A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends [0.03%]
多媒体视频伪造检测技术的全面分类：挑战与新趋势
Walid El-Shafai,Mona A Fouda,El-Sayed M El-Rabaie et al.
Walid El-Shafai et al.
Thousands of videos are posted on websites and social media every day, including Twitter, Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications, criminal investigations, surveillance systems, Banking, the muse...
COVID-19 radiograph prognosis using a deep CResNeXt network [0.03%]
基于深度CResNeXt网络的COVID-19肺炎放射影像预后评估模型
Dhirendra P Yadav,Anand Singh Jalal,Ayush Goyal et al.
Dhirendra P Yadav et al.
COVID-19 has caused an epidemic in the entire world and it is caused by the novel virus SARS-COV-2. In severe conditions, this virus can cause a critical lung infection or viral pneumonia. To administer the correct treatment to patients, CO...
A framework for designing interactive mobile training course content using augmented reality [0.03%]
一种使用增强现实技术设计交互式移动培训课程内容的框架
Saud Al-Amri,Suraya Hamid,Nurul Fazmidar Mohd Noor et al.
Saud Al-Amri et al.
Because mobile technology and the widespread usage of mobile devices have swiftly and radically evolved, several training centers have started to offer mobile training (m-training) via mobile devices. Thus, designing suitable m-training cou...
Deep-HAR: an ensemble deep learning model for recognizing the simple, complex, and heterogeneous human activities [0.03%]
基于集成深度学习的简单、复杂及异质人类活动识别模型
Prabhat Kumar,S Suresh
Prabhat Kumar
The recognition of human activities has become a dominant emerging research problem and widely covered application areas in surveillance, wellness management, healthcare, and many more. In real life, the activity recognition is a challengin...
Performance analysis of multiple input single layer neural network hardware chip [0.03%]
多重输入单层神经网络硬件芯片的性能分析
Akash Goel,Amit Kumar Goel,Adesh Kumar
Akash Goel
An artificial neural network (ANN) is a computational system that is designed to replicate and process the behavior of the human brain using neuron nodes. ANNs are made up of thousands of processing neurons with input and output modules tha...
A new sentiment analysis method to detect and Analyse sentiments of Covid-19 moroccan tweets using a recommender approach [0.03%]
一种新的情感分析方法：使用推荐系统方法检测和分析新冠摩洛哥推特的情感状态
Youness Madani,Mohammed Erritali,Belaid Bouikhalene
Youness Madani
Since the beginning of the covid-19 crisis, people from all over the world have used social media platforms to publish their opinions, sentiments, and ideas about the coronavirus epidemic and their news. Due to the nature of social networks...
Çağatay Berke Erdaş,Emre Sümer,Seda Kibaroğlu
Çağatay Berke Erdaş
Detection of neurodegenerative diseases such as Parkinson's disease, Huntington's disease, Amyotrophic Lateral Sclerosis, and grading of these diseases' severity have high clinical significance. These tasks based on walking analysis stand o...
An automated online proctoring system using attentive-net to assess student mischievous behavior [0.03%]
一种使用Attentive-Net评估学生不当行为的自动化在线监考系统
Tejaswi Potluri,Venkatramaphanikumar S,Venkata Krishna Kishore K
Tejaswi Potluri
In recent years, the pandemic situation has forced the education system to shift from traditional teaching to online teaching or blended learning. The ability to monitor remote online examinations efficiently is a limiting factor to the sca...
Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans [0.03%]
基于胶囊网络的COVID-19 X射线检测模型Conv-CapsNet
Pulkit Sharma,Rhythm Arya,Richa Verma et al.
Pulkit Sharma et al.
Coronavirus, a virus that spread worldwide rapidly and was eventually declared a pandemic. The rapid spread made it essential to detect Coronavirus infected people to control the further spread. Recent studies show that radiological images ...
Sonali Samal,Rajashree Nayak,Swastik Jena et al.
Sonali Samal et al.
Deep learning-based methods have been proven excellent performance in detecting pornographic images/videos flooded on social media. However, in a dearth of huge yet well-labeled datasets, these methods may suffer from under/overfitting prob...