Damage Detection and Segmentation in Disaster Environments Using Combined YOLO and Deeplab by So-Hyeon Jo, Joo Woo, Chang Ho Kang, Sun Young Kim

“…To accomplish this goal, damage information is detected and segmented using YOLOv7 and Deeplabv2. …”
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Dual Transformers With Latent Amplification for Multivariate Time Series Anomaly Detection by Yeji Choi, Kwanghoon Sohn, Ig-Jae Kim

“…Anomaly detection in multivariate time series is crucial for applications such as industrial monitoring, cybersecurity, and healthcare. …”
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Big Data-Driven Deep Learning Ensembler for DDoS Attack Detection by Abdulrahman A. Alshdadi, Abdulwahab Ali Almazroi, Nasir Ayub, Miltiadis D. Lytras, Eesa Alsolami, Faisal S. Alsubaei

“…The increasing threat of Distributed DDoS attacks necessitates robust, big data-driven methods to detect and mitigate complex Network and Transport Layer (NTL) attacks. …”
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Systems epigenetic approach towards non-invasive breast cancer detection by Chiara M. S. Herzog, Bente Theeuwes, Allison Jones, Iona Evans, Line Bjørge, Michal Zikan, David Cibula, Nadia Harbeck, Nicoletta Colombo, Nora Pashayan, Martin Widschwendter

“…Deriving DNAme-based classifiers for BC detection in each sample type (WID-buccal-, cervical-, or blood-BC), we achieve validation AUCs of 0.75, 0.66, and 0.51, respectively. …”
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Detection of Seed Potato Sprouts Based on Improved YOLOv8 Algorithm by Yufei Li, Qinghe Zhao, Zifang Zhang, Jinlong Liu, Junlong Fang

“…To further reduce the model parameters, Ghost convolution and C3ghost were introduced to replace the normal convolution and C2f blocks in vanilla YOLOv8n. In addition, a bi-directional feature pyramid network is integrated in the neck part for multi-scale feature fusion to enhance the detection accuracy. …”
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Improving Moving Insect Detection with Difference of Features Maps in YOLO Architecture by Angel Gomez-Canales, Javier Gomez-Avila, Jesus Hernandez-Barragan, Carlos Lopez-Franco, Carlos Villaseñor, Nancy Arana-Daniel

“…Insect detection under real-field conditions remains a challenging task due to factors such as lighting variations and the small size of insects that often lack sufficient visual features for reliable identification by deep learning models. …”
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A hybrid super learner ensemble for phishing detection on mobile devices by Routhu Srinivasa Rao, Cheemaladinne Kondaiah, Alwyn Roshan Pais, Bumshik Lee

“…However, these methods have specific limitations, including vulnerability to zero-day attacks, susceptibility to drive-by-downloads, and high detection latency. Furthermore, many of these techniques are unsuitable for mobile devices, which face additional constraints, such as limited RAM, smaller screen sizes, and lower computational power. …”
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PREVALENCE AND EFFECTIVENESS OF DETECTING GASTROINTESTINAL DISORDERS ASSOCIATED WITH CHRONIC FATIGUE IN SEAMEN by Olexandr M. Ignatiev, Oleksij I. Paniuta, Tetiana L. Prutiian

“…The purpose of the work is to study the prevalence and effectiveness of detecting gastrointestinal disorders associated with chronic fatigue in seamen during pre-trip medical examinations. …”
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Diagnostic performance of contrast-enhanced T2-FLAIR MRI in the detection of meningitis by Sanjay P., Vittal Manohar, Sushmita Balol, Yashwanth Naik M.B.

“…Contribution: This study reiterates the usefulness of CE-T2-FLAIR as an additional sequence for the detection of abnormal meningeal enhancement in cases of meningitis as confirmed both qualitatively and quantitatively.…”
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Advanced machine learning techniques for social support detection on social media by Olga Kolesnikova, Moein Shahiki Tash, Zahra Ahani, Ameeta Agrawal, Raúl Monroy, Grigori Sidorov

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Clinical application of targeted nanopore sequencing in pathogen detection in patients with sepsis by Mingdi Chen, Lei Bao, Yu Qian, Ye Chen, Jie Zhang, Yi Li, Xin Liu

