Dual knowledge‐guided two‐stage model for precise small organ segmentation in abdominal CT images by Tao Liu, Xukun Zhang, Zhongwei Yang, Minghao Han, Haopeng Kuang, Shuwei Ma, Le Wang, Xiaoying Wang, Lihua Zhang

“…This article introduces a novel knowledge‐guided cascaded framework that utilizes two types of knowledge—image intrinsic (anatomy) and clinical expertise (radiology)—to improve the segmentation accuracy of small abdominal organs. …”
Get full text

Chinese Tone Recognition Based on 3D Dynamic Muscle Information by JianRong Wang, Li Wan, Ju Zhang, Qiang Fang, Fan Yang, Jing Hu

“…In this paper, we mainly studied the vowel tonal transformation in Chinese pronunciation and designed a lightweight skipping convolution network framework (SCNet). And, the experimental results showed that the SCNet was sensitive to the more detailed description of the pitch change than that of the traditional model and achieved a better tone recognition effect and outstanding antiinterference performance. …”
Get full text

KEDM: Knowledge-Embedded Diffusion Model for Infrared Image Destriping by Lingxiao Li, Xin Wang, Dan Huang, Yunan He, Zhuqiang Zhong, Qingling Xia

“…This approach effectively integrates the spatial distribution characteristics of stripe noise with an innovative, data-driven diffusion network model, creating a hybrid knowledge and data-driven framework for stripe correction. The core components of KEDM are the latent diffusion model (LDM) architecture and the directional wavelet convolution module (DWCM). …”
Get full text

A Lightweight Dual-Branch Complex-Valued Neural Network for Automatic Modulation Classification of Communication Signals by Zhaojing Xu, Youchen Fan, Shengliang Fang, You Fu, Liu Yi

“…Spatial and channel reconstruction convolution (SCConv) is extended to complex domain and combined with complex-valued depthwise separable convolution block (CBlock) and complex-valued average pooling to eliminate feature redundancy and extract higher order features. …”
Get full text

Fault Detection of a Wheelset Bearing Based on Appropriately Sparse Impulse Extraction by Jianming Ding, Fenglin Li, Jianhui Lin, Bingrong Miao, Lu Liu

“…Convolution sparse representation (CSR) is a novel compressive sensing technique proposed in 2016 and provides an excellent framework for extracting the impulses induced by bearing faults and the unevenness of wheel tread. …”
Get full text

Evaluation of a Deep Learning Model for Automatic Detection of Schizophrenia Using EEG Signals by Swetha Padmavathi Polisetty, Radhamani Ellapparaj, Karthikeyan M P

“…After data preprocessing to reduce noise and artifacts from EEGs, an 11-layer deep learning model consisting of convolution and LSTM layers with LeakyReLU activation function and different kernel sizes was implemented to automatically extract and classify features. …”
Get full text

A high-performance tensor computing unit for deep learning acceleration by Qiang Zhou, Tieli Sun, Taoran Shen, York Xue

“…Then, the tuner-configuration generator pruned the search space and the distributed tuner framework selected the best data-flow pattern and corresponding parameters. …”
Get full text

HSF-YOLO: A Multi-Scale and Gradient-Aware Network for Small Object Detection in Remote Sensing Images by Fujun Wang, Xing Wang

“…To address these issues, this paper proposes a novel detection framework named HSF-YOLO, which is designed to jointly enhance feature encoding, attention interaction, and localization precision within the YOLOv8 backbone. …”
Get full text

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.…”
Get full text

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). …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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). …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text