Ameer Hamza

Orcid: 0000-0001-7341-0412

According to our database1, Ameer Hamza authored at least 23 papers between 2015 and 2025.

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Bibliography

2025
Effectiveness of encoder-decoder deep learning approach for colorectal polyp segmentation in colonoscopy images.
Appl. Intell., February, 2025

2024
A novel deep dual self-attention and Bi-LSTM fusion framework for Parkinson's disease prediction using freezing of gait: a biometric application.
Multim. Tools Appl., October, 2024

Multimodal Religiously Hateful Social Media Memes Classification Based on Textual and Image Data.
ACM Trans. Asian Low Resour. Lang. Inf. Process., August, 2024

A deep learning-based x-ray imaging diagnosis system for classification of tuberculosis, COVID-19, and pneumonia traits using evolutionary algorithm.
Int. J. Imaging Syst. Technol., January, 2024

A Novel Network-Level Fusion Architecture of Proposed Self-Attention and Vision Transformer Models for Land Use and Land Cover Classification From Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

FMANet: Super-Resolution Inverted Bottleneck-Fused Self-Attention Architecture for Remote Sensing Satellite Image Recognition.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Novel Bottleneck Residual and Self-Attention Fusion-Assisted Architecture for Land Use Recognition in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Crops Leaf Disease Recognition From Digital and RS Imaging Using Fusion of Multi Self-Attention RBNet Deep Architectures and Modified Dragonfly Optimization.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Unified Super-Resolution Framework of Remote-Sensing Satellite Images Classification Based on Information Fusion of Novel Deep Convolutional Neural Network Architectures.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Majority voting of doctors improves appropriateness of AI reliance in pathology.
Int. J. Hum. Comput. Stud., 2024

Prediction of Alzheimer's disease stages based on ResNet-Self-attention architecture with Bayesian optimization and best features selection.
Frontiers Comput. Neurosci., 2024

Natural Language Processing for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review.
CoRR, 2024

Resource-Efficient Medical Report Generation using Large Language Models.
CoRR, 2024

LLaVA Needs More Knowledge: Retrieval Augmented Natural Language Generation with Knowledge Graph for Explaining Thoracic Pathologies.
CoRR, 2024

2023
IoT networks attacks detection using multi-novel features and extra tree random - voting ensemble classifier (ER-VEC).
J. Ambient Intell. Humaniz. Comput., December, 2023

An Integrated Parallel Inner Deep Learning Models Information Fusion With Bayesian Optimization for Land Scene Classification in Satellite Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Lockstep Composition for Unbalanced Loops.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2023

2022
Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion.
Sensors, 2022

Deepfake Audio Detection via MFCC Features Using Machine Learning.
IEEE Access, 2022

2021
Diminisher: A Linux Kernel Based Countermeasure for TAA Vulnerability.
Proceedings of the Computer Security. ESORICS 2021 International Workshops, 2021

2017
Forecasting battery state of charge for robot missions.
Proceedings of the Symposium on Applied Computing, 2017

2015
Stabilization of panoramic videos from mobile multi-camera platforms.
Image Vis. Comput., 2015


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