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Saad Ahmed
Observed names:
Ahmed, Saad,
Saad AHMED
Institutions:
University of Kaiserslautern,
Rajshahi University of Engineering and Technology,
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau,
Bangladesh Army University of Science and Technology
Observed institutions:
University of Kaiserslautern,
Rajshahi University of Engineering and Technology,
Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau,
Bangladesh Army University of Science and Technology,
Ministry of Education
ORCID:
0009-0007-3635-3413
Observed ORCID:
0009-0007-3635-3413
OpenAlex ID:
A5019143403
Residues from The Mishraq Sulfur Mine and The Nano_Sulfur Derived from Them as Modifiers for The Mechanical and Thermal Properties of Iraqi Asphalt
2024
·
Saad Ahmed
, Ammar A Hamdoon
, et al.
·
Journal of the Turkish Chemical Society Section A Chemistry
·
5
Preparation of nano sulfur from the wastes (foam) in the Al_Mishraq sulfur mine (Mosul/Iraq)
2023
·
Saad AHMED
, Mote`a ABDULLA
, et al.
·
Journal of the Turkish Chemical Society Section A Chemistry
·
2
PDF
MS-SSE-Net: A Multi-Scale Spatial Squeeze-and-Excitation Network for Structural Damage Detection in Civil and Geotechnical Engineering
2026
·
Khan, Saif ur Rehman
, Waqar, Imad Ahmed
, et al.
·
arXiv (Cornell University)
·
1
PDF
AgroVisNet: A lightweight Convolutional Network and the BD-PlantDX Expert-Validated Benchmark for Radish, Potato and Pointed Gourd Disease Classification
2026
·
Mandal, Md. Abdullah
, Ahmed, Saad
, et al.
·
arXiv (Cornell University)
PDF
A Large-Scale Multi-Crop Leaf Disease Dataset and Benchmarking of Deep Learning Models with Explainable Predictions
2026
·
Saad Ahmed
, Razia Sultana
, et al.
·
IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
Lightweight and Interpretable Deep Learning for Automated Waste Classification
2026
·
Saad Ahmed
, Razia Sultana
, et al.
·
IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)
BarkNet-Lite: A Lightweight Texture and Colour Network with the BarkBD Benchmark for Bark-Based Tree Species Recognition in Bangladesh
2026
·
Aroshi Ali
, Saad Ahmed
, et al.
·
SSRN Electronic Journal
PDF
Lightweight and Interpretable CNNs for Bark-Based Tree Species Classification
2025
·
Aroshi Ali
, Nusrat Jahan
, et al.
·
International Conference on Computer and Information Technology (ICCIT)
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Works count:
9
Citation count:
8
H-index:
2
I10-index:
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