Fibre-orientation-driven defect probability mapping for machining-induced delamination and burr minimisation in carbon fibre-reinforced polymer (CFRP) composites by Norbert Geier

“…Implemented at TRL 4 with standard CNC equipment and open-source Python scripts, the method offers a practical framework for integrating burr- and delamination minimisation into CFRP component design and manufacturing process planning.…”
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A lightweight intelligent compression method for fast Sea Level Anomaly data transmission. by Xiaodong Ma, Xiang Wan, Lei Zhang, Dong Wang, Zeyuan Dai

“…To aaddress this limitation, we propose CompressGAN, a novel deep learning framework that transcends conventional approaches reliant on generic image metrics (e.g., peak signal-to-noise ratio, PSNR; structural similarity index, SSIM). …”
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Robust style injection for person image synthesis by Yan Huang, Jianjun Qian, Shumin Zhu, Jun Li, Jian Yang

“…To address this problem, a robust style injection (RSI) model is proposed, which is a coarse‐to‐fine framework to synthesise target the person image. RSI develops a simple and efficient cross‐attention based module to fuse the features of both source semantic styles and target pose for achieving the coarse aligned features. …”
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Open vocabulary detection for concealed object detection in AMMW image by Chenjiang Jiang, Chunyu Li, Xuejun Zhao

“…We improved the YOLO-World detector framework by designing Multi-Scale Convolution and Task-Integrated Block to optimize feature extraction and detection accuracy. …”
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Edge-aware joint neural denoising and normal estimation for mobile and handheld laser point clouds by T. Zhang, S. Filin

“…To address these shortcomings this paper formulates denoising by local contextual relationships and point assignment to the underlying surface in an end-to-end framework. To extract contextual information it introduces densely packed graph convolution layers and a global attention mechanism. …”
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FDI-VSR: Video Super-Resolution Through Frequency-Domain Integration and Dynamic Offset Estimation by Donghun Lim, Janghoon Choi

“…In this paper, we propose FDI-VSR, a novel framework that integrates spatiotemporal dynamics and frequency-domain analysis into conventional SISR models without extensive modifications. …”
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A lightweight and efficient gesture recognizer for traffic police commands using spatiotemporal feature fusion by Jun Xiao, Honghan Li, Ji Zhao

“…Abstract In response to the demand for efficient and accurate recognition of traffic police gestures by driverless vehicles, this paper introduces a novel traffic police gesture recognition framework (Novel Traffic Police Gesture Recognizer, NTPGR). …”
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Steel Defect Detection Based on YOLO-SAFD by Feihong Yu, Jinshan Zhang, Dingdiao Mu

“…This paper presents YOLO-SAFD, an advanced framework based on YOLOv5, designed to address these challenges. …”
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Improved method for a pedestrian detection model based on YOLO by Yanfei LI, Chengyi DONG

“…To address the dual challenges of excessive energy consumption and operational inefficiency inherent in the reliance of current agricultural machinery on direct supervision, this study developed an enhanced YOLOv8n-SS pedestrian detection algorithm through architectural modifications to the baseline YOLOv8n framework. The proposed method had superior performance in dense agricultural contexts while improving detection capabilities for pedestrian distribution patterns under complex farmland conditions, including variable lighting and mechanical occlusions. …”
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An Edge Recognition Method for Insulator State Based on Multi-dimension Feature Fusion by Dongmei HUANG, Yueqi WANG, Anduo HU, Jinzhong SUN, Shuai SHI, Yuan SUN, Lingfeng FANG

“…An edge recognition framework for insulator state is constructed using cloud edge collaboration and edge federation collaboration. …”
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LEST: Large-Scale LiDAR Semantic Segmentation With Deployment-Friendly Transformer Architecture by Chuanyu Luo, Nuo Cheng, Sikun Ma, Han Li, Xiaohan Li, Shengguang Lei, Pu Li

“…Most state-of-the-art LiDAR semantic segmentation methods rely on complex operators, such as sparse 3D convolutions or KdTree structures, which hinder their deployment on modern embedded devices. …”
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YOLO-Tryppa: A Novel YOLO-Based Approach for Rapid and Accurate Detection of Small Trypanosoma Parasites by Davide Antonio Mura, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto

“…To address the limitations of traditional manual microscopy and prior automated methods, we propose YOLO-Tryppa, a novel YOLO-based framework specifically engineered for the rapid and accurate detection of small Trypanosoma parasites in microscopy images. …”
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LDDP-Net: A Lightweight Neural Network with Dual Decoding Paths for Defect Segmentation of LED Chips by Jie Zhang, Ning Chen, Mengyuan Li, Yifan Zhang, Xinyu Suo, Rong Li, Jian Liu

“…Within the LDDP-Net framework, the receptive field of the MobileNetv3 backbone is modified to mitigate information loss. …”
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Image small target detection in complex traffic scenes based on Yolov8 multiscale feature fusion by Xuguang Chai, Meizhi Zhao, Jing Li, Junwu Li

“…Initially, building upon the YOLOv8 detection framework, an attention mechanism module is integrated for novel adaptive feature assimilation and redistribution. …”
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Reconstruction of Optical Coherence Tomography Images from Wavelength Space Using Deep Learning by Maryam Viqar, Erdem Sahin, Elena Stoykova, Violeta Madjarova

“…We believe that this work lays the framework for further innovations in the realm of OCT image reconstruction.…”
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Assessment of the Energy Security of EU Countries in Light of the Expansion of Renewable Energy Sources by Aleksandra Kuzior, Yevhen Kovalenko, Inna Tiutiunyk, Larysa Hrytsenko

“…This research employs non-linear (piecewise linear) normalization and the multiplicative convolution method, analyzing data from 2000 to 2021. …”
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Complex Indoor Human Detection with You Only Look Once: An Improved Network Designed for Human Detection in Complex Indoor Scenes by Yufeng Xu, Yan Fu

“…The research results show that compared with the original YOLOv8s framework, the detection accuracy has been improved by 2.67%, and the required floating-point operations have been reduced. …”
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Hypergraph-Driven High-Order Knowledge Tracing with a Dual-Gated Dynamic Mechanism by Fanglan Ma, Changsheng Zhu, Peng Lei

“…To address these limitations, we propose the Hypergraph-Driven High-Order Knowledge Tracing with a Dual-Gated Dynamic Mechanism (HGKT), a novel framework that (1) captures correlations between exercises and concepts through a two-layer hypergraph convolution; (2) integrates hypergraph-driven exercise embedding and temporal features (answer time and interval time) to characterize learning behavioral dynamics; and (3) designs a learning layer and a forgetting layer, with the dual-gating mechanism dynamically balancing their impacts on the knowledge state. …”
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Development of a river dissolved oxygen prediction model integrating spatial effects and multiple deep learning algorithm by Yubo Zhao, Mo Chen

“…To address the nonlinear, complex, and periodic nature of DO time series, a novel prediction framework is proposed, in which Wavelet Convolution (WTConv), a technique traditionally used in image processing, is applied for the first time to DO forecasting. …”
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Fractional derivatives, dimensions, and geometric interpretation: An answer to your worries by Abdon Atangana

“…This study illustrates the possibility of using fractional derivatives framework to go beyond delivering physical understanding regarding time dependency of degradation processes.…”
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