"Shoplifting poses a significant financial and security burden on retailers. Existing detection methods often rely on human vigilance, prone to fatigue and bias, or costly sensor systems. Additionally, AI-based approaches ...

"The preservation and dissemination of knowledge within ancient manuscripts present significant challenges, especially due to the limited number of experts proficient in the respective languages. In the case of Pali ...

"In software development, a major challenge has been the manual and error-prone process of translating UI designs into functional code. This gap between design and implementation consumes valuable time and introduces ...

"This study aimed to develop a hybrid movie recommendation system by integrating emotion detection and merging collaborative and content-based filtering techniques, significantly enhancing personalization by aligning ...

"In this research, the challenge of enhancing book recommendations is tackled by considering a user’s current emotional state and contextual information, such as age and location, which are often overlooked in traditional ...

"Recommendation system is a technology that suggests personalized options to users based on their preferences and historical data and is widely used in various domains all across the world, including e-commerce, entertainment, ...

"The main goal of this research was to create a sophisticated Natural Language Processing (NLP) model that used a Bidirectional Long Short-Term Memory (Bi-LSTM) network architecture and was especially designed for textual ...

"In the dynamic world of Pokémon card collecting, the proliferation of counterfeit cards has emerged as a critical challenge. The market for these collectible cards, especially the coveted Generation 1 series, has ...

"A bone fracture is a medical condition that disrupts the continuity of the bone, occurring when the bone is subjected to a force exceeding its tolerance threshold. Failure to identify bone fractures in real time can result ...

"This study focuses on the development of an automated system for identifying medicine names in handwritten prescriptions that employs Optical Character Recognition (OCR) and Convolutional Recurrent Neural Network (CRNN) ...