Community privacy estimation method based on key node method in space social Internet of Things by Guobin Chen, Tangsen Huang

“…Based on the research of social network and the Internet of Things, a new research topic in the field of Internet of Things, Social Internet of Things is gradually formed. …”
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Increasing Neural-Based Pedestrian Detectors’ Robustness to Adversarial Patch Attacks Using Anomaly Localization by Olga Ilina, Maxim Tereshonok, Vadim Ziyadinov

“…The experimental results show that the proposed method is effective in defending against adversarial patch attacks. Using the YOLOv3 algorithm with the proposed defensive method for pedestrian detection in the INRIAPerson dataset under the adversarial attacks, the mAP50 metric reaches 80.97% compared to 46.79% without a defensive method. …”
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Source–load matching and energy storage optimization strategies for regional wind–solar energy systems by Y. Zhu, Q. Li, Z. Li, Z. Zhang

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A Comparison of Convolutional Neural Network (CNN) and Transfer Learning MobileNetV2 Performance on Spices Images Classification by Khoirizqi Velarati, Christy Atika Sari, Eko Hari Rachmawanto

“…This research was conducted to analyze the performance of the CNN algorithm without transfer learning in classifying spice images and compare it with the CNN algorithm using transfer learning on the MobileNetV2 architecture. …”
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EVALUASI KINERJA ALGORITMA ASSOCIATION RULE by Gysber J. Tamaela

“…But these datasets have a different characteristics from real world dataset. The goal of this research is to compare the performance of Apriori and Cut Both Ways (CBW) algorithms using 3 real world datasets. …”
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Designing a Multi-Objective Closed-loop Supply Chain Mathematical Model with Supplier Selection Approach and considering Discount by Esmat Saadi, kiamars fathi, Reza Radfar

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Automatic Determination of Parting Line Locations for Sand-Casting Process Using CAD System by Tama Reza Setiawan Putra, Fariz Muharram Hasby, Isa Setiasyah Toha, Wisnu Aribowo

“…This research prioritizes five criteria specifically for the sand-casting process, namely projected area, undercut (number of undercut), draw distance, dimensional stability and volume part in cope and drag which are applied to an algorithm to build an automatic system in the form of an Add-in type application in SolidWorks 2022. …”
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Coverage optimization and node minimization in WSNs: an enhanced hybrid PSO approach with spatial position encoding by Yinghua Tong, Lianhai Lin, Liqin Tian, Zhigang Wang, Wenxing Wu, Junyi Wu

“…Results demonstrate improvements in coverage optimization and reduction of node deployment compared to existing methods. This research contributes to more efficient and cost-effective deployment strategies for WSNs, particularly in scenarios where resources are limited and optimal coverage is critical.…”
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High-resolution Canada domain disturbance forcings suitable for land surface modeling applications by Jason Beaver, Salvatore R. Curasi, Joe R. Melton, Elyn R. Humphreys, Txomin Hermosilla, Michael A. Wulder

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How Gait Nonlinearities in Individuals Without Known Pathology Describe Metabolic Cost During Walking Using Artificial Neural Network and Multiple Linear Regression by Arash Mohammadzadeh Gonabadi, Farahnaz Fallahtafti, Judith M. Burnfield

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Combined Prediction of Dust Concentration in Opencast Mine Based on RF-GA-LSSVM by Shuangshuang Xiao, Jin Liu, Yajie Ma, Yonggui Zhang

“…To enhance the prediction accuracy of dust concentration in these mines, a combined prediction algorithm utilizing RF-GA-LSSVM is developed. Initially, the random forest (RF) algorithm is employed to identify key features from the meteorological and dust concentration data collected on site, ultimately selecting five indicators—temperature, humidity, stripping amount, wind direction, and wind speed—as the input variables for the prediction model. …”
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OPTIMSM: FPGA hardware accelerator for Zero-Knowledge MSM by Xander Pottier, Thomas de Ruijter, Jonas Bertels, Wouter Legiest, Michiel Van Beirendonck, Ingrid Verbauwhede

