Non-Destructive Neutron Tomography Analysis of Ceramic Vessels from the Shubarat-1 Archeological Site [0.03%]
苏布哈特一号考古遗址陶器的非破坏性中子层析分析研究
Kuanysh Nazarov,Veronica Smirnova,Murat Kenessarin et al.
Kuanysh Nazarov et al.
We studied the structural features in internal pores and mineral inclusions of several vessels from the Shubarat-1 archeological site in the Republic of Kazakhstan, dating to the late first millennium BC, using neutron tomography. Differenc...
Concentration- and Sequence-Dependent MRI Signal Intensity Behavior of Ilex paraguariensis Aqueous Extract in MRCP-like Sequences: A Preclinical Phantom Study [0.03%]
浓度和序列依赖的伊拉祺圣草水提取物在类似MRCP序列中的MRI信号强度行为：一项临床前体模研究
Mario J Noh-Burgos,Juan B Chalé-Dzul,Leticia Olivera-Castillo et al.
Mario J Noh-Burgos et al.
Magnetic resonance cholangiopancreatography (MRCP) is widely used for biliopancreatic imaging; however, hyperintense gastrointestinal fluids in heavily T2-weighted sequences may interfere with visualization of the biliary and pancreatic duc...
A2S2C-Det: Dual-Path Adaptive Aggregation with Spatial-Semantic Compensation for Strip Steel Surface Defect Detection [0.03%]
基于空间语义补偿的双路自适应聚合钢板表面缺陷检测方法
Yange Sun,Mengdi Wang,Chenglong Xu et al.
Yange Sun et al.
Accurate identification of surface defects on steel strips is critical for manufacturing quality assurance and operational reliability. Although deep learning has greatly advanced defect detection, precise recognition remains challenging du...
Hitting the Gym with Fit3D: Benchmarking and Improving Monocular 3D Human Reconstruction on Extreme Fitness Motions [0.03%]
用Fit3D轰动健身馆：极端健身动作下单眼3D人体重建的基准测试与改进
Mihai Fieraru
Mihai Fieraru
Fitness motions present some of the most challenging cases for monocular 3D human reconstruction: extreme articulations, heavy self-occlusion, and frequent self-contact. The Fit3D dataset captures these motions at large scale via a 12-camer...
Echo Model Analysis and Frequency-Domain Imaging Algorithm for Geosynchronous Spaceborne-Airborne FMCW Bistatic SAR with High-Maneuvering Receiver [0.03%]
高机动接收机geo-spaceborne-airborne FMCW双基地SAR回波模型分析与频域成像算法
Xinyu Liu,Li Ding,Chenlei Lu et al.
Xinyu Liu et al.
Geosynchronous spaceborne-airborne frequency-modulated continuous-wave bistatic synthetic aperture radar (GEO SA FMCW BiSAR) offers cost-effective and persistent target monitoring. However, both the maneuvers of the receiver during the sign...
Hybrid Imaging in Industrial Applications: A Review of Principles and Deployment [0.03%]
工业应用中的混合成像技术：原理与实现综述
Andrzej Burghardt,Piotr Garbacz,Magdalena Muszyńska
Andrzej Burghardt
Hybrid imaging methods are emerging as one of the most dynamically evolving research areas in industrial inspection systems. This paper presents a literature review covering relevant scientific publications and official reports on the use o...
PIP-PACA: An Interpretable Image Classification Framework via Prototype-Aware Clustering Attention [0.03%]
基于原型感知聚类注意力的可解释图像分类框架
Xinyuan Jia,Yanling Li,Yihui Wang
Xinyuan Jia
Image classification interpretability remains a fundamental challenge in the field of computer vision. Despite the remarkable improvements achieved by deep neural networks in classification accuracy, their decision-making processes are ofte...
Deep Learning-Based Multi-Class Pediatric Wrist Fracture Subtype Classification: A Pilot Study Comparing Convolutional Neural Network Architectures [0.03%]
基于深度学习的多分类儿童腕部骨折亚型分类：比较卷积神经网络结构的研究试点工作
Rohan A Phadke,Samer G Salman,Zane G Salman et al.
Rohan A Phadke et al.
Pediatric wrist fractures are among the most prevalent musculoskeletal injuries in children. Fracture subtype, including buckle/torus, greenstick, and Salter-Harris physeal injuries, directly influences management and prognosis. Subspecialt...
BDKD-Net: Boundary-Probability Knowledge Distillation for Compact Polyp Segmentation [0.03%]
BDKD-Net: 用于紧凑型息肉分割的边界概率知识蒸馏
Tian Xia,Jianhua Li,Liping Sun
Tian Xia
Accurate polyp segmentation in colonoscopy supports early detection of colorectal cancer, but compact models under a student-only inference budget tend to lose boundary fidelity. BDKD-Net is a 3.72M-parameter compact student trained under a...
Attention-Enhanced Pedestrian Trajectory Prediction via Compressed Point Cloud Representation [0.03%]
基于压缩点云表示的注意增强行人轨迹预测方法
Yuting Han,Shuyu Li,Yunfei Tan
Yuting Han
To address the high storage overhead and inadequate spatial geometric representation associated with raw point cloud data in multi-pedestrian trajectory prediction, a compressed point cloud-based and attention-enhanced trajectory prediction...