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- research-articleJune 2024
Traffic Light Detection for Self-Driving Cars using the YOLOv8 architecture
AICCONF '24: Proceedings of the Cognitive Models and Artificial Intelligence ConferenceMay 2024, Pages 263–269https://doi.org/10.1145/3660853.3660925A traffic light detection dataset is used to evaluate the performance of the latest version of YOLOv8. Using this dataset and an ideal you only look at once (yolo), we can create a data-driven traffic light detection system that has both high detection ...
- research-articleJune 2024
Transforming Dermatological Diagnosis: Deep Learning Approaches for Skin Disease Detection in the Digital Era
AICCONF '24: Proceedings of the Cognitive Models and Artificial Intelligence ConferenceMay 2024, Pages 254–262https://doi.org/10.1145/3660853.3660924Recent years have seen a significant increase in interest in dermatological pictures for the detection and identification of skin diseases due to the rising prevalence of skin disorders. This study compares three widely used deep learning models—VGG-16, ...
- research-articleJune 2024
A Novel End-to-End Framework for Story Generation Using Deep Neural Networks
- Ayan Sar,
- Purvika Joshi,
- Subhangi Sati,
- Richa Choudhary,
- Sumit Aich,
- Tanupriya Choudhury,
- Ketan Kotecha,
- Turgut Ozseven
AICCONF '24: Proceedings of the Cognitive Models and Artificial Intelligence ConferenceMay 2024, Pages 246–253https://doi.org/10.1145/3660853.3660923This paper introduces a novel end-to-end framework for story generation utilising deep neural networks. Generating text belongs to a vital part of Natural Language Processing (henceforth, NLP), and different areas of its applications, including creative ...
- research-articleJune 2024
Analysis of Enhanced Hidden Markov Models for Improved Stock Market Price Forecasting and Prediction
- Rishabh Saxena,
- Adarsh Upadhayay,
- Gaurav Raj,
- Tanupriya Choudhury,
- Ketan Kotecha,
- Ayan Sar,
- Turgut Ozseven
AICCONF '24: Proceedings of the Cognitive Models and Artificial Intelligence ConferenceMay 2024, Pages 237–245https://doi.org/10.1145/3660853.3660922In the ever-evolving landscape of financial markets, the pursuit of accurate stock price predictions remains a formidable challenge. This study addresses the challenge of profitable stock market predictions by exploring modified HMM approaches involving ...
- research-articleJune 2024
An End-to-End Framework for Multi-Docs Chatbot using Llama2
AICCONF '24: Proceedings of the Cognitive Models and Artificial Intelligence ConferenceMay 2024, Pages 232–236https://doi.org/10.1145/3660853.3660921The evolution of conversational agents, in particular the case with chatbots, has experienced huge boosts in recent years, enabling a variety of tasks and allowing users to enjoy much more interaction. This research presents a sequential model for a ...