Threat analysis using artificial neural network

QR Code

Threat analysis using artificial neural network

The purpose of this study is to explore the use of an Artificial Neural Network threat analysis tools for analyzing threats in healthcare system. The research method used a feed forward neural network which consisted of 50 input variables and one output. The datasets used in neural network are provi...

Full description

Bibliographic Details
Main Author:	Yee, Chan Pheng
Format:	Thesis
Language:	English
Published:	2009
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/10076/ http://eprints.utm.my/10076/1/YeeChanPengMFSKSM2009.pdf

Similar Items

Sales Prediction Using Artificial Neural Network
by: Ilham Ariff, Mohammad Fadzli
Published: (2023)

Forecasting of Salmonellosis Incidence in Human using Artificial Neural Network
by: Adhistya Erna, Permanasari, et al.
Published: (2010)

Web Phishing Classification Model using Artificial Neural Network and Deep Learning Neural Network
by: Noor Hazirah, Hassan, et al.
Published: (2023)

Supervised identification of Acinetobacter Baumanni strains using artificial neural network
by: Mohd Tamrin, Mohd Izzuddin, et al.
Published: (2019)

Application of Artificial Neural Network in Detection of Probing Attacks
by: Ahmad, iftikhar, et al.
Published: (2009)

Application of Artificial Neural Network in Detection of Probing Attacks
by: I., Ahmad, et al.
Published: (2010)

Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network
by: Ahmed, Abdulghani Ali
Published: (2019)

Daily wind speed prediction in Kota Bharu using artificial neural network
by: Salam, Suhanawati
Published: (2007)

Artificial Neural Network Approaches to Intrusion Detection: A Review
by: Ahmad, iftikhar, et al.
Published: (2009)

Artificial Neural Network Approaches to Intrusion Detection: A Review
Published: (2009)

Artificial Neural Network Approaches to Intrusion Detection: A Review
by: Ahmad, Iftikhar
Published: (2009)

Artificial Neural Network Approaches to Intrusion Detection: A Review
by: I., Ahmad, et al.
Published: (2010)

Mobile Application for Classifying Palm Oil Bunch using RGB and Artificial Neural Network
by: Sayyidatina Al Hurul Aina, Alzahati, et al.
Published: (2016)

Heavy Rainfall Forecasting Model Using Artificial Neural Network for Flood Prone Area
by: Junaida, Sulaiman, et al.
Published: (2018)

Prediction of Vehicle Fuel Consumption Model Based on Artificial Neural Network
by: Noraziah, Ahmad, et al.
Published: (2014)

Artificial neural network-salp-swarm algorithm for stock price prediction
by: Zuriani, Mustaffa, et al.
Published: (2024)

Predicting the stress level of students using supervised machine learning and artificial neural network (ANN)
by: Arya, Suraj, et al.
Published: (2024)

Study of intelligence peer selection in enhancing p2p using artificial neural network
by: Cham, Hui
Published: (2014)

Damageless digital watermarking using complex-valued artificial neural network
by: Olanweraju, Rashidah Funke, et al.
Published: (2010)

Detection of arcing fault in underground distribution cable using artificial neural network
by: Chan, Wei Kian
Published: (2004)

Security monitoring tool system using threat intelligence vs threat hunting
by: Wan Ikbal Ismat Wan Kamal,
Published: (2021)

Network Intrusion Detection Framework Based on Whale Swarm Algorithm and Artificial Neural Network in Cloud Computing
by: Fahad, Ahmed Mohammed, et al.
Published: (2019)

A Conceptual Model Using The Elliptic Curve Diffie–Hellman With An Artificial Neural Network Over Cloud Computing
by: Jaber, Aws Naser, et al.
Published: (2016)

CSC513 – ARTIFICIAL NEURAL NETWORKS - OKT. 2000
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2000)

Two-Step Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array
by: Syahrulanuar, Ngah, et al.
Published: (2014)

Hybrid honey badger algorithm with artificial neural network (HBA-ANN) for website phishing detection
by: Muhammad Arif, Mohamad, et al.
Published: (2024)

Two-Steps Implementation of Sigmoid Function for Artificial Neural Network in Field Programmable Gate Array
by: Syahrulanuar, Ngah, et al.
Published: (2016)

CCS501 – NEURAL NETWORKS AND GENETIC ALGORITHMS CSC513 – ARTIFICIAL NEURAL NETWORKS - SEPT. 2001
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2001)

Static hand gesture recognition using artificial neural network / Haitham Sabah Hasan
by: Hasan, Haitham Sabah
Published: (2014)

Travel route advisor with artificial neural network (TRAANN) / Aznuf Hafeez Kaswuri
by: Aznuf Hafeez , Kaswuri
Published: (2003)

Artificial neural network modeling for predicting thermal conductivity of EG/water-based CNC nanofluid for engine cooling using different activation functions
by: Hasan, Md. Munirul, et al.
Published: (2024)

A novel swarm-based optimisation algorithm inspired by artificial neural glial network for autonomous robots
by: Ismail, Amelia Ritahani, et al.
Published: (2019)

Artificial neural network implementation on firearm recognition system with respect to ring firing pin impression image
by: Ahmad Kamaruddin, Saadi, et al.
Published: (2011)

A systematic review and meta-analysis of artificial neural network application in geotechnical engineering: theory and applications
by: Moayedi, Hossein, et al.
Published: (2020)

Personality predictive analysis based on artificial neural network
by: Zuriani, Mustaffa, et al.
Published: (2022)

Predictions of isolate and normal pentene of debutanizer catalytic reforming unit by using artificial neural network
by: S., Sulaiman, et al.
Published: (2008)

Forecasting time series data using hybrid grey relational artificial neural network and auto regressive integrated moving average model
by: Salleh, Roselina, et al.
Published: (2007)

Identification and predictive control of spray tower system using artificial neural network and differential evolution algorithm
by: Danzomo, Bashir A., et al.
Published: (2015)

Face recognition using eigenfaces and neural networks
by: Saad, Puteh, et al.
Published: (2006)

Offline handwriting recognition using Artificial Neural Network and Hidden Markov Model
by: Tay, Yong Haur
Published: (2002)