Items where Author is "Helian, Na"
Number of items: 29.
Article
Burnt-in Text Recognition from Medical Imaging Modalities: Existing Machine Learning Practices. (2024)
Efosa Osagie,
Wei Ji
and
Na Helian
An efficient churn prediction model using gradient boosting machine and metaheuristic optimization. (2023)
Ibrahim AlShourbaji,
Na Helian
and
Yi Sun
Feature weighting in DBSCAN using reverse nearest neighbours. (2023)
Stiphen Chowdhury,
Na Helian
and
Renato Cordeiro de Amorim
Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction. (2022)
Ibrahim Al-Shourbaji,
Na Helian,
Yi Sun,
Samah Alshathri
and
Mohamed Abd Elaziz
Anovel HEOMGA Approach for Class Imbalance Problem in the Application of Customer Churn Prediction. (2021)
Ibrahim AlShourbaji,
Na Helian,
Yi Sun
and
Mohammed Alhameed
Customer Churn Prediction in Telecom Sector: A Survey and way a head. (2021)
Ibrahim AlShourbaji,
Na Helian,
Yi Sun
and
Mohammed Alhameed
Improving the MXFT Scheduling Algorithm for a Cloud Computing Context. (2019)
Paul Moggridge,
Na Helian,
Yi Sun,
Mariana Lilley,
Vito Veneziano
and
Martin Eaves
The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance. (2018)
Ronakben Bhavsar,
Yi Sun,
Na Helian,
Neil Davey,
David Mayor
and
Tony Steffert
Entropy4Cloud: Using Entropy-Based Complexity To Optimize Cloud Service Resource Management Computational Intelligence for Cloud Computing. (2018)
Huikai Chen,
Frank Wang
and
Na Helian
Fractional memristor. (2017)
Frank Zhigang Wang,
Luping Shi,
Huaqiang Wu,
Na Helian
and
Leon O Chua
Delayed switching applied to memristor neural networks. (2012)
Frank Z. Wang,
Na Helian,
Sining Wu,
Xiao Yang,
Yike Guo,
Guan Lim
and
Md Mamunur Rashid
Dynamic and scalable storage management architecture for Grid Oriented Storage devices. (2008)
Yuhui Deng,
Frank Wang,
Na Helian,
Sining Wu
and
Chenhan Liao
EED: Energy Efficient Disk drive architecture. (2008)
Y.H. Deng,
F. Wang
and
Na Helian
Book
Proceedings of Abstracts, School of Physics, Engineering and Computer Science Research Conference 2022. (2022)
Daerefa-a Amafabia,
Laurel Asimea,
John Bally,
Anthony Baran,
Adam Boies,
Amirhossein Borjali,
Chloe Bosomworth,
Ben Burningham,
Napoleana-Anna Chaliasou,
Yong Kang CHEN,
Yuen Ki Cheong,
Mahmoud Chizari,
Etelka Chung,
Kristen Coppin,
Opukuro David-West,
Nik Dennler,
Hom Dhakal,
Nikolay Dimov,
Emil Dmitruk,
Allen Donald,
Damien Drix,
Sergio A. Dzib,
Mahmoud Eltaweel,
Sajid Fadlelseed,
Atena Farahani,
Adrian Felix,
Tim Foat,
Jan Forbrich,
Maximilien Franco,
Joesphine Gaarn,
Tracy Garratt,
Jim Geach,
Narges Ghias,
Adrian Ghita,
Niccolo Giannetti,
Jaime Vargas-Gonzalez,
Richard Greenaway,
George Haritos,
Sara Hatami,
David Haydock,
Na Helian,
Mohammad Reza Herfatmanesh,
Jean-Baptiste Herve,
Evelyn Hesse,
Hossein Korani,
Vahid Hosseini,
Wei Hu,
Thomas Hubbard,
Jameel Inal,
Patrick Irigo,
Sikiru O. Ismail,
Fiona Jepleting,
Wei Ji,
Ian Johnston,
Gbanaibolou Jombo,
Shabnam Kadir,
Christos Kalyvas,
Syed Muhammad Kamran,
Antonios Kanellopoulos,
Aklil Zenebe Kiflay,
Raimund Kirner,
Kerry Knox,
Chiaki Kobayashi,
Dhirendra Kumar,
Ritesh Kumar,
Peter Lane,
Himayasri Lekkala,
Andrew Lewis,
Liang Li,
Qi Luo,
Hossein Madani,
Colin Mallet,
Surya Maruthupandian,
Elizabeth Reeja Mathen,
Pavel Matousek,
Simon McCool,
James C. McGarry,
Catherine Menon,
Christoph Metzner,
Rachael E. H. Miles,
Hadi Moeinnia,
Paul Moggridge,
Mahdi Mohseni,
Diogo Montalvão,
Mohammad Najeeb Moraby,
Darragh Murnane,
Marc Norgate,
Amir Nourani,
Kumar Shantanu Prasad,
Soodamani Ramalingam,
Shavika Rastogi,
Jonathan P. Reid,
Guogang Ren,
Victor M. Rivilla,
Hossein Saidpour,
Kiyoshi Saito,
Seyed Amir Hossein Sajedi,
Christoph Salge,
Samadhi Samararatne,
Michael Schmuker,
Elif Sensoy,
Ajay Shriram,
Harpreet Singh,
Yasser Sorouraddin,
