Titlebook: Data Science and Emerging Technologies; Proceedings of DaSET Yap Bee Wah,Dhiya Al-Jumeily OBE,Michael W. Berry Conference proceedings 2024

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Sentiment Analysis Using Large Language Models: A Case Study of GPT-3.5 sentiment analysis. We evaluate its performance on established benchmark datasets as well as a collection of reviews extracted from Google Maps. The findings indicate that the Large Language Models can outperform traditional methods in the literature, and they do not require pre-processing, unlike traditional methods.

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Multi-aspect Extraction in Indonesian Reviews Through Multi-label Classification Using Pre-trained B analysis. While previous studies have successfully extracted aspects, they often focused on a single-aspect per review, overlooking the presence of multiple aspects within sentences. This limitation has affected capturing a complete user opinion, thus posing a challenge despite the complexity of co

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Artificial Intelligence (AI) Empowered Sign Language Recognition Using Hybrid Neural Networksbodily motions. Although sign language has become more common in recent years, communicating with sign language speakers or signers remains difficult for non-sign language speakers. There has been promising progress in the disciplines of motion and gesture detection utilizing Artificial Intelligent

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The Performance of GPT-3.5 in Summarizing Scientific and News Articlest summarization models that convert information into precise summaries such that essential details are not overlooked. Recently, GPT-3.5 has demonstrated impressive performance in text completion, generation, and question answering. However, its effectiveness in generating concise and coherent summa

ETHER

Wound Stage Recognition Using YOLOv5t-hand experience that such wounds are often wrongly classified, making the healing process difficult and painful for the patient, when it does not need to be the case. This study aims to research the use of modern computer vision and artificial intelligence techniques to aid in the classification o

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Harvest Palm Tree Based on Detection Through 2D LiDAR Sensor Using Power Equationection where 2D LiDAR sensors are utilized to collect data like distance and reflection strength. Through analysis, the gathered data are compared with an array of trend lines to ascertain the optimal data relationship. Among the equations considered, including linear, logarithmic, polynomial, and p

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