Hyperspectral Characteristic Band Selection and Estimation Content of Soil Petroleum Hydrocarbon Based on GARF-PLSR [0.03%]
基于GARF-PLSR的土壤石油烃特性波段选取及含量估算模型构建
Pengfei Shi,Qigang Jiang,Zhilian Li
Pengfei Shi
With continuous improvements in oil production, the environmental problems caused by oil exploitation are becoming increasingly serious. Rapid and accurate estimation of soil petroleum hydrocarbon content is of great significance to the inv...
Initial Steps towards a Multilevel Functional Principal Components Analysis Model of Dynamical Shape Changes [0.03%]
动态形状变化多水平功能主成分分析模型的初步研究步骤
Damian J J Farnell,Peter Claes
Damian J J Farnell
In this article, multilevel principal components analysis (mPCA) is used to treat dynamical changes in shape. Results of standard (single-level) PCA are also presented here as a comparison. Monte Carlo (MC) simulation is used to create univ...
Privacy-Preserving Image Classification Using ConvMixer with Adaptative Permutation Matrix and Block-Wise Scrambled Image Encryption [0.03%]
基于自适应置换矩阵和块状扰码图像加密的ConvMixer隐私保护图像分类方法
Zheng Qi,AprilPyone MaungMaung,Hitoshi Kiya
Zheng Qi
In this paper, we propose a privacy-preserving image classification method using block-wise scrambled images and a modified ConvMixer. Conventional block-wise scrambled encryption methods usually need the combined use of an adaptation netwo...
Retinal Disease Detection Using Deep Learning Techniques: A Comprehensive Review [0.03%]
基于深度学习的眼底疾病检测方法综述
Stewart Muchuchuti,Serestina Viriri
Stewart Muchuchuti
Millions of people are affected by retinal abnormalities worldwide. Early detection and treatment of these abnormalities could arrest further progression, saving multitudes from avoidable blindness. Manual disease detection is time-consumin...
Yuki Mikamoto,Yoshiki Kaminaka,Toru Higaki et al.
Yuki Mikamoto et al.
The images we commonly use are RGB images that contain three pieces of information: red, green, and blue. On the other hand, hyperspectral (HS) images retain wavelength information. HS images are utilized in various fields due to their rich...
A 3DCNN-Based Knowledge Distillation Framework for Human Activity Recognition [0.03%]
一种基于3DCNN的常识提取框架以实现人类行为识别
Hayat Ullah,Arslan Munir
Hayat Ullah
Human action recognition has been actively explored over the past two decades to further advancements in video analytics domain. Numerous research studies have been conducted to investigate the complex sequential patterns of human actions i...
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review [0.03%]
医学影像中的数据增强深度学习方法综述
Aghiles Kebaili,Jérôme Lapuyade-Lahorgue,Su Ruan
Aghiles Kebaili
Deep learning has become a popular tool for medical image analysis, but the limited availability of training data remains a major challenge, particularly in the medical field where data acquisition can be costly and subject to privacy regul...
Analysis of Movement and Activities of Handball Players Using Deep Neural Networks [0.03%]
基于深度神经网络的手球运动员行为分析研究
Kristina Host,Miran Pobar,Marina Ivasic-Kos
Kristina Host
This paper focuses on image and video content analysis of handball scenes and applying deep learning methods for detecting and tracking the players and recognizing their activities. Handball is a team sport of two teams played indoors with ...
A Genetic Algorithm Based One Class Support Vector Machine Model for Arabic Skilled Forgery Signature Verification [0.03%]
基于遗传算法的阿拉伯语 skilled forgery 签名验证的一类支持向量机模型
Ansam A Abdulhussien,Mohammad F Nasrudin,Saad M Darwish et al.
Ansam A Abdulhussien et al.
Recently, signature verification systems have been widely adopted for verifying individuals based on their handwritten signatures, especially in forensic and commercial transactions. Generally, feature extraction and classification tremendo...
Multilevel Multiobjective Particle Swarm Optimization Guided Superpixel Algorithm for Histopathology Image Detection and Segmentation [0.03%]
用于组织病理图像检测和分割的多层次多目标粒子群优化引导的超像素算法
Anusree Kanadath,J Angel Arul Jothi,Siddhaling Urolagin
Anusree Kanadath
Histopathology image analysis is considered as a gold standard for the early diagnosis of serious diseases such as cancer. The advancements in the field of computer-aided diagnosis (CAD) have led to the development of several algorithms for...