DLE-YOLO: An efficient object detection algorithm with dual-branch lightweight excitation network by Peitao Cheng, Xuanjiao Lei, Haoran Chen, Xiumei Wang

“…Furthermore, our method outperforms some advanced lightweight object detection algorithms, validating the effectiveness of our approach.…”
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IoT-edge anomaly detection for covariate shifted and point time series health data by Partha Pratim Ray, Dinesh Dash

“…STL and piecewise median schemes i.e. IoTSDA method. Firstly, we propose the IoTSAnom architecture to detect online coviarte shift in the univariate time series pulse rate data stream. …”
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Detection of Staphylococcus Enterotoxin sea and seb in Milk Samples by Duplex Droplet Digital PCR by Xiaoyue Wei, Wenzhou Wang, Tong Wang, Yuhua Yang, Yahui Guo, Lijin Long, Jiaming Fan, Fanliang Meng, Wentao Liu, Wanting Wang, Yakun Zhao, Jianling Chen, Fei Zhao, Jianzhong Zhang, Xiaomei Yan

“…Specific primers and probes were designed for sea and seb. By optimizing the concentrations of primers and probes and the annealing temperature, a duplex ddPCR detection system was established, and the specificity and sensitivity of the method were evaluated. …”
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Damage Detection in Machining Tools Using Acoustic Emission, Signal Processing, and Feature Extraction by Lucas Pires Bernardes, Pedro Oliveira Conceição Júnior, Fabio Romano Lofrano Dotto, Alessandro Roger Rodrigues, Marcio Marques Silva

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Adaptive Granularity-Fused Keypoint Detection for 6D Pose Estimation of Space Targets by Xu Gu, Xi Yang, Hong Liu, Dong Yang

“…The accuracy of this process hinges critically on the initial keypoint detection, which is currently limited by predominantly singular-scale detection techniques and fails to exploit sufficient information. …”
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Enhancing Fake Review Detection Using Linguistic Exaggeration, BERT Embeddings, and Fuzzy Logic by Mohammed Ennaouri, Ahmed Zellou

“…However, the presence of fake reviews threatens the credibility of review platforms, which requires advanced detection mechanisms. The core objective of this work is to develop a hybrid model that combines interpretable handcrafted linguistic cues with deep semantic features for more accurate, robust, and accurate fake review detection. …”
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Copy-Move Forgery Detection Technique Using Graph Convolutional Networks Feature Extraction by Varun Shinde, Vineet Dhanawat, Ahmad Almogren, Anjanava Biswas, Muhammad Bilal, Rizwan Ali Naqvi, Ateeq Ur Rehman

“…This paper presents a new method for CMF Detection (CMFD) that uses the power of Graph Convolution Networks (GCNs) and its multiple layers with ReLU activation, for CMFD and analysis. …”
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3D Reconstruction and Deformation Detection of Rescue Shaft Based on RGB-D Camera by Hairong Gu, Bokai Liu, Lishun Sun, Mostak Ahamed, Jia Luo

“…This paper proposes a novel method for real-time 3D model reconstruction, deformation detection, and accessibility analysis of rescue shafts using an RGB-D camera. …”
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Integrating attention mechanism and boundary detection for building segmentation from remote sensing images by Ping Liu, Yu Gao, Xiangtian Zheng, Hesong Wang, Yimeng Zhao, Xinru Wu, Zehao Lu, Zhichuan Yue, Yuting Xie, Shufeng Hao

“…We propose a building semantic segmentation method to improve the traditional Unet convolutional neural network by integrating attention mechanism and boundary detection. …”
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PathCrisp: an innovative molecular diagnostic tool for early detection of NDM-resistant infections by Shrigouri Patil, Annes Siji, Dhrithi Mallur, B. S. Kruthika, Nazneen Gheewalla, Shraddha Karve, Maithili Kavathekar, Bansidhar Tarai, Mandar Naik, Vandana Hegde, Jayaprada Rangineni, Vaijayanti Gupta, Vijay Chandru, Bulagonda Eswarappa Pradeep, Reety Arora