“…Abstract Background Precision in detecting pathogens in sepsis patients is crucial for deploying targeted therapeutic strategies. …”
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POSITRON EMISION TOMOGRAPHY FOR DETECTION OF DISTANT METASTASES IN PATIENTS WITH BREAST CANCER by N. G. Chanchikova, E. A. Karlova, A. S. Savelyeva, O. A. Silkina, V. I. Chernov, R. V. Zelchan, I. G. Sinilkin, O. D. Bragina, A. A. Medvedeva

“…Standard imaging techniques, including chest x-ray, ultrasonography, magnetic resonance imaging and computed tomography have some limitations in terms of their ability to detect distant metastases.The purpose of the study was to search for additional diagnostic techniques for breast cancer detection. …”
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Electrochemical Detection of Dopamine with Graphene Oxide Carbon Dots Modified Electrodes by Omar Isaac Torres-Soto, Alejandro Vega-Rios, Rocio B. Dominguez, Velia Osuna

“…In this work, the influence of surface functionalization due to synthesis conditions of graphene oxide quantum dots GOQDs was evaluated for dopamine (DA) detection. GOQDs were synthesized using HNO₃ (6 M or 8 M) through a liquid-phase oxidation method. …”
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Elucidation of delignification promotion mechanism by soda cooking with addition of anthraquinone derivative using phenolic β-O-4-type lignin model oligomer by Ke Luo, Taiki Nishimoto, Yasuyuki Matsushita

“…Abstract Using an artificial lignin model oligomer containing only the β-O-4 substructure, we investigated the mechanism, whereby the addition of an anthraquinone derivative (2-ethylanthraquinone; 2-EAQ) promotes pulping during alkaline cooking. …”
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A small‐target traffic sign detection algorithm based on partial conv and atrous spatial pyramid by Yuqi Li, Zijian Wang, Han Zhang, Xinpeng Yao, Zhou Zhou, Xin Cheng

“…Lastly, the small‐target detection precision is improved by incorporating an additional small‐target detection head, which uses high‐resolution feature maps for shallow features. …”
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Proactive recognition and early detection in communities through targeted HIV screening by Mehdi Nejat, Hamid Reza Marateb, Mehrshad Alirezaei Farahani, Mohammad Zakaria Rajabi, Maryam Nasirian, Miguel Angel Mañanas, Mohammad Javad Tarrahi, Marjan Mansourian

“…In many resource-limited settings, early detection of HIV is hindered by stigma, limited access to testing, and low risk awareness. …”
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Enhanced detection of glioblastoma vasculature with superparamagnetic iron oxide nanoparticles and MRI by Phillip W. Janowicz, Thomas Boele, Richard T. Maschmeyer, Yaser H. Gholami, Emma G. Kempe, Brett W. Stringer, Shihani P. Stoner, Marie Zhang, Taymin du Toit-Thompson, Fern Williams, Aude Touffu, Lenka Munoz, Zdenka Kuncic, Caterina Brighi, David E. J. Waddington

“…Susceptibility gradient mapping enabled positive nanoparticle contrast within tumours and provided additional information on tumour angiogenesis. This approach offers a novel method for detecting diffuse brain cancer. …”
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ECAN-Detector: An Efficient Context-Aggregation Network for Small-Object Detection by Gaofeng Xing, Zhikang Xu, Yulong He, Hailong Ning, Menghao Sun, Chunmei Wang

“…The model first employs an additional shallow detection layer to extract high-resolution features that provide more detailed information for subsequent stages of the network, and then incorporates a dynamic scaled transformer (DST) that enriches spatial perception by adaptively fusing global semantics and local context. …”
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Fusing Transformer-XL with bi-directional recurrent networks for cyberbullying detection by Md. Mithun Hossain, Md. Shakil Hossain, Md. Shakhawat Hossain, M. Firoz Mridha, Mejdl Safran, Sultan Alfarhood, Dunren Che

“…This study enhances the development of methods for detecting cyberbullying and opens up opportunities for additional investigation into language diversity and social media analytics.…”
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Diagnostic value of 5 miRNAs combined detection for breast cancer by Yubo Jing, Xinzhu Huang, Yiyang Wang, Junyi Wang, Yongxiang Li, Dlraba Yelihamu, Chenming Guo

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