- 5G Communication/Signal Processing (5)
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- GAN (2)
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Objective To design an efficient algorithm for detection of anomaly in 5G network and perform efficient forecast model. Abstract Accurate and autonomous traffic forecasting is essential for many traffic ma..
A Novel Multipurpose Watermarking Scheme Capable of Protecting and Authenticating Images with Tamper Detection and Localisation Abilities
Abstract: In this paper, a digital watermarking method is proposed which is based on Contourlet wavelet transform (CT) and Singular Value Decomposition (SVD). In the encryption process, the host image is decomposed into sub-bands using single level of Contourlet wavelet transform and..
AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization Systems
Technology: DEEP LEARNING / GAN ..
Cardiac-DeepIED: Automatic Pixel-Level Deep Segmentation for Cardiac Bi-Ventricle Using Improved End-to-End Encoder-Decoder Network
Abstract: Accurate segmentation of cardiac bi-ventricle (CBV) from magnetic resonance (MR) images has a great signiﬁcance to analyze and evaluate the function of the cardiovascular system. However, the majority of cardiac MR images show that the similar intensity distribu..
Domain: Machine Learning ..
Cost-Effective Vehicle Type Recognition in Surveillance Images with Deep Active Learning and Web Data
Abstract: With the rapid development of Intelligent Transportation System (ITS) technologies in recent years, vehicle type recognition (VTR) has been widely applied as a low-cost technology in tolls, transportation statistics, security and crime prevention issues. The early techniques for VTR mainl..
Abstract: Video classiﬁcation has been extensively researched in computer vision due to its wide spread use in many important applications such as human action recognition and dynamic scene classiﬁcation. It is highly desired to have an end-to-end learning framework that can establish effective video r..
Deep Learning and Handcrafted Method Fusion: Higher Diagnostic Accuracy for Melanoma Dermoscopy Images
Abstract: Dermoscopy is an important tool in the early detection of melanoma, increasing the diagnostic accuracy over clinical visual inspection in the hands of experienced physicians. A pigment network whose structure varies in size and shape is called an irregular or a typical pigment network (AP..
Technology: Deep Learning Tool: MATLAB R2018aObjective..
Abstract Large volumes of images are being exponentially generated today from various kinds of imaging devices (smart phones, medical imaging equipment, digital cameras, etc.). Such tremendous growth is further greatly accelerated along with the fast development and wide deployment of diverse In..
Aim: To address the challenges associated with detecting apple plant leaf diseases using deep learning based models.Synopsis: Plant diseases pose a significant threat to the global agriculture, leading to substantial c..
Dynamic Atlas-Based Segmentation and Quantification of Neuromelanin-Rich Brainstem Structures in Parkinson Disease
Abstract: Parkinson’s disease (PD) is a neurodegenerative disease histo-pathologically characterized by neuronal loss, Lewy bodies, and depigmentation of two paired neuromelanin (NM) rich brainstem structures: the substantial nigra pars compacta (SNc) and the locus coeruleus (LC). In spite of th..
Alternative title: Social and Emotional Context analysis using Gradient Boosted SAM algorithm  ..
Abstract While the concept of ultra-dense small cell networks (SCNs) has brought a number of significant opportunities for the telecommunication industry, it has also introduced a major challenge for researchers, who must develop techniques to reduce the sharp increase in power consumption that wi..