Saddam Hussain Khan
Orcid: 0000-0002-6681-1987
According to our database1,
Saddam Hussain Khan authored at least 41 papers
between 2019 and 2026.
Collaborative distances:
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Bibliography
2026
DenseSwinV2: Channel Attentive Dual Branch CNN Transformer Learning for Cassava Leaf Disease Classification.
CoRR, March, 2026
CGRA-DeBERTa Concept Guided Residual Augmentation Transformer for Theologically Islamic Understanding.
CoRR, February, 2026
TFT-ACB-XML: Decision-Level Integration of Customized Temporal Fusion Transformer and Attention-BiLSTM with XGBoost Meta-Learner for BTC Price Forecasting.
CoRR, February, 2026
A Tumor Aware DenseNet Swin Hybrid Learning with Boosted and Hierarchical Feature Spaces for Large-Scale Brain MRI Classification.
CoRR, January, 2026
RSwinV2-MD: An Enhanced Residual SwinV2 Transformer for Monkeypox Detection from Skin Images.
CoRR, January, 2026
MambaFormer: Token-Level Guided Routing Mixture-of-Experts for Accurate and Efficient Clinical Assistance.
CoRR, January, 2026
2025
Residual-SwinCA-Net: A Channel-Aware Integrated Residual CNN-Swin Transformer for Malignant Lesion Segmentation in BUSI.
CoRR, December, 2025
Int. J. Data Sci. Anal., November, 2025
RS-CA-HSICT: A Residual and Spatial Channel Augmented CNN Transformer Framework for Monkeypox Detection.
CoRR, November, 2025
A Novel Deep Hybrid Framework with Ensemble-Based Feature Optimization for Robust Real-Time Human Activity Recognition.
CoRR, August, 2025
CE-RS-SBCIT A Novel Channel Enhanced Hybrid CNN Transformer with Residual, Spatial, and Boundary-Aware Learning for Brain Tumor MRI Analysis.
CoRR, August, 2025
Advanced Hybrid Transformer LSTM Technique with Attention and TS Mixer for Drilling Rate of Penetration Prediction.
CoRR, August, 2025
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions.
CoRR, March, 2025
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection.
CoRR, March, 2025
IEEE Access, 2025
2024
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron.
J. Exp. Theor. Artif. Intell., November, 2024
RS-FME-SwinT: A Novel Feature Map Enhancement Framework Integrating Customized SwinT with Residual and Spatial CNN for Monkeypox Diagnosis.
CoRR, 2024
A Novel Feature Map Enhancement Technique Integrating Residual CNN and Transformer for Alzheimer Diseases Diagnosis.
CoRR, 2024
A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting.
CoRR, 2024
Malaria parasitic detection using a new Deep Boosted and Ensemble Learning framework.
Complex Intell. Syst., 2024
2023
COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs.
Expert Syst. Appl., November, 2023
Comput. Secur., October, 2023
Segmentation of shoulder muscle MRI using a new Region and Edge based Deep Auto-Encoder.
Multim. Tools Appl., April, 2023
A Recent Survey of the Advancements in Deep Learning Techniques for Monkeypox Disease Detection.
CoRR, 2023
COVID-19 Infection Analysis Framework using Novel Boosted CNNs and Radiological Images.
CoRR, 2023
2022
A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI.
Sensors, 2022
Malaria Parasitic Detection using a New Deep Boosted and Ensemble Learning Framework.
CoRR, 2022
CoRR, 2022
COVID-19 Detection and Analysis From Lung CT Images using Novel Channel Boosted CNNs.
CoRR, 2022
Autonomous Drone Swarm Navigation and Multi-target Tracking in 3D Environments with Dynamic Obstacles.
CoRR, 2022
CoRR, 2022
A New Deep Hybrid Boosted and Ensemble Learning-based Brain Tumor Analysis using MRI.
CoRR, 2022
Autonomous Drone Swarm Navigation and Multitarget Tracking With Island Policy-Based Optimization Framework.
IEEE Access, 2022
IEEE Access, 2022
2021
Comput. Biol. Medicine, 2021
2020
Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural Networks.
CoRR, 2020
2019
Transfer Learning and Meta Classification Based Deep Churn Prediction System for Telecom Industry.
CoRR, 2019