Nagpur Institute of Technology

A robust CurvLaneNet-YOLO framework for real-time lane curvature estimation and vehicle detection in intelligent transportation applications

Abstract Current road safety systems face challenges in detecting curved roads and vehicles under varying lighting and weather conditions, leading to lane departure and collision risks. To address this, we propose CurvLaneNet-YOLO, a deep learning framework based on YOLOv8 that s...

Optimizing information retrieval tasks with large language model for data enhancement

Abstract The data science and artificial intelligence, optimizing information retrieval tasks has become crucial for extracting actionable insights from vast amounts of data. The problem is the need for precise query formulation to retrieve relevant data effectively, as LLMs can...

Autonomous Wireless Networks for Smart Factories: An Experimental Study of Latency, Reliability, and Self-Healing Performance in Industrial Environments

In this paper, a detailed experimental study of autonomous wireless network technologies deployed in a live smart factory setup at an automotive component manufacturing facility in Nagpur, India, is presented. A coexisting multi-technology wireless infrastructure, including a 5G...

Autonomous Wireless Networks for Smart Factories: An Experimental Study of Latency, Reliability, and Self-Healing Performance in Industrial Environments

In this paper, a detailed experimental study of autonomous wireless network technologies deployed in a live smart factory setup at an automotive component manufacturing facility in Nagpur, India, is presented. A coexisting multi-technology wireless infrastructure, including a 5G...