D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 54 Citations 7,800 236 World Ranking 2305 National Ranking 7

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Internal medicine
  • The Internet

His main research concerns Artificial intelligence, Support vector machine, Pattern recognition, Deep learning and Feature extraction. His studies in Artificial intelligence integrate themes in fields like Machine learning and Speech recognition. When carried out as part of a general Speech recognition research project, his work on Voice pathology is frequently linked to work in Voice Disorder, therefore connecting diverse disciplines of study.

His study in Support vector machine is interdisciplinary in nature, drawing from both Local binary patterns, Face, Image and Color image. His biological study spans a wide range of topics, including Blind technique and Image forensics. His Deep learning research integrates issues from Convolutional neural network, State and Human–computer interaction.

His most cited work include:

  • Cloud-assisted Industrial Internet of Things (IIoT) - Enabled framework for health monitoring (378 citations)
  • Passive copy move image forgery detection using undecimated dyadic wavelet transform (147 citations)
  • Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms (143 citations)

What are the main themes of his work throughout his whole career to date?

Ghulam Muhammad mostly deals with Artificial intelligence, Pattern recognition, Speech recognition, Feature extraction and Support vector machine. Ghulam Muhammad works mostly in the field of Artificial intelligence, limiting it down to topics relating to Computer vision and, in certain cases, Chrominance. He combines subjects such as Facial recognition system, Face and Histogram with his study of Pattern recognition.

His Speech recognition research is multidisciplinary, relying on both Mixture model and Mel-frequency cepstrum. His research on Support vector machine often connects related areas such as Discriminative model. The study incorporates disciplines such as Speech corpus and Bengali, Natural language processing in addition to Hidden Markov model.

He most often published in these fields:

  • Artificial intelligence (43.62%)
  • Pattern recognition (27.89%)
  • Speech recognition (24.04%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (43.62%)
  • Deep learning (9.20%)
  • Convolutional neural network (6.53%)

In recent papers he was focusing on the following fields of study:

Ghulam Muhammad focuses on Artificial intelligence, Deep learning, Convolutional neural network, Computer security and Pattern recognition. His Deep learning study combines topics from a wide range of disciplines, such as Tree, Feature, Latency and Wireless. His studies deal with areas such as Transfer of learning, Speech recognition, Discriminative model and Lung cancer as well as Convolutional neural network.

His Speech recognition study combines topics in areas such as Gesture and Microphone. His research in Pattern recognition intersects with topics in Cancer, Pulmonary nodule, Computed tomography and Autoencoder. His work carried out in the field of Convolution brings together such families of science as Feature extraction and Representation.

Between 2019 and 2021, his most popular works were:

  • Explainable AI and Mass Surveillance System-Based Healthcare Framework to Combat COVID-I9 Like Pandemics (46 citations)
  • Cervical cancer classification using convolutional neural networks and extreme learning machines (28 citations)
  • EEG-Based Pathology Detection for Home Health Monitoring (21 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Internal medicine
  • The Internet

His primary areas of study are Artificial intelligence, Deep learning, Convolutional neural network, Computer security and Authentication. Ghulam Muhammad interconnects Throughput and Pattern recognition in the investigation of issues within Artificial intelligence. The Pattern recognition study combines topics in areas such as Artificial neural network, Convolution and Radiography.

His Deep learning research includes elements of Tree, Telecommunications link and Traffic congestion. Within one scientific family, he focuses on topics pertaining to Transfer of learning under Convolutional neural network, and may sometimes address concerns connected to Gesture recognition, Speech recognition, Perceptron and Cervical carcinoma. His Computer security research includes themes of Control, Enhanced Data Rates for GSM Evolution, Edge computing and The Internet.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Cloud-assisted Industrial Internet of Things (IIoT) - Enabled framework for health monitoring

M. Shamim Hossain;Ghulam Muhammad.
Computer Networks (2016)

553 Citations

Passive copy move image forgery detection using undecimated dyadic wavelet transform

Ghulam Muhammad;Muhammad Hussain;George Bebis.
Digital Investigation (2012)

223 Citations

Image forgery detection using steerable pyramid transform and local binary pattern

Ghulam Muhammad;Munner H. Al-Hammadi;Muhammad Hussain;George Bebis.
machine vision applications (2014)

166 Citations

The impact of m-learning technology on students and educators

Hamid R. Abachi;Ghulam Muhammad.
Computers in Human Behavior (2014)

151 Citations

Development of the Arabic Voice Pathology Database and Its Evaluation by Using Speech Features and Machine Learning Algorithms

Tamer A. Mesallam;Mohamed Farahat;Khalid H. Malki;Mansour Alsulaiman.
Journal of Healthcare Engineering (2017)

143 Citations

Smart Health Solution Integrating IoT and Cloud: A Case Study of Voice Pathology Monitoring

Ghulam Muhammad;SK Md Mizanur Rahman;Abdulhameed Alelaiwi;Atif Alamri.
IEEE Communications Magazine (2017)

139 Citations

Emotion recognition using deep learning approach from audio–visual emotional big data

M. Shamim Hossain;Ghulam Muhammad.
Information Fusion (2019)

139 Citations

IoT big data analytics for smart homes with fog and cloud computing

Abdulsalam Yassine;Shailendra Singh;M. Shamim Hossain;Ghulam Muhammad.
Future Generation Computer Systems (2019)

139 Citations

Cloud-Assisted Speech and Face Recognition Framework for Health Monitoring

M. Shamim Hossain;Ghulam Muhammad.
Mobile Networks and Applications (2015)

108 Citations

Enforcing Position-Based Confidentiality With Machine Learning Paradigm Through Mobile Edge Computing in Real-Time Industrial Informatics

Arun Kumar Sangaiah;Darshan Vishwasrao Medhane;Tao Han;M. Shamim Hossain.
IEEE Transactions on Industrial Informatics (2019)

107 Citations

Best Scientists Citing Ghulam Muhammad

M. Shamim Hossain

M. Shamim Hossain

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Publications: 47

Brij B. Gupta

Brij B. Gupta

National Institute of Technology Kurukshetra

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Min Chen

Huazhong University of Science and Technology

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Muhammad Imran

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Mohsen Guizani

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U. Rajendra Acharya

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Atif Alamri

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Ministry of Education

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Arun Kumar Sangaiah

Arun Kumar Sangaiah

Vellore Institute of Technology University

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Yin Zhang

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University of Electronic Science and Technology of China

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Ahmed A. Abd El-Latif

Ahmed A. Abd El-Latif

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Gautam Srivastava

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Brandon University

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Victor Hugo C. de Albuquerque

Victor Hugo C. de Albuquerque

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Di Wu

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Joel J. P. C. Rodrigues

Joel J. P. C. Rodrigues

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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