KAN-ResNet-Enhanced Radio Frequency Fingerprint Identification with Zero-Forcing Equalization by Hongbo Chen, Ruohua Zhou, Qingsheng Yuan, Ziye Guo, Wei Fu

“…We then design a novel residual network, KAN-ResNet, which adds a KAN module on top of the traditional fully connected layer. …”
Get full text

Anomaly detection in multidimensional time series for water injection pump operations based on LSTMA-AE and mechanism constraints by Mei Wang, Xinyuan Zhu, Guangyue Zhou, Kewen Li, Qingshan Wu, Wankai Fan

“…The LSTMA-AE framework encompasses three primary modules: a Time Feature Extraction Module (Encoder), an Attention Layer, and a Data Reconstruction Module (Decoder). …”
Get full text

FP-YOLOv8: Surface Defect Detection Algorithm for Brake Pipe Ends Based on Improved YOLOv8n by Ke Rao, Fengxia Zhao, Tianyu Shi

“…First, the C2f_GhostV2 module has been designed to replace the original C2f module. …”
Get full text

Stability Study of Distributed Drive Vehicles Based on Estimation of Road Adhesion Coefficient and Multi-Parameter Control by Peng Ji, Fengrui Han, Yifan Zhao

“…The upper-level control module calculates the desired yaw rate and sideslip angle using the two-degree-of-freedom (2-DOF) vehicle model and estimates the road adhesion coefficient by using the singular-value optimized cubature Kalman filtering (CKF) algorithm; the middle-level utilizes the second-order sliding mode controller (SOSMC) as a direct yaw moment controller in order to track the desired yaw rate and sideslip angle while also employing a joint distribution algorithm to control the torque distribution based on vehicle stability parameters, thereby enhancing system robustness; and the lower-level controller performs optimal torque allocation based on the optimal tire loading rate as the objective. …”
Get full text

YOLOv8-BaitScan: A Lightweight and Robust Framework for Accurate Bait Detection and Counting in Aquaculture by Jian Li, Zehao Zhang, Yanan Wei, Tan Wang

“…The key innovations are as follows: (1) By incorporating the channel prior convolutional attention (CPCA) into the final layer of the backbone, the model efficiently extracts spatial relationships and dynamically allocates weights across the channel and spatial dimensions. (2) The minimum points distance intersection over union (MPDIoU) loss function improves the model’s localization accuracy for bait bounding boxes. (3) The structure of the Neck network is optimized by adding a tiny-target detection layer, which improves the recall rate for small, distant bait targets and significantly reduces the miss rate. (4) We design the lightweight detection head named Detect-Efficient, incorporating the GhostConv and C2f-GDC module into the network to effectively reduce the overall number of parameters and computational cost of the model. …”
Get full text

SwinNowcast: A Swin Transformer-Based Model for Radar-Based Precipitation Nowcasting by Zhuang Li, Zhenyu Lu, Yizhe Li, Xuan Liu

“…Through the novel design of a multi-scale feature balancing module (M-FBM), the model dynamically integrates local-scale features with global spatiotemporal dependencies. …”
Get full text

Polarization of road target detection under complex weather conditions by Feng Huang, Junlong Zheng, Xiancai Liu, Ying Shen, Jinsheng Chen

“…To enhance the polarized features of targets under complex weather conditions, an Adaptive Polarization Coding Module (APCM) is designed. This module integrates channel-wise global self-attention and small kernel convolution to adaptively adjust the polarization enhancement method using dynamically extracted global and local polarization feature information. …”
Get full text

Wetland restoration suppresses microbial carbon metabolism by altering keystone species interactions by Huijie Zheng, Huijie Zheng, Deyan Liu, Ye Li, Zengming Chen, Junjie Li, Junjie Li, Yanhong Dong, Yanhong Dong, Cong Yang, Cong Yang, Yuncai Miao, Junji Yuan, Weixin Ding, Weixin Ding

“…Decreased positive species association within keystone module in turn weakened microbial C metabolism by decreasing hydrolase activities from 7.49 to 5.37 mmol kg SOC−1 h−1 and oxidase activities from 627 to 411 mmol kg SOC−1 h−1, leading to the decrease of SOC decomposition rate from 1.39 to 1.08 g C kg SOC−1 during wetland restoration. …”
Get full text

Safety Assessment of Ocean Current in Pantar Strait for Marine Tourism by Akhmad Tri Prasetyo, Andi Patriadi, Awaludin Ahsin, Nurhidayat Nurhidayat, Budi Purwanto, Dyan Primana Sobaruddin, Muslim Muslim, Muhammad Hendri, Septi Hermialingga, Eka Maya Kurniasih

“…This study illustrated the annual dynamics of ocean currents in Pantar Strait, subsequently assessing the safety rate of commercial diving at those tourism sites in each season. …”
Get full text

