The goal of information retrieval (IR) systems is to find the contents most closely related to
the user's information needs from a pool of information. However, conventional IR methods …

Search engines play a vital role in information retrieval (IR) indexing and processing vast
and diverse data, which now encompasses the ever-expanding wealth of multimedia …

Behavior recognition in video sequences is an interesting task in the computer vision field.
Human action recognition, allows machines to analyze and comprehend several human …

The rapid evolution of digital sports media necessitates sophisticated information retrieval
systems that can efficiently parse extensive multimodal datasets. In this paper, we introduce …

The efficiency of information retrieval systems primarily depends on the effective
representation of documents during query processing. This representation is mainly …

Information Retrieval (IR) systems are developed to fetch the most relevant content matching
the user's information needs from a pool of information. A user expects to get IR results …

There are many optimization algorithms to help BIA. Hajieskandar et al.(2020) use hybrid
neural networks and a grey wolf algorithm. Lu et al.(2020) propose a diagnosis system …

Currently, on the Internet, the information about agriculture is augmenting extremely; thus,
searching for precise, relevant data of various details is highly complicated. To deal with …

There have been extensive studies and rapid improvements in automated document
categorization, document retrieval, document recommendations, etc. These trendy and …

The field of sentiment mining, also known as sentiment analysis and sentiment extraction,
has shown a surge with diverse applications. Various approaches to automate the process …