Disease Prognosis of Fetal Heart’s Four-Chamber and Blood Vessels in Ultrasound Images Using CNN Incorporated VGG 16 and Enhanced DRNN

Someshwaran Gunasekaran,Sarada Vivekasaran

#Fetal heart disease #ultrasound images #augmented wiener filter #median modified wiener filter #region of interest #convolutional neural network #visual geometry group 16 #deep recurrent neural network

HYAQP: A Hybrid Meta-Heuristic Optimization Model for Air Quality Prediction Using Unsupervised Machine Learning Paradigms

Praveena Vasudevan,Chitra Ekambaram

#Meta-heuristic #unsupervised machine learning #hybrid optimization #optimized k-means #air quality prediction

Medical Image Registration and Fusion Using Principal Component Analysis

Meisen Pan,Jianjun Jiang,Fen Zhang,Qiusheng Rong

#Centroids #image registration #principal component analysis #image fusion

Retina Disorders Classification via OCT Scan: A Comparative Study between Self-Supervised Learning and Transfer Learning

Saeed Shurrab,Yazan Shannak,Rehab Duwairi

#OCT images #retina disorders #self-supervised learning #transfer learning #resnet34

Preventing Collusion Attack in Android

day activities. Therefore, the security of smartpho nes turns to a great concern. Recently, Android as the most popular

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Privacy-Preserving Data Mining in Homogeneous

Department of Communication Electronics and Compute r Engineering, Helwan University, Egypt

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TMP Rajkumar1 and Mrityunjaya Latte2 1Research Scholar, Anjuman Engineering College, Indi a 2Principal, JSS Academy of Technical Education, India

# Image compression # ROI # LSK # fractal image compress ion # MRI images # iterated functions systems

Roiss Alhutaish and Nazlia Omar

# ATC # K-NN # similarity measures # feature selection m ethods

An Anti-Spam Filter Based on One-Class IB Method in Small Training Sets

Abstract:We present an approach to email filtering based on one-class Information Bottleneck (IB) method in small training

#IB method # one-class IB # anti-spam filter # Small training sets

Spread Spectrum based Invertible Watermarking for Medical Images using RNS and Chaos

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Neural Network with Bee Colony Optimization for MRI Brain Cancer Image Classification

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# Clustering # FCM # Modified FCM # k)mean clustering # a ccuracy # memory usage # computation time

Enhancing Anti-phishing by a Robust Multi-Level Authentication Technique (EARMAT)

Abstract: Phishing is a kind of social engineering attack in which experienced persons or entities fool novice users to share

#Phishing # two-factor authentication # web security # google cloud messaging # mobile authentication

Hyperspectral Image Segmentation Based on Enhanced Estimation of Centroid with Fast K-

India

#Fast k-means # fast k-mean (weight) # fast k- means (careful seeding) # and particle swarm clustering algorithm

A New Method for Curvilinear Text line Extraction and Straightening of Arabic Handwritten Text

analysis. This paper presents a new method for curvilinear text line extraction and straightening in Arabic handwritten

#Document image analysis # arabic handwriting # text line extraction # hough transform

Medical Image Segmentation Based on Fuzzy Controlled Level Set and Local Statistical

Mohamed Boudiaf, Algérie

#Segmentation # level sets # medical images # image resolution # fuzzy rules # ROI

Enhanced Android Malware Detection and Family Classification, using Conversation-level Network

Traffic Features

#Information Security # Android Malware # Network Traffic Analysis # Conversation-level Features # and Machine Learning

Self-Organizing Map vs Initial Centroid Selection

Optimization to Enhance K-Means with Genetic

#Clustering # k-means # self-organizing maps # genetic algorithm # speech transcripts # centroid selection

A New Approach for Detecting Eosinophils in the Gastrointestinal Tract and Diagnosing Eosinophilic

Colitis

#Eosinophilic colitis # eosinophils # eosinophilic gastroenteritis # image processing # digital images # neural network # SVM

Supervised Fuzzy C-Means Techniques to Solve the Capacitated Vehicle Routing Problem

Mohamed Shalaby1,2, Ayman Mohammed1, and Sally Kassem1,2 1Smart Engineering Systems Research Center, Nile University, Egypt 2Faculty of computers and Artificial Intelligence, Cairo University, Egypt

#Capacitated vehicle routing problem # supervised fuzzy c-means # fuzzy clustering