Detection of CWD prions in urine and saliva of deer by transgenic mouse bioassay. by Nicholas J Haley, Davis M Seelig, Mark D Zabel, Glenn C Telling, Edward A Hoover

“…In addition, PrP(CWD) was detected in pooled and concentrated urine by protein misfolding cyclic amplification (PMCA). …”
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Attention dual transformer with adaptive temporal convolutional for diabetic retinopathy detection by Mishmala Sushith, Ajanthaa Lakkshmanan, M. Saravanan, S. Castro

“…Abstract An Attention Dual Transformer with Adaptive Temporal Convolutional (ADT-ATC) model is proposed in this research work for enhanced detection of Diabetic Retinopathy (DR) from retinal fundus images. …”
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A DFT insight into the potential of cycloparaphenylenes as efficient sensors for detecting Paracetamol by Wael A. Mahdi, Adel Alhowyan, Ahmad J. Obaidullah

“…This study presents a computational investigation into the sensing capabilities of methylene-bridged [n]cycloparaphenylene ([n]MCPP, where n= 6, 8, and 10) nanorings for the detection of paracetamol using density functional theory (DFT) calculations. …”
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From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering by Armelle Brun, Sylvain Castagnos, Anne Boyer

“…We propose to take inspiration from local community detection algorithms to form communities of users and deduce the set of mentors of a given user. …”
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Advancing Image Forensic: Detecting Facial Manipulations via Meso_KNN by Hazem Issa, Bayan Zarnahji

“…What distinguishes this model is its focus on important features in facial images that represent vital characteristics of facial manipulation. Additionally, it harnesses the capabilities of K-nearest neighbors for classification, achieving outstanding efficiency in detecting various types of facial manipulation. …”
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Photovoltaic Array Fault Detection Using Ensemble Learning-Based Technique by Anshul Shekhar, M. Senthil Kumar

“…The proposed technique achieves a promising fault detection accuracy of 99.72%. Additionally, the performance of the proposed technique is evaluated and compared with other artificial intelligence-based techniques. …”
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Enhanced object detection in low-visibility haze conditions with YOLOv9s. by Yang Zhang, Bin Zhou, Xue Zhao, Xiaomeng Song

“…Low-visibility haze environments, marked by their inherent low contrast and high brightness, present a formidable challenge to the precision and robustness of conventional object detection algorithms. This paper introduces an enhanced object detection framework for YOLOv9s tailored for low-visibility haze conditions, capitalizing on the merits of contrastive learning for optimizing local feature details, as well as the benefits of multiscale attention mechanisms and dynamic focusing mechanisms for achieving real-time global quality optimization. …”
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GuardianAI: Privacy-preserving federated anomaly detection with differential privacy by Abdulatif Alabdulatif

“…To address these threats, this paper presents GuardianAI, a novel federated anomaly detection framework that incorporates advanced differential privacy techniques, including Gaussian noise addition and secure aggregation protocols, specifically designed to mitigate these attacks. …”
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Explainable AI for Alzheimer Detection: A Review of Current Methods and Applications by Fatima Hasan Saif, Mohamed Nasser Al-Andoli, Wan Mohd Yaakob Wan Bejuri

“…In this review, we critically evaluate current explainable AI (XAI) methods applied to AD detection and highlight their limitations. In addition, a new interpretability framework, called “Feature-Augmented”, was theoretically designed to improve model interpretability. …”
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A Survey of Dense Object Detection Methods Based on Deep Learning by Yang Zhou, Hui Li

“…Additionally, we introduce several datasets and evaluation metrics relevant to dense object detection tasks. …”
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Ventricular Fibrillation Prediction and Detection: A Comprehensive Review of Modern Techniques by Monica Fira, Hariton-Nicolae Costin, Liviu Goraș

“…However, real-world implementation encounters several challenges, including difficulties in accurately interpreting ECG signals, the variability in individual physiological responses, and the infrequency of ventricular fibrillation events. Additionally, there are issues related to the critical timing required for detecting VF, the presence of similar arrhythmias, the need for adaptation to new ECG devices, energy consumption concerns, and the complex process of obtaining regulatory and legislative approvals for integrating software components into medical equipment. …”
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LANA-YOLO: Road defect detection algorithm optimized for embedded solutions by Paweł TOMIŁO

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Emerging Technologies and Integrated Strategies for Microbial Detection and Control in Fresh Produce by Ayman Elbehiry, Eman Marzouk, Feras Alzaben, Abdulaziz Almuaither, Banan Abead, Mohammed Alamri, Abdulaziz M. Almuzaini, Akram Abu-Okail

“…Additionally, this review discusses cutting-edge control strategies, such as natural antifungal agents, essential oils, biocontrol methods, and non-thermal technologies like cold plasma and UV-C treatment. …”
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Evolutionary variation of the monkeypox virus detected for the first time in Nantong, Jiangsu by Xingpei Ji, Ruyue Liang, Chao Bao, Xiuli Cai, Shiyao Chen, Lu Chen, Li Li, Xiaolei Ji

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Recent advances in detection techniques for vitamin analysis: A comprehensive review by Xiangrui Li, Huan Lv, Wencan Luo, WenJia Yang, Linghong Kong, Qiujin Zhu, Lu Zeng

“…However, vitamins are highly susceptible to degradation by light, heat, oxygen, and interactions with other food components during processing and storage. Additionally, insufficient intake or malabsorption can lead to vitamin deficiencies, resulting in various diseases. …”
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Foreign Object Detection on Insulators Based on Improved YOLO v3 by Huankun ZHANG, Junyi LI, Bin ZHANG

“…A dense network is designed to replace one of the convolutional layers of the original network in order to realize the multi-layer feature reuse and fusion of the insulator, which improves the detection accuracy. In addition, we amplify the training set to improve the training effect of the network and propose a wrong detection cost function to measure the risk of false detection. …”
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The role of errorful and errorless training on error detection and learning of tracking task by Ehsan Zareıan, Karen Baranı, Majid Arab, Mehdi Dastfal

“…The results showed that in addition to the influence of errorful and errorless training methods on detecting error in tracking task, there is a difference between the effect of these methods in detecting error and the errorless training method has a more positive effect on participants' error detecting ability in the tracking task.…”
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Portable motorized telescope system for wind turbine blades damage detection by Alejandro Carnero, Cristian Martín, Manuel Díaz

“…The proposed low‐cost inspection system for detecting surface damages on blades has been experimentally validated in a real wind farm.…”
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Efficient lung cancer detection using computational intelligence and ensemble learning. by Richa Jain, Parminder Singh, Mohamed Abdelkader, Wadii Boulila

“…Our proposed method employs Logistic Regression, MLP Classifier, Gaussian NB Classifier, and Intelligent Feature Selection using K-Means and Fuzzy Logic to enhance detection procedures in lung cancer dataset. Additionally, ensemble learning is incorporated through a voting classifier. …”
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Adaptive Cooperative Search Algorithm for Air Pollution Detection Using Drones by Il-kyu Ha

“…The findings serve as an important reference for research on drone-assisted target exploration, including air pollution detection.…”
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