Cooperative Control for Multi-Agent Systems with Deception Attack Based on an Attack Detection Mechanism by Shuhan Zhang, Kai Zhang, Zhijian Hu

“…First, a DA detection mechanism is proposed using a state observer. …”
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Early detection of Wheat Stripe Mosaic Virus using multispectral imaging with deep-learning by Malithi De Silva, Dane Brown

“…This result suggests filters that capture visible and near-infrared spectrum ranges perform better in identifying WhSMV. These findings show that multispectral images combined with deep-learning models are viable for WhSMV detection in wheat fields, especially for identifying early-stage infections.…”
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The effect of estrus detection by progesterone test kits and clinical examination on conception rates in cows by Mustafa Sönmez, Gaffari Türk, Eşref Demirci

“…In conclusion, the use of practice progesterone tests can be useful lor preventing errors in heat detection and for increasing conception rate in cows which not be detected in estrus by clinical examination.…”
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The Scalable Detection and Resolution of Data Clumps Using a Modular Pipeline with ChatGPT by Nils Baumgartner, Padma Iyenghar, Timo Schoemaker, Elke Pulvermüller

“…This paper explores a modular pipeline architecture that integrates ChatGPT, a Large Language Model (LLM), to automate the detection and refactoring of data clumps—a prevalent type of code smell that complicates software maintainability. …”
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Research on the optimization of grouting flow detection sensor layouts based on laser ranging technology by Lichang Wang, Wei Long, Zhanghui Fei, Zhongli Yang, Meng Xu, Lu Wang

“…Optimal sensor placement in the stable zone reduced measurement errors to 0.83% (power-function-distributed sensors) and 1.12% (uniformly spaced sensors), significantly outperforming electromagnetic flowmeters (up to 20% error). …”
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Optimized Multi-Scale Detection and Numbering of Teeth in Panoramic Radiographs Using DentifyNet by Salih Taha Alperen Ozcelik, Huseyin Uzen, Abdulkadir Sengur, Muammer Turkoglu, Adalet Celebi, Nebras M. Sobahi

“…Manual tooth detection and numbering in panoramic radiographs are time-consuming and prone to human errors, negatively impacting diagnostic accuracy and treatment outcomes. …”
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Benchmarking and optimization of methods for the detection of identity-by-descent in high-recombining Plasmodium falciparum genomes by Bing Guo, Shannon Takala-Harrison, Timothy D O'Connor

“…Notably, IBD detected with optimized parameters allows for more accurate capture of selection signals and population structure; IBD-based Ne inference is very sensitive to IBD detection errors, with IBD called from hmmIBD uniquely providing less biased estimates of Ne in this context. …”
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Glaucoma detection in myopic eyes using deep learning autoencoder-based regions of interest by Christopher Bowd, Akram Belghith, Mark Christopher, Makoto Araie, Aiko Iwase, Goji Tomita, Kyoko Ohno-Matsui, Hitomi Saito, Hiroshi Murata, Tsutomu Kikawa, Kazuhisa Sugiyama, Tomomi Higashide, Atsuya Miki, Atsuya Miki, Toru Nakazawa, Makoto Aihara, Tae-Woo Kim, Christopher Kai Shun Leung, Robert N. Weinreb, Linda M. Zangwill

“…These findings suggest that deep learning models leveraging ROI-based reconstruction error from texture enface images may enhance glaucoma classification in myopic eyes, providing a robust alternative to conventional structural thickness metrics.…”
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Harnessing multimodal approaches for depression detection using large language models and facial expressions by Misha Sadeghi, Robert Richer, Bernhard Egger, Lena Schindler-Gmelch, Lydia Helene Rupp, Farnaz Rahimi, Matthias Berking, Bjoern M. Eskofier

“…We evaluate three approaches: text-based features, facial features, and a combination of both. Our findings show the best results are achieved by enhancing text data with speech quality assessment, with a mean absolute error of 2.85 and root mean square error of 4.02. …”
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Feasibility study of texture-based machine learning approach for early detection of neonatal jaundice by Nanthida Phattraprayoon, Teerapat Ungtrakul, Patiparn Kummanee, Sunisa Tavaen, Tanin Pirunnet, Todsaporn Fuangrod

