Swift Transfer of Lactating Piglet Detection Model Using Semi-Automatic Annotation Under an Unfamiliar Pig Farming Environment by Qi’an Ding, Fang Zheng, Luo Liu, Peng Li, Mingxia Shen

“…To address this, we propose a semi-automatic approach within an active learning framework that integrates a pre-annotation model for piglet detection. We further examine how data sample composition influences pre-annotation efficiency to enhance the deployment of lactating piglet detection models. …”
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Integrating genome-wide genetic variations and monocyte expression data reveals trans-regulated gene modules in humans. by Maxime Rotival, Tanja Zeller, Philipp S Wild, Seraya Maouche, Silke Szymczak, Arne Schillert, Raphaele Castagné, Arne Deiseroth, Carole Proust, Jessy Brocheton, Tiphaine Godefroy, Claire Perret, Marine Germain, Medea Eleftheriadis, Christoph R Sinning, Renate B Schnabel, Edith Lubos, Karl J Lackner, Heidi Rossmann, Thomas Münzel, Augusto Rendon, Cardiogenics Consortium, Jeanette Erdmann, Panos Deloukas, Christian Hengstenberg, Patrick Diemert, Gilles Montalescot, Willem H Ouwehand, Nilesh J Samani, Heribert Schunkert, David-Alexandre Tregouet, Andreas Ziegler, Alison H Goodall, François Cambien, Laurence Tiret, Stefan Blankenberg

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Epidemiological features of travel-related cases Mpox (Monkeypox) cases detected at airports in Pakistan; Insights from Screening Surveillance by Dr Nadia Noreen

“…Contact tracing of contacts at airports and healthcare settings was undertaken. Data analysis was done as descriptive statistics as percentages and frequencies using Epi info version 7 and SPSS version 24. …”
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Multitaper Magnitude‐Squared Coherence for Time Series With Missing Data: Understanding Oscillatory Processes Traced by Multiple Observables by Sarah E. Dodson‐Robinson, Charlotte Haley

“…This situation is common for solar and geomagnetic data sets, which may have gaps due to breaks in satellite coverage, instrument downtime, or poor observing conditions. …”
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Federated Learning for COVID-19 Detection: Artificial Intelligence-Assisted Diagnosis from Unsegmented Chest Computed Tomography Scans by Lucian Mihai FLORESCU, Cristina Mihaela CIOFIAC, Ioana-Andreea CÎRLIG, Rossy Vladut TEICĂ, Ioana Andreea GHEONEA

“…Conclusions: These findings suggest that FL can effectively facilitate collaborative model development across institutions while preserving data privacy, offering a viable adjunct diagnostic tool to enhance COVID-19 detection and patient management. …”
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Deep Learning Techniques for Lung Cancer Diagnosis with Computed Tomography Imaging: A Systematic Review for Detection, Segmentation, and Classification by Kabiru Abdullahi, Kannan Ramakrishnan, Aziah Binti Ali

“…This systematic review examined the advancements, challenges, and clinical implications of DL in lung cancer diagnosis via CT imaging, focusing on model performance, data variability, generalizability, and clinical integration. …”
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Evaluating cognitive decline detection in aging populations with single-channel EEG features based on two studies and meta-analysis by Lior Molcho, Neta B. Maimon, Talya Zeimer, Ofir Chibotero, Sarit Rabinowicz, Vered Armoni, Noa Bar On, Nathan Intrator, Ady Sasson

“…Abstract Timely detection of cognitive decline is paramount for effective intervention, prompting researchers to leverage EEG pattern analysis, focusing particularly on cognitive load, to establish reliable markers for early detection and intervention. …”
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Structural characterization of the Zalm district, West Saudi Arabia, using aeromagnetic data: An approach for gold mineral exploration by Alzahrani Hassan, Ibrahim Elkhedr

“…In the present study, the structural framework and major structural trends that most likely control the distribution of the gold mineral deposits in the Zalm district are interpreted using aeromagnetic data. For this purpose, the aeromagnetic data were subjected to enhancement filters to make the structural interpretation of the data easier. …”
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Toward accurate and scalable rainfall estimation using surveillance camera data and a hybrid deep-learning framework by Fiallos-Salguero Manuel, Soon-Thiam Khu, Jingyu Guan, Mingna Wang

“…However, traditional rainfall measurement methods face limitations regarding spatial coverage, temporal resolution, and data accessibility, particularly in urban settings. …”
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Application of Machine Learning Models for the Early Detection of Metritis in Dairy Cows Based on Physiological, Behavioural and Milk Quality Indicators by Karina Džermeikaitė, Justina Krištolaitytė, Ramūnas Antanaitis

“…This study provides novel evidence that ML methods can effectively detect metritis using routinely collected, non-invasive on-farm data. …”
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Design of an Improved Model Using Neuro-Symbolic Encoding and Federated Meta-Adaptation for Plant Disease Detection and Explanation Process by Kurhe Prajakta, Dashore Pankaj

