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

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

Determining PolyCystic Ovarian Syndrome Severity from Reddit Posts using Topic Modelling and Association Rule Mining

Santhi Selvaraj,Selva Nidhyananthan Sundaradhas

#Association rule mining #bag of words #frequent symptoms set #PCOS #topic modelling

Analysis of QA System Behavior against Context and Question Changes

Rachid Karra,Abdelali Lasfar

#Adversarial attacks #BERT #data quality #question answering #simplification

Turning Point Induced Knowledge Forecasting under Uncertainties (TrIK)

Jagtap Vinyak,Kulkarni Parag,Joshi Pallavi

#Time series forecasting #shoulder area #turning point #knowledge discovery #surprise #uncertainty

FD Technology for HSs based on Deep Convolutional Generative Adversarial Networks

Jun Wang,Yuanxi Wang

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

Analysis of QA System Behavior against Context and Question Changes

Rachid Karra,Abdelali Lasfar

#Adversarial attacks #BERT #data quality #question answering #simplification

Turning Point Induced Knowledge Forecasting under Uncertainties (TrIK)

Jagtap Vinyak,Kulkarni Parag,Joshi Pallavi

#Time series forecasting #shoulder area #turning point #knowledge discovery #surprise #uncertainty

FD Technology for HSs based on Deep Convolutional Generative Adversarial Networks

Jun Wang,Yuanxi Wang

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

The Coupling of a Multiplicative Group and the Theory of Chaos in the Encryptions of Images

Fouzia Elazzaby,Nabil Elakkad,Khalid Sabour

#Image encryption #multiplicative group #map 2D-SLMM #security

Pattern Recognition Using the Concept of Disjoint Matrix of MIMO System

Mezbahul Islam,Rahmina Rubaiat,Imdadul Islam,Mostafizur Rahaman,Mohamed Ruhul Amin

#Uncoupled MIMO links #eigenvalues #unitary matrix #noise and channel matrix

An Effective Reference-Point-Set (RPS) Based Bi-Directional Frequent Itemset Generation

Ambily Balaram,Nedunchezhian Raju

#Reference point #reference-point-set #transactional buckets #sparse region #dense region

Design and Study of Zombie Enterprise Classification and Recognition Systems Based on Ensemble Learning

Shutong Pang,Ziwei Yang,Chengyou Cai,Zhimin Li

#Integrated learning #corporate portrait #classification and identification #strong supervision model

Multi-Level Attack with Dynamic S-Box Variable Key Pattern Generation for Key Cohort Using AES

Anusha Padmavathi Rajendran,Dhanalakshmi Krishnan Sadhasivam

#Advanced encryption standard #S box #variable key generation #encryption #decryption

Linking Palliative Homecare to the Universal Health Coverage Principles and the United Nations Sustainability Development Goals Using the i* Framework’s Strategic and Social Requirements Modelling, Applied to a Cancer Care Organisation

Yousra Odeh,Dina Tbaishat,Faten F. Kharbat,Omar Shamieh,Mohammed Odeh

#Universal health coverage #UNSDGs #i* framework #home health care #palliative care #goal-oriented modelling #social requirements modelling #cancer care process modelling #cancer care informatics #cancer care sociotechnical systems

Machine Learning Models for Statistical Analysis

Marko Grebovic,Luka Filipovic,Ivana Katnic,Milica Vukotic,Tomo Popovic

#Machine learning #artificial neural networks #statistical models #accuracy measures

An Adaptive Traffic Lights System using Machine Learning

Mohammad Ashraf Ottom,Ahmad Al-Omari

#Traffic time management #image processing and objects detection #vehicles dataset

Adapted Normalized Graph Cut Segmentation with

Singaravelu Prabhu1 and Dharmaraj Tensing2 1Department of Computer Science and Engineering, Kal aivani College of Technology, India 2 School of Civil Engineering, Karunya University, India

#

Developing a Novel Approach for Content Based

#

A Qualitative Approach to the Identification, Visualisation and Interpretation of Repetitive

1

#MPO # QTC # similarity analysis # repetitive motion pa tterns # continuous triangular model