Muhammad Ahmad

Orcid: 0000-0002-3320-2261

Affiliations:
  • King Fahd University of Petroleum and Minerals, SDAIA-KFUPM Joint Research Center for Artificial Intelligence (JRCAI), Dhahran, Saudi Arabia
  • National University of Computer and Emerging Sciences, Department of Computer Science, Pakistan (2022-2024)
  • University of Messina, Dipartimento di Matematica e Informatica-MIFT, Italy (PhD 2021)
  • Innopolis University, Lab of Software and Service Engineering, Russia (2015-2019)


According to our database1, Muhammad Ahmad authored at least 85 papers between 2011 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Cosine-Normalized Attention for Hyperspectral Image Classification.
CoRR, April, 2026

2025
PolicyMamba: Localized Policy Attention With State Space Model for Land Cover Classification.
IEEE Trans. Neural Networks Learn. Syst., October, 2025

Dynamic Memory-enhanced Transformer for Hyperspectral Image Classification.
CoRR, April, 2025

Hybrid State-Space and GRU-based Graph Tokenization Mamba for Hyperspectral Image Classification.
CoRR, February, 2025

Byte Latent Mamba With State Space and Knowledge Distillation for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2025

GraphMamba: Graph Tokenization Mamba for Hyperspectral Image Classification.
IEEE Trans. Emerg. Top. Comput., 2025

Transformer-Driven Active Transfer Learning for Cross-Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

DiffFormer: A Differential Spatial-Spectral Transformer for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

EnergyFormer: Energy Attention With Fourier Embedding for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2025

Differential Attention With Enhanced Squeeze-and-Excitation for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2025

WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2025

A comprehensive survey for Hyperspectral Image Classification: The evolution from conventional to transformers and Mamba models.
Neurocomputing, 2025

Spatial-spectral morphological mamba for hyperspectral image classification.
Neurocomputing, 2025

2024
EXNet: (2+1)D Extreme Xception Net for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Fusing Transformers in a Tuning Fork Structure for Hyperspectral Image Classification Across Disjoint Samples.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Pyramid Hierarchical Spatial-Spectral Transformer for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Spatial-Spectral Transformer With Conditional Position Encoding for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2024

SCSNet: Sharpened Cosine Similarity-Based Neural Network for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2024

WaveFormer: Spectral-Spatial Wavelet Transformer for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2024

Spectral-Spatial Transformer with Active Transfer Learning for Hyperspectral Image Classification.
CoRR, 2024

Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification.
CoRR, 2024

Multi-head Spatial-Spectral Mamba for Hyperspectral Image Classification.
CoRR, 2024

Transformers Fusion across Disjoint Samples for Hyperspectral Image Classification.
CoRR, 2024

Traditional to Transformers: A Survey on Current Trends and Future Prospects for Hyperspectral Image Classification.
CoRR, 2024

Pyramid Hierarchical Transformer for Hyperspectral Image Classification.
CoRR, 2024

Importance of Disjoint Sampling in Conventional and Transformer Models for Hyperspectral Image Classification.
CoRR, 2024

Improving Generalization for Hyperspectral Image Classification: The Impact of Disjoint Sampling on Deep Models.
Comput. Mater. Continua, 2024

Hyperspectral Image Classification With Fuzzy Spatial-Spectral Class Discriminate Information.
Proceedings of the IEEE International Conference on Image Processing, 2024

2023
Boosting Adversarial Training Using Robust Selective Data Augmentation.
Int. J. Comput. Intell. Syst., December, 2023

Deep transformer and few-shot learning for hyperspectral image classification.
CAAI Trans. Intell. Technol., December, 2023

Impact of convolutional neural network and FastText embedding on text classification.
Multim. Tools Appl., February, 2023

2022
Intrusion Detection Framework for the Internet of Things Using a Dense Random Neural Network.
IEEE Trans. Ind. Informatics, 2022

Hyperspectral and LiDAR Data Classification Using Joint CNNs and Morphological Feature Learning.
IEEE Trans. Geosci. Remote. Sens., 2022

A Disjoint Samples-Based 3D-CNN With Active Transfer Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Hybrid Dense Network With Attention Mechanism for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Attention Autoencoder for Generative Latent Representational Learning in Anomaly Detection.
Sensors, 2022

A Fast and Compact 3-D CNN for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2022

Cross-modal retrieval based on deep regularized hashing constraints.
Int. J. Intell. Syst., 2022

Attention Mechanism Meets with Hybrid Dense Network for Hyperspectral Image Classification.
CoRR, 2022

Secure aggregate signature scheme for smart city applications.
Comput. Commun., 2022

Industry 4.0 technologies and their applications in fighting COVID-19 pandemic using deep learning techniques.
Comput. Biol. Medicine, 2022

