Semi-ProtoPNet deep neural network for the classification of defective power grid distribution structures
Power distribution grids are typically installed outdoors and are exposed to environmental
conditions. When contamination accumulates in the structures of the network, there may be …
conditions. When contamination accumulates in the structures of the network, there may be …
Water level prediction using soft computing techniques: A case study in the Malwathu Oya, Sri Lanka
Hydrologic models to simulate river flows are computationally costly. In addition to the
precipitation and other meteorological time series, catchment characteristics, including soil …
precipitation and other meteorological time series, catchment characteristics, including soil …
Projected Water Levels and Identified Future Floods: A Comparative Analysis for Mahaweli River, Sri Lanka
The Rainfall-Runoff (RR) relationship is essential to the hydrological cycle. Sophisticated
hydrological models can accurately investigate RR relationships; however, they require …
hydrological models can accurately investigate RR relationships; however, they require …
An intelligent framework for estimating grade and quantity of tropical fruits in a multi-modal latent representation network
M Sharafudeen, VC SS - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
This research addresses the crucial aspects of ensuring the quality and origin of fruits in the
supply chain, as well as estimating their quantity measures. A novel interwoven deep neural …
supply chain, as well as estimating their quantity measures. A novel interwoven deep neural …
Understanding the black-box: towards interpretable and reliable deep learning models
Deep learning (DL) has revolutionized the field of artificial intelligence by providing
sophisticated models across a diverse range of applications, from image and speech …
sophisticated models across a diverse range of applications, from image and speech …
An edge computing-based factor-aware novel framework for early detection and classification of melanoma disease through a customized VGG16 architecture with …
MF Almufareh - IEEE Access, 2024 - ieeexplore.ieee.org
Melanoma is dangerous skin cancer disease with high malignancy potential, necessitates
advanced detection methods for improved patient outcomes. This study proposes a novel …
advanced detection methods for improved patient outcomes. This study proposes a novel …
Age classification of rice seeds in japan using gradient-boosting and anfis algorithms
The rapidly changing climate affects an extensive spectrum of human-centered
environments. The food industry is one of the affected industries due to rapid climate …
environments. The food industry is one of the affected industries due to rapid climate …
Dry Fruit Classification Using Deep Convolutional Neural Network Trained with Transfer Learning
Dry fruits are an important part of daily life and are most consumable in all parts of the Indian
continent. It is difficult to identify the quality of dry fruit with the naked eye. Industrialists or …
continent. It is difficult to identify the quality of dry fruit with the naked eye. Industrialists or …
Classification and identification of agricultural products based on improved MobileNetV2
H Chen, G Zhou, W He, X Duan, H Jiang - Scientific Reports, 2024 - nature.com
With the advancement of technology, the demand for increased production efficiency has
gradually risen, leading to the emergence of new trends in agricultural automation and …
gradually risen, leading to the emergence of new trends in agricultural automation and …
[HTML][HTML] XAI-FruitNet: An explainable deep model for accurate fruit classification
In agricultural technology, precise fruit classification is essential yet challenging due to
inherent interclass similarities and intra-class variabilities among fruit species. Despite their …
inherent interclass similarities and intra-class variabilities among fruit species. Despite their …