Diagnosis of pneumonia from chest X-ray images using YOLO deep learning by Yanchun Xie, Binbin Zhu, Yang Jiang, Bin Zhao, Hailong Yu

“…By integrating the C3k2 module, DCNv2, and DynamicConv, the Fast-YOLO network effectively enhanced feature representation and reduced computational complexity (FPS increased from 53 to 120). …”
Get full text

Design of Enhanced License Plate Information Recognition Algorithm Based on Environment Perception by Zilu Wang, Limin Zheng, Gang Li

“…Meanwhile, a Real-Time Weather-Aware Image Enhancement Module is designed, which integrates real-time environment awareness technology to dynamically adjust the image enhancement strategy according to the changing weather conditions and improve the image quality. …”
Get full text

Adaptive Measurement and Parameter Estimation for Low-SNR PRBC-PAM Signal Based on Adjusting Zero Value and Chaotic State Ratio by Minghui Lv, Xiaopeng Yan, Ke Wang, Xinhong Hao, Jian Dai

Get full text

Near-real-time wildfire detection approach with Himawari-8/9 geostationary satellite data integrating multi-scale spatial–temporal feature by Lizhi Zhang, Qiang Zhang, Qianqian Yang, Linwei Yue, Jiang He, Xianyu Jin, Qiangqiang Yuan

“…To address this, we propose a deep learning model for near-real-time wildfire detection, where the core idea is to integrate multi-scale spatial–temporal features (MSSTF) to efficiently capture the dynamics of wildfires. Specifically, we design a multi-kernel attention-based convolution (MKAC) module for extracting spatial features representing the differences between fire and non-fire pixels within multi-scale receptive fields. …”
Get full text

Fuzzy Logic-Based Performance Enhancement of FSO Systems Under Adverse Weather Conditions by Hassan Yousif Ahmed, Medien Zeghid, Akhtar Nawaz Khan, Somia A. Abd El-Mottaleb

“…The primary objective is to dynamically adjust the bit error rate (BER) threshold at the receiver based on weather conditions (i.e., rain and fog) and the propagation distance (which significantly affects the received power). …”
Get full text

Correlations and functional connections in a population of grid cells. by Benjamin Dunn, Maria Mørreaunet, Yasser Roudi

“…Taken together, our results suggest that grid cells in the same module do indeed form a local network of interconnected neurons with a functional connectivity that supports a role for attractor dynamics in the generation of grid pattern.…”
Get full text

Optimal features assisted multi-attention fusion for robust fire recognition in adverse conditions by Inam Ullah, Nada Alzaben, Yousef Ibrahim Daradkeh, Mi Young Lee

“…However, high false alarm rates, shallow-layered networks, and poor recognition in challenging environments continue to hinder their practical deployment. …”
Get full text

A hierarchical indoor spatial-semantic reasoning-based scene graph construction for elderly-centric safety warnings by Jianwu Jiang, Jiawei Zhou, Yushi Yan, Yuefeng Wang, Lina Wang, Jingwen Li

“…However, traditional safety warning systems are hindered by high misdetection rates and delayed alerts, primarily due to their limited ability to perceive multidimensional risks in complex environments and their inadequate reasoning of spatial-semantic relationships. …”
Get full text

Investigation of gas natural separation process unsteady features by means of an experimental rig and mathematical modeling by V. A. Ivanov, V. S. Verbitsky, R. A. Khabibullin, K. A. Goridko, E. I. Nikonov

“…The results of the experimental bench tests, as well as the results of numerical simulation in dynamic multiphase flow simulator are analyzed. The experiments were carried out on a test rig with the inner diameter of the casing model 80 mm and the outer diameter of the intake module 64 mm, taking into account the possibility of measuring liquid and gas flow rates, as well as high-speed video recording of the processes occurring in the near-intake domain of the well model. …”
Get full text

A force-activated trip switch triggers rapid dissociation of a colicin from its immunity protein. by Oliver E Farrance, Eleanore Hann, Renata Kaminska, Nicholas G Housden, Sasha R Derrington, Colin Kleanthous, Sheena E Radford, David J Brockwell

“…More generally, the observation of two force phenotypes for the E9:Im9 complex demonstrates that force can re-sculpt the underlying energy landscape, providing new opportunities to modulate biological reactions in vivo; this rationalises the commonly observed discrepancy between off-rates measured by dynamic force spectroscopy and ensemble methods.…”
Get full text

A Self-Supervised Adversarial Deblurring Face Recognition Network for Edge Devices by Hanwen Zhang, Myun Kim, Baitong Li, Yanping Lu

“…Additionally, deblurring techniques are introduced to improve the model’s ability to handle blurry and dynamic images. Experimental results show that the proposed model achieves high accuracy and recall rates across multiple facial recognition datasets, with an average recall rate of 87.40% and accuracy rates of 81.06% and 79.77% on the YTF, IMDB-WIKI, and WiderFace datasets, respectively. …”
Get full text