4 results for “Small living space”
Research Article
Open Access Advanced Maritime Vessel Detection in Satellite Imagery Using Masati-V2
Keerthi Reddy Gudibandi, Gudibandi K, Sreeram Venkata Sai Suchitha, Suchitha S, Chamarthi Sreenivasulu, Sreenivasulu C, Koduru Hajarathaiah, Hajarathaiah K
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.15.001
Maritime vessel detection in satellite images address real time issues such as maritime security, illegal fishing and environmental monitoring, which require efficient tracking of vessels in large scale. Maritime vessel detection is challenged by limited annot…
Research Article
Open Access An AI-Driven Drone-Integrated Mobile Photobioreactor System: A Novel Approach to Atmospheric Carbon Sequestration and Oxygen Emission
Betül Güroy, Güroy B
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.31.001
A universally applicable “optimal photobioreactor” design has yet to be established, as the success of such systems varies depending on the algal species used, environmental conditions, and intended applications. Meanwhile, the accelerating pace of climate cha…
Research Article
Open Access Study of FPGA – Based Spiking Neural Networks: Classification Implementation
Mehmet Sinan Çınaroğlu, Çınaroğlu M, Erol Seke, Seke E
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.26.001
With the help of ability to imitate the biological nervous system, Spiking Neural Networks (SNNs) architectures have become popular recently. In order to benefit at the maximum level from the low power consumption, event-based structure and parallelization fea…
Research Article
Open Access Lightweight Attention-Based Framework for Semantic Segmentation and Compression of 3D LiDAR Data
Rytis Maskeliünas, Maskeliünas R, Sarmad Maqsood, Maqsood S
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.5.001
Efficient semantic segmentation and compression of 3D point cloud data are essential for enabling scalable, real-world applications involving large-scale LiDAR environments. This work presents a lightweight hybrid framework that integrates point transformer v3…