Volker Steuber,
Nicholas Stone,
Yi Sun,
Roopesh Sureddi,
Samuel Sutton,
Peter Thomas,
Andrew R Timms,
P. R. Tiwari,
Athanasios Tsokanos,
Mansukhlal Vadalia,
Muhammad Yaqoob,
Muhamad Yulianto
and
Minghua Zheng
Proceedings of Abstracts Engineering and Computer Science Research Conference 2019. (2019)
Richard Nwawe,
Marzio Grasso,
Yong Kang CHEN,
Jan Klusak,
Vincenzo Rosiello,
Nathan Counsell,
Mohammad Reza Herfatmanesh,
Helen Partou,
Catherine Menon,
Trevor Barker,
Vito Veneziano,
Raimund Kirner,
Olga Tveretina,
Alok Verma,
Peter Lane,
Mariana Lilley,
Paul Canoville,
Matthew Robinson,
Brian Crook,
Samantha Hall,
Richard Kaye,
Ian Johnston,
Daniel McCluskey,
Mark Tracey,
Ian Munro,
Yuan Wang,
Bjorn Suckow,
Ingo Klaholz,
Damien Drix,
Verena Vanessa Hafner,
Michael Schmuker,
Ankur Sinha,
Christoph Metzner,
Neil Davey,
Roderick Adams,
Volker Steuber,
Rebecca Miko,
Gilles Toffe,
Guogang Ren,
Diogo Montalvão,
Sikiru O. Ismail,
James Newman,
Hom Dhakal,
Funlade Sunmola,
Deepak Panday,
Na Helian,
Daerefa-a Amafabia,
Opukuro David-West,
George Haritos,
Pascal Schirmer,
Iosif Mporas,
Grigorios Skaltsas,
Rana Siadati,
Paul Wernick,
Samuel Sutton,
Himayasri Rao Lekkala,
Paul Sayers,
Imran Khan,
Lola Cañamero,
Eheda Hassan,
Mouloud Denai,
Georgios Pissanidis,
Julia Goncharenko,
Maria Schilstra,
Nathan Beka,
Rene te Boekhorst,
Agnes Bonivart,
Chrystopher Nehaniv,
Shabnam Kadir,
Ronakben Bhavsar,
Yi Sun,
David Mayor,
Tony Steffert,
Yong Kang CHEN,
Andreas Chrysanthou,
Ian Johnston,
Raimund Kirner,
Pandelis Kourtessis,
Daniel McCluskey,
Daniel Polani,
Volker Steuber
and
Yichuang Sun
Other
Medical Image Character Recognition Using Attention-Based Siamese Networks for Visually Similar Characters with Low Resolution. (2024)
Efosa Osagie,
Wei Ji
and
Na Helian
On Instance Weighted Clustering Ensembles. (2023)
Paul Moggridge,
Na Helian,
Yi Sun
and
Mariana Lilley
Ensemble Learning for Medical Image Character Recognition based on Enhanced Lenet-5. (2023)
Efosa Osagie,
Wei Ji
and
Na Helian
Bacterial colony counting could be rapid, adaptive and automated. (2022)
Minghua Zheng,
Na Helian,
Peter Lane,
Yi Sun
and
Allen Donald
Dynamic Hierarchical Structure Optimisation for Cloud Computing Job Scheduling. (2022)
Peter Lane,
Na Helian,
Muhammad Haad Bodla,
Minghua Zheng
and
Paul Moggridge
Instance Weighted Clustering: Local Outlier Factor and K-Means. (2020)
Paul Moggridge,
Na Helian,
Yi Sun,
Mariana Lilley
and
Vito Veneziano
Efficient Methods for Calculating Sample Entropy in Time Series Data Analysis. (2018)
Ronakben Bhavsar,
Neil Davey,
Na Helian,
Yi Sun,
Tony Steffert
and
David Mayor
Time Series Analysis using Embedding Dimension on Heart Rate Variability. (2018)
Ronakben Bhavsar,
Neil Davey,
Na Helian,
Yi Sun,
Tony Steffert
and
David Mayor
An Investigation of How Wavelet Transform can Affect the Correlation Performance of Biomedical Signals : The Correlation of EEG and HRV Frequency Bands in the frontal lobe of the brain. (2018)
Ronakben Bhavsar,
Neil Davey,
Yi Sun
and
Na Helian
Revising Max-min for Scheduling in a Cloud Computing Context. (2017)
Paul Moggridge,
Na Helian,
Yi Sun,
Mariana Lilley,
Vito Veneziano
and
Martin Eaves
A Semantic-Agent Framework for PaaS Interoperability. (2017)
Suchismita Hoare,
Na Helian
and
Nathan Baddoo
Complexity Reduction: Local Activity Ranking By Resource Entropy For QoS-aware Cloud Scheduling. (2016)
Huikai Chen,
Frank Zhigang Wang,
Matteo Migliavacca,
Leon O. Chua
and
Na Helian
Memristor-based random access memory: The delayed switching effect could revolutionize memory design. (2016)
Frank Wang,
Leon O. Chua
and
Na Helian
Grid-optimized web 3D applications on wide area network. (2008)
Frank Wang,
Na Helian,
Lingkui Meng,
Sining Wu,
Wen Zhang,
Yike Guo
and
Michael Andrew Parker