prediction and optimization of texture properties of sustainable activated carbon derived from waste materials by Ahmed Farid Ibrahim, Mohamed Abdrabou Hussein

“…This study employed machine learning (ML) models to predict AC’s properties and optimize its production process. Random Forest (RF), Decision Tree (DT), Gradient Boosting Regressor (GBR), support vector machines (SVM), and Artificial Neural Networks (ANN) were applied along with key input parameters, including raw material type, particle size, and activation conditions. …”
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The Historical Space-Time Continuum as an Anthropological Phenomenon by Yu. L. Sirotkin

“…The author made an attempt to overcome the extremes of the anthropocentric and progressive models of the historical process on the basis of the unity of anthropocentrism, cultural centrism and sociocentrism. …”
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Applicability of Artificial Intelligence in Smart Healthcare Systems for Automatic Detection of Parkinson’s Disease by Harikumar Pallathadka, S.J.R.K. Padminivalli V., M. Vasavi, P. Nancy, Mohd Naved, Harish Kumar, Samrat Ray

“…Received photos are preprocessed using the relief feature option to begin the process. This is helpful in the process of selecting characteristics for the identification of Parkinson’s disease. …”
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