Face age synthesis is the determination of how a person looks in the future or the past by
reconstructing their facial image. Determining the change in the human face over the years …

Face Age Progression (FAP) refers to synthesizing face images while simulating ageing
effects, thus enabling predicting the future appearance of an individual. The generation of …

Face age progression, goals to alter the individual's face from a given face image to predict
the future appearance of that image. In today's world that demands more security and a …

Automatic segmentation of crack regions is the major and complex task in an intelligent
transportation system. In this proposed work, we have developed a Semantic Segmentation …

Face aging is one of the most interesting style transfer ideas due to the extraordinary
development in image synthesis succeeded by deep learning models that is the generative …

In computer vision application, the style transfer is a most active area, where deep
generative networks have been used to achieve desired results. The development of …

Inspired by the transition of style from Gatys and Goodfellow and the generative adversarial
network (GAN), the use of conditional GAN (cGAN) is to achieve human age progression …

The existing approaches achieved remarkable performance in many computer vision
applications like moving object segmentation (MOS), classification, etc. However, in …

Clutter rejection is a key technique for high-frequency passive radar (HFPR). To solve this
problem, the traditional signal processing methods have been used, which mainly depend …

Breast Cancer is the most prevalent cancer among women across the globe. Objective of the
Computer Aided Diagnosis (CAD) in breast cancer analysis is to detect the tumorous mass …