BiEHFFNet: A Water Body Detection Network for SAR Images Based on Bi-Encoder and Hybrid Feature Fusion by Bin Han, Xin Huang, Feng Xue

“…Water body detection in synthetic aperture radar (SAR) imagery plays a critical role in applications such as disaster response, water resource management, and environmental monitoring. …”
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VIRify: An integrated detection, annotation and taxonomic classification pipeline using virus-specific protein profile hidden Markov models. by Guillermo Rangel-Pineros, Alexandre Almeida, Martin Beracochea, Ekaterina Sakharova, Manja Marz, Alejandro Reyes Muñoz, Martin Hölzer, Robert D Finn

“…Overall, we demonstrate that VIRify is a novel and powerful resource that offers an enhanced capability to detect a broad range of viral contigs and taxonomically classify them.…”
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Short-Circuit Protection Circuit With Current Slope-to-Digital Conversion Short-Circuit Detection and Adaptive Soft Turn-Off by Seungjik Lee, Jinman Myung, Geonwoo Park, Yoseph Kim, Ockgoo Lee, Ilku Nam

“…It ensures that the drain–source voltage overshoot remains below 14.5% of the drain–source voltage while achieving a consistent response delay of approximately 750 ns for short-circuit detection and a turn-off time of approximately 500 ns for soft turn-off operation.…”
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Wearable MXene-enhanced organic Bio-FET paper patch for glucose detection in sweat with pH and temperature calibration by Milad Farahmandpour, Zoheir Kordrostami

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DETECTION AND SYSTEMATIZATION OF SIGNS AND MARKERS OF MODIFICATIONS IN MEDIA CONTENT FOR THE DEVELOPMENT OF A METHODOLOGY TO ENHANCING CRITICAL THINKING IN THE ERA OF DEEPFAKES by Ганна Чемерис

“…The paper focuses on creating a comprehensive framework for detecting manipulated content and identifying indicators such as pixelization, unnatural expressions, etc. …”
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A Fault-Tolerant Localization Method for 5G/INS Based on Variational Bayesian Strong Tracking Fusion Filtering with Multilevel Fault Detection by Zhongliang Deng, Ziyao Ma, Haiming Luo, Jilong Guo, Zidu Tian

“…Sudden and gradual faults were quickly detected through a dual-channel pre-check, and then, the fault source was identified through AIME. …”
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Functional characterization of a novel plant growth-promoting rhizobacterium enhancing root growth and salt stress tolerance by Sanghee Lee, Young Kook Kim, Haulin Nie, Jongmin Ahn, Nayoung Kim, Seo-Rin Ko, Ah-Hyeon Choi, Hayoung Kwon, Yuxin Peng, Suk-Yoon Kwon, Ah-Young Shin

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Location and function of TDP-43 in platelets, alterations in neurodegenerative diseases and arising considerations for current plasma biobank protocols by Ruth Luthi-Carter, Sara Cappelli, Morgan Le Roux-Bourdieu, Noemie Tentillier, James P. Quinn, Tiziana Petrozziello, Lathika Gopalakrishnan, Purva Sethi, Himanshi Choudhary, Giorgia Bartolini, Elias Gebara, Cristiana Stuani, Laure Font, Jiyan An, Vanessa Ortega, Jessica Sage, Edina Kosa, Bianca A. Trombetta, Roberto Simeone, Tamara Seredenina, Tariq Afroz, James D. Berry, Steven E. Arnold, Becky C. Carlyle, Oskar Adolfsson, Ghazaleh Sadri-Vakili, Emanuele Buratti, Robert Bowser, Abdulbaki Agbas

“…Here, we explore its tractability as a plasma biomarker of disease and describe its localization and possible functions in the cytosol of platelets. Novel TDP-43 immunoassays were developed on three different technical platforms and qualified for specificity, signal-to-noise ratio, detection range, variation, spike recovery and dilution linearity in human plasma samples. …”
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Empowering Healthcare: TinyML for Precise Lung Disease Classification by Youssef Abadade, Nabil Benamar, Miloud Bagaa, Habiba Chaoui

“…However, it has limitations, such as a lack of recording functionality, dependence on the expertise and judgment of physicians, and the absence of noise-filtering capabilities. …”
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Enhancing microseismic event detection with TransUNet: A deep learning approach for simultaneous pickings of P-wave and S-wave first arrivals by Kun Chen, Meng Li, Xiaolian Li, Guangzhi Cui, Jia Tian, JiaLe Li, RuoYao Mu, JunJie Zhu

