Research on anomaly detection model for traffic time series data integrating multiple mechanisms by Peipei ZHANG, Jiaqi LIU

“…Secondly, the dilated convolution and multi-scale convolution were combined to form a local feature recognition (LFR) module, further optimizing local feature extraction. …”
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DDoS-MSCT: A DDoS Attack Detection Method Based on Multiscale Convolution and Transformer by Bangli Wang, Yuxuan Jiang, You Liao, Zhen Li

“…Currently, deep learning methods are widely applied in DDoS anomaly traffic detection. However, they often lack the ability to collectively model both local and global traffic features, which presents challenges in improving performance. …”
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Tuning localized surface plasmon resonance of star-like gold nanoparticles by in situ growth on crystalline nanocellulose for SERS substrates by Alfredo Ayala-Fonseca, Gonzalo Ramírez-García, Andrés De Luna Bugallo, Elder De la Rosa, Pedro Salas

“…The substrates exhibited high sensitivity, with the 0.3CNC0.08Au sample (CNC: 0.3 mg ml ^−1 , Au: 0.08 mg ml ^−1 ) detecting multiple vibrational modes of 4-ATP at a limit of detection of 1.048 × 10 ^−9 M. …”
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A novel Swin transformer based framework for speech recognition for dysarthria by Rabbia Mahum, Ismaila Ganiyu, Lotfi Hidri, Ahmed M. El-Sherbeeny, Haseeb Hassan

“…The NLF module enriches the existing Swin transformer by enhancing its capability to capture local features effectively. MP integrates features from different Swin phases to emphasize local information. …”
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Infrared Image Classification and Detection Algorithm for Power Equipment Based on Improved YOLOv10 by Xiu Ji, Zheyu Yue, Hongliu Yang, Zehong Zhang

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Optimizing Crop Yield Prediction: An In-Depth Analysis of Outlier Detection Algorithms on Davangere Region by C. S. Anu, C. R. Nirmala, A. Bhowmik, A. Johnson Santhosh

“…This research focuses on optimizing crop yield prediction in the Davangere region through a thorough analysis of outlier detection algorithms applied to the local agricultural dataset. …”
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Optimized Physiological Monitoring System for COVID-19 Using VLC-Based 3D Localization and Markov Chain Analysis by Eduardo Viera Riquelme, Diego Alonso Candia, Ismael Soto, Carolina Lagos, Pablo Palacios Jativa, Raul Carrasco, Cesar Azurdia Meza, Ivan Sanchez

“…This research presents an optimized physiological monitoring system for COVID-19 patients, integrating Visible Light Communication (VLC)-based three-dimensional localization with Markov Chain Analysis. The proposed system enables real-time tracking of vital physiological indicators while balancing localization accuracy and computational efficiency, making it suitable for real-world healthcare applications. …”
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Small target detection algorithm based on the fusion attention mechanism and multi-layer convolution. by Xiujing Li, Haifei Zhang, Yiliu Hang, Hao Chen

“…Initially, we designed the MConv (Multi-layer Convolution) module to replace the conventional Conv module within the backbone network, thereby augmenting the dimensionality of information capture and enhancing the detection performance for small targets. Subsequently, we harnessed the advantages of both attention mechanisms-GAM (Global Attention Mechanism) and CloAttention (Contextualized Local and Global Attention)-to create a GACAttention module that extracts small target features from both global and local perspectives, thereby enriching the network's focus on small target feature information and further enhancing its feature processing capabilities. …”
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Yaw Noise Fault Detection for Wind Turbines Based on ResNet-Transformer Model by CHEN Yanan, HU Kaikai, LI Ziyuan, WANG Lipeng

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Research on grape leaf disease detection method based on NMA-YOLOv8n by Ji Changpeng, Zuo Yongji, Dai Wei

“…In response to the low inefficiency and high misjudgement rate of manually observing grape leaf diseases, an improved YOLOv8n grape leaf disease detection model NMA-YOLOv8n is proposed. Firstly, the global nonlinear attention NBL was introduced in the neck network, which enhances the backbone feature extraction capability by fusing the local and non-local attention, enabling the network to equally focus on small and normal targets. …”
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Flexible Adaptive Marine Predator Algorithm and Its Application in Fault Detection for Wind Turbines by WANG Wen, YI Jiabiao

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A Rotation Target Detection Network Based on Multi-Kernel Interaction and Hierarchical Expansion by Qi Wang, Guanghu Xu, Donglin Jing

“…However, this approach leads to incomplete coverage of the overall target by the extracted local features, resulting in the loss of critical directional information and an increase in computational complexity which affect the detector’s performance. …”
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Cross-Modal Object Detection Based on Content-Guided Feature Fusion and Self-Calibration by Liyang Ning, Xuxun Liu, Luoyu Zhou, Xueyu Zou

“…Traditional transformers suffer from limitations in local attention, which can result in inadequate feature representation and reduced detection accuracy in cross-modal object detection tasks. …”
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DFPF-Net: Dynamically Focused Progressive Fusion Network for Remote Sensing Change Detection by Chengming Wang, Peng Duan, Jinjiang Li

“…Change detection (CD) has extensive applications and is a crucial method for identifying and localizing target changes. …”
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Genetic Artificial Hummingbird Algorithm-Support Vector Machine for Timely Power Theft Detection by Emmanuel Gbafore, Davies Rene Segera, Cosmas Raymond Mutugi Kiruki

“…Despite the time complexity trade-off, its excellent performance on the unimodal and multimodal benchmark test functions, placing joint best in 7 out of 7 and 5 out of 6, respectively, provides important insights into the model’s capacity to balance exploitation and exploration, improve local search, and avoid becoming stuck in the local optimum. …”
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Detection and significance of human epidermal growth factor receptor 2 expression in gastric adenocarcinoma by Sutapa Halder, Debjani Mallick, Priyanka Mondal, Debajyoti Singha Roy, Aniket Halder, Sudipta Chakrabarti

“…Overexpression of HER2 is noted in 10%–22.8% of gastric adenocarcinoma and its identification is of immense importance for management by targeted drugs. Detection of HER2 expression in gastric malignancies has not been undertaken previously in the local population. …”
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A hybrid parallel convolutional spiking neural network for enhanced skin cancer detection by K. Anup Kumar, C. Vanmathi

“…Then textural, statistical, Discrete Wavelet Transform (DWT) based Local Direction Pattern (LDP) with entropy, and Local Normal Derivative Pattern (LNDP) features are mined. …”
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Decreasing Trend in Formaldehyde Detected From 20‐Year Record at Wollongong, Southeast Australia by Kaitlyn J. Lieschke, Jenny A. Fisher, Clare Paton‐Walsh, Nicholas B. Jones, Jesse W. Greenslade, Sandy Burden, David W. T. Griffith

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MPVF: Multi-Modal 3D Object Detection Algorithm with Pointwise and Voxelwise Fusion by Peicheng Shi, Wenchao Wu, Aixi Yang

“…This highlights the necessity of multi-modal fusion approaches to enhance detection performance. However, existing camera-LiDAR intermediate fusion methods suffer from insufficient interaction between local and global features and limited fine-grained feature extraction capabilities, which results in inadequate small object detection and unstable performance in complex scenes. …”
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Efficient detection of highway pavement cracks using computer vision-based MSFNet model by Zhengfa Jiang, Danlan Li, Ting Zhao, Mingxing Gao

“…To balance the needs of pavement crack detection accuracy and real-time performance, while also accounting for local and global feature recognition, a self-focus lightweight crack segmentation method MSFNet based on multilevel correction is proposed. …”
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