Community Detection in Social Network Based on Node Influence Expansion by YANG Hailu, ZHAO Xin, CHEN Chen, WANG Lili

“…Finally, to finish the process of community detection, dynamic programming is employed for seed expansion.The results of the experiments reveal that community detection based on node influence expansion can effectively discover the community structure with small granularity and has certain performance advantages in modularity, D-score, and other indicators.…”
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Loss Adaptive Curriculum Learning for Ground-Based Cloud Detection by Tianhong Qi, Yanyan Hu, Juan Wang

“…While deep learning has advanced object detection through hierarchical feature learning and end-to-end optimization, conventional random sampling paradigms exhibit critical limitations in addressing hyperspectral ambiguity and low-distinguishability challenges in ground-based cloud detection. …”
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Polymethacrylate Sphere-Based Assay for Ultrasensitive miRNA Detection by Samira Hosseini, Patricia Vázquez-Villegas, Richard C. Willson, Marco Rito-Palomares, Margarita Sanchez-Dominguez, Leo H. Koole, Marc J. Madou, Sergio O. Martínez-Chapa

“…Furthermore, MiR159 presence, which is known to be inversely correlated to breast cancer incidence and progression, was successfully detected in a competitive assay, which is promising for upgrading the current assay to clinical use.…”
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Anomaly detection research using Isolation Forest in Machine Learning by A. S. Kechedzhiev, O. L. Tsvetkova

“…The study is devoted to assessing the applicability of the Isolation Forest method in the task of detecting anomalies in network traffic data characterized by insufficient markup. …”
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DAGAN-Based Gait Features Augmentation for Ankle Instability Detection by Xin Liu, Yao Zhang, Yuwei Jiao, Bin Zheng, Qinwei Guo, Yuanyuan Yu, Aziguli Wulamu

“…We developed a computer-aided program for the diagnosis of ankle ligament injury. …”
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A deep learning-based approach for the detection of cucumber diseases. by Lars Raufer, Jasper Wiedey, Malte Mueller, Pascal Penava, Ricardo Buettner

“…Traditional methods, reliant on human inspection, are prone to errors, especially in the early stages of disease progression. Based on a VGG19 architecture, this paper uses an innovative transfer learning approach for detecting and classifying cucumber diseases, showing the applicability of artificial intelligence in this area. …”
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Detection of Staphylococcus and Escherichia coli in the ocular microbiota of Persian cats by Yasaman Noorzadeh, Ghazal Aftab, Seyed Morteza Razaghi Manesh, Tarlan Ahmadi

“…The presence of pathogenic bacteria, including Staphylococcus aureus and Escherichia coli, highlights the potential role of specific species in the development and progression of ocular conditions in Persian cats. Fungal species, including Aspergillus spp., Candida spp., and Malassezia spp., were also detected, emphasizing the need to consider fungal etiologies in the diagnosis and management of ocular diseases in this breed. …”
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PID-CD: PID Control is What Change Detection Needs by Zhiwei Ye, Shirui Sheng, Qiyi He, Mingwei Wang, Chuan Xu, Zhina Song, Ziqian Fang, Liye Mei, Lingyu Yan, Xudong Lai

“…Remote sensing change detection (RSCD) is a remote sensing technique used to identify geomorphological changes in bitemporal images of the same region. …”
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Threshold detection by fitting segmented regression models in Microsoft Excel by Amy J Hopper, Angus M Brown

“…•The method does not require any specialist programming knowledge.…”
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Malicious Traffic Detection on Tofino Using Graph Attention Model by Xichang Gao, Lizhuang Tan, Shengpeng Chen, Peiying Zhang, Jian Wang

“…With the surge of malicious traffic in networks, existing detection methods struggle to balance real-time performance and efficiency. …”
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Alzheimer’s Detection through 3D Convolutional Neural Networks by Ryan Hogan, Christoforos Christoforou

“…The goal of this research is to measure the efficacy and predictability of 3D convolutional networks in detecting the progression of neurodegeneration within MRI brain scans of HC and AD patients.…”
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Improving detectability of illegal fishing activities across supply chains by Rodrigo Oyanedel, Stefan Gelcich, E. J. Milner-Gulland, Chris Wilcox

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Liquid biopsy of gliomas with detection of extracellular tumor nucleic acids by Tagir I. Rakhmatullin, Mark Jain, Larisa M. Samokhodskaya, Andrey A. Zuev

“…Besides, this disease is characterized by high recurrence rates, despite the advances in developing resection and chemotherapy — based technologies. The early detection of oncological diseases located in the central nervous system and the differential diagnostics of tumor pseudo progression, not affecting the survival of the patient, represents a challenge for modern Medicine. …”
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Autonomous Driving Road Environment Recognition with Multiscale Object Detection by Jeny J.R.V., Divya Phulari, Varsha Kolanu, Mrunalini Anantha, Irfan S.K.M.

“…Using cutting-edge deep learning techniques, this research presents a novel way for autonomous road environment classification and item detection. It focuses on combining Yolov5 and multiscale small object detection models. …”
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Indoor fire and smoke detection based on optimized YOLOv5. by Md Shafak Shahriar Sozol, M Rubaiyat Hossain Mondal, Achmad Husni Thamrin

“…Ensuring safety and safeguarding indoor properties require reliable fire detection methods. Traditional detection techniques that use smoke, heat, or fire sensors often fail due to false positives and slow response time. …”
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Self‐Learning e‐Skin Respirometer for Pulmonary Disease Detection by Anand Babu, Getnet Kassahun, Isabelle Dufour, Dipankar Mandal, Damien Thuau

“…From conception to validation, the approach not only provides an alternative pathway for tracking the progression of lung diseases but also has the capability to replace the conventional techniques, with the conformable AI‐empowered respirometer.…”
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Coordination of Nanoconjugation with an Antigen/Antibody for Efficient Detection of Gynecological Tumors by Xinmei Liu, Xinyuan Yang, Juan Shao, Yufeng Hong, Subash C. B. Gopinath, Yeng Chen, Mang Chek Wey, Yaru Wang

“…It was proved that the limit of detection is 62.5 fM in the case of antibody-GNP, which is 2-fold higher than that by SCC-Ag-GNP. …”
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Evaluation of point-of-care tests for detecting microalbuminuria in diabetic patients by M.M. Lloyd, J. Kuyl, H. van Jaarsveld

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Deep Learning Methods and UAV Technologies for Crop Disease Detection by S. G. Mudarisov, I. R. Miftakhov

“…It focuses on evaluating deep learning techniques and unmanned aerial vehicles for crop disease detection. (Research purpose) The study aims to review and systemize scientific literature on the application of unmanned aerial vehicles, remote sensing technologies and deep learning 24 methods for the early detection and prediction of crop diseases. …”
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Methods to detect avian influenza virus for food safety surveillance by Ping SHI, Shu Geng, Ting-ting LI, Yu-shui LI, Ting FENG, Hua-nan WU

“…Conventional methods usually applied for the purpose of AI diagnosis face some practical challenges to establishing a comprehensive poultry surveillance program in the poultry supply chain. Diverse development of new technologies can meet the specific requirements of AI virus detection in various stages or scenarios throughout the poultry supply chain where onsite, rapid and ultrasensitive methods are emphasized. …”
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