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Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment by Sarah A. Alzakari, Mohammad Alamgeer, Abdullah M. Alashjaee, Monir Abdullah, Khalid Nazim Abdul Sattar, Asma Alshuhail, Ahmad A. Alzahrani, Abdulwhab Alkharashi

“…Detecting DoW threats involves monitoring and analyzing the system-level resource consumption of specific bare-metal mechanisms. …”
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Effect of melatonin, zinc sulfate, nano-melatonin, and nano-zinc oxide on mitochondria function and developmental competence of buffalo oocytes by Omaima Mohamed Kandil, Heba Elsaeed Elsehy, Nabil Mohamed Baker, Mohamed Asran Elbehiry, Sayed Ahmed Hattab

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Three-Dimensional Real-Scene-Enhanced GNSS/Intelligent Vision Surface Deformation Monitoring System by Yuanrong He, Weijie Yang, Qun Su, Qiuhua He, Hongxin Li, Shuhang Lin, Shaochang Zhu

“…The system integrates GNSS monitoring terminals and multi-source meteorological sensors to accurately capture minute displacements at monitoring points and multi-source Internet of Things (IoT) data, which are then automatically stored in MySQL databases. …”
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ATClean: A Novel Method for Detecting Low-luminosity Transients and Application to Pre-explosion Counterparts from SN 2023ixf by S. Rest, A. Rest, C. D. Kilpatrick, J. E. Jencson, S. von Coelln, L. Strolger, S. Smartt, J. P. Anderson, A. Clocchiatti, D. A. Coulter, L. Denneau, S. Gomez, A. Heinze, R. Ridden-Harper, K. W. Smith, B. Stalder, J. L. Tonry, Q. Wang, Y. Zenati

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Innovative Sandia Frequency Shift Islanding Detection for Microgrids Using Interval Type-II Fuzzy Logic and VP-PSO Optimization by Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Yeonwoo Lee, Sun-Kyoung Kang, Ilhami Colak, El Manaa Barhoumi, Kei Eguchi

“…The proposed approach further integrates a variable-parameter PSO (VP-PSO) algorithm to optimize both fuzzy membership functions and controller parameters. Comprehensive simulations demonstrate 100% detection accuracy for both PV and wind farm islanding scenarios, significantly outperforming conventional methods: standard SFS (84-86%), type-1 fuzzy SFS (89-91%), and neural network approaches (94-95%). …”
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A diagnosis method based on graph neural networks embedded with multirelationships of intrinsic mode functions for multiple mechanical faults by Bin Wang, Manyi Wang, Yadong Xu, Liangkuan Wang, Shiyu Chen, Xuanshi Chen

“…Additionally, a graph-level based fault diagnosis network model is designed to enhance feature learning capabilities for graph samples and enable flexible application across diverse signal sources and devices. Experimental validation with datasets including independent vibration signals for gear fault detection, mixed vibration signals for concurrent gear and bearing faults, and pressure signals for hydraulic cylinder leakage characterization demonstrates the model's adaptability and superior diagnostic accuracy across various types of signals and mechanical systems.…”
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Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems by Huthaifa I. Ashqar, Taqwa I. Alhadidi, Mohammed Elhenawy, Nour O. Khanfar

“…Two primary research questions are addressed: the capacity of these models to detect and enumerate objects within thermal images, and to determine whether pairs of image sources represent the same scene. …”
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Enhanced YOLOv7-Tiny for Small-Scale Fire Detection via Multi-Scale Channel Spatial Attention and Dynamic Upsampling by Shihao Wu, Yi Xia

“…Furthermore, the Focaler-IoU loss function is employed to focus the model on hard samples, enhancing the accuracy of small fire detection. …”
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The accuracy of a novel stunting risk detection application based on nutrition and sanitation indicators in children aged under five years by Tria Astika Endah Permatasari, Yudi Chadirin, Ernirita Ernirita, Anisa Nurul Syafitri, Devina Alifia Fadhilah

“…It accurately detected children at risk of stunting with an AUC of 89.6%. …”
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Research on intelligent identification of microscopic substances in shale scanning electron microscope images based on deep learning theory by Ruigang Zhang, Xiangru Chen, Xin Tang, Qiuqi Chen, Sen Guo, Cheng Liu, Zhengchao Guo, Yuerong Zhou, Xiaoyi Zhou

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