Forecasting the Spread of Viral Diseases in Jordan Using the SARIMA Statistical Model

Shahed Al-khateeb

#Time series model #Jordan #prediction #diseases #forecasting model #sarimax #seasonal autoregressive integrated moving-average with exogenous regressors

Protecting Sensitive Images with Improved 6-D Logistic Chaotic Image Steganography

Mandeep Sandhu,Mohammad Ahmed,Mohammad Hussain,Surender Head,Imran Khan

#Image encryption #logistic chaotic map #steganography #optimization

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

Effective Test Cases Generation with Harmony Search and RBF Neural Network

Hemant Kumar,Vipin Saxena

#Algorithm optimization #automated testing #test cases #hybrid algorithm and software testing efficiency

Using Deep Learning for Profitable Concrete Forecasting Methods

Ayat Al-Hinawi,Radwan Alelaimat

#Concrete performance prediction #machine learning #deep learning #construction management #regression

Canine Disease Prediction using Multi-Directional Intensity Proportional Pattern with Correlated Textural Neural Network

Ayesha Taranum,Jyoti Metan,Prasad Yogegowda,Chandrashekar Krishnappa

#Data optimization #pattern extraction in big data #multi-directional intensity proportional pattern #similarity measure system #correlated textural neural network #test prediction

Efficient Image Encryption via 2D Logistic Chaos Mapping: Strengthening Security with Pixel-Level Dynamics

Yuebo Wu,Shiwei Chu,Huifang Bao,Duansong Wang,Jian Zhou

#Image encryption algorithm #chaotic systems #pixel shifting #pixel scrambling

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

Enhanced Soccer Training Simulation Using Progressive Wasserstein GAN and Termite Life Cycle Optimization in Virtual Reality

Xiang Cheng,Pingping Zhang

#Football #progressive Wasserstein generative adversarial network #soccer training termite life cycle optimization #virtual reality

An Improved Classification Model for English Syntax Error Correction Design of DL Algorithm

Xue Han

#Universities #English #syntax error #classification model #neural network #attention mechanism

A New Facial Expression Recognition Algorithm Based on DWT Feature Extraction and Selection

Fatima Zohra BOUKHOBZA,Abdenour HACINE GHARBI,Khaled ROUABAH

#Facial expression recognition #2D-DWT #person-independent system #feature extraction #wrapper feature selection #dimensionality reduction

RSO based Optimization of Random Forest Classifier for Fault Detection and Classification in Photovoltaic Arrays

Khaled Baradieh,Mohd Zainuri,Mohamed Kamari,Yushaizad Yusof,Huda Abdullah,Mohd Zaman,Mohd Zulkifley

#Classifier #diagnosis #fault classification #fault detection #machine learning #optimization #photovoltaic #pv #random forest

Bibliometric Analysis and Systematic Review of Research on Expert Finding: A PRISMA-guided Approach

Xuan-Lam Pham,Thi Thu Le

#Expert finding #expert finding systems #bibliometric analysis #systematic review #PRISMA methodology

Analyzing Sentiments using Optimized Novel Ensemble Fuzzy and DL based Approach with Efficient Feature Selection and Extraction Models

Potu Bharath,Dasari Venkata Lakshmi

#Sentiment analysis #deep convolutional fuzzy neural network #multilayer stacked bidirectional LSTM neural network inception-ResNet-V2 #enhanced reptile search algorithm #Al-Biruni earth radius optimization algorithm

The Strategy of Discriminating False Comments on the Internet by Fusing Probabilistic Topic and Word Vector Models

Fei Long

#Probabilistic topics #word vectors #online reviews #false detection #CNN

Embedding Search for Quranic Texts based on Large Language Models

Mohammed Alqarni

#Semantic search #quranic texts #large language models #GPT 3

Software Quality Assessment Approach using Analytical Hierarchical Model: Applied in SMEs

Abeer Hamed,Alaa Riad,Ramadan Mowad,Hazem El-Bakry

#Analytical hierarchical process #cost of defects metrics #cost of software quality metrics #reliability metrics #small and medium enterprises #software quality

FD Technology for HSs based on Deep Convolutional Generative Adversarial Networks

Jun Wang,Yuanxi Wang

#CNN #GAN #hydrogen gas #sensors #fault #pattern recognition