COSMICA: A Novel Dataset for Astronomical Object Detection with Evaluation Across Diverse Detection Architectures [0.03%]
COSMICA：一种新的天文目标检测数据集，在多种检测架构下进行评估
Evgenii Piratinskii,Irina Rabaev
Evgenii Piratinskii
Accurate and efficient detection of celestial objects in telescope imagery is a fundamental challenge in both professional and amateur astronomy. Traditional methods often struggle with noise, varying brightness, and object morphology. This...
Platelets Image Classification Through Data Augmentation: A Comparative Study of Traditional Imaging Augmentation and GAN-Based Synthetic Data Generation Techniques Using CNNs [0.03%]
基于数据增强的血小板图像分类：使用CNN的传统成像数据增强与GAN合成数据生成技术的比较研究
Itunuoluwa Abidoye,Frances Ikeji,Charlie A Coupland et al.
Itunuoluwa Abidoye et al.
Platelets play a crucial role in diagnosing and detecting various diseases, influencing the progression of conditions and guiding treatment options. Accurate identification and classification of platelets are essential for these purposes. T...
A Structured and Methodological Review on Multi-View Human Activity Recognition for Ambient Assisted Living [0.03%]
面向辅助生活的多视图人体活动识别的结构化与系统性综述
Fahmid Al Farid,Ahsanul Bari,Abu Saleh Musa Miah et al.
Fahmid Al Farid et al.
Ambient Assisted Living (AAL) leverages technology to support the elderly and individuals with disabilities. A key challenge in these systems is efficient Human Activity Recognition (HAR). However, no study has systematically compared singl...
3D Echocardiographic Assessment of Right Ventricular Involvement of Left Ventricular Hypertrabecularization from a New Perspective [0.03%]
从新视角评估左心室高度乳头肌化的心脏病三维超声评价右心室的参与度
Márton Horváth,Kristóf Farkas-Sütő,Flóra Klára Gyulánczi et al.
Márton Horváth et al.
Right ventricular (RV) involvement in left ventricular hypertrabeculation (LVNC) remains under investigation. Due to its complex anatomy, assessing RV function is challenging, but 3D transthoracic echocardiography (3D_TTE) offers valuable i...
Photon-Counting Detector CT Scan of Dinosaur Fossils: Initial Experience [0.03%]
用于恐龙化石的单光子计数探测器CT扫描：初步研究
Tasuku Wakabayashi,Kenji Takata,Soichiro Kawabe et al.
Tasuku Wakabayashi et al.
Beyond clinical areas, photon-counting detector (PCD) CT is innovatively applied to study paleontological specimens. This study presents a preliminary investigation into the application of PCD-CT for imaging large dinosaur fossils, comparin...
Sujata Alegavi,Raghvendra Sedamkar
Sujata Alegavi
The contemporary challenge in remote sensing lies in the precise retrieval of increasingly abundant and high-resolution remotely sensed images (RS image) stored in expansive data warehouses. The heightened spatial and spectral resolutions, ...
High-Throughput ORB Feature Extraction on Zynq SoC for Real-Time Structure-from-Motion Pipelines [0.03%]
基于ZYNQ SoC的高通量ORB特征提取实时视觉 SLAM系统
Panteleimon Stamatakis,John Vourvoulakis
Panteleimon Stamatakis
This paper presents a real-time system for feature detection and description, the first stage in a structure-from-motion (SfM) pipeline. The proposed system leverages an optimized version of the ORB algorithm (oriented FAST and rotated BRIE...
Four-Wavelength Thermal Imaging for High-Energy-Density Industrial Processes [0.03%]
高能量密度工业过程的四波长热成像技术研究
Alexey Bykov,Anastasia Zolotukhina,Mikhail Poliakov et al.
Alexey Bykov et al.
Multispectral imaging technology holds significant promise in the field of thermal imaging applications, primarily due to its unique ability to provide comprehensive two-dimensional spectral data distributions without the need for any form ...
CFANet: The Cross-Modal Fusion Attention Network for Indoor RGB-D Semantic Segmentation [0.03%]
用于室内RGB-D语义分割的跨模态融合注意力网络
Long-Fei Wu,Dan Wei,Chang-An Xu
Long-Fei Wu
Indoor image semantic segmentation technology is applied to fields such as smart homes and indoor security. The challenges faced by semantic segmentation techniques using RGB images and depth maps as data sources include the semantic gap be...
R Prajwal,S J Pawan,Shahin Nazarian et al.
R Prajwal et al.
As artificial intelligence advances in medical image analysis, its environmental impact remains largely overlooked. This study analyzes the energy demands of AI workflows for medical image segmentation using the popular Kidney Tumor Segment...