"In today's digital age, music streaming has become a common form of entertainment. However, current recommendation systems frequently overlook users' real-time emotional states, resulting in a less personalized experience. ...

"Cyberbullying has emerged as a pervasive issue in the digital age, affecting individuals across various social media platforms. Traditional approaches to cyberbullying detection have primarily focused on text analysis, ...

"Defining virtual fences for crossing detection plays a pivotal role in diverse applications, ranging from security surveillance to location-based services. There must exist a well-defined coordinate system and a reliable ...

"Language is a unique form of communication between human beings with their environment. In that the most natural way of communicating with others is through the voice. For this nowadays there are many speech technologies ...

"Ayurveda is a traditional healthcare system in Sri Lanka that dates to more than 3000 years. Ayurveda uses raw materials obtained from the nature to produce medicine that can be used to treat various health conditions ...

"Considering music is a complex language, classical music generation can be a challenging task which makes it harder to generate human-sounding music using artificial intelligence. Chord progression prediction can help ...

"This research addresses a critical challenge faced by individuals and brands with large fanbases: the difficulty in understanding fan sentiment and its potential impact on fan engagement and performance. This is particularly ...

"Traditional sentiment analysis techniques often fail in analysing social media text reviews due to the unstructured, context-rich nature of the reviews. Therefore, this research aims to explore the challenges involved ...

"The rapid advances in Artificial Intelligence (Al) have led to the rise of deepfake technology, which presents significant issues for the integrity and authenticity of digital material. The ease with which fake images can ...

The rapid advancement of generative adversarial networks (GANs) in synthetic face image generation has made GAN-based face recognition systems vulnerable to adversarial attacks, particularly those targeting critical facial ...