“…Blind testing demonstrated good performance in bilirubin level prediction (mean absolute error: 1.675 mg/dL; root mean square error: 2.192 mg/dL), with moderate correlation between predicted and measured values (r = 0.644, p < 0.001). …”
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Pointer Meter Reading Recognition Based on YOLOv11-OBB Rotated Object Detection by Xing Xu, Liming Wang, Chunhua Deng, Bi He

“…To address the challenges of insufficient robustness and diminished detection accuracy encountered in practical applications of existing methods for recognizing pointer meter readings based on object detection, we propose a novel approach that integrates YOLOv11-OBB rotating object detection with adaptive template matching techniques. …”
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Enhancing Facial Feature Detection: Hybrid Active Shape and Active Appearance Model (HASAAM) by Musab Iqtait, Jafar Ababneh, Mohammad Rasmi, Amer Abu-Jassar, Suhaila Abuowaida

“…The aim of the HASAAM integrated fitting model is to find new solutions for the feature identification issue by combining the strengths of the Active Shape Model (ASM) and Active Appearance Model (AAM) to provide unique findings on the feature detection problem. …”
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Detection of external defects of tomato crop using appearance parameters by convolutional neural networks by Nima Noorali, Ali Rajabipour, Hamed Sardari, Soleiman Hosseinpour

“…The average detection time per image, encompassing healthy, with calyx, semi-ripe, and defective tomatoes, was 0.048 seconds. …”
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FedDL: personalized federated deep learning for enhanced detection and classification of diabetic retinopathy by Dasari Bhulakshmi, Dharmendra Singh Rajput

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Research on Link Alignment and Signal Detection Technologies for Cross-water Visible Light Communication by YAN Hongqiang, JIANG Ming

“…This scheme can achieve a high accuracy of WE and a Bit Error Rate (BER) performance close to that achieved under ideal channel state conditions.…”
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Research on the Rapid Detection of Formaldehyde Emission From Wood-Based Panels Based on the AMSHKELM by Yinuo Wang, Huanqi Zheng, Hua Wang, Yucheng Zhou

“…This model utilizes sensor data, which provides ease of use and rapid detection, as input and formaldehyde emission data measured by the full-scale chamber method as output. …”
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Awareness of Common Ocular Conditions Among Trinidad Population: A Cross‐Sectional Pilot Study by Ngozika E. Ezinne, Akera Pope, Moesha Tyson

“…ABSTRACT Background and Aims Cataracts, glaucoma, diabetic retinopathy (DR), uncorrected refractive error (URE), and corneal anomalies are some of the leading causes of blindness and visual impairment (VI). …”
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Colistin broth disk elution for the detection of Colistin resistance among Carbapenem-resistant Klebsiella pneumoniae by Phu Thien Truong, Ngoc Bich Tran, Hoang Huy Pham, Van Thi Hue Tran, Hoang Thanh Phan, Binh Thai Pham, Lam Thi Ngoc Tran, Truc Thi Thanh Nguyen, Mai Le Phuong, Dat Quoc Ngo

“…The CA between the two methods was 100 %, and the EA was 91.47 %, with no major errors (ME) or very major errors (VME) detected. Conclusion: The CBDE method has shown a high level of agreement with the reference BMD method, making it a reliable alternative for the routine detection of colistin resistance in microbiology laboratories. …”
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Deception mechanisms of FDA‒AWACS against passive monopulse angle measurements by Bo Wang, Gang Wang, Yonglin Li, Rennong Yang, Yu Zhao

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An end-to-end deep learning solution for automated LiDAR tree detection in the urban environment by Julian R. Rice, G. Andrew Fricker, Jonathan Ventura

“…We compare this model to a number of high-performing baselines on a large and varied dataset in the Southern California region, and find that our method outperforms all baselines in terms of tree detection ability (75.5% F-score) and positional accuracy (2.28 meter root mean squared error), while being highly efficient. …”
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