Asif Karim
Orcid: 0000-0001-8532-6816
According to our database1,
Asif Karim
authored at least 37 papers
between 2018 and 2024.
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Bibliography
2024
SkinNet-14: a deep learning framework for accurate skin cancer classification using low-resolution dermoscopy images with optimized training time.
Neural Comput. Appl., October, 2024
An image quality assessment method based on edge extraction and singular value for blurriness.
Mach. Vis. Appl., May, 2024
Leveraging Knowledge Distillation for Lightweight Skin Cancer Classification: Balancing Accuracy and Computational Efficiency.
CoRR, 2024
Reimagining otitis media diagnosis: A fusion of nested U-Net segmentation with graph theory-inspired feature set.
Array, 2024
Artificial Intelligence-Driven Advancements in Otitis Media Diagnosis: A Systematic Review.
IEEE Access, 2024
Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images.
IEEE Access, 2024
2023
Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans: A computer-aided approach.
Intell. Syst. Appl., November, 2023
Intell. Syst. Appl., September, 2023
High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images.
Comput. Biol. Medicine, March, 2023
Inf., January, 2023
AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer's Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images.
IEEE Access, 2023
Ergonomic Risk Prediction for Awkward Postures From 3D Keypoints Using Deep Learning.
IEEE Access, 2023
MCNN-LSTM: Combining CNN and LSTM to Classify Multi-Class Text in Imbalanced News Data.
IEEE Access, 2023
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023
2022
A Forecasting Prognosis of the Monkeypox Outbreak Based on a Comprehensive Statistical and Regression Analysis.
Comput., 2022
TimeDistributed-CNN-LSTM: A Hybrid Approach Combining CNN and LSTM to Classify Brain Tumor on 3D MRI Scans Performing Ablation Study.
IEEE Access, 2022
An Image Recognition System of Aboriginal Artefact for Knowledge Sharing using Machine Learning.
Proceedings of the GCH 2022, 2022
A Machine Learning based Proposition for Automated and Methodical Prediction of Liver Disease.
Proceedings of the 10th International Conference on Computer and Communications Management, 2022
A Robust Deep Learning based Framework for High-Precision Detection of Liver Disease.
Proceedings of the 10th International Conference on Computer and Communications Management, 2022
An Apriori Algorithm-Based Association Rule Analysis to detect Human Suicidal Behaviour.
Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022
Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022
Intelligent Identification of Hate Speeches to address the increased rate of Individual Mental Degeneration.
Proceedings of the CENTERIS 2022 - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist, 2022
2021
CoRR, 2021
IEEE Access, 2021
An Unsupervised Approach for Content-Based Clustering of Emails Into Spam and Ham Through Multiangular Feature Formulation.
IEEE Access, 2021
Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques.
IEEE Access, 2021
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021
A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer.
Proceedings of the International Joint Conference on Neural Networks, 2021
Use of Efficient Machine Learning Techniques in the Identification of Patients with Heart Diseases.
Proceedings of the ICISDM 2021: 2021 the 5th International Conference on Information System and Data Mining, Silicon Valley, CA, USA, May 27, 2021
A Robust Deep Learning based Prediction System of Heart Disease using a Combination of Five Datasets.
Proceedings of the 31st International Conference on Computer Theory and Applications, 2021
2020
Efficient Clustering of Emails Into Spam and Ham: The Foundational Study of a Comprehensive Unsupervised Framework.
IEEE Access, 2020
An Automated System in ATM Booth Using Face Encoding and Emotion Recognition Process.
Proceedings of the IPMV 2020: 2nd International Conference on Image Processing and Machine Vision, 2020
2019
2018
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2018
Proceedings of International Joint Conference on Computational Intelligence, 2018