A novel steganographic technique for medical image using SVM and IWT [0.03%]
一种基于支持向量机和提升小波变换的医学图像信息隐藏技术
Partha Chowdhuri,Pabitra Pal,Tapas Si
Partha Chowdhuri
This study presents an efficient authentication scheme for digital image steganography on medical images benefiting from the combination of both techniques: Support Vector Machine (SVM) and Integer Wavelet Transform (IWT). We use two differ...
Exploring employees' beliefs regarding the potential benefits of virtual worlds for group cohesion: gather town [0.03%]
探索员工对虚拟世界增强团队凝聚力潜在益处的信念：以Gather Town为例
Pedro R Palos-Sanchez,Pedro Baena-Luna,Daniel Silva-O&#x;Connor
Pedro R Palos-Sanchez
As a consequence of advances in Information and Communication Technologies, teleworking is becoming more and more common in organizations. These new ways of working create new challenges for companies such as team cohesion despite working i...
Machine learning and deep learning approach for medical image analysis: diagnosis to detection [0.03%]
机器学习和深度学习在医学图像分析中的应用：从诊断到检测
Meghavi Rana,Megha Bhushan
Meghavi Rana
Computer-aided detection using Deep Learning (DL) and Machine Learning (ML) shows tremendous growth in the medical field. Medical images are considered as the actual origin of appropriate information required for diagnosis of disease. Detec...
A new model for classification of medical CT images using CNN: a COVID-19 case study [0.03%]
使用CNN对医学CT图像进行分类的新模型：COVID-19病例研究
Pedro Moises de Sousa,Pedro Cunha Carneiro,Gabrielle Macedo Pereira et al.
Pedro Moises de Sousa et al.
SARS-CoV-2 is the causative agent of COVID-19 and leaves characteristic impressions on chest Computed Tomography (CT) images in infected patients and this analysis is performed by radiologists through visual reading of lung images, and fail...
Rita Francese,Pasquale Attanasio
Rita Francese
Depression is the most prevalent mental disorder in the world. One of the most adopted tools for depression screening is the Beck Depression Inventory-II (BDI-II) questionnaire. Patients may minimize or exaggerate their answers. Thus, to fu...
Adaptive Weiner filtering with AR-GWO based optimized fuzzy wavelet neural network for enhanced speech enhancement [0.03%]
基于AR-GWO优化模糊小波神经网络的自适应Weiner滤波器在语音增强中的应用研究
Amarendra Jadda,Inty Santi Prabha
Amarendra Jadda
Speech signal enhancement is a subject of study in which a large number of researchers are working to improve the quality and perceptibility of speech signals. In the existing Kalman Filter method, the short-time magnitude or power spectrum...
LWSNet - a novel deep-learning architecture to segregate Covid-19 and pneumonia from x-ray imagery [0.03%]
LWSNet - 一种新的深度学习架构，用于从x光图像中区分Covid-19和肺炎
Asifuzzaman Lasker,Mridul Ghosh,Sk Md Obaidullah et al.
Asifuzzaman Lasker et al.
Automatic detection of lung diseases using AI-based tools became very much necessary to handle the huge number of cases occurring across the globe and support the doctors. This paper proposed a novel deep learning architecture named LWSNet ...
Vinat Goyal,Sanjeev Sharma
Vinat Goyal
The texture is the most fundamental aspect of a picture that contributes to its recognition. Computer vision challenges such as picture identification and segmentation are built on the foundation of texture analysis. Various images of satel...
Detection of Diabetic Retinopathy using Convolutional Neural Networks for Feature Extraction and Classification (DRFEC) [0.03%]
使用卷积神经网络进行特征提取和分类的糖尿病视网膜病变检测(DRFEC)
Dolly Das,Saroj Kumar Biswas,Sivaji Bandyopadhyay
Dolly Das
Diabetic Retinopathy (DR) is caused as a result of Diabetes Mellitus which causes development of various retinal abrasions in the human retina. These lesions cause hindrance in vision and in severe cases, DR can lead to blindness. DR is obs...
Facial expression recognition based on improved depthwise separable convolutional network [0.03%]
基于改进深度可分离卷积网络的面部表情识别
Hua Huo,YaLi Yu,ZhongHua Liu
Hua Huo
A single network model can't extract more complex and rich effective features. Meanwhile, the network structure is usually huge, and there are many parameters and consume more space resources, etc. Therefore, the combination of multiple net...