Flood Prediction Based On Deep Learning Networks With Variational Mode Decomposition

QR Code

Flood Prediction Based On Deep Learning Networks With Variational Mode Decomposition

Climate change increases the frequency of extreme weather events, causing river overflow floods that threaten human safety and ecosystems. Traditional flood prediction models face challenges due to fluctuations in water levels from topography and rainfall, leading to less accurate forecasts. This th...

Full description

Bibliographic Details
Main Author:	Ni, Chenmin
Format:	Thesis
Language:	English
Published:	2024
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://eprints.usm.my/62405/ http://eprints.usm.my/62405/1/NI%20CHENMIN%20-%20TESIS24.pdf

Similar Items

Clustering Ensemble And Hybrid Of Deep Learning For Spatio-Temporal Crime Predictions
by: Butt, Umair Muneer
Published: (2024)

Hybrid Deep Networks Based On Periodshift Cosine Annealing For Customer Retention Prediction In Telecom Industry
by: Victor, Johnson Olanrewaju
Published: (2024)

Statistical-based SYN-flooding detection using programmable network processor
by: Lim, , BP, et al.
Published: (2005)

Multimodal Sentiment Analysis Of Social Media Through Deep Learning Approach
by: An, Jieyu
Published: (2024)

Related-mode attacks on block cipher modes of operation
by: Phan, , RCW, et al.
Published: (2005)

Taylor-Bird Swarm Optimization-Based Deep Belief Network For Medical Data Classification
by: Mohammed, Alhassan Afnan
Published: (2022)

Communication Efficient Decentralized Collaborative Learning Of Heterogeneous Deep Learning Models Using Distillation And Incentive-Based Techniques
by: Iqbal, Zahid
Published: (2023)

Stock Trend Prediction With Neural Network Techniques
by: Mohd Haris Lye Abdullah,
Published: (2003)

Performance-based variations in dynamic generation of e-learning web-based presentations
by: Khor, Ean-Teng, et al.
Published: (2006)

A prediction-based neural network scheme for lossless data compression
by: Logeswaran, R.
Published: (2002)

A Multi-objective Evolutionary Algorithm Based On Decomposition For Continuous Optimization Using A Step-function Technique
by: Chuah, How Siang
Published: (2022)

Covid-19 Misinformation Classification On Twitter In Malaysia Using A Hybrid Adaptive Neuro-Fuzzy Inferences System (Anfis) And Deep Neural Network (Dnn)
by: Ravichandran, Bhavani Devi
Published: (2023)

Tile-Level Parallelism For H.264/Avc Codec Using Parallel Domain Decomposition Algorithm On Shared Memory Architecture
by: Eessa, Mohammed F.
Published: (2015)

On the security bounds of CMC, EME, EME(+) and EME* - Modes of operation
by: Phan, , RCW, et al.
Published: (2005)

Observing the Evolution of Neural Networks Learning to Play the Game of Othello
by: Chong, S.Y., et al.
Published: (2005)

Protein Secondary Structure Prediction Using Ensemble Neural Networks With Local And Long-range Amino-acid Features
by: Hazzaa Mahyoub, Fawaz Hameed
Published: (2021)

Disaster Relief and Preparedness: Enhancing Supply Chain Management system to support effective flood relief operation.
by: Husain, Wahidah
Published: (2016)

Fuzzy Neural Networks Controller for a Chaotic Nonlinear Gyro Using Sliding-Mode Surfaces
by: Seyed Alireza, Mohseni, et al.
Published: (2008)

Stabilization of sequential learning neural network in sonar target classification via a novel approach
by: Lim, , WS, et al.
Published: (2005)

Effects Of Problem-Solving Strategies On Achievement And Motivation In Learning Chemistry In A Social Network Environment
by: Tan, Hong Looi
Published: (2016)

Rule Learning and Extraction Using a Hybrid Neural Network: A Case Study on Fault Detection and Diagnosis
by: Tan, Shing Chiang, et al.
Published: (2005)

A hybrid entropy decomposition and support vector machine method for agricultural crop type classification
by: Tan, Chue Poh, et al.
Published: (2007)

Enhanced Network Connectivity And Node Lifetime Techniques In Wireless Sensor Networks
by: Al-Saidi, Ali Shanon Aiyal
Published: (2013)

CDS513 – Predictive Business Analytics June 2019
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2019)

CDS513 – Predictive Business Analytics June 2021
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2021)

Design and development of network intrusion detection system detection scheme on network processing unit
by: Robin Salim,, et al.
Published: (2006)

CST234 - Network Programming
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (2019)

A Fusion-Based Framework For Explainable Suicide Attempt Prediction
by: Nordin, Noratikah
Published: (2024)

Comparison Of HSRNAFold and RNAFold Algorithms for RNA Secondary Structure Prediction.
by: M. Mohsen, Abdulqader, et al.
Published: (2009)

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

Predictive call admission control algorithm for power-controlled wireless systems
by: Chin, Choong Ming, et al.
Published: (2006)

Adaptive And Cooperative Harmony Search Models For Rna Secondary Structure Prediction
by: A. Mohsen, Abdulqader Mohammed
Published: (2011)

Adaptive And Cooperative Harmony Search Models For Rna Secondary Structure Prediction
by: A. Mohsen, Abdul Qader Mohammed
Published: (2011)

Enhanced Honey Bees Colony Algorithms For Protein Tertiary Structure Prediction
by: Bahamish, Hesham Awadh Abdallah
Published: (2011)

Adaptive and cooperative harmony search models for RNA secondary structure prediction
by: Mohsen, Abdulqader Mohammed A.
Published: (2011)

Game Theoretic Spatial Evacuation Simulation Models To Predict Crowd Disaster
by: Ibrahim, Azhar Mohd
Published: (2018)

Harmony search algorithms for ab initio protein tertiary structure prediction.
by: Rub, Mohammed Said Saleh Abual
Published: (2011)

Adapting And Enhancing Hybrid Computational Methods For RNA Secondary Structure Prediction
by: Al-Khatib, Ra’ed Mohammad Ali
Published: (2011)

E-Learning as computer games: Designing immersive and experiential learning
by: Siang, , AC, et al.
Published: (2004)

Diagnostic, predictive and compositional modeling with data mining in integrated learning environments
by: LEE, C
Published: (2007)