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https://doi.org/10.12688/f1000research.124057.1
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Granite classification using machine learning and edge computing
[version 1; peer review: 1 approved, 2 approved with reservations]
Madhavi Karanam, Krishna Chythanya Nagaraju, Gotham Sai P, SaiKiran Manasa S, Pranay Krishna G
Peer Reviewers Ratan Lal; Blessing Olamide Taiwo; Zhi Yu
PUBLISHED 08 Nov 2022
https://doi.org/10.12688/f1000research.125425.1
Review metrics
Machine learning algorithms: their applications in plant omics and agronomic traits’ improvement
[version 1; peer review: 3 not approved]
Itunuoluwa Isewon, Oluwabukola Apata, Fesobi Oluwamuyiwa, Olufemi Aromolaran, Jelili Oyelade
Peer Reviewers Aalt-Jan van Dijk; Hao Tong; Haixiao Hu
  • Funders
  • World Bank Group
  • Covenant University Center for Research, Innovation and Discovery
  • Communication Africa Centre of Excellence
PUBLISHED 04 Nov 2022
https://doi.org/10.12688/f1000research.126479.1
Research Article metrics
Machine learning model to predict endophytic colonisation of rice cultivar plant tissues by Beauveria bassiana isolates and their potential as bio-control agents against rice stem borer using existing knowledge
[version 1; peer review: 2 approved with reservations]
Mireille Merlise Megnidio-Tchoukouegno, Evariste Bosco Gueguim Kana, Wonroo B.A. Bancole
Peer Reviewers Luis Carlos Ramos Aguila; Yordanys Ramos
PUBLISHED 03 Nov 2022
https://doi.org/10.12688/f1000research.124796.1
Systematic Review metrics
Recent advancements in machine vision methods for product code recognition: A systematic review
[version 1; peer review: 2 approved]
Jarmo Koponen, Keijo Haataja, Pekka Toivanen
Peer Reviewers Mehwish Leghari; Zobeir Raisi
PUBLISHED 27 Sep 2022
https://doi.org/10.12688/f1000research.108008.2
Software Tool Article metrics
Revised
The Neuroimaging Data Model Linear Regression Tool (nidm_linreg): PyNIDM Project
[version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved]
Ashmita Kumar, Albert Crowley, Nazek Queder, JB Poline, Satrajit S. Ghosh, David Kennedy, Jeffrey S. Grethe, Karl G. Helmer, David B. Keator
Peer Reviewers Adam G. Thomas and Eric Earl; Karsten Specht; Tengfei Li; Gabriele Lohmann
  • Funders
  • National Institute of Mental Health
  • International Neuroinformatics Coordinating Facility
  • National Institute of Biomedical Imaging and Bioengineering
LATEST VERSION PUBLISHED 29 Jul 2022
https://doi.org/10.12688/f1000research.110567.2
Method Article metrics
Revised
Formal definition of the MARS method for quantifying the unique target class discoveries of selected machine classifiers
[version 2; peer review: 2 approved]
Felipe Restrepo, Namrata Mali, Alan Abrahams, Peter Ractham
Peer Reviewers Timothy A. Warner; Samir Chatterjee
  • Funder
  • Virginia Tech
LATEST VERSION PUBLISHED 01 Jul 2022
https://doi.org/10.12688/f1000research.73131.2
Research Article metrics
Revised
Modelling sentiments based on objectivity and subjectivity with self-attention mechanisms
[version 2; peer review: 1 approved, 2 approved with reservations]
Hu Ng, Glenn Jun Weng Chia, Timothy Tzen Vun Yap, Vik Tor Goh
Peer Reviewers Ashima Yadav; Hien D. Nguyen; Marco Polignano
LATEST VERSION PUBLISHED 17 May 2022
https://doi.org/10.12688/f1000research.110711.1
Research Article metrics
Risk prediction model for 24-hour mortality in preterm infants using lactate and blood gas analysis: A machine learning approach and retrospective cohort study
[version 1; peer review: 2 not approved]
Felipe Yu Matsushita, Vera Lúcia Jornada Krebs, Werther Brunow de Carvalho
Peer Reviewers Thomas Wood; Fu-Sheng Chou
PUBLISHED 20 Apr 2022
https://doi.org/10.12688/f1000research.73166.1
Research Article metrics
Machine learning methods to predict particulate matter PM2.5
[version 1; peer review: 2 approved]
Naveen Palanichamy, Su-Cheng Haw, Subramanian S, Rishanti Murugan, Kuhaneswaran Govindasamy
Peer Reviewers Stella Morris; Charles Raja S.
