多尺度主元坐标变换在轴承故障声发射信号增强检测中的应用 by 张晓涛, 唐力伟, 王平, 邓士杰

“…Aiming at the problem of weak feature extraction and recognition in the bearing acoustic emission signal processing,multi-scale principal component coordinate transformation is proposed to enhance fault feature.Firstly,the signal is decomposed by wavelet package,and the sub-band reconstruction component is converted to a new linear space by principal component analysis,and the signal fault feature is enhanced.Finally,the method performance is verified by simulation signal and testing signal,the results show that multi-scale principal component coordinate transformation has obvious enhancement effect in bearing fault detection.…”
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Adaptive Vision-Based Gait Environment Classification for Soft Ankle Exoskeleton by Gayoung Yang, Jeong Heo, Brian Byunghyun Kang

“…The proposed system employs YOLOv8 for real-time environment classification, combined with a long short-term memory (LSTM) network for spatio-temporal feature extraction, enabling the precise detection of environmental transitions. …”
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A Voxelized Transformer-Based Neural Network for 3D Reconstruction From Multi-Energy SEM Backscattered Electrons by Caizhi Zheng, Ronghan Hong, Hao-Jie Hu, Qing Huo Liu

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Modeling visual working memory using recurrent on-center off-surround neural network with distance dependent inhibition by Rakesh Sengupta

“…Additionally, we investigate the model's performance in change detection tasks through error rate analysis, focusing on how receptive field sizes and input configurations (crowded or spaced out) affect accuracy. …”
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EXPLORING A NOVEL HEXACO PERSONALITY TRAITS ON TWITTER: AN ENSEMBLE-BASED NLP METHODOLOGY by Tanvi Desai, Divyakant Meva

“…The HEXACO model encompasses Honesty-Humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, and Openness to Experience, offering a comprehensive basis for personality analysis. Our approach integrates advanced NLP techniques across key phases: preprocessing, feature extraction, feature selection, and final detection. …”
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Ransomware Family Attribution With ML: A Comprehensive Evaluation of Datasets Quality, Models Comparison, and a Simulated Deployment by Emilio Rios-Ochoa, Jesus Arturo Perez-Diaz, Enrique Garcia-Ceja, Gerardo Rodriguez-Hernandez

“…Our dataset analysis revealed that, based on a quality score <inline-formula> <tex-math notation="LaTeX">$Q \in [{0,1}]$ </tex-math></inline-formula>, class separability (<inline-formula> <tex-math notation="LaTeX">$\overline {Q_{CS}}=0.48$ </tex-math></inline-formula>), feature variability (<inline-formula> <tex-math notation="LaTeX">$\overline {Q_{FV}}=0.07$ </tex-math></inline-formula>), and data timeliness (<inline-formula> <tex-math notation="LaTeX">$\overline {Q_{DT}}=0.06$ </tex-math></inline-formula>) are the main factors hindering dataset quality. …”
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YOLO-BCD: A Lightweight Multi-Module Fusion Network for Real-Time Sheep Pose Estimation by Chaojie Sun, Junguo Hu, Qingyue Wang, Chao Zhu, Lei Chen, Chunmei Shi

“…To overcome the limitations of current behavioral analysis systems in balancing computational efficiency and detection accuracy, this study develops an optimized deep learning framework named YOLOv8-BCD specifically designed for ovine posture recognition. …”
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Optimized Identity Authentication via Channel State Information for Two-Factor User Verification in Information Systems by Chuangeng Tian, Fanjia Li, Xiaomeng Liu, Juanjuan Li

“…Feature extraction is further optimized through a dual-threshold moving window detection algorithm for precise activity segmentation, a subcarrier selection method to filter redundant or unstable channels, and principal component analysis (PCA) to reduce feature dimensionality while retaining 90% of critical information. …”
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A Discriminative Target Equation-Based Face Recognition Method for Teaching Attendance by Feng Xu, Haiwei Wang

“…For the face recognition process, the system uses the Ad boost algorithm based on Hear features to achieve face detection, preprocesses the face samples with gray normalization, rotation correction, and size correction, and uses the method based on LBP features to achieve face recognition. …”
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Adaptive malware identification via integrated SimCLR and GRU networks by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, N. Z. Jhanjhi

