22 citations · 44 across the 9 of their papers we have counts for
9 papers
From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing
Lanxiao Huang, Daksh Dave, Tyler Cody +2
Large language models (LLMs) are increasingly used to automate or augment penetration testing, but their effectiveness and reliability across attack phases remain unclear. We prese…
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…
Drone-Enabled Load Management for Solar Small Cell Networks in Next-Gen Communications Optimization for Solar Small Cells
Daksh Dave, Dhruv Khut, Sahil Nawale +3
In recent years, the cellular industry has witnessed a major evolution in communication technologies. It is evident that the Next Generation of cellular networks(NGN) will play a p…
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…
SkyCharge: Deploying Unmanned Aerial Vehicles for Dynamic Load Optimization in Solar Small Cell 5G Networks
Daksh Dave, Vinay Chamola, Sandeep Joshi +1
The power requirements posed by the fifth-generation and beyond cellular networks are an important constraint in network deployment and require energy-efficient solutions. In this…
SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework
Daksh Dave, Aditya Sharma, Shafii Muhammad Abdulhamid +3
Due to the rapid development of technology and the widespread usage of smartphones, the number of mobile applications is exponentially growing. Finding a suitable collection of app…