Sareer Ul Amin
Orcid: 0000-0001-9479-3846
According to our database1,
Sareer Ul Amin authored at least 17 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
A comprehensive approach for image quality assessment using quality-centric embedding and ranking networks.
Pattern Recognit., 2026
BoXFire: Geometry-aware box-supervised fusion for accurate fire and smoke segmentation.
Adv. Eng. Informatics, 2026
2025
Enhancing pine wilt disease detection with synthetic data and external attention-based transformers.
Eng. Appl. Artif. Intell., 2025
2024
Video Anomaly Detection Utilizing Efficient Spatiotemporal Feature Fusion with 3D Convolutions and Long Short-Term Memory Modules.
Adv. Intell. Syst., July, 2024
An automated chest X-ray analysis for COVID-19, tuberculosis, and pneumonia employing ensemble learning approach.
Biomed. Signal Process. Control., January, 2024
Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application.
CoRR, 2024
Harnessing synthetic data for enhanced detection of Pine Wilt Disease: An image classification approach.
Comput. Electron. Agric., 2024
Corrections to "Spatially Aware Fusion in 3D Convolutional Autoencoders for Video Anomaly Detection".
IEEE Access, 2024
IEEE Access, 2024
IEEE Access, 2024
Enhanced Anomaly Detection in Pandemic Surveillance Videos: An Attention Approach With EfficientNet-B0 and CBAM Integration.
IEEE Access, 2024
2023
Deep learning based active learning technique for data annotation and improve the overall performance of classification models.
Expert Syst. Appl., October, 2023
An Efficient and Robust Hand Gesture Recognition System of Sign Language Employing Finetuned Inception-V3 and Efficientnet-B0 Network.
Comput. Syst. Sci. Eng., 2023
Comput. Syst. Sci. Eng., 2023
An Automated Chest X-Ray Image Analysis for Covid-19 and Pneumonia Diagnosis Using Deep Ensemble Strategy.
IEEE Access, 2023
2022
Virtual Real. Intell. Hardw., 2022
Convergence Enhancement of Super-Twisting Sliding Mode Control Using Artificial Neural Network for DFIG-Based Wind Energy Conversion Systems.
IEEE Access, 2022