“…This study aims to develop an adaptive and efficient malware detection framework that addresses these limitations while supporting real-time analysis. …”
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A novel wearable device integrating ECG and PCG for cardiac health monitoring by Junbin Zang, Qi An, Bo Li, Zhidong Zhang, Libo Gao, Chenyang Xue

“…Furthermore, we collected a dataset comprising 40 cases of ECG and PCG signals, enabling a comparative analysis of these three feature parameters between healthy individuals and coronary heart disease patients. …”
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A weighted bag of visual words model for predicting fetal growth restriction at an early stage by Ani Dong, Yiheng Zhang, Weiling Li, Mengjie Chen

“…The objective of this study is to achieve the early detection of FGR through the utilization of placental ultrasound images.MethodsA retrospective analysis was conducted using 80 placental ultrasound images from 40 FGR fetuses and 40 normal fetuses matched for gestational age. …”
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A Rapid Identification Method for Cottonseed Varieties Based on Near-Infrared Spectral and Generative Adversarial Networks by Qingxu Li, Hao Li, Renhao Liu, Xiaofeng Dong, Hongzhou Zhang, Wanhuai Zhou

“…For the RSM model, the use of feature wavelengths extracted after SNV-CARS processing achieved the best performance with an accuracy of 98.00%. …”
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MSNet: A multispectral-image driven rapeseed canopy instance segmentation network by Yuang Yang, Xiaole Wang, Fugui Zhang, Zhenchao Wu, Yu Wang, Yujie Liu, Xuan Lv, Bowen Luo, Liqing Chen, Yang Yang

“…Achieving accurate identification of the rapeseed target and its growth region provides significant data support for phenotypic analysis and breeding research. However, in natural field environments, rapeseed detection remains a substantial challenge due to the limited feature representation capabilities of RGB-only modalities. …”
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Partly Duffing Oscillator Stochastic Resonance Method and Its Application on Mechanical Fault Diagnosis by Jian Dang, Rong Jia, Xingqi Luo, Hua Wu, Diyi Chen

“…However, based on the analysis of the impact of noise intensity on SR effect, it is concluded that the detection results are dramatically limited by the noise intensity of measured signals, especially for incipient fault feature of mechanical system with poor working environment. …”
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Movie Genre Classification Based on Poster and Subtitles Using Hybrid Combination of Convolutional Neural Networks by Yuxiang Zhang

“…Automatic genre detection in movies is an important and catchy topic that can be used in many applications and contexts by different industries, such as personal development systems, database management, content analysis systems, and marketing and advertising systems. …”
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WebShield 5.0: Harnessing AI and NLP to combat web threats in Industry 5.0 by Priyanka Verma, Donna O’Shea, Thomas Newe, Ankit Vidyarthi, Deepak Gupta, Jabir Ali, Hamad Aldawsari, John G. Breslin

“…By combining multimodal data and utilizing the Mayfly optimization algorithm for feature selection, IM carries out a thorough analysis for efficient web-based attack detection. …”
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Diagnosis of Autism Spectrum Disorder (ASD) by Dynamic Functional Connectivity Using GNN-LSTM by Jun Tang, Jie Chen, Miaojun Hu, Yao Hu, Zixi Zhang, Liuming Xiao

“…Currently, static functional connectivity studies have achieved significant results in the field of ASD detection. However, with the deepening of clinical research, more and more evidence suggests that dynamic functional connectivity analysis can more comprehensively reveal the complex and variable characteristics of brain networks and their underlying mechanisms, thus providing more solid scientific support for computer-aided diagnosis of ASD. …”
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A radon transform-based method for line spectrum enhancement of vector hydrophone LOFAR spectrograms under low SNR conditions by Jun Wang, Caixia Song, Zhiguo Qi

“…This transformation significantly improves the automatic detection and feature recognition capabilities of vector hydrophones. …”
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Combining the Strengths of LLMs and Persuasive Technology to Combat Cyberhate by Malik Almaliki, Abdulqader M. Almars, Khulood O. Aljuhani, El-Sayed Atlam

“…Specifically, the study introduces the Comment Analysis Feature to limit cyberhate spread, utilizing a prompt-based fine-tuning approach combined with LLMs. …”
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