Fine detection of floor water damage by three-dimensional direct current electric method based on cross-lane observation by Guanqun ZHOU, Hongda ZHAO, Weixin ZHANG, Xiaoping WU, Xikai LIANG, Zongtao WANG, Yafei WANG

“…On the basis of the all-round exploration method of mine resistivity, this study proposes and incorporates the cross-roadway electrical observation mode, forming a set of apparent resistivity observation data including one-roadway electrical method, the two-roadway electrical method, and the cross-roadway electrical method, and enhancing the extraction of the full potential matrix observation information. …”
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A MEMS seismometer respiratory monitor for work of breathing assessment and adventitious lung sounds detection via deep learning by Brian Sang, Haoran Wen, Greg Junek, Wendy Neveu, Lorenzo Di Francesco, Justin Romberg, Farrokh Ayazi

“…A data fusion deep learning model was developed which combined the inputs of PIVs lung sounds and the corresponding respiration phase to detect crackle, wheeze and normal breath sound features. …”
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Performance of polygenic risk scores in screening, prediction, and risk stratification: secondary analysis of data in the Polygenic Score Catalog by Harry Hemingway, Riyaz Patel, Joan K Morris, Aroon D Hingorani, Reecha Sofat, Claudia Langenberg, Nicholas J Wald, Valerie Kuan, Chris Finan, Jasmine Gratton, A Floriaan Schmidt

“…Objective To clarify the performance of polygenic risk scores in population screening, individual risk prediction, and population risk stratification.Design Secondary analysis of data in the Polygenic Score Catalog.Setting Polygenic Score Catalog, April 2022. …”
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Artificial Intelligence‐Based Detection of Central Retinal Artery Occlusion Within 4.5 Hours on Standard Fundus Photographs by Ayse Gungor, Ilias Sarbout, Aubrey L. Gilbert, Steffen Hamann, Pierre Lebranchu, Cristina Hobeanu, Philippe Gohier, Catherine Vignal‐Clermont, Oana M. Dumitrascu, Salomon‐Yves Cohen, Wolf A. Lagrèze, Nicolas Feltgen, Frank van der Heide, Cédric Lamirel, Jost B. Jonas, Michael Obadia, Daniel Racoceanu, Dan Milea

“…The deep learning system outperformed stroke neurologists on a subset of hyperacute testing data set (120 photographs, 120 patients). Conclusions A deep learning system can accurately detect hyperacute CRAO on retinal photographs within a time window compatible with urgent fibrinolysis. …”
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Clinical Prediction Models Incorporating Blood Test Trend for Cancer Detection: Systematic Review, Meta-Analysis, and Critical Appraisal by Pradeep S Virdee, Kiana K Collins, Claire Friedemann Smith, Xin Yang, Sufen Zhu, Nia Roberts, Jason L Oke, Clare Bankhead, Rafael Perera, FD Richard Hobbs, Brian D Nicholson

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Zero-Shot Eggshell Crack Detection Using Grounding DINO and FFT-Based Outer-to-Inner Ring Energy Ratio by Tomorn Soontornnapar, Tuchsanai Ploysuwan

“…To distinguish cracks from dirt and subtle surface irregularities, we introduce a novel frequency-domain feature: the FFT-based Outer-to-Inner (O/I) Ring Energy Ratio, which enhances the visibility of fine anomalies. Our zero-shot detection model achieves an average accuracy of 92.54% across 10-fold cross-validation on both datasets—without retraining—demonstrating strong generalization and eliminating the reliance on labeled training data. …”
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iSKIN: Integrated application of machine learning and Mondrian conformal prediction to detect skin sensitizers in cosmetic raw materials by Weikaixin Kong, Jie Zhu, Peipei Shan, Huiyan Ying, Tongyu Chen, Bowen Zhang, Chao Peng, Zihan Wang, Yifan Wang, Liting Huang, Suzhen Bi, Weining Ma, Zhuo Huang, Sujie Zhu, Xueyan Liu, Chun Li

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Real-Time Detection of Meningiomas by Image Segmentation: A Very Deep Transfer Learning Convolutional Neural Network Approach by Debasmita Das, Chayna Sarkar, Biswadeep Das

“…The number of epochs in the Sequential Model was set to 10. The Keras layers that we used were Dense, Dropout, Flatten, Batch Normalization, and ReLU. …”
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Ultrasound assessment of botulinum toxin-A (BOTOX) injection into adult Arabian dromedary camels’ lips: efficacy in detection and localization by Mohamed Marzok, Jamal Hussen, Mahdi Al Dhafiri, Sherif Saleh, Hussein M. El-Husseiny, Mohamed W. El-Sherif, Abdullah Ayman al wail, Adel I. Almubarak, Mohamed Salem

