5 papers
Multi-Agent Stock Prediction Systems: Machine Learning Models, Simulations, and Real-Time Trading Strategies
Daksh Dave, Gauransh Sawhney, Vikhyat Chauhan
This paper presents a comprehensive study on stock price prediction, leveragingadvanced machine learning (ML) and deep learning (DL) techniques to improve financial forecasting acc…
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images
Gauransh Sawhney, Daksh Dave, Adeel Ahmed +2
Unsupervised Domain Adaptation (UDA) methods facilitate knowledge transfer from a labeled source domain to an unlabeled target domain, navigating the obstacle of domain shift. Whil…
PotholeGuard: A Pothole Detection Approach by Point Cloud Semantic Segmentation
Sahil Nawale, Dhruv Khut, Daksh Dave +3
Pothole detection is crucial for road safety and maintenance, traditionally relying on 2D image segmentation. However, existing 3D Semantic Pothole Segmentation research often over…
The New Frontier of Cybersecurity: Emerging Threats and Innovations
Daksh Dave, Gauransh Sawhney, Pushkar Aggarwal +2
In today's digitally interconnected world, cybersecurity threats have reached unprecedented levels, presenting a pressing concern for individuals, organizations, and governments. T…
AIOps-Driven Enhancement of Log Anomaly Detection in Unsupervised Scenarios
Daksh Dave, Gauransh Sawhney, Dhruv Khut +3
Artificial intelligence operations (AIOps) play a pivotal role in identifying, mitigating, and analyzing anomalous system behaviors and alerts. However, the research landscape in t…