Said Ohamouddou

Orcid: 0009-0006-9175-9769

According to our database1, Said Ohamouddou authored at least 7 papers between 2025 and 2026.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
LIDARLearn: A Unified Deep Learning Library for 3D Point Cloud Classification, Segmentation, and Self-Supervised Representation Learning.
CoRR, April, 2026

Constrained Multi-Objective Genetic Algorithm Variants for Design and Optimization of Tri-Band Microstrip Patch Antenna loaded CSRR for IoT Applications: A Comparative Case Study.
CoRR, January, 2026

Introducing the short-time fourier Kolmogorov Arnold network: A dynamic graph CNN approach for tree species classification in 3D point clouds.
Pattern Recognit., 2026

AI-Assisted Metasurface Antennas Design/Optimization and Performance Enhancement Techniques: A Comprehensive Survey.
IEEE Access, 2026

2025
ATMS-KD: Adaptive Temperature and Mixed Sample Knowledge Distillation for a Lightweight Residual CNN in Agricultural Embedded Systems.
CoRR, August, 2025

MS-DGCNN++: A Multi-Scale Fusion Dynamic Graph Neural Network with Biological Knowledge Integration for LiDAR Tree Species Classification.
CoRR, July, 2025

Dynamic Graph CNN with Jacobi Kolmogorov-Arnold Networks for 3D Classification of Point Sets.
CoRR, June, 2025


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