Enhancing sound-based classification of birds and anurans with spectrogram representations and acoustic indices in neural network architectures by Fábio Felix Dias, Moacir Antonelli Ponti, Rosane Minghim

“…In addition to sound characterization, we lack annotated datasets of suitable size to train networks accurately for detecting and identifying animal species. To leverage the best from these models, this work investigates different audio input representations, particularly spectrogram-based and acoustic indices, which are pre-processed features extracted from audio sources. …”
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Detecting Falls and Slips of Wheelchair Users Using Low-Resolution Thermal Image Analysis by Shisei Nakamura, Masaaki Yamauchi, Miwa Sugita, Yoshihiro Aso, Yuichi Ohsita, Hideyuki Shimonishi

“…To overcome this, we proposed a video analysis scheme using torso features and developed a system called “Fall Detection using CNN and Torso Features (FDCTF).…”
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KICA-DPCA-Based Fault Detection of High-Speed Train Traction Motor Bearings by Yunkai Wu, Yu Tian, Yang Zhou

“…To address the aforementioned issues, this paper proposes a method that combines Kernel Independent Component Analysis and Deep Principal Component Analysis (KICA-DPCA) to improve the accuracy of bearing fault detection. …”
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Comparative analysis of features phenotype limb-girdle muscular dystrophy 2А and 2I types by I. V. Sharkova, E. L. Dadali, O. P. Ryzhkova, V. N. Evdokimenkov

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Analysis of Electrodermal Signal Features as Indicators of Cognitive and Emotional Reactions—Comparison of the Effectiveness of Selected Statistical Measures by Marcin Jukiewicz, Joanna Marcinkowska

“…It was also found that some signal features were highly correlated, suggesting the possibility of simplifying the analysis by choosing just one measure from each correlated pair. …”
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A pan-cancer analysis of MARCH8: molecular characteristics, clinical relevance, and immuno-oncology features by Zihan Quan, Songqing Fan, Hongmei Zheng, Yue Ning, Yang Yang

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Intelligent Recognition of Rock Mass Discontinuities on the Basis of RGB-Enhanced Point Cloud Features by Honghai Cui, Junqi Chen, Xinyue Wang, Zihan Zhao, Jiali Han, Qi Sun, Wen Zhang

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Computed Tomographic Features of Bezoars and Other Gastrointestinal Foreign Bodies in Dogs and Cats: A Comparative Analysis by Jongwon Koo, Kidong Eom, Jaehwan Kim, Jeongyun Jeong, Hongji Yoon, Minsu Lee, Jinsoo Park, Jongmun Cho

“…This study presents a comparative analysis of the computed tomographic (CT), radiographic, and ultrasonographic (US) characteristics of gastrointestinal foreign bodies, including bezoars, in dogs and cats, and evaluates their association with complications and clinical outcomes. …”
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Facial and Neck Region Analysis for Deepfake Detection Using Remote Photoplethysmography Signal Similarity by Byeong Seon An, Hyeji Lim, Hyeon Ah Seong, Eui Chul Lee

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Emoji-Driven Sentiment Analysis for Social Bot Detection with Relational Graph Convolutional Networks by Kaqian Zeng, Zhao Li, Xiujuan Wang

“…To address this gap, we propose ESA-BotRGCN, an emoji-driven multi-modal detection framework that integrates semantic enhancement, sentiment analysis, and multi-dimensional feature modeling. …”
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Mental Workload Detection and Assessment Through Statistical Features Extraction and Optimization Using GEL-RF Method for EEG Signals Using N-Back Dataset by Waleed Manzoor, Noman Naseer, Imran Fareed Nizami, Syed Hammad Nazeer, Husam A. Neamah

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Non-invasive detection of Parkinson’s disease based on speech analysis and interpretable machine learning by Huanqing Xu, Wei Xie, Mingzhen Pang, Ya Li, Luhua Jin, Fangliang Huang, Xian Shao

“…ObjectiveParkinson’s disease (PD) is a progressive neurodegenerative disorder that significantly impacts motor function and speech patterns. Early detection of PD through non-invasive methods, such as speech analysis, can improve treatment outcomes and quality of life for patients. …”
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A Hybrid Framework for Detection and Analysis of Leaf Blight Using Guava Leaves Imaging by Sidrah Mumtaz, Mudassar Raza, Ofonime Dominic Okon, Saeed Ur Rehman, Adham E. Ragab, Hafiz Tayyab Rauf

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Parallel Processing of Sobel Edge Detection on FPGA: Enhancing Real-Time Image Analysis by Sanmugasundaram Ravichandran, Hui-Kai Su, Wen-Kai Kuo, Dileepan Dhanasekaran, Manikandan Mahalingam, Jui-Pin Yang

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Real-time damage detection of bridges using adaptive time-frequency analysis and ANN by V. Ahmadian, S. B. Beheshti Aval, E. Darvishan

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Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis by Kevin Barrera-Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martinez-Roman

“…A new model interpretability was assessed using explainability techniques, which allowed for the identification of specific learning patterns. This analysis introduces a new approach by demonstrating how different convolutional blocks capture particular features: the first convolutional block captures signal shape, while the second identifies background features. …”
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Comparative Analysis of Improved YOLO v5 Models for Corrosion Detection in Coastal Environments by Qifeng Yu, Yudong Han, Xinjia Gao, Wuguang Lin, Yi Han

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Adverse drug reaction signal detection via the long short-term memory model by Mengqi Cao, Yanna Chi, Jinyang Yu, Yu Yang, Ruogu Meng, Jinzhu Jia, Jinzhu Jia

“…Several important variables “Reasons for taking medication”, “Serious ADR scenario 4”, “Adverse reaction analysis 5”, and “Dosage” had an important influence on the result.ConclusionThe application of deep learning models shows potential to improve the detection performance in ADR monitoring.…”
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An Efficient Hybrid 3D Computer-Aided Cephalometric Analysis for Lateral Cephalometric and Cone-Beam Computed Tomography (CBCT) Systems by Laurine A. Ashame, Sherin M. Youssef, Mazen Nabil Elagamy, Sahar M. El-Sheikh

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Advances in intelligent identification of fiber-optic vibration signals in oil and gas pipelines by Xiaohui Lin, Gang Li, Yilin Wang, Kehong Zeng, Wenming Yang, Fuyong Wang

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