“…Ultrasound examinations and hematological and biochemical analyses were conducted at specified intervals. Data were analyzed using two-way repeated-measures ANOVA and Tukey’s test, with significance set at p < 0.05. …”
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DDoS attack detection method based on improved convolutional long short-term memory and three-way decision in SDN. by Haizhen Wang, Xiaojing Yang, Na Jia

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Robust molecular subgrouping and reference-free aneuploidy detection in medulloblastoma using low-depth whole genome bisulfite sequencing by Dean Thompson, Jemma Castle, Martin Sill, Stefan M. Pfister, Simon Bailey, Debbie Hicks, Steven C. Clifford, Edward C. Schwalbe

“…We demonstrate that low-pass WGBS data can (i) be integrated into existing array-trained models with high assignment probabilities for both principal molecular groups (97% concordance) and molecular subgroups (94.2% concordance), and (ii) detect clinically relevant focal copy number changes, including SNCAIP, with greater sensitivity than microarray approaches. …”
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Nondestructive detection of sweet potato leaf curl virus using 3D laser imaging combined with deep learning by Yican Yang, Nuwan K. Wijewardane, Tyler J. Slonecki, Phillip A. Wadl, Sharon A. Andreason, Jingdao Chen, Lorin Harvey

“…Therefore, there is a need to establish alternative, point-of-care techniques for SPLCV detection. The goal of this study was to investigate the potential of using 3D point cloud data and deep learning to detect SPLCV. …”
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The Potential of Deep Learning Object Detection in Citizen-Driven Snail Host Monitoring to Map Putative Disease Transmission Sites by Kin Ho Chan, Julius Tumusiime, Liesbet Jacobs, Tine Huyse

“…To address the need for broad-scale and actual snail distribution data to guide snail control, we adopted a citizen science approach and recruited citizen scientists (CSs) to perform weekly snail sampling in an endemic setting in Uganda. …”
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A hybrid optimization-enhanced 1D-ResCNN framework for epileptic spike detection in scalp EEG signals by Priyaranjan Kumar, Prabhat Kumar Upadhyay

“…In the CHB-MIT dataset, comprising 24-channel EEG recordings from 12 patients, the model achieved an accuracy of 99.71%, a sensitivity of 99.60%, and a specificity of 99.61% for detecting epileptic spikes. Similarly, in the Siena dataset, which includes EEG data from 14 adult patients, the model demonstrated an average accuracy of 99.75%. …”
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A Deep Learning based Hybrid Model for Maternal Health Risk Detection and Multifaceted Emotion Analysis in Social Networks by Geethanjali R., Valarmathi A.

“…In the field of public health, accurately identifying maternal health risks through social network data is both vital and challenging due to the complexities of multimodal sentiment analysis. …”
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SODU2-NET: a novel deep learning-based approach for salient object detection utilizing U-NET by Hyder Abbas, Shen Bing Ren, Muhammad Asim, Syeda Iqra Hassan, Ahmed A. Abd El-Latif

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Non-pharmacological delirium detection and management interventions for informal caregivers of older people at home: A scoping review protocol. by Mary T Fox, Ilo-Katryn Maimets, Jeffrey I Butler, Souraya Sidani, Christina Godfrey

“…Concepts of interest include delirium detection and/or management interventions. The context of interest is any setting where informal care is delivered, including the transition from hospital to home, in any geographical area.…”
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Early prediction of CKD from time series data using adaptive PSO optimized echo state networks by Thangadurai Anbazhagan, Balamurugan Rangaswamy

“…Presently, existing methods that effectively detect CKD cannot detect symptoms early on. This problem motivates researchers to work on a predictive model that successfully detects disease symptoms in the early stages. …”
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Research on Rapid Detection Methods of Tea Pigments Content During Rolling of Black Tea Based on Machine Vision Technology by Hanting Zou, Tianmeng Lan, Yongwen Jiang, Xiao-Lan Yu, Haibo Yuan

“…The data show that the Z-score–PCA–ELM model has the best prediction effect for tea pigments. …”
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Advancing Particle Tracking: Self-Organizing Map Hyperparameter Study and Long Short-Term Memory-Based Outlier Detection by Max Klein, Niklas Dormagen, Lukas Wimmer, Markus H. Thoma, Mike Schwarz

“…In this article, we describe how the dependence of the various hyperparameters on different flow scenarios was studied and the optimal settings for diverse flow conditions were identified. …”
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