Muhammad J. Iqbal

Orcid: 0000-0002-8505-7705

According to our database1, Muhammad J. Iqbal authored at least 28 papers between 2011 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Hybrid Excitable Spiking Neural Network for Cardiovascular Disease Prediction.
IEEE Access, 2023

Faster-PestNet: A Lightweight Deep Learning Framework for Crop Pest Detection and Classification.
IEEE Access, 2023

2022
Urdu signboard detection and recognition using deep learning.
Multim. Tools Appl., 2022

Summarization of Cricket Videos Using Deep Learning Technique.
Proceedings of the International Conference on Frontiers of Information Technology, 2022

2021
Detection and Recognition of Vehicle's Headlights Types for Surveillance Using Deep Neural Networks.
Proceedings of the Deep Learning for Unmanned Systems, 2021

Language Modeling and Text Generation Using Hybrid Recurrent Neural Network.
Proceedings of the Deep Learning for Unmanned Systems, 2021

Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter.
Sensors, 2021

Real-Time Surveillance Using Deep Learning.
Secur. Commun. Networks, 2021

Smart Home Automation Using Intelligent Electricity Dispatch.
IEEE Access, 2021

2020
Hazy Glimpse Crook Virtual Assistant for Blind and Visual Impaired Community Healthcare.
J. Medical Imaging Health Informatics, 2020

EAUHHCAMA: Extending and Adapting Usability Heuristics for Healthcare Related Context-Aware Mobile Applications.
J. Medical Imaging Health Informatics, 2020

Biological Data Classification and Analysis Using Convolutional Neural Network.
J. Medical Imaging Health Informatics, 2020

Urdu-Text Detection and Recognition in Natural Scene Images Using Deep Learning.
IEEE Access, 2020

2019
Real-Time Surveillance Through Face Recognition Using HOG and Feedforward Neural Networks.
IEEE Access, 2019

Two Stream Deep Neural Network for Sequence-Based Urdu Ligature Recognition.
IEEE Access, 2019

2018
Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection.
IEEE Access, 2018

Active project based learning pedagogies: Learning hardware, software design and wireless sensor instrumentation.
Proceedings of the 2018 IEEE Global Engineering Education Conference, 2018

Computationally Efficient Low Power Neuron Model for Digital Brain.
Proceedings of the 14th International Conference on Computational Intelligence and Security, 2018

2017
Computational Technique for an Efficient Classification of Protein Sequences With Distance-Based Sequence Encoding Algorithm.
Comput. Intell., 2017

2016
Classification of GPCRs proteins using a statistical encoding method.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014
Reliable Radiation Hybrid Maps: An Efficient Scalable Clustering-Based Approach.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

A noise-aware method for building radiation hybrid maps.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
A fast and scalable clustering-based approach for constructing reliable radiation hybrid maps.
Proceedings of the 12th International Workshop on Data Mining in Bioinformatics, 2013

Poster: Clustering-based approach for constructing reliable radiation hybrid framework maps.
Proceedings of the IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, 2013

Data Mining of Protein Sequences with Amino Acid Position-Based Feature Encoding Technique.
Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013

2011
Frequent Substring-Based Sequence Classification with an Ensemble of Support Vector Machines Trained Using Reduced Amino Acid Alphabets.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Network-Based Filtering of Unreliable Markers in Genome Mapping.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Multiple Sources Classification of Gene Position on Chromosomes Using Statistical Significance of Individual Classification Results.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011


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