A Study on the performance of Four Regression Models in Predicting Weather Temperature Based on Python by Li Taobei

“…Standardizing and expanding features were part of the data preprocessing process to capture non-linear interactions. Performance metrics were used to evaluate the models' predictive capacity. …”
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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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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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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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Hydrodynamic Features of Gas-Liquid Flow Movement in a Separation Device Plane Channel with an Oscillating Wall by Pavlenko I.V., Liaposhchenko O.O., Sklabinskyi V.I., Ivanov V.O., Gusak O.G.

“…The novelty of the proposed ap-proach concerns creating the mathematical model for determination of analytical dependences between the efficiency of the hydromechanical process and initial parameters of the separation device. …”
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Decision Support System for Determining Disease and Pest Handling in Chili Plants Using WP and VIKOR Methods by Muhammad Mulkan Jalila, Wahyu Fuadi, Ar Razi

“…Alternative A2 is again ranked at the top with a Qi value of 0. The process of developing this DSS involves identifying disease and pest symptom criteria, normalizing the decision matrix, and calculating the ideal solution for each alternative. …”
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Retinal Vascular Occlusion Following COVID-19 Vaccination: A Comprehensive Review of Observational Study and Pathophysiological Mechanisms by Yuchen Zhang, Haoliang Zhang, Kangjia Lv, Xin Lin, Feng’e Chen, Hui Cao, Chong Chen

“…<b>Methods</b>: We analyzed large-scale population-based studies from South Korea, Europe, and the TriNetX database, focusing on odds ratios (OR), hazard ratios (HR), and relative risks (RR) across mRNA and adenoviral vector vaccines. Pathological processes were hypothesized based on molecular and clinical evidence. …”
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RIS-Aided Integrated Sensing and Communication Systems: STAR-RIS Versus Passive RIS? by Prajwalita Saikia, Anand Jee, Keshav Singh, Cunhua Pan, Wan-Jen Huang, Theodoros A. Tsiftsis

“…We formulate an optimization problem that jointly optimizes the beamforming vector at the multi-antenna ISAC transmitter and phase shift vector to maximize the weighted sum-rate (WSR) at the communication users while taking care of the maximum power limit the ISAC transmitter and ensuring the performance of sensing model to detect targets and limitations of phase and amplitude of S-RIS elements. …”
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Performance of TF-IDF for Text Classification Reviews on Google Play Store: Shopee by Najwa Umaira Che Mohd Safawi, Nur Amalina Shafie

“…The methodology entails pre-processing the text data by applying a text normalization procedure that includes several processes, such as eliminating stop words, Unicode characters, and lemmatizing. …”
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SmartCardio: Advancing cardiac risk prediction through Internet of Things and edge cloud intelligence by S. Durga, Esther Daniel, J. Andrew, Radhakrishna Bhat

“…It consists of two main phases: data acquisition, where sensors measure heart rate, temperature, and blood pressure, and data processing, where the edge cloud processes the data using Haar Wavelet transform, Convolutional Neural Network (CNN), and transfer learning. …”
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Automated remote sensing monitoring of cropland non-agricultural and non-grain conversion at parcel scale in complex environments through multi-source data fusion by Junyao Zhang, Xiaomei Yang, Jianwang Dai, Xiaofan Wang, Zheng Fang, Xiaoliang Liu, Xiaowei Zeng, Zhihua Wang

“…We aim to develop an automated process framework that accurately extracts parcel boundaries and identifies multiple types of changes. …”
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A novel method to predict the haemoglobin concentration after kidney transplantation based on machine learning: prediction model establishment and method optimization by Songping He, Xiangxi Li, Fangyu Peng, Jiazhi Liao, Xia Lu, Hui Guo, Xin Tan, Yanyan Chen

“…Objective To optimize the process of constructing a clinical prediction model based on machine learning and improve related technologies. …”
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Perbandingan Algoritme Machine Learning untuk Memprediksi Pengambil Matakuliah by Fitra A. Bachtiar, Indra K. Syahputra, Satrio A. Wicaksono

“…Abstract At the beginning of each semester, the academic section conducts scheduling and determining the courses offered for the next semester. However, the process has problems such as too many classes offered to the student compared to the number of students who take the class or vice versa. …”
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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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