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Victor Hugo C. de Albuquerque

Victor Hugo C. de Albuquerque

Award Badge
Computer Science
Brazil
2026

D-Index & Metrics

Computer Science

D-Index
82
Citations
20968
World Ranking
983
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Computer Science in Brazil Leader Award
  • 2025 - Research.com Computer Science in Brazil Leader Award
  • 2023 - Research.com Computer Science in Brazil Leader Award
  • 2022 - Research.com Computer Science in Brazil Leader Award

Overview

Victor Hugo C. de Albuquerque is affiliated with the Universidade Federal do Ceará in Brazil and has made extensive contributions to research primarily in the fields of Computer Science and Medicine. Their work spans several subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Networks and Communications, and Information Systems.

The scientist's research covers a variety of topics such as Video Surveillance and Tracking Methods, COVID-19 diagnosis using AI, IoT and Edge/Fog Computing, AI in cancer detection, Advanced Neural Network Applications, EEG and Brain-Computer Interfaces, and Radiomics and Machine Learning in Medical Imaging.

Recent notable papers authored or co-authored by Victor Hugo C. de Albuquerque include:

  • A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images, 2020, Applied Sciences
  • Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions, 2020, IEEE Transactions on Intelligent Transportation Systems
  • Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Automatic detection of COVID-19 infection using chest X-ray images through transfer learning, 2020, IEEE/CAA Journal of Automatica Sinica
  • Human Memory Update Strategy: A Multi-Layer Template Update Mechanism for Remote Visual Monitoring, 2021, IEEE Transactions on Multimedia

Frequent collaborators of Victor Hugo C. de Albuquerque include researchers such as Khan Muhammad, Pedro P. Rebouças Filho, Joel J. P. C. Rodrigues, Senthil Kumar Jagatheesaperumal, and Deepak Gupta.

The scientist frequently publishes in venues that include:

  • IEEE Internet of Things Journal
  • Applied Soft Computing
  • IEEE Transactions on Industrial Informatics
  • Expert Systems with Applications
  • IEEE Network

In addition to journal articles, Victor Hugo C. de Albuquerque has published several books with Springer Nature. These include:

  • IoT in Healthcare and Ambient Assisted Living, 2021
  • Cognitive Informatics and Soft Computing, 2021
  • Hybrid Artificial Intelligence and IoT in Healthcare, 2021
  • Information Management and Machine Intelligence, 2020

The scope of their work encompasses intersections of machine learning, healthcare, and intelligent systems with a strong emphasis on practical applications such as medical imaging diagnostics, autonomous systems safety, and remote monitoring technologies.

Best Publications

  • A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

    Vikash Chouhan;Sanjay Kumar Singh;Aditya Khamparia;Deepak Gupta

  • Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications

    Tiago Carneiro;Raul Victor Medeiros Da Nobrega;Thiago Nepomuceno;Gui-Bin Bian

  • Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions

    Khan Muhammad;Amin Ullah;Jaime Lloret;Javier Del Ser

  • Internet of Things: A survey on machine learning-based intrusion detection approaches

    Kelton A.P. da Costa;João P. Papa;Celso O. Lisboa;Roberto Munoz

  • Enabling Technologies for the Internet of Health Things

    Joel J. P. C. Rodrigues;Dante Borges De Rezende Segundo;Heres Arantes Junqueira;Murilo Henrique Sabino

  • Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey

    Khan Muhammad;Salman Khan;Javier Del Ser;Victor Hugo C. de Albuquerque

  • Artificial Intelligence-Driven Mechanism for Edge Computing-Based Industrial Applications

    Ali Hassan Sodhro;Sandeep Pirbhulal;Victor Hugo C. de Albuquerque

  • A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection

    Mohamed Abdel-Basset;Doaa El-Shahat;Ibrahim M. El-Henawy;Victor Hugo C. de Albuquerque

