Browsing by Subject Deep learning
Showing results 1 to 10 of 10
| Issue Date | Title | Author(s) |
| 2025 | Aedes Mosquito Larvae Classification Using Swin Transformers | Upasena, G.; Suthakar, S.; Kokul, T.; Surendran, S.N. |
| 2025 | Automated detection of tower insulator and transmission cable damage using deep learning with quadcopter integration | Samaraweera, K.M.S.K.; Udayanga, S.G.N.; Chamudika, A.K.S.; Canistus, G.A.; Mauran, M. |
| 2020 | Comparing similarity between the title and the content of news articles using deep learning | Jayasundara, M.H.E.U.; Yasotha, R. |
| 2021 | Electricity Load/demand Forecasting in Sri Lanka using Deep Learning Techniques | Abeysingha, A.A.K.U.; Sritharan, A.S.; Valluvan, R.; Ahilan, K.; Jayasinghe, D.H.G.A.E. |
| 2020 | Fetal Head Detection in 2D Ultrasound Images using Deep Learning | Ketheesan, T.; Janani, T. |
| 2026 | SLIF-Tomato: Inverted Residual Convolutional Block Attention Module for In- field Tomato Leaf Disease Recognition | Romiyal, G.; Thuseethan, S.; Ragel, R.G.; Pakeerathan, K.; Vaithehi, S.; Mithuran, T. |
| 2023 | A Survey of Loss Functions for SegNet for Mosquito Breeding Site Detection | Mylvaganam, P.; Dissanayake, M.B.; Niranjan, M. |
| 2022 | Traffic Occupancy Prediction Using a Nonlinear Autoregressive Exogenous Neural Network | Khaleel, N.I.; Anuraj, U.; Hartley, J. |
| 2023 | Transformers in Single Object Tracking: An Experimental Survey | Kugarajeevan, J.; Kokul, T.; Ramanan, A.; Fernando, S. |
| 2025 | Validation of a novel artificial intelligence-based tool for Ki-67 quantification in breast cancer: enhanced accuracy, reproducibility, and efficiency in resource-limited setting | Nellihela, A.P.; Rathnayake, R.M.N.D.; Asanthi, N.J.; Bandaranayake, V.C.; Ramanan, A.; Kokul, T.; Senarathna, M. |
