Personalized Solutions for Foot Health: Machine Learning-Based Foot Condition Detection, Classification, and Recommendation of Customized Footwear by Sonaa Rajagopal, Muralikrishnan Mani, Shyam Venkatraman, R. Suganya

“…The framework consists of three modules: a CNN-based VGG-16-GRU model which identifies gait posture based on pressure sensor heatmaps, an autoencoder-based random forest model which classifies foot diseases based on the detected gait posture, and an LSTM-ensembled XGBoost model which recommends features of suggested footwear. …”
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Detection of Railway Track Anomalies Using Interferometric Time Series of TerraSAR-X Satellite Radar Data by Philipp Bernhard, David Haener, Othmar Frey

“…In this study, we investigate a new approach to detect railway track anomalies based on surface displacements retrieved from interferometric time series of satellite radar data. …”
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Enhancing public cloud resilience: an analytical review of detection and mitigation strategies against economic denial of sustainability attacks by Zubaidi Maytham Sahar Saeed, Anazida Binti Zainal, Fuad A. Ghaleb, Bander Ali Saleh Al-rimy

“…EDoS attacks exploit the pay-per-use and auto-scaling features of CC platforms to incur financial damage by triggering unnecessary resource consumption. …”
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Detecting Anomalies in CPU Behavior Using Clustering Algorithms from the Scikit-Learn Library in Python Programming Language by Artem Turashev, Vladimir Sukhomlin

“…In this case, the issue of anomaly detection is acute, since anomalous activity detected in time can prevent a cyber attack. …”
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A high-precision edge detection technique for magnetic anomaly signals based on a self-attention mechanism by Ju Haihua, Wang Li, Yang Jie, Liu Gaochuan, Xia Zhong, Jiao Jian, Zhang Le, Dai Bo

“…It holds significant importance in geological structure analysis and mineral exploration. Deep learning methods, which can automatically capture complex magnetic anomaly features, have been widely applied in boundary detection. …”
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Design of a Novel Electrochemical Nanobiosensor for the Detection of Prostate Cancer by Measurement of PSA Using Graphene-based Materials by Fatemeh Saeidi tabar, mehrab pourmadadi, Fatemeh Yazdian, Hamid Rashedi

“…The limit of detection (LOD) is 1.67 pg.ml-1 in hexafrrocyanide ([Fe(CN)6]-3/-4) media, this limit of detection is much lower and demonstrates the high ability of the nanobiosensor in early detection of PSA. …”
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Design and Validation of an Edge-AI Fire Safety System with SmartThings Integration for Accelerated Detection and Targeted Suppression by Seung-Jun Lee, Hong-Sik Yun, Yang-Bae Sim, Sang-Hoon Lee

“…This study presents the design and validation of an integrated fire safety system that leverages edge AI, hybrid sensing, and precision suppression to overcome the latency and collateral limitations of conventional smoke detection and sprinkler systems. The proposed platform features a dual-mode sensor array for early fire recognition, motorized ventilation units for rapid smoke extraction, and a 360° directional nozzle for targeted agent discharge using a residue-free clean extinguishing agent. …”
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A Multi-Machine and Multi-Modal Drift Detection (M2D2) Framework for Semiconductor Manufacturing by Chin-Yi Lin, Tzu-Liang (Bill) Tseng, Tsung-Han Tsai

“…By leveraging self-supervised or unsupervised learning, M2D2 constructs a resilient baseline of nominal behavior across numeric, textual, and categorical features, thereby facilitating the early detection of both rapid spikes and slow-onset deviations. …”
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Waterbody Detection and Reservoir Water Level Prediction Using Bayesian Mixture Models with Sentinel-1 GRD Data by DongHyeon Yoon, Ha-Eun Yu, Euiho Hwang, Ki-mook Kang, Gibeom Nam, Jin-Gyeom Kim

“…Despite limitations in detecting narrow tributaries or other small-scale features due to SAR resolution, the model performs well overall in monitoring broad water bodies. …”
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Automatic Detection and Classification of Natural Weld Defects Using Alternating Magneto-Optical Imaging and ResNet50 by Yanfeng Li, Pengyu Gao, Yongbiao Luo, Xianghan Luo, Chunmei Xu, Jiecheng Chen, Yanxi Zhang, Genxiang Lin, Wei Xu

