A new approach to keratoconus detection based on corneal morphogeometric analysis. by Francisco Cavas-Martínez, Laurent Bataille, Daniel G Fernández-Pacheco, Francisco J F Cañavate, Jorge L Alió

“…Topographic information (Sirius, CSO, Italy) was processed with SolidWorks v2012 and a solid model representing the geometry of each cornea was generated. …”
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Damage Detection Method for Road Ancillary Facilities Integrating Attention Mechanism by Shuang Yang, Huiqin Wang, Ke Wang, Nan Guo

“…Additionally, the improved AR-BiFormer attention mechanism is integrated into the backbone network, enabling adaptive weight adjustment of feature maps through parallel processing of contextual information, thereby effectively improving the detection of small targets in complex scenes. …”
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Out-of-Distribution Node Detection Based on Graph Heat Kernel Diffusion by Fangfang Li, Yangshuai Wang, Xinyu Du, Xiaohua Li, Ge Yu

“…This paper introduces graph diffusion to the OOD detection task for the first time, proposing the HOOD model, a graph diffusion-based OOD node detection algorithm. …”
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Enhanced Lightweight YOLO Model for Efficient Vehicle Detection in Satellite Imagery by Mohamad Haniff Junos, Anis Salwa Mohd Khairuddin, Elmi Abu Bakar, Ahmad Faizul Hawary

“…However, these models have complex architectures that require powerful processing units to train while generating a large number of parameters and achieving slow detection speed on embedded devices. …”
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Molecular Detection of Gene Mutation Related to Drug Resistance in Mycobacterium leprae by Saumya Shukla, Shaina Gaikwad, Dhandapani Sureshgopi, Vivek Kumar Chouksey, Chandrashekhar Pathe, Jerene Mathews, Jitendra Singh, Shashank Purwar, Debasis Biswas, Pushpendra Singh, Anand Kumar Maurya

“…Fifteen samples that tested positive for acid-fast bacilli were further processed. Amplification of folP1, rpoB and gyrA genes was performed using polymerase chain reaction, followed by automated capillary sequencing to identify mutations associated with dapsone, rifampicin, and ofloxacin resistance, respectively, in M. leprae. …”
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An ensemble learning framework for enhanced anomaly and failure detection in IoT systems by Ismail Bibers, Mustafa Abdallah

“…In this study, we propose a flexible ensemble-based anomaly detection framework tailored for IoT environments. …”
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Comparative Analysis of Deep Learning Models for Intrusion Detection in IoT Networks by Abdullah Waqas, Sultan Daud Khan, Zaib Ullah, Mohib Ullah, Habib Ullah

“…However, the constrained processing capacities and resource limitations of IoT networks make them especially susceptible to cyber threats. …”
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YOLO-SCNet: A Framework for Enhanced Detection of Small Lunar Craters by Wei Zuo, Xingye Gao, Di Wu, Jiaqian Liu, Xingguo Zeng, Chunlai Li

“…The study of impact craters is crucial for understanding planetary evolution and geological processes, particularly small craters, which are key to reconstructing the lunar impact history. …”
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Establishment of UDG-LAMP-LFD Detection System for Aflatoxin-producing Bacteria by Hongyu AN, Chen CHEN, Yanhua WANG, Zenghui LU, Ze TAO, Ke WANG, Tuoping LI, Suhong LI

“…The UDG-LAMP-LFD system was demonstrated to be suitable for the timely detection of aflatoxin-producing bacteria in grain and oil raw materials prior to processing and storage, so that the risk of contamination was predicted in advance, prevention and control measures were implemented, and loss reduction and quality improvement were achieved.…”
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Using motion‐detection cameras to monitor foraging behaviour of individual butterflies by Denise Dalbosco Dell’Aglio, Owen W. McMillan, Stephen Montgomery

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Investigating feature extraction by SIFT methods for prostate cancer early detection by Shadan Mohammed Jihad, Ali A. Alsaud, Firas H. Almukhtar, Shahab Kareem, Raghad Zuhair Yousif

“…Globally, for this leading type of cancer among males, early detection is indispensable for increasing treatment success rates and prognoses of the patients. …”
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Detection of sugar beet seed coating defects via deep learning by Abdullah Beyaz, Zülfi Saripinar

“…Therefore, it is possible that the negative effects of changing operating conditions can be brought into full control with image processing technologies.…”
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Automatic Detection of Laparoscopic Videos Distortion Using Machine Learning Classification by Mohamed Belmokeddem, Kamila Khemis, Salim Loudjedi

“…Conclusion: The experimental results showcased in this paper underscore the efficacy of the proposed approach in automatically detecting distortions in a laparoscopic video. The method exhibits high performance, excelling in both accuracy and processing speed. …”
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Neuropathic Pain Detection: An EEG-Based Brain Functional Network Approach by Abdulyekeen T. Adebisi, Ho-Won Lee, Kalyana C. Veluvolu

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Contextual information based anomaly detection for multi-scene aerial videos by Girisha S, Ujjwal Verma, Manohara M M. Pai, Radhika M. Pai

“…Abstract Aerial video surveillance using Unmanned Aerial Vehicles (UAV) is gaining much interest worldwide due to its extensive applications in monitoring wildlife, urban planning, disaster management, anomaly detection, campus security, etc. These videos are processed and analyzed for strange/odd/anomalous patterns, which are essential requirements of surveillance. …”
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Personalizing Seizure Detection for Individual Patients by Optimal Selection of EEG Signals by Rosanna Ferrara, Martino Giaquinto, Gennaro Percannella, Leonardo Rundo, Alessia Saggese

“…This study introduces an innovative, lightweight deep learning system optimized for real-time seizure detection in personalized wearable devices. The system uses an efficient Convolutional Neural Network that processes data from just two channels. …”
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Deep Transfer Learning Approach in Smartwatch-Based Fall Detection Systems by Alessandro Leone, Andrea Manni, Gabriele Rescio, Pietro Siciliano, Andrea Caroppo

“…This study introduces a fall detection system utilizing an affordable consumer smartwatch and smartphone with edge computing capabilities for implementing AI algorithms. …”
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Evaluation of three rapid assays for detecting Mycoplasma pneumoniae in nasopharyngeal specimens by Chenglin Yang, Ziyi Wang, Lingjun Kong, Juan Du, Jie Yi

“…Despite variations in detection principles, sample volume, and pre-preparation among the three assays, they all had a turnaround time of less than 30 min with low-throughput processing. …”
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Research on Lightweight Method of Insulator Target Detection Based on Improved SSD by Bing Zeng, Yu Zhou, Dilin He, Zhihao Zhou, Shitao Hao, Kexin Yi, Zhilong Li, Wenhua Zhang, Yunmin Xie

“…Aiming at the problems of a large volume, slow processing speed, and difficult deployment in the edge terminal, this paper proposes a lightweight insulator detection algorithm based on an improved SSD. …”
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Biological functions of cobalt and its toxicology and detection in anti-doping control by I. V. Pronina, E. S. Mochalova, Yu. A. Efimova, P. V. Postnikov

“…A group of these stimulants includes cobalt salts, which cause an increase in the oxygen capacity of the blood as well as a powerful stimulation of metabolic processes, resulting innoticeable competitive advantages. …”
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