The act of identifying a moving object inside a video is referred to as 'entity tracking.' It has applications in monitoring and robotics, as well as imaging medicine and tracking autonomous vehicles, among ot...
详细信息
The exponential growth of digital information demands new approaches for identifying relevant documents efficiently. Keyword-based searches often fail to surface meaningful connections between text due to the locality...
详细信息
ISBN:
(数字)9798350380460
ISBN:
(纸本)9798350380477
The exponential growth of digital information demands new approaches for identifying relevant documents efficiently. Keyword-based searches often fail to surface meaningful connections between text due to the locality of context. This paper emphasizes the role of semantic similarity analysis in improving relevance-based search. Moving beyond traditional keyword matching, we propose a system that leverages deep learning in text embedding models to capture both lexical and contextual nuances, thus, improving information retrieval. Using corpora of research publications, we explore how embedding models (e.g., Universal Sentence Encoder, fastText, Sentence Transformers) compare in finding relevant documents. Our results indicate that deep learning-based approaches, particularly Sentence Transformers, outperform traditional methods, demonstrating improved precision in handling long and complex queries. By focusing on semantic similarity analyses-based relevance, we show how this approach offers researchers a more context-aware tool for navigating large digital libraries.
UWASN has various challenges such as minimal bandwidth availability, long propagation delay, increased energy exhaustion, increased deployment cost and security. The routing protocols should facilitate an enhanced dat...
详细信息
Hodgkin's lymphoma (HL), a cancer of the lymphatic system, the immune system of the body, affects 1 million people every year. Although very curable, yet in advanced-stage HL, prognostic indices may help recommend...
详细信息
The practice of getting competitive quotes from carriers to convey goods is known as shipment bidding. Currently, open bidding is handled manually, and prospective bidders are frequently disqualified from taking part ...
详细信息
Smart Farm, an innovative agricultural platform, is at the forefront of revolutionizing traditional farming practices by integrating machine learning, deep learning algorithms, and IoT technologies seamlessly. This tr...
详细信息
The rapid expansion of loT-based sensor networks has necessitated the development of efficient edge analytics frameworks to process vast amounts of data in real time while minimizing computational overhead. Deep learn...
详细信息
This research delves into the use of OpenAI's GPT-3.5 Turbo model to transform human commands provided to a virtual agent in a virtual simulated environment into action, object and results. For this, the sophistic...
详细信息
The healthcare industry has benefited greatly from cloud computing (CC), but its expansion is being impeded by privacy and security concerns. In order to realize its full scope and effective utilization, such concerns...
详细信息
This report mainly concentrates on cancer prediction, particularly focusing on breast cancer prediction, which remains a significant challenge in healthcare. Improving patient outcomes requires early identification an...
详细信息
暂无评论