Asif Karim

Orcid: 0000-0001-8532-6816

According to our database1, Asif Karim authored at least 27 papers between 2018 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Pixel-level image analysis to derive the broncho-artery (BA) ratio employing HRCT scans: A computer-aided approach.
Intell. Syst. Appl., November, 2023

Camera-based interactive wall display using hand gesture recognition.
Intell. Syst. Appl., September, 2023

Brain Tumor Segmentation from 3D MRI Scans Using U-Net.
SN Comput. Sci., July, 2023

High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images.
Comput. Biol. Medicine, March, 2023

Analysis of Diabetic Retinopathy (DR) Based on the Deep Learning.
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

Bengali News Abstractive Summarization: T5 Transformer and Hybrid Approach.
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

2021
DeepFakes: Detecting Forged and Synthetic Media Content Using Machine Learning.
CoRR, 2021

Machine Learning Based PV Power Generation Forecasting in Alice Springs.
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

A Comparative Study of Different Machine Learning Tools in Detecting Diabetes.
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

2019
An Intelligent Spam Detection Model Based on Artificial Immune System.
Inf., 2019

A Comprehensive Survey for Intelligent Spam Email Detection.
IEEE Access, 2019

2018
Shot-Net: A Convolutional Neural Network for Classifying Different Cricket Shots.
Proceedings of the Recent Trends in Image Processing and Pattern Recognition, 2018

D-CARE: A Non-invasive Glucose Measuring Technique for Monitoring Diabetes Patients.
Proceedings of International Joint Conference on Computational Intelligence, 2018


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