Advertisement detection in videos has remained interesting area of research for the past three decades. For this purpose many techniques have been used. The focus of this study is to detect advertisement in broadcast videos ...

Measurement of cognitive development in a child is a very old phenomenon and for many years psychologists used different tools and techniques to measure the intelligence level in a child. In this research, we have used one ...

Climate change has become a significant concern for humanity in this ethnocentric era.. Transportation contributes approximately 23% of the annual global CO2. Governments and politicians have been asked to take action to ...

Emotion detection is very important for maintaining human health especially when we are discussing in context of negative emotions like anxiety, stress, and depression. Clinical practitioners perform lengthy sessions with ...

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that causes problem in social behavior and interactions. It can adversely affect the social functioning of the individuals. Each autistic individual is said ...

Speech synthesizers may produce extremely accurate sounds that mimics a person’s voice. This capability can be exploited to make false audio recordings, making it impossible to tell between real and fake communications. ...

Deep learning models perform well in open-air captured image classification problems but, in the case of underwater images, can’t find better accuracy due to low-level features. Under-water image classification is a difficult ...

Cholera is an infectious disease caused by ‘Vibro cholerae’ bacteria which is mostly present in warm water and transmitted through drinking water and food which are affected with these bacteria. The growth of the bacteria ...

Distributed Denial of Service (DDoS) attack introduces new threats and vulnerabilities to the network security, in addition to the ones that already existed. The DDoS attack type is one of the most violent attack type in ...

The adoption of Machine Learning into digital platforms is rapidly accelerating progress in many areas, and making it more possible than ever to create efficient and reliable automated healthcare solutions. In the recent ...