“…The specificity and sensitivity of the assay was analyzed, post which the assay was compared with the polymerase chain reaction (PCR) method to detect the New Delhi metallo-beta-lactamase (NDM) gene in carbapenem-resistant enterobacteriaceae clinical samples. …”
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A TaqMan qPCR for precise detection and quantification of diarrheagenic Escherichia coli by Bingyu Xue, Huanrong Zhang, Xia Yan, Xiaoyan Su, Yuling Zhou, Junjin Xie, Sheng Li, Yang Zhou, Lin Li

“…Probes and primers were designed for the conserved regions of these genes, and the amplification system, temperature, and other parameters were optimized. A TaqMan®single-plex real-time PCR assay was established for simultaneous detection of Enteropathogenic E. coli, Enteroinvasive E. coli, Enterotoxigenic E. coli, Enterohemorrhagic E. coli, and Enteroaggregative E. coli. …”
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Application of Improved Fault Detection and Robust Adaptive Algorithm in GNSS/INS Integrated Navigation by Qinghai Wang, Jianghua Liu, Jinguang Jiang, Xianrui Pang, Zhimin Ge

“…The Sage–Husa algorithm is widely used in optimizing the Kalman filter due to its ability to estimate the observation or state covariance without prior information. …”
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Defects Detection in Screen-Printed Circuits Based on an Enhanced YOLOv8n Algorithm by Xinyu Zhang, Jia Wang, Dan Jiang, Yang Li, Xuewei Wang, Han Zhang

“…Abstract Defect detection is a crucial task in screen-printed circuit (SPC) production, where image processing method based on deep learning is often used. …”
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Tiny Spherical Robot with a Magnetic Field-Based Interference Detection and Prevention Framework by Mohamad Reda A. Refaai, S. Meenatchi, B. Ramesh, N. I. Haroon Rashid, N. B. Soni, Manikandan Ganesan

“…It amplifies the disturbance effectively and hence increases the detection performance. To improve obstacle detection performance, design optimization is carried out and specific avoidance techniques are designed.…”
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A Data-Driven Comparative Analysis of Machine-Learning Models for Familial Hypercholesterolemia Detection by Tomasz Kocejko

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Advanced Deep Learning Models for Melanoma Diagnosis in Computer-Aided Skin Cancer Detection by Ranpreet Kaur, Hamid GholamHosseini, Maria Lindén

“…Therefore, an automated model could be developed that assists with early skin cancer detection. It is possible to limit the severity of melanoma by detecting it early and treating it promptly. …”
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MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition by S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, Jayashree Shetty, Praveen Gurunath Bharathi

“…To meet these demands, an efficient method that achieves both reliable detection and attribute classification in a unified framework is essential. …”
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Application of PS2M Aptamer as Receptor Layer for Electrochemical Detection of Lead Ions by Izabela Zaras, Olga Kujawa, Marcin Olszewski, Marta Jarczewska

“…Firstly, the method of aptamer-based layer fabrication was optimized along with the choice of a redox active indicator, which was a source of current signal. …”
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Low resolution remote sensing object detection with fine grained enhancement and swin transformer by Zhijing Xu, Xin Wang, Kan Huang, Ren Chen

“…Finally, we incorporate the Shape-IoU loss function to optimize bounding box regression, significantly improving small target detection accuracy while maintaining computational efficiency. …”
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UAV image analysis for detecting rice seedling gaps and gap effect on grain yield by Sanai Li, Yubin Yang, Jing Zhang, Lloyd T. (Ted) Wilson, Stanley Omar P.B. Samonte, Fugen Dou, Tanumoy Bera, Xin-Gen Zhou, Darlene Sanchez, Jing Wang

“…This study proposes a novel approach utilizing high-resolution UAV images to detect seedling gaps, providing an alternative method to estimate seedling establishment in densely planted crops such as rice. …”
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