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Zhiwei Gao
2,735 Points

Contributions by role

Editor 2,735

Contributions by subject area

Data Mining and Machine Learning
Data Science
Algorithms and Analysis of Algorithms
Artificial Intelligence
Neural Networks
Computer Architecture
Computer Networks and Communications
Distributed and Parallel Computing
Computer Vision
Cryptography
Security and Privacy
Bioinformatics
Visual Analytics
Computational Biology
Network Science and Online Social Networks
Robotics
Emerging Technologies
Autonomous Systems
Natural Language and Speech
Agents and Multi-Agent Systems
Mobile and Ubiquitous Computing

Zhiwei Gao


Summary

Dr. Gao joined Northumbria University in 2011. His research interests include machine learning, data-driven approaches, intelligent optimisation and their applications in complex systems, wind energy systems and healthcare systems.

Artificial Intelligence Autonomous Systems Bioinformatics Computational Biology Data Science Robotics

Past or current institution affiliations

Northumbria University

Work details

Reader

University of Northumbria at Newcastle
Department of Mathematics, Physics and Electrical Engineering

Websites

  • Google Scholar

PeerJ Contributions

  • Edited 17

Academic Editor on

August 12, 2024
Enhancing geotechnical damage detection with deep learning: a convolutional neural network approach
Thabatta Moreira Alves de Araujo, Carlos André de Mattos Teixeira, Carlos Renato Lisboa Francês
https://doi.org/10.7717/peerj-cs.2052
March 29, 2024
A lightweight convolutional neural network (CNN) model for diatom classification: DiatomNet
Huseyin Gunduz, Serkan Gunal
https://doi.org/10.7717/peerj-cs.1970
January 18, 2024
Rolling bearing fault diagnosis based on Gramian angular difference field and improved channel attention model
Lunpan Wei, Xiuyan Peng, Yunpeng Cao
https://doi.org/10.7717/peerj-cs.1807
March 6, 2023
A new deep learning-based technique for rice pest detection using remote sensing
Syeda Iqra Hassan, Muhammad Mansoor Alam, Usman Illahi, Mazliham Mohd Suud
https://doi.org/10.7717/peerj-cs.1167
November 3, 2022
eGAC3D: enhancing depth adaptive convolution and depth estimation for monocular 3D object pose detection
Duc Tuan Ngo, Minh-Quan Viet Bui, Duc Dung Nguyen, Hoang-Anh Pham
https://doi.org/10.7717/peerj-cs.1144
December 9, 2021
Experimental interpretation of adequate weight-metric combination for dynamic user-based collaborative filtering
Savas Okyay, Sercan Aygun
https://doi.org/10.7717/peerj-cs.784
September 29, 2021
Iterative multilinear optimization for planar model fitting under geometric constraints
Jorge Azorin-Lopez, Marc Sebban, Andres Fuster-Guillo, Marcelo Saval-Calvo, Amaury Habrard
https://doi.org/10.7717/peerj-cs.691
September 24, 2021
A combined model for short-term wind speed forecasting based on empirical mode decomposition, feature selection, support vector regression and cross-validated lasso
Tao Wang
https://doi.org/10.7717/peerj-cs.732
September 17, 2021
Navigating the amino acid sequence space between functional proteins using a deep learning framework
Tristan Bitard-Feildel
https://doi.org/10.7717/peerj-cs.684
September 10, 2021
Semi-supervised associative classification using ant colony optimization algorithm
Hamid Hussain Awan, Waseem Shahzad
https://doi.org/10.7717/peerj-cs.676
July 14, 2021
Predictive and discriminative localization of pathology using high resolution class activation maps with CNNs
Sumeet Shinde, Priyanka Tupe-Waghmare, Tanay Chougule, Jitender Saini, Madhura Ingalhalikar
https://doi.org/10.7717/peerj-cs.622
May 27, 2021
Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control
Lucas N. Alegre, Ana L.C. Bazzan, Bruno C. da Silva
https://doi.org/10.7717/peerj-cs.575
May 25, 2021
EnsemV3X: a novel ensembled deep learning architecture for multi-label scene classification
Priyal Sobti, Anand Nayyar, Niharika, Preeti Nagrath
https://doi.org/10.7717/peerj-cs.557
April 22, 2021
ST-AFN: a spatial-temporal attention based fusion network for lane-level traffic flow prediction
Guojiang Shen, Kaifeng Yu, Meiyu Zhang, Xiangjie Kong
https://doi.org/10.7717/peerj-cs.470
April 9, 2021
Strategy to improve the accuracy of convolutional neural network architectures applied to digital image steganalysis in the spatial domain
Reinel Tabares-Soto, Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Mario Alejandro Bravo-Ortíz, Daniel Arias-Garzón, Jesús Alejandro Alzate Grisales, Alejandro Burbano Jacome, Simon Orozco-Arias, Gustavo Isaza, Raul Ramos Pollan
https://doi.org/10.7717/peerj-cs.451
March 25, 2021
Coordinated ramp signal optimization framework based on time series flux-correlation analysis
Zhi Liu, Wendi Shu, Guojiang Shen, Xiangjie Kong
https://doi.org/10.7717/peerj-cs.446
February 23, 2021
Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm
Adi Alhudhaif, Zafer Cömert, Kemal Polat
https://doi.org/10.7717/peerj-cs.405