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Article
Transfer learning-based quantized deep learning models for nail melanoma classification
Skin cancer, particularly melanoma, has remained a severe issue for many years due to its increasing incidences. The rising mortality rate associated with melanoma demands immediate attention at early stages t...
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Article
View-aware attribute-guided network for vehicle re-identification
Vehicle re-identification is one of the essential application of urban surveillance. Due to enormous variation in inter-class and intra-class resemblance creates a challenge for methods to distinguish between ...
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Article
Reinforcement learning based on routing with infrastructure nodes for data dissemination in vehicular networks (RRIN)
Vehicular-Ad hoc Networks are extremely important due to the potential for improving road safety, traffic monitoring, and in-vehicle infotainment services. A novel Q-learning-based routing protocol named Reinf...
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Article
Multi-scale Single Image Super-Resolution with Remote-Sensing Application Using Transferred Wide Residual Network
Super-resolution (SR) has received extensive attention in recent years for satellite image processing in a wide range of application scenarios, such as land classification, identification of changes, the disco...
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Chapter and Conference Paper
Data Augmentation for Graph Convolutional Network on Semi-supervised Classification
Data augmentation aims to generate new and synthetic features from the original data, which can identify a better representation of data and improve the performance and generalizability of downstream tasks. Ho...
