A Novel Framework for Financial Cybersecurity and Fraud Detection Using XAI-RNN-SGRU by Smarajit Ghosh

“…Traditional network security methods need more scalability, data protection, and difficulty detecting advanced threats. …”
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Hybrid Quantum–Classical Deep Neural Networks Based Smart Contract Vulnerability Detection by Sinan Durgut, Ecir Uğur Küçüksille, Mahmut Tokmak

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Hybrid CNN–BiLSTM–DNN Approach for Detecting Cybersecurity Threats in IoT Networks by Bright Agbor Agbor, Bliss Utibe-Abasi Stephen, Philip Asuquo, Uduak Onofiok Luke, Victor Anaga

“…This study addresses the limitations of existing IoT threat detection methods, which often struggle with the dynamic nature of IoT environments and the growing complexity of cyberattacks. …”
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Automated Dead Chicken Detection in Poultry Farms Using Knowledge Distillation and Vision Transformers by Ridip Khanal, Wenqin Wu, Joonwhoan Lee

“…This study presents an automated system that leverages CCTV footage to detect dead chickens, utilizing a two-step approach to improve detection accuracy and efficiency. …”
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Developing an innovative lung cancer detection model for accurate diagnosis in AI healthcare systems by Wang Jian, Amin Ul Haq, Noman Afzal, Shakir Khan, Hadeel Alsolai, Sultan M. Alanazi, Abu Taha Zamani

“…Various deep learning-based methods have been proposed for Lung cancer diagnosis. …”
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DSNet enables feature fusion and detail restoration for accurate object detection in foggy conditions by Zhiyong Jing, Zhaobing Chen, Yucheng Shi, Lei Shi, Lin Wei, Yufei Gao

“…As a robust detection framework, DSNet offers theoretical insights and practical references for future research on object detection under adverse weather conditions.…”
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Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection by Edeh Michael Onyema, B. Gunapriya, Balasubramanian Prabhu Kavin, Mueen Uddin, Priyan Malarvizhi Kumar, Tehseen Mazhar, Mamoon M. Saeed

“…This is followed by applying an enhanced U-Net architecture, optimized for efficient feature extraction and segmentation, to detect and classify Mpox lesions accurately. …”
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Assessing HMM and SVM for Condition-Based Monitoring and Fault Detection in HEV Electrical Machines by Riham Ginzarly, Nazih Moubayed, Ghaleb Hoblos, Hassan Kanj, Mouhammad Alakkoumi, Alaa Mawas

“…Applying and evaluating various CBM methods is essential to identifying the most effective approach to maximizing reliability, minimizing downtime, and optimizing maintenance strategies. …”
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CF-YOLO for small target detection in drone imagery based on YOLOv11 algorithm by Chengcheng Wang, Yuqi Han, Chenggui Yang, Mingjie Wu, Zaiqing Chen, Lijun Yun, Xuesong Jin

“…We advocate for initial feature fusion through the FRM module, followed by feature enhancement using the Sandwich module. Finally, we optimize and reconstruct the model using the RFAConv module and LSDECD detection head. …”
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A comparative assessment of machine learning models and algorithms for osteosarcoma cancer detection and classification by Amoakoh Gyasi-Agyei

“…Machine learning (ML) models trained on disease datasets are more effective in detection and classification than the conventional methods with hand-crafted features highly dependent on pathologists’ expertise. …”
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InvMOE: MOEs Based Invariant Representation Learning for Fault Detection in Converter Stations by Hao Sun, Shaosen Li, Hao Li, Jianxiang Huang, Zhuqiao Qiao, Jialei Wang, Xincui Tian

“…Despite advancements in deep learning, existing detection methods face two major challenges: limited model generalization due to diverse and complex backgrounds in converter station environments and sparse supervision signals caused by the high cost of collecting labeled images for certain faults. …”
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A lightweight fabric defect detection with parallel dilated convolution and dual attention mechanism by Zheqing Zhang, Kezhong Lu, Gaoming Yang

“…However, most of these methods rely on complex model with heavy parameters, leading to high computational costs that hinder their adaptation to real-time detection environments. …”
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Fish Detection in Fishways for Hydropower Stations Using Bidirectional Cross-Scale Feature Fusion by Junming Wang, Yuanfeng Gong, Wupeng Deng, Enshun Lu, Xinyu Hu, Daode Zhang

“…Fishways can effectively validate the effectiveness and rationality of their construction, optimize operational modes, and achieve intelligent scientific management through fish species detection. …”
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Enhanced schizophrenia detection using multichannel EEG and CAOA-RST-based feature selection by Mohammad Abrar, Abdu Salam, Ahmed Albugmi, Fahad Al-otaibi, Farhan Amin, Isabel de la Torre, Thania Candelaria Chio Montero, Perla Araceli Arroyo Gala

“…Thus, our research introduces a novel approach by integrating the multichannel EGG, Crossover-Boosted Archimedes Optimization Algorithm (CAOA), and Rough Set Theory (RST) for schizophrenia detection. …”
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Development of a Multiplex RT-PCR for the Simultaneous Detection of Five Viruses and Viroids in Peach by Jeong-Eun Kim, Boram Kwon, Eun Jung Heo, Eunhae Baek, Gahyun Son, Hyun Joo Shin

“…This mRT-PCR assay is rapid, sensitive, and scalable diagnostic tool that allows for the simultaneous detection of multiple viruses and viroids, offering significant advantages over conventional methods. …”
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Detecting Student Engagement in an Online Learning Environment Using a Machine Learning Algorithm by Youssra Bellarhmouch, Hajar Majjate, Adil Jeghal, Hamid Tairi, Nadia Benjelloun

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Efficient tuna detection and counting with improved YOLOv8 and ByteTrack in pelagic fisheries by Yuanchen Cheng, Zichen Zhang, Yuqing Liu, Jie Li, Zhou Fu

“…Additionally, a dynamic, task-aligned detection head is introduced to optimize the synergy between classification and localization tasks. …”
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Detection frequency and duration of circulating antiphospholipid syndrome markers in patients with verified COVID-19 by Yu. V. Mikhailova, N. V. Chepurchenko, A. P. Obriadina

“…The profile of the detected antibodies changed at various COVID-19 stages driven by time frame elapsed from the moment of diagnosis.   …”
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GLLR-HAD: Global-local low-rank integration for hyperspectral image anomaly detection by Yu Bai, Yanling Zhang, Lili Zhang, Tan Zhao

“…Through the collaborative optimization of global and local components, the proposed method achieves robust detection performance across diverse scenarios and demonstrates strong adaptability to complex and variable spectral conditions. …”
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Rapid Detection of Key Phenotypic Parameters in Wheat Grains Using Linear Array Camera by Wenjing Zhu, Kaiwen Duan, Xiao Li, Kai Yu, Changfeng Shao

“…The phenotype analysis of wheat using the image processing techniques presented in this study shows strong consistency with manual detection methods, providing valuable quantitative data to assist in breeding selection and accelerate genetic improvement practices.…”
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