Effects of haze and dehazing on deep learning-based vision models.
Appl. Intell., 2022

Hyperspectral Brain Tissue Classification using a Fast and Compact 3D CNN Approach.
Proceedings of the 5th IEEE International Conference on Image Processing Applications and Systems, 2022

A Fast and Compact Hybrid CNN for Hyperspectral Imaging-based Bloodstain Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Deep Learning for hyperspectral Image Classification.
PhD thesis, 2021

Hyperspectral Imaging for Bloodstain Identification.
Sensors, 2021

Regularized CNN Feature Hierarchy for Hyperspectral Image Classification.
Remote. Sens., 2021

Hyperspectral imaging-based unsupervised adulterated red chili content transformation for classification: Identification of red chili adulterants.
Neural Comput. Appl., 2021

Learning-detailed 3D face reconstruction based on convolutional neural networks from a single image.
Neural Comput. Appl., 2021

Real-time image dehazing by superpixels segmentation and guidance filter.
J. Real Time Image Process., 2021

3D/2D regularized CNN feature hierarchy for Hyperspectral image classification.
CoRR, 2021

Hyperspectral Image Classification: Artifacts of Dimension Reduction on Hybrid CNN.
CoRR, 2021

Hyperspectral Image Classification - Traditional to Deep Models: A Survey for Future Prospects.
CoRR, 2021

A Hybrid Deep Model for Brain Tumor Classification.
Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

Survey on Blockchain Applications for Healthcare: Reflections and Challenges.
Proceedings of the Advanced Information Networking and Applications, 2021

2020
Fuzziness-based Spatial-Spectral Class Discriminant Information Preserving Active Learning for Hyperspectral Image Classification.
CoRR, 2020

A Fast 3D CNN for Hyperspectral Image Classification.
CoRR, 2020

Predicting pulsar stars using a random tree boosting voting classifier (RTB-VC).
Astron. Comput., 2020

A Novel Stacked CNN for Malarial Parasite Detection in Thin Blood Smear Images.
IEEE Access, 2020

A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption.
IEEE Access, 2020

Prediction of Microbial Spoilage and Shelf-Life of Bakery Products Through Hyperspectral Imaging.
IEEE Access, 2020

Classification of Shopify App User Reviews Using Novel Multi Text Features.
IEEE Access, 2020

C-POS: A Context-Aware Adaptive Part-of-Speech Language Learning Framework.
IEEE Access, 2020

Duplicate Questions Pair Detection Using Siamese MaLSTM.
IEEE Access, 2020

2019
Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images.
Remote. Sens., 2019

Photographic painting style transfer using convolutional neural networks.
Multim. Tools Appl., 2019

Unsupervised adulterated red-chili pepper content transformation for hyperspectral classification.
CoRR, 2019

User Acceptance of HUMP-Model: The Role of E-Mavenism and Polychronicity.
IEEE Access, 2019

Multi-layer Extreme Learning Machine-based Autoencoder for Hyperspectral Image Classification.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

A Reference Architecture for Smart and Software-Defined Buildings.
Proceedings of the IEEE International Conference on Smart Computing, 2019

Extended sammon projection and wavelet kernel extreme learning machine for gait-based legitimate user identification.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Anomaly Detection in DevOps Toolchain.
Proceedings of the Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment, 2019

Synthesizing Data Using Variational Autoencoders for Handling Class Imbalanced Deep Learning.
Proceedings of the Analysis of Images, Social Networks and Texts, 2019

2018
Using deep features for video scene detection and annotation.
Signal Image Video Process., 2018

Smartwatch-Based Legitimate User Identification for Cloud-Based Secure Services.
Mob. Inf. Syst., 2018

Analysis of Android Camera Spoofing Techniques.
Proceedings of the 19th IEEE/ACIS International Conference on Software Engineering, 2018

2017
Graph-based spatial-spectral feature learning for hyperspectral image classification.
IET Image Process., 2017

Hyperspectral Band Selection Using Unsupervised Non-Linear Deep Auto Encoder to Train External Classifiers.
CoRR, 2017

Extended Sammon Projection and Wavelet Kernel Extreme Learning Machine for Gait-Based Legitimate User Identification on Smartphones.
CoRR, 2017

Seeking Optimum System Settings for Physical Activity Recognition on Smartwatches.
CoRR, 2017

2016
Unsupervised geometrical feature learning from hyperspectral data.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Gait fingerprinting-based user identification on smartphones.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2013
Formal analysis of steady state errors in feedback control systems using HOL-light.
Proceedings of the Design, Automation and Test in Europe, 2013

2011
Progressive Differential Thresholding for Network Anomaly Detection.
Proceedings of IEEE International Conference on Communications, 2011


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