“…Principal component analysis (PCA) is employed to extract column vector features from the downsampled defect MO images, which then serve as the input layer for the error backpropagation (BP) neural network model and the support vector machine (SVM) model. …”
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Detection of bovine leukemia virus, Epstein-Barr virus and human papillomavirus in breast cancer tissues of Egyptian patients by May Raouf, Salwa Kamal, Rawan Elsayed, Inass Zaki, Dina Kholeif

“…Hormonal receptor status, Real-time PCR for viral detection and HPV genotyping were done. Statistical analysis was done using SPSS software. …”
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Assessment of physical facilities and detection of post-mortem lesions in public abattoirs in selected districts of Wolaita zone, Ethiopia by Melese Yilma Zaba, Asefa Asmare, Joseph P. Cassidy, Stephen V. Gordon

“…Abstract Background Participatory abattoir appraisals and observational analysis were conducted in selected local abattoirs in the Wolaita, Ethiopia with the aims of assessing (i) the physical facilities available in these abattoirs and (ii) the detection of post-mortem gross lesions upon routine meat inspection that may have been due to infectious diseases. …”
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Capillary electrophoresis-based detection of cow milk adulteration in specialty milks and products: Physicochemical characteristics of potential markers by Shuobo Jia, Xiaoyue Wang, Chunxia Deng, Bohao Zhang, Rongwei Han, Qijing Du, Hongning Jiang, Tongjun Guo, Dengpan Bu, Yongxin Yang

“…These variations contributed to differences in the retention times observed during capillary electrophoresis analysis. This study laid the groundwork for using capillary electrophoresis to detect adulteration in specialized milks and their processed products, providing useful insights into the physicochemical features of potential markers.…”
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Effective detection of staphylococcal infections in human bone tissue using combined raman microscopy and micro-computed tomography by Richard Andreas Lindtner, Lukas Kampik, Larissa Noack, David Putzer, Rohit Arora, Débora Cristina Coraça-Huber, Michael Schirmer, Gerald Degenhart, Michaela Lackner, Jürgen Popp, Jovan Badzoka, Christoph Kappacher, Christian Wolfgang Huck, Johannes Dominikus Pallua, Johannes Dominikus Pallua

“…Support vector machine (SVM) classification repeated stratified k-folg cross-validation accurately detected inoculation status. Combining Raman and micro-CT features yielded moderately improved classification performance in pathogen-specific discrimination. …”
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Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm by Mu Panliang, Sanjay Madaan, Siddiq Ahmed Babikir Ali, Gowrishankar J., Ali Khatibi, Anas Ratib Alsoud, Vikas Mittal, Lalit Kumar, A. Johnson Santhosh

“…The accuracy of these systems is of utmost concern and depends on effective feature selection, which directly impacts their ability to accurately detect facial expressions across various poses. …”
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First detection of VEB-1 extended-spectrum β-lactamase-producing Escherichia coli clinical isolate in Japan by Junko Shindou, Wataru Hayashi, Shizuo Kayama, Liansheng Yu, Hui Zuo, Yo Sugawara, Motoyuki Sugai

“…Furthermore, we characterized the genomic features of plasmids harboring the class 1 integron-borne blaVEB-1. …”
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Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods by Said Ziani, Yousef Farhaoui, Mohammed Moutaib

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Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer by Hardik Dhingra, Roopashri Shetty

“…Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. …”
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Improved empirical wavelet transform combined with particle swarm optimization-support vector machine for EEG-based depression recognition by Yongxin Wang, Longqi Xu, Hongxu Qian, Haijun Lin, Xuhui Zhang

“…Afterward, these distinguishing characteristics are harnessed to detect depression through the optimized PSO-SVM algorithm. …”
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Presence of liver metastasis correlated with high tumor abundance and indicated adverse prognostic feature in EGFR mutation non-small-cell lung cancer patients by Piyada Sitthideatphaiboon, Pronwasun Simseekeaw, Chinachote Teerapakpinyo, Nicha Zungsontiporn, Wariya Chintanapakdee, Itthi Itthisawatpan, Shanop Shuangshoti, Virote Sriuranpong, Thanisa Tongbai, Chanida Vinayanuwattikun

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