  • A Reference Model for Internet of Things Middleware

    Mauro A. A. da Cruz;Joel Jose P. C. Rodrigues;Jalal Al-Muhtadi;Valery V. Korotaev

  • Efficient supervised optimum-path forest classification for large datasets

    JoãO P. Papa;Alexandre X. FalcãO;Victor Hugo C. De Albuquerque;JoãO Manuel R. S. Tavares

  • Advances in Photopletysmography Signal Analysis for Biomedical Applications

    Jermana L. Moraes;Matheus Xavier Rocha;Glauco Vasconcelos;José Eurico de Vasconcelos Filho

  • Seasonal Crops Disease Prediction and Classification Using Deep Convolutional Encoder Network

    Aditya Khamparia;Gurinder Saini;Deepak Gupta;Ashish Khanna

  • Optimal feature-based multi-kernel SVM approach for thyroid disease classification

    K. Shankar;S. K. Lakshmanaprabu;Deepak Gupta;Andino Maseleno

  • Automatic 3D pulmonary nodule detection in CT images

    Igor Rafael S. Valente;Paulo César Cortez;Edson Cavalcanti Neto;José Marques Soares

  • Adapting weather conditions based IoT enabled smart irrigation technique in precision agriculture mechanisms

    Bright Keswani;Ambarish G. Mohapatra;Amarjeet Mohanty;Ashish Khanna

  • Detecting Parkinson's Disease with Sustained Phonation and Speech Signals using Machine Learning Techniques

    Jefferson Almeida;Pedro Pedrosa Rebouças Filho;Tiago Carneiro;Wei Wei

  • Automatic detection of COVID-19 infection using chest X-ray images through transfer learning

    Elene Firmeza Ohata;Gabriel Maia Bezerra;Joao Victor Souza das Chagas;Aloisio Vieira Lira Neto

  • Human action recognition using attention based LSTM network with dilated CNN features

    Khan Muhammad;Mustaqeem;Amin Ullah;Amin Ullah;Ali Shariq Imran

  • Human Memory Update Strategy: A Multi-Layer Template Update Mechanism for Remote Visual Monitoring

    Shuai Liu;Shuai Wang;Xinyu Liu;Amir H. Gandomi

  • A medical records managing and securing blockchain based system supported by a Genetic Algorithm and Discrete Wavelet Transform

    Ahmed Faeq Hussein;N Arunkumar;Gustavo Ramírez-González;Enas W. Abdulhay

  • Optimized cuttlefish algorithm for diagnosis of Parkinson’s disease

    Deepak Gupta;Arnav Julka;Sanchit Jain;Tushar Aggarwal

  • Improved diagnosis of Parkinson's disease using optimized crow search algorithm

    Deepak Gupta;Shirsh Sundaram;Ashish Khanna;Aboul Ella Hassanien

  • A Smart Waste Management Solution Geared towards Citizens.

    Kellow Pardini;Joel J.P.C. Rodrigues;Joel J.P.C. Rodrigues;Ousmane Diallo;Ashok Kumar Das

Frequent Co-Authors

João Manuel R. S. Tavares
João Manuel R. S. Tavares University of Porto
Pedro Pedrosa Rebouças Filho
Pedro Pedrosa Rebouças Filho Instituto Federal do Ceará
Joel J. P. C. Rodrigues
Joel J. P. C. Rodrigues Federal University of Piauí
João Paulo Papa
João Paulo Papa Sao Paulo State University
Deepak Gupta
Deepak Gupta Maharaja Agrasen Institute of Technology (MAIT)
Khan Muhammad
Khan Muhammad Sungkyunkwan University
Alexandre X. Falcão
Alexandre X. Falcão State University of Campinas
Sandeep Pirbhulal
Sandeep Pirbhulal Norwegian University of Science and Technology
Sidarta Ribeiro
Sidarta Ribeiro Federal University of Rio Grande do Norte
Javier Del Ser
Javier Del Ser University of the Basque Country

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