Titlebook: Evolution in Signal Processing and Telecommunication Networks; Proceedings of Sixth P. Satish Rama Chowdary,Jaume Anguera,Vikrant Bhat Conf

Arctic

Estimation of Gender Using Convolutional Neural Network,or the non-beard and moustache images, gender prediction is always a challenging task. One of the approaches that is helpful in this case is the prediction by convolutional neural networks. At first 1173 male and 1134 female images are used in the training set. 80% of the training set images are use

KEGEL

Human Abnormal Activity Detection in the ATM Surveillance Video,M machine installation increases the criminal activities such as attacks on customer, snatching of customer money also increased which affects the bank customer’s security. Detecting and localizing the human anomalous activities inside the ATM room ARE the most challenging area which received much r

mutineer

Moving Object Detection Using Optical Flow and HSV,n moving object share similar colour with the background. In this paper, combination of two methods is done to detect moving object. An optical flow method along with Hue Saturation and Value colour space is proposed to detect camouflage moving object. The algorithm is tested on various standard dat

圓錐

POWER

farewell

Optical Letter Recognition for Roman-Text,cognition is a scanned image which is converted into editable text. In this process, the image pictures are encoded with the help of Unicode. OCR system helps to add a volume or a journal product directly into an electronic PC document and alter the record utilizing a word processor. After removing

不自然

Visual Words based Static Indian Sign Language Alphabet Recognition using KAZE Descriptors,fferently abled population with the general public. Sign language (SL) recognition can narrow down the communication gap that occur due to the lack of knowledge of sign language. This paper proposes a static sign language alphabet recognition based on KAZE descriptors and the bag of visual words (Bo

Tinea-Capitis

Intensified Gray Wolf Optimization-based Extreme Learning Machine for Sentiment Analysis in Big Dat for doing research on domain adaptation, sentiment analysis, and natural language processing as separate areas of study. While a classifier learned from one domain may perform poorly on data from another domain, it is important to keep an open mind while exploring other classifiers. Reviews of data

不整齊

,Wideband Substrate Integrated Waveguide?Based Dual-Polarized Antenna for Satellite Applications in nd. In this proposed work, dual polarization is excited by two orthogonal microstrip lines with enhanced isolation. In this work, three concentrated connected rings are placed in a circular slot of a circular SIWG cavity mimicking a?split-ring resonator. The inductive coupling between the middle and

暗語(yǔ)

Detection of COVID-19 and Classification of Pneumonia Using Deep Neural Networks Algorithms,thand of test kits available to diagnose the COVID-19 disease. The tests available to diagnose the COVID-19 are RT-PCR (real-time polymerase chain reaction), Rapid Antigen test and Antibody test. But in these, only RT-PCR has the high accuracy, and it is a time-taking process. It takes nearly from 4