Skip to content
Home / Search

Search

Year: 2025 × Clear filters

4 results for “Mean Absolute Error”

Research Article Open Access Comparative Analysis of cVAE, cGAN, and LSTM Models for Music Generation Based on Weather Conditions
Nedim Karavdić, Karavdić N, Bećir Isaković , Isaković  B
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.11.001

Generative Artificial Intelligence is gaining popularity every day and uses contextual data to personalize and enhance user experiences. This paper explores music generation that is conditioned on weather. It influences musical compositions by connecting MIDI …

Research Article Open Access Assessment of Outdoor Thermal Comfort in Different Courtyard Types: A Case Study of Konya, Turkey
Hande Büşra Geyikli, Geyikli H, Fatih Canan, Canan F
7th International Symposium on Innovation in Architecture, Planning and Design 2025 https://doi.org/10.36287/setsci.23.14.001

Courtyards hold significant functional value in both traditional and contemporary architecture. They serve as open-air spaces that facilitate social interaction for users within urban environments. In order for these spaces to be utilized more efficiently by u…

Research Article Open Access Accurate and Scalable Object Detection for Smart Warehousing Using YOLOv8 and Residual CNNs
Iman Elawady, Elawady I, Abdulrahman Al Homsi, Homsi A, Omer Ahmed Mohamed Ahmed, Ahmed O
International Symposium on AI-Driven Engineering Systems 2025 https://doi.org/10.36287/setsci.22.51.001

Robust object detection and classification in dynamic industrial scenarios is still a challenge, in particular if the system has to work in real-time on mid-ranged hardware. Classical vision-based methods have difficulties to cope with low/weak illumination, r…

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…

Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
Open Discovery Metadata · DOI · OAI-PMH
Global Reachresearchers worldwide