Amin Ul Haq

Orcid: 0000-0002-7774-5604

According to our database1, Amin Ul Haq authored at least 31 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
DEBCM: Deep Learning-Based Enhanced Breast Invasive Ductal Carcinoma Classification Model in IoMT Healthcare Systems.
IEEE J. Biomed. Health Informatics, March, 2024

Multi-view social recommendation via matrix factorization with sub-linear convergence rate.
Expert Syst. Appl., March, 2024

SA-Bi-LSTM: Self Attention With Bi-Directional LSTM-Based Intelligent Model for Accurate Fake News Detection to Ensured Information Integrity on Social Media Platforms.
IEEE Access, 2024

2023
MCNN: a multi-level CNN model for the classification of brain tumors in IoT-healthcare system.
J. Ambient Intell. Humaniz. Comput., 2023

2022
IIMFCBM: Intelligent Integrated Model for Feature Extraction and Classification of Brain Tumors Using MRI Clinical Imaging Data in IoT-Healthcare.
IEEE J. Biomed. Health Informatics, 2022

A survey of deep learning techniques based Parkinson's disease recognition methods employing clinical data.
Expert Syst. Appl., 2022

Stacking approach for accurate Invasive Ductal Carcinoma classification.
Comput. Electr. Eng., 2022

Application of Near-Field Scanning Microwave Microscopy in Liquid Environment.
IEEE Access, 2022

2021
Diagnostic Approach for Accurate Diagnosis of COVID-19 Employing Deep Learning and Transfer Learning Techniques through Chest X-ray Images Clinical Data in E-Healthcare.
Sensors, 2021

Correction to: An overview and evaluation of citation recommendation models.
Scientometrics, 2021

Pairwise deep learning to rank for top-N recommendation.
J. Intell. Fuzzy Syst., 2021

Emotional-physic analysis using multi-feature hybrid classification.
J. Intell. Fuzzy Syst., 2021

Efficient secure surveillance on smart healthcare IoT system through cosine-transform encryption.
J. Intell. Fuzzy Syst., 2021

A Novel Stacking Approach for Accurate Detection of Fake News.
IEEE Access, 2021

Detection of Breast Cancer Through Clinical Data Using Supervised and Unsupervised Feature Selection Techniques.
IEEE Access, 2021

2020
A New Approach for Enhancing the Services of the 5G Mobile Network and IOT-Related Communication Devices Using Wavelet-OFDM and Its Applications in Healthcare.
Sci. Program., 2020

Partial Observer Decision Process Model for Crane-Robot Action.
Sci. Program., 2020

Application of Big Data Fusion Based on Cloud Storage in Green Transportation: An Application of Healthcare.
Sci. Program., 2020

Object Detection through Modified YOLO Neural Network.
Sci. Program., 2020

Intelligent Machine Learning Approach for Effective Recognition of Diabetes in E-Healthcare Using Clinical Data.
Sensors, 2020

Protect Mobile Travelers Information in Sensitive Region Based on Fuzzy Logic in IoT Technology.
Secur. Commun. Networks, 2020

Spam Detection Approach for Secure Mobile Message Communication Using Machine Learning Algorithms.
Secur. Commun. Networks, 2020

A novel integrated diagnosis method for breast cancer detection.
J. Intell. Fuzzy Syst., 2020

Recognition of the parkinson's disease using a hybrid feature selection approach.
J. Intell. Fuzzy Syst., 2020

Image Retrieval Scheme Using Quantized Bins of Color Image Components and Adaptive Tetrolet Transform.
IEEE Access, 2020

Heart Disease Identification Method Using Machine Learning Classification in E-Healthcare.
IEEE Access, 2020

Predicting Emerging Trends on Social Media by Modeling it as Temporal Bipartite Networks.
IEEE Access, 2020

SMSH: Secure Surveillance Mechanism on Smart Healthcare IoT System With Probabilistic Image Encryption.
IEEE Access, 2020

2019
Breast Cancer Detection in the IOT Health Environment Using Modified Recursive Feature Selection.
Wirel. Commun. Mob. Comput., 2019

Feature Selection Based on L1-Norm Support Vector Machine and Effective Recognition System for Parkinson's Disease Using Voice Recordings.
IEEE Access, 2019

2018
A Hybrid Intelligent System Framework for the Prediction of Heart Disease Using Machine Learning Algorithms.
Mob. Inf. Syst., 2018


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