Generative adversarial network based synthetic data training model for lightweight convolutional neural networks [0.03%]
基于生成对抗网络的轻量级卷积神经网络合成数据训练模型
Ishfaq Hussain Rather,Sushil Kumar
Ishfaq Hussain Rather
Inadequate training data is a significant challenge for deep learning techniques, particularly in applications where data is difficult to get, and publicly available datasets are uncommon owing to ethical and privacy concerns. Various appro...
Aanchal Sharma,Rahul Gautam,Jaspal Singh
Aanchal Sharma
The Coronavirus Disease (Covid-19) was declared as a pandemic by WHO (World Health Organization) on 11 March 2020, and it is still currently going on, thereby impacting tremendously the whole world. As of September 2021, more than 220 milli...
Smart brain tumor diagnosis system utilizing deep convolutional neural networks [0.03%]
基于深度卷积神经网络的智能脑肿瘤诊断系统
Yildiray Anagun
Yildiray Anagun
The early diagnosis of cancer is crucial to provide prompt and adequate management of the diseases. Imaging tests, in particular magnetic resonance imaging (MRI), are the first preferred method for diagnosis. However, these tests have some ...
An efficient image segmentation method based on expectation maximization and Salp swarm algorithm [0.03%]
基于期望最大化和海藻群算法的高效图像分割方法
Ehsan Ehsaeyan
Ehsan Ehsaeyan
Multilevel image thresholding using Expectation Maximization (EM) is an efficient method for image segmentation. However, it has two weaknesses: 1) EM is a greedy algorithm and cannot jump out of local optima. 2) it cannot guarantee the num...
Unmasking the potential: evaluating image inpainting techniques for masked face reconstruction [0.03%]
去伪存真：评估口罩人脸重建的图像插补技术
Chandni Agarwal,Charul Bhatnagar
Chandni Agarwal
The performance of most Face Recognizers tends to degrade when dealing with masked faces, making face recognition challenging. Image inpainting, a technique traditionally used for restoring old or damaged images, removing objects, or retouc...
Accurate detection of brain tumor using optimized feature selection based on deep learning techniques [0.03%]
基于深度学习技术的优化特征选择的脑肿瘤精确检测方法研究
Praveen Kumar Ramtekkar,Anjana Pandey,Mahesh Kumar Pawar
Praveen Kumar Ramtekkar
An unusual increase of nerves inside the brain, which disturbs the actual working of the brain, is called a brain tumor. It has led to the death of lots of lives. To save people from this disease timely detection and the right cure is the n...
Analysis of facial emotion expression in eating occasions using deep learning [0.03%]
基于深度学习的用餐情景面部表情情感分析研究
Elif Yildirim,Fatma Patlar Akbulut,Cagatay Catal
Elif Yildirim
Eating is experienced as an emotional social activity in any culture. There are factors that influence the emotions felt during food consumption. The emotion felt while eating has a significant impact on our lives and affects different heal...
Designing face resemblance technique using near set theory under varying facial features [0.03%]
基于近集理论的变脸特征人脸相似度设计方法
Roshni S Khedgaonkar,Kavita R Singh
Roshni S Khedgaonkar
Near sets (also called Descriptively Near Sets) classify nonempty sets of objects based on object feature values. The Near Set Theory provides a framework for measuring the similarity of objects based on features that describe them in much ...
A prediction error based reversible data hiding scheme in encrypted image using block marking and cover image pre-processing [0.03%]
基于预测误差的加密图像中可逆数据隐藏方案（结合分块标记和载体图像预处理）
Shaiju Panchikkil,V M Manikandan
Shaiju Panchikkil
A drastic change in communication is happening with digitization. Technological advancements will escalate its pace further. The human health care systems have improved with technology, remodeling the traditional way of treatments. There ha...
A robust and secured fusion based hybrid medical image watermarking approach using RDWT-DWT-MSVD with Hyperchaotic system-Fibonacci Q Matrix encryption [0.03%]
基于RDWT-DWT-MSVD的融合型医学图像水印方法并用超混沌系统-斐波那契Q矩阵加密
M Sajeer,Ashutosh Mishra
M Sajeer
Digital image watermarking, the process of marking a host image with a watermark, is generally used to authenticate the data. In the medical field, it is of utmost importance to verify the authenticity of the data using Medical Image Waterm...