Parsa Sarosh,Shabir A Parah,G Mohiuddin Bhat
Parsa Sarosh
In recent years, there has been an enormous demand for the security of image multimedia in healthcare organizations. Many schemes have been developed for the security preservation of data in e-health systems however the schemes are not adap...
A diagnostic testing for people with appendicitis using machine learning techniques [0.03%]
基于机器学习技术的阑尾炎诊断检测模型
Maad M Mijwil,Karan Aggarwal
Maad M Mijwil
Appendicitis is a common disease that occurs particularly often in childhood and adolescence. The accurate diagnosis of acute appendicitis is the most significant precaution to avoid severe unnecessary surgery. In this paper, the author pre...
FastSS: Fast and smooth segmentation of JPEG compressed printed text documents using DC and AC signal analysis [0.03%]
基于DC和AC信号分析的快速平滑JPEG压缩打印文本文档分割算法
Bulla Rajesh,Mohammed Javed,P Nagabhushan
Bulla Rajesh
With the surge of COVID-19 pandemic, the world is moving towards digitization and automation more than it was presumed. The Internet is becoming one of the popular mediums for communication, and multimedia (image, audio, and video) combined...
Enhanced near-infrared periocular recognition through collaborative rendering of hand crafted and deep features [0.03%]
基于手工特征和深度特征协同渲染的近红外人眼虹膜识别方法
Ritesh Vyas
Ritesh Vyas
Periocular recognition leverage from larger feature region and lesser user cooperation, when compared against the traditional iris recognition. Moreover, in the current scenario of Covid-19, where majority of people cover their faces with m...
Jonatan Ginés Clavero,Francisco Martín Rico,Francisco J Rodríguez-Lera et al.
Jonatan Ginés Clavero et al.
Facing human activity-aware navigation with a cognitive architecture raises several difficulties integrating the components and orchestrating behaviors and skills to perform social tasks. In a real-world scenario, the navigation system shou...
Pierfrancesco Bellini,Luciano Alessandro Ipsaro Palesi,Paolo Nesi et al.
Pierfrancesco Bellini et al.
Fashion retail has a large and ever-increasing popularity and relevance, allowing customers to buy anytime finding the best offers and providing satisfactory experiences in the shops. Consequently, Customer Relationship Management solutions...
Multi-type skin diseases classification using OP-DNN based feature extraction approach [0.03%]
基于OP-DNN特征提取方法的多类型皮肤病分类
Arushi Jain,Annavarapu Chandra Sekhara Rao,Praphula Kumar Jain et al.
Arushi Jain et al.
In the current world, the disorders occurring in dermatological images are among the foremost widespread diseases. Despite being common, its identification is tremendously hard because of the complexities like skin tone and color variation ...
RALF: an adaptive reinforcement learning framework for teaching dyslexic students [0.03%]
一种针对阅读障碍学生的自适应强化学习教学框架
Seyyed Amir Hadi Minoofam,Azam Bastanfard,Mohammad Reza Keyvanpour
Seyyed Amir Hadi Minoofam
Dyslexia is a learning disorder in which individuals have significant reading difficulties. Previous studies found that using machine learning techniques in content supplements is vital in adapting the course concepts to the learners' educa...
AM-UNet: automated mini 3D end-to-end U-net based network for brain claustrum segmentation [0.03%]
AM-UNET：自动微型端到端U网架构用于脑屏状核电容分类
Ahmed Awad Albishri,Syed Jawad Hussain Shah,Seung Suk Kang et al.
Ahmed Awad Albishri et al.
Recent advances in deep learning (DL) have provided promising solutions to medical image segmentation. Among existing segmentation approaches, the U-Net-based methods have been used widely. However, very few U-Net-based studies have been co...
Screening of breast cancer from thermogram images by edge detection aided deep transfer learning model [0.03%]
基于边缘检测的深度迁移学习模型的热图乳腺癌筛查方法
Subhrajit Dey,Rajarshi Roychoudhury,Samir Malakar et al.
Subhrajit Dey et al.
Breast cancer, the most common invasive cancer, causes deaths of thousands of women in the world every year. Early detection of the same is a remedy to lessen the death rate. Hence, screening of breast cancer in its early stage is utmost re...