Damayanthi Herath

According to our database, Damayanthi Herath authored at least 11 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DeepSelectNet: deep neural network based selective sequencing for oxford nanopore sequencing.

Anjana Senanayake, Hasindu Gamaarachchi, Damayanthi Herath, Roshan G. Ragel

BMC Bioinform., December, 2023

Semantic Segmentation using Vision Transformers: A survey.

M. K. Hans Thisanke, L. A. Chamli Deshan, Kavindu Chamith, Sachith Seneviratne, Rajith Vidanaarachchi, Damayanthi Herath

CoRR, 2023

2022

Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications.

Nisal Ranasinghe, A. Ramanan, S. Fernando, Pathima Nusrath Hameed, Damayanthi Herath, Tamasha Malepathirana, Ponnuthurai N. Suganthan, M. Niranjan, Saman K. Halgamuge

CoRR, 2022

miRNAFinder: A comprehensive web resource for plant Pre-microRNA classification.

Sandali Lokuge, Shyaman Jayasundara, Puwasuru Ihalagedara, Indika Kahanda, Damayanthi Herath

Biosyst., 2022

Forecasting Electricity Power Generation of Pawan Danavi Wind Farm, Sri Lanka, Using Gene Expression Programming.

Damayanthi Herath, Jeevani W. Jayasinghe, Upaka Rathnayake

Appl. Comput. Intell. Soft Comput., 2022

2021

Machine learning for plant microRNA prediction: A systematic review.

Shyaman Jayasundara, Sandali Lokuge, Puwasuru Ihalagedara, Damayanthi Herath

CoRR, 2021

Transfer Learning for Accurate and Efficient Tomato Plant Disease Classification Using Leaf Images.

L. A. Chamli Deshan, M. K. Hans Thisanke, Damayanthi Herath

Proceedings of the 16th International Conference on Industrial and Information Systems, 2021

2020

miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact.

Puwasuru Ihalagedara, Sandali Lokuge, Shyaman Jayasundara, Damayanthi Herath, Indika Kahanda

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2020

2019

ENVirT: inference of ecological characteristics of viruses from metagenomic data.

Duleepa Jayasundara, Damayanthi Herath, Damith A. Senanayake, Isaam Saeed, Cheng-Yu Yang, Yuan Sun, Bill C. Chang, Sen-Lin Tang, Saman K. Halgamuge

BMC Bioinform., 2019

2017

CoMet: a workflow using contig coverage and composition for binning a metagenomic sample with high precision.

Damayanthi Herath, Sen-Lin Tang, Kshitij Tandon, David C. Ackland, Saman Kumara Halgamuge

BMC Bioinform., 2017

2014

Accelerating string matching for bio-computing applications on multi-core CPUs.

Damayanthi Herath, C. Lakmali, Roshan G. Ragel

CoRR, 2014