“…The conventional methods in deep learning are exceedingly accurate, but they fail to capture phenotypic subtlety within the limit of the context of fixed settings. They are also not able to treat the data imbalance or transfer in adaptation for many diverse geographies, or interpretability and actionability, which are requirements for real-world deployment in multifunctional heterogeneous agro-ecological settings. …”
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Automatic Detection of Occluded Main Coronary Arteries of NSTEMI Patients with MI-MS ConvMixer + WSSE Without CAG by Mehmet Cagri Goktekin, Evrim Gul, Tolga Çakmak, Fatih Demir, Mehmet Ali Kobat, Yaman Akbulut, Ömer Işık, Zehra Kadiroğlu, Kürşat Demir, Abdulkadir Şengür

“…<b>Methods</b>: A new Multi Input-Multi Scale (MI-MS) ConvMixer model was developed for automatic detection. The MI-MS ConvMixer model allows simultaneous training of 12-channel ECG data and highlights different regions of the data at different scales. …”
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Genomic surveillance of Canadian airport wastewater samples allows early detection of emerging SARS-CoV-2 lineages by Alyssa K. Overton, Jennifer J. Knapp, Opeyemi U. Lawal, Richard Gibson, Anastasia A. Fedynak, Adebowale I. Adebiyi, Brittany Maxwell, Lydia Cheng, Carina Bee, Asim Qasim, Kyle Atanas, Mark Payne, Rebecca Stuart, Manon D. Fleury, Natalie C. Knox, Delaney Nash, Yemurayi C. Hungwe, Samran R. Prasla, Hannifer Ho, Simininuoluwa O. Agboola, Su-Hyun Kwon, Shiv Naik, Valeria R. Parreira, Fozia Rizvi, Melinda J. Precious, Steven Thomas, Marcos Zambrano, Vixey Fang, Elaine Gilliland, Monali Varia, Maureen Horn, Chrystal Landgraff, Eric J. Arts, Lawrence Goodridge, Devan Becker, Trevor C. Charles

“…Initial detections of emerging lineages were compared between Toronto Pearson WW samples, municipal WW samples collected from the surrounding regions, and Ontario clinical data as published by Public Health Ontario. …”
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Deep learning-based pneumonia detection from chest X-ray images using a convolutional neural network by Мухриддин Араббоев, Шохрух Бегматов

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Comparative evaluation of in-house ELISA and two commercial serological assays for the detection of antibodies against SARS-CoV-2 by Dabesa Gobena, Esayas Kebede Gudina, Tizta Tilahun Degfie, Tsinuel Girma, Getu Gebre, Alemseged Abdissa, Fikadu G. Tafesse, Tesfaye Gelanew, Zeleke Mekonnen

“…In April 2021, serum samples were collected from 1441 students across 60 schools in Oromia, from 15 hotspot districts and towns. Socio-demographic data were gathered using CSentryCSProDataEntry7.2.1. …”
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Attention Lempel-Ziv complexity: an improved Lempel-Ziv complexity with high computational efficiency for bearing early fault detection by Jiancheng Yin, Wentao Sui, Xuye Zhuang, Yunlong Sheng

“…Finally, the attention Lempel-Ziv complexity is calculated by integrating Lempel-Ziv complexity of different intervals. The four sets of life-cycle data from two life-cycle datasets verify that the method can effectively realize the early fault detection of bearings. …”
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A Mediation Analysis to Detect the Effects of Servant Leadership on Teacher Organizational Citizenship Behavior Using PLS-SEM and IPMA by Shanshan Cheng, Jirui Dong, Hui Sui, Peng Wang, Shu-Jing Wu

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Software with artificial intelligence-derived algorithms for detecting and analysing lung nodules in CT scans: systematic review and economic evaluation by Julia Geppert, Peter Auguste, Asra Asgharzadeh, Hesam Ghiasvand, Mubarak Patel, Anna Brown, Surangi Jayakody, Emma Helm, Dan Todkill, Jason Madan, Chris Stinton, Daniel Gallacher, Sian Taylor-Phillips, Yen-Fu Chen

“…Twenty-four of the included studies used retrospective data sets. Seventeen compared readers with and without artificial intelligence software. …”
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Contactless Detection of Abnormal Breathing Using Orthogonal Frequency Division Multiplexing Signals and Deep Learning in Multi-Person Scenarios by Muneeb Ullah, Xiaodong Yang, Zhiya Zhang, Tong Wu, Nan Zhao, Lei Guan, Malik Muhammad Arslan, Akram Alomainy, Hafiza Maryum Ishfaq, Qammer H. Abbasi

“…The dataset, collected in an office environment, includes complex scenarios with multiple subjects, demonstrating the system&#x0027;s effectiveness in distinguishing individual breathing patterns, even in multi-person settings. <italic>Conclusions:</italic> This research advances contactless respiratory monitoring by offering a reliable, scalable solution for real-time detection and classification of respiratory conditions. …”
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Design of tomato picking robot detection and localization system based on deep learning neural networks algorithm of Yolov5 by Jianwei Zhao, Wei Bao, Leiyu Mo, Zhiting Li, Yushuo Liu, Jiaqing Du

“…In a greenhouse setting, 640 tomato images were collected and categorized into three classes: unobstructed, leaf-covered, and branch-covered.Data augmentation techniques, including rotation, translation, and CutMix, were applied to the collected images, and the YOLOv5 model was trained using a warmup strategy.Through a comparative analysis of different object detection algorithms on the tomato dataset, the feasibility of using the YOLOv5 deep learning algorithm for tomato detection was validated. …”
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