  • Funder
  • Multimedia University
PUBLISHED 11 Apr 2022
https://doi.org/10.12688/f1000research.110090.1
Research Article metrics
Machine learning techniques for predicting depression and anxiety in pregnant and postpartum women during the COVID-19 pandemic: a cross-sectional regional study
[version 1; peer review: 2 approved]
Radwan Qasrawi, Malak Amro, Stephanny VicunaPolo, Diala Abu Al-Halawa, Hazem Agha, Rania Abu Seir, Maha Hoteit, Reem Hoteit, Sabika Allehdan, Nouf Behzad, Khlood Bookari, Majid AlKhalaf, Haleama Al-Sabbah, Eman Badran, Reema Tayyem
Peer Reviewers Chadi Ibrahim Fakih; Iyad Tumar
PUBLISHED 04 Apr 2022
https://doi.org/10.12688/f1000research.73630.1
Research Article metrics
Taking facial expression recognition outside the lab and into the wild by using challenging datasets and improved performance metrics
[version 1; peer review: 2 not approved]
Khalid Ibrahim Adem, Kannan Ramakrishnan, Kousalya Govardhanan, Rathimala Kannan
Peer Reviewers Marios Fanourakis; Haythem Ghazouani
  • Funder
  • Multimedia University
PUBLISHED 23 Mar 2022
https://doi.org/10.12688/f1000research.72894.2
Research Article metrics
Revised
Non-invasive health prediction from visually observable features
[version 2; peer review: 1 approved, 2 approved with reservations]
Fan Yi Khong, Tee Connie, Michael Kah Ong Goh, Li Pei Wong, Pin Shen Teh, Ai Ling Choo
Peer Reviewers Andrews Samraj; Prabina Kumar Meher; Yong Wee Sek
LATEST VERSION PUBLISHED 02 Mar 2022
https://doi.org/10.12688/f1000research.72984.1
Method Article metrics
Synthetic time series data generation for edge analytics
[version 1; peer review: 1 not approved]
Subarmaniam Kannan
Peer Reviewers Fahd Saghir
  • Funder
  • Ministry of Higher Education (MOHE) Fundamental Research Grant Scheme
PUBLISHED 20 Jan 2022
https://doi.org/10.12688/f1000research.70658.1
Research Article metrics
Anomalous energy consumption detection using a Naïve Bayes approach
[version 1; peer review: 2 approved with reservations]
Jia Yan Lim, Wooi-Nee Tan, Yi-Fei Tan
Peer Reviewers Kim Gaik Tay; Yassine Himeur
PUBLISHED 19 Jan 2022
https://doi.org/10.12688/f1000research.52026.2
Method Article metrics
Revised
A deep learning segmentation strategy that minimizes the amount of manually annotated images
[version 2; peer review: 2 approved]
Thierry Pécot, Alexander Alekseyenko, Kristin Wallace
Peer Reviewers Alice Lucas; Romain F Laine
  • Funder
  • Chan Zuckerberg Initiative
LATEST VERSION PUBLISHED 17 Jan 2022
https://doi.org/10.12688/f1000research.73156.2
Research Article metrics
Revised
Crowd density estimation using deep learning for Hajj pilgrimage video analytics
[version 2; peer review: 3 approved]
MD ROMAN BHUIYAN, Dr Junaidi Abdullah, Dr Noramiza Hashim, Fahmid Al Farid, Dr Jia Uddin, Norra Abdullah, Dr Mohd Ali Samsudin
Peer Reviewers Md Junayed Hasan; Mohamed Uvaze Ahamed; Saravana Balaji B
  • Funder
  • Multimedia University, Cyberjaya, Malaysia fully supported this research.
LATEST VERSION PUBLISHED 14 Jan 2022
https://doi.org/10.12688/f1000research.73796.1
Research Article metrics
Experimental study and modeling the tensile strength of 3D‐printed aluminium polylactic acid (PLA) parts using artificial neural networks
[version 1; peer review: 1 approved with reservations, 1 not approved]
Chockalingam Palanisamy, Hong Kiat Aaron Tay Hong Kiat
Peer Reviewers Mahros Darsin; John Kechagias
PUBLISHED 15 Dec 2021
https://doi.org/10.12688/f1000research.73163.1
Review metrics
Prediction of PM2.5 concentrations in Malaysia using machine learning techniques: a review
[version 1; peer review: 1 approved, 1 approved with reservations]
Naveen Palanichamy, Su-Cheng Haw, Subramanian S, Kuhaneswaran Govindasamy, Rishanti Murugan
Peer Reviewers Nagender Aneja; D. Devaraj
  • Funder
  • Multimedia University
PUBLISHED 14 Dec 2021
https://doi.org/10.12688/f1000research.72976.2
Research Article metrics
Revised
COVID-19 impact: Customised economic stimulus package recommender system using machine learning techniques
[version 2; peer review: 2 approved, 1 approved with reservations]
Rathimala Kannan, Ivan Zhi Wei Wang, Hway Boon Ong, Kannan Ramakrishnan, Andry Alamsyah
Peer Reviewers Setia Pramana; Shahrinaz Ismail; Sreeja N.K
  • Funder
  • Multimedia University
LATEST VERSION PUBLISHED 12 Nov 2021
https://doi.org/10.12688/f1000research.73009.1
Research Article metrics
An intelligent decision support system for crop yield prediction using hybrid machine learning algorithms
[version 1; peer review: 2 approved, 1 approved with reservations]
Kalaiarasi Sonai Muthu Anbananthen, Sridevi Subbiah, Deisy Chelliah, Prithika Sivakumar, Varsha Somasundaram, Kethaarini Harshana Velshankar, M.K.A.Ahamed Khan
Peer Reviewers Millie Pant; Farrikh Alzami; Durai Raj Vincent
PUBLISHED 11 Nov 2021
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