LSAP: A Learned Structure-Aware Pruning Point Cloud Classification Approach for Cyber Physical Social Intelligence by Xinhong Liu, Yangfan Li, Fengxiao Tang, Ming Zhao

“…To enhance the ability of Cyber Physical Social Intelligence (CPSI) to process three-dimensional spatial information, we investigate the problem of object detection in 3D Light laser Detection And Ranging (LiDAR) point clouds. …”
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Cross-Modal Collaboration and Robust Feature Classifier for Open-Vocabulary 3D Object Detection by Hengsong Liu, Tongle Duan

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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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Development and Practice of Cloud Collaborative Platform for Downhole Measurement Tools by Che Yang, Yuan Guangjie, Qian Hongyu, Du Weiqiang, Wang Chenlong, Ding Jiping

“…In the paper， based on the remote operation requirements of coreless magnetic steering tool， a platform architecture of five modules， including simulation rehearsal， virtual training， remote operation， smart tool and intelligent decision， was designed in detail， achieving a whole process digitization from predrilling risk assessment and in-drilling acquisition and processing to post-drilling feedback and optimization， and a visual interface was developed. …”
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An IoT and Machine Learning-based Neonatal Sleep Stage Classification by Awais Abbas, Hafiz Sheraz Sheikh, SaadUllah Farooq Abbasi

“…After feature extraction, support vector machine was used for sleep stage classification. …”
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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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Design of performance evaluation method for higher education reform based on adaptive fuzzy algorithm by Dakun Yang, Muhammad Sheraz Arshad Malik

“…A total of 16 sub-indicators are incorporated into the evaluation framework. To optimize data processing and reduce redundancy, factor analysis is applied, simplifying the indicator set while maintaining the integrity and effectiveness of the evaluation process. …”
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Characterization and Automated Classification of Underwater Acoustic Environments in the Western Black Sea Using Machine Learning Techniques by Maria Emanuela Mihailov

“…The framework evaluates Convolutional Neural Networks (CNNs), Random Forest, and Support Vector Machines (SVMs) for noise event classification, alongside Gaussian Mixture Models (GMMs) for anomaly detection. …”
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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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Standardized Extraction of Air Traffic Control Hazard Features Based on Expert Knowledge by Xianghua Tan, Zhipeng Cai, Zhibin Quan, Weili Zeng

“…We illustrate the model training process using communication navigation and surveillance (CNS) data, which includes candidate feature generation, feature vectorization, and cluster-based standardization. …”
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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 anthropological nature of historical space-time determines the meanings, contributes to the ordering of everyday events by the subjects of history, provides an opportunity to determine the vector of cognition of history.…”
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Detection method of slight bruises of apples based on hyperspectral imaging and RELIEF-extreme learning machine by ZHANG Meng, LI Guanghui

“…The final detection accuracy of apple damage detection algorithm based on the image processing technology was over 94%, which indicates that the algorithm is efficient for identifying slight bruises of apples.…”
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Comparison of Naive Bayes and SVM Algorithms for Sentiment Analysis of PUBG Mobile on Google Play Store by Putri Ratna Sari, Dwi Rosa Indah, Errissya Rasywir, Mgs Afriyan firdaus, Ghita Athalina

“…Despite Naïve Bayes's faster processing speed, SVM exhibited greater precision, recall, and F1-score…”
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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.

“…As a result, quantitatively and qualitatively sufficient approximations for the scalar pres-sure and vector velocity fields were obtained with a permissible relative error in comparison with the results of numerical simulation. …”
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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

“…The final results show that the best alternative is fusarium wilt disease (Fusarium oxysporum) with code A2, having a vector score of 0.09899. In the VIKOR method, the alternative with the lowest Qi index value is considered the best solution. …”
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Egg-driven immunosuppression and granuloma zonation in Peyer’s patches of mice with Schistosoma japonicum infection by Linzhu Li, Jing Wu, Guangxu Cao, Jiakai Yao, Yanping Miao, Yanglin Zhuang, Yushen Xiang, Xiaolin Zhong, Yicong Liu, Fubo Chen, Yalei Dai, Yang Dai, Xindong Xu, Qingfeng Zhang

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Pollen development under control and high-temperature stress: the role of plant hormones by Dhirendra Fartyal, Ashleigh Crane, Hagai Yasuor

“…Pollen grains, the sperm cell dispersal vectors, are essential for sexual reproduction and subsequent fruit and seed production. …”
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Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification by Fhira Nhita, Asniar, Isman Kurniawan, Adiwijaya

“…Therefore, the data preprocessing strategy at the before and after data balancing process is crucial to improve data quality before the classification process is conducted. …”
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