“…In recent years, hardware acceleration of this algorithm on both FPGA and GPU has become a popular research topic and the subject of a multi-million dollar prize competition (ZPrize). …”
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GSB: GNGS and SAG-BiGRU network for malware dynamic detection. by Zhanhui Hu, Guangzhong Liu, Xinyu Xiang, Yanping Li, Siqing Zhuang

“…In the study, we used the Alibaba Cloud dataset for malware multi-classification. Compared the GSB deep learning network model with other current studies, the experimental results showed that the Gaussian noise generation strategy (GNGS) could solve the unbalanced distribution of minority categories' malware and the SAG-BiGRU algorithm obtained the accuracy rate of 88.7% on the eight-classification, which has better performance than other existing algorithms, and the GSB model also has a good effect on the NSL-KDD dataset, which showed the GSB model is effective for other network intrusion detection.…”
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Computer Vision-Based Concrete Crack Identification Using MobileNetV2 Neural Network and Adaptive Thresholding by Li Hui, Ahmed Ibrahim, Riyadh Hindi

“…A dataset including 40,000 images was adopted and preprocessed using various thresholding techniques, of which adaptive thresholding was selected for developing the crack evaluation algorithm. While both the convolutional neural network (CNN) and MobileNetV2 indicated comparable accuracy levels in crack detection, the MobileNetV2 model’s significantly smaller size makes it a more efficient selection for crack detection using mobile devices. …”
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Hemodynamic and Oxygen Transport Monitoring During Myocardial Revascularization on the Working Heart by A. A. Smetkin, M. Yu. Kirov, V. V. Kuzkov, A. I., Lenkin, A. V. Yeremeyev, V. Yu. Slastilin, V. V. Borodin

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Aura Ozone Monitoring Instrument (OMI) Collection 4 Formaldehyde Products by Zolal Ayazpour, Gonzalo González Abad, Caroline R. Nowlan, Kang Sun, Hyeong‐Ahn Kwon, Christopher Chan Miller, Heesung Chong, Huiqun Wang, Xiong Liu, Kelly Chance, Ewan O’Sullivan, Lei Zhu, Corinne Vigouroux, Isabelle De Smedt, Wolfgang Stremme, James W. Hannigan, Justus Notholt, Xiaoyu Sun, Mathias Palm, Cristof Petri, Kimberly Strong, Amelie N. Röhling, Emmanuel Mahieu, Dan Smale, Yao Té, Isamu Morino, Isao Murata, Tomoo Nagahama, Rigel Kivi, Maria Makarova, Nicholas Jones, Ralf Sussmann, Minqiang Zhou

“…This paper describes the updated retrieval algorithm and compares Collection 3 and Collection 4 data products. …”
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Attention-Based Hypergraph Neural Network: A Personalized Recommendation by Peihua Xu, Maoyuan Zhang

“…Personalized recommendation for online learning courses stands as a critical research topic in educational technology, where algorithmic performance directly impacts learning efficiency and user experience. …”
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Optimal control of discrete event systems under uncertain environment based on supervisory control theory and reinforcement learning by Yingjun Liu, Fuchun Liu

“…The result shows the proposed approach owning 8.27 $$\%$$ % performance improvement compared with the non-intelligent methods. This research will contribute to further studying the optimal control of human-made physical systems in a wide variety of industries.…”
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Determining the Range of Applicability of Analytical Methods for Belleville Springs and Novel Approach of Calculating Quasi-Progressive Spring Stacks by Jędrzej Koralewski, Michał Wodtke

“…This study investigates the accuracy of analytical methods for Belleville springs by comparing their results with finite element method (FEM) models to determine their applicability. …”
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Trajectory Tracking Control Method for AUV Planar MotionBased on Three-Level Hierarchical Speed Regulation by Haonan SUN, Lei WANG

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