Abstract: To ensure that Unmanned Aerial Vehicles (UAVs) can carry out tasks safely and efficiently, path planning is an indispensable element. In order to solve the problem of long computation time ...

AI Maze Solver/ ├── backend/ │ ├── app.py # Flask API server │ ├── maze_solver.py # A* algorithm implementation │ ├── test_run.py # Quick test script │ ├── performance_test.py # Performance benchmarks ...

This project is an exercise that forms part of the semester report in the Advanced Algorithms course. It introduces the basics of graphs and shortest path search algorithms for weighted graph, which ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

Abstract: In the paper, a hybrid method combining the A* algorithm with Deep Reinforcement Learning (DQN) in path planning and dynamic collision avoidance of Maritime Autonomous Surface Ships (MASS) ...

ABSTRACT: Autonomous robotics is one of the key subjects of this generation of research and has grown to be more and more popular in recent years, especially in such industries, hospitals, hotels, and ...

Water pollution has long been a critical global concern (Schwarzenbach et al., 2010). Daily water safety has a direct and perpetual impact on human beings (Bhagwat, 2019). Water sampling and quality ...