Search Results - (( loading classification system algorithm ) OR ( pattern estimation learning algorithm ))
Search alternatives:
- loading classification »
- classification system »
- estimation learning »
- pattern estimation »
- learning algorithm »
- system algorithm »
-
1
Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor / Muhammad Nasrul Hakim Adenan
Published 2013“…The ANN makes the model learn the pattern by the sample of inputs and outputs to estimate results or to get more accurate data. …”
Get full text
Get full text
Thesis -
2
Neural network algorithm development for Ion Sensitive Field Effect Transistor (ISFET) sensor: article / Muhammad Nasrul Hakim Adenan and Maizatul Zolkapli
Published 2013“…The ANN makes the model learn the pattern by the sample of inputs and outputs to estimate results or to get more accurate data. …”
Get full text
Get full text
Article -
3
Intuitive content management system via manipulation and duplication with if-else rules classification
Published 2018“…As a result, ICMS can transform dynamic websites into static websites with faster load speed using manipulation method mixed with data mining classification prediction and Boyer-Moore Horspool algorithm which can be classified, edited, adjustable and searched more precisely. …”
Get full text
Get full text
Thesis -
4
Advanced flood prediction at forest with rainfall data using various machine learning algorithms
Published 2024Get full text
Get full text
Conference or Workshop Item -
5
Review of Plug-Based Load Energy Management Systems (PLEMS) for energy and comfort management of buildings
Published 2016“…This paper reviews the goals of PLEMS, along with related definitions, classification of PLEMS equipments and PLEMS control systems. …”
Get full text
Get full text
Conference or Workshop Item -
6
-
7
Dynamic load balancing policy in grid computing with multi-agent system integration
Published 2011“…The unique capabilities offered by multi-agent systems can be integrated or combined with the structure of dynamic load balancing to produce a better strategy to produce a better dynamic load balancing algorithm with multi-agent systems.…”
Get full text
Get full text
Conference or Workshop Item -
8
Power system security assessment using artificial neural network: article / Mohd Fathi Zakaria
Published 2010“…Extensive testing and training of the proposed ANN based apprnach indicates its viability for power system steady state stability classification assessment.…”
Get full text
Get full text
Article -
9
Development of Phasor Measurement Unit Based Fault Detection and Faulty Line Classification in Electrical Power System
Published 2019“…This study first focuses on modifying the PMU model for standard test systems in a MATLAB Simulink environment. This model implements Non-Recursive Phasor Estimation (NRPE) algorithm. …”
Get full text
Get full text
Thesis -
10
Dynamic load balancing policy with communication and computation elements in grid computing with multi-agent system integration
Published 2011“…The unique capabilities offered by multi-agent systems can be integrated or combined with the structure of dynamic load balancing to produce a better strategy and better load balancing algorithm. …”
Get full text
Get full text
Get full text
Article -
11
Decoding of visual activity patterns from fMRI responses using multivariate pattern analyses and convolutional neural network
Published 2017“…MVPA-CNN based proposed algorithm is compared with region of interest (ROI) based method and MVPA based estimated values. …”
Get full text
Get full text
Article -
12
Assessment of cognitive load using multimedia learning and resting states with deep learning perspective
Published 2019“…The results shows that alpha brain wave produced consistent behavior using for all cognition tasks based on pre-trained CNN models for classification and cognitive load assessment. © 2018 IEEE…”
Get full text
Get full text
Conference or Workshop Item -
13
Apply and optimize machine learning algorithms for estimating battery health
Published 2025Get full text
Get full text
Final Year Project / Dissertation / Thesis -
14
An optimal under frequency load shedding scheme for islanded distribution network / Amalina Izzati Md Isa
Published 2018“…Two new algorithms i.e., Load Classification based Fuzzy Logic (LCFL) and Binary Evolutionary Programming (BEP) are introduced in the module. …”
Get full text
Get full text
Thesis -
15
-
16
Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy
Published 2023Subjects:Article -
17
Distributed Online Averaged One Dependence Estimator (DOAODE) Algorithm for Multi-class Classification of Network Anomaly Detection System
Published 2019“…In addition, when handling network traffic, the data in network is fast incoming and requires an online learning where immediately response and predict the pattern of network traffic for classification once there is an event or request occur. …”
Get full text
Get full text
Conference or Workshop Item -
18
Distributed Online Averaged One Dependence Estimator (DOAODE) Algorithm for Multi-class Classification of Network Anomaly Detection System
Published 2019“…In addition, when handling network traffic, the data in network is fast incoming and requires an online learning where immediately response and predict the pattern of network traffic for classification once there is an event or request occur. …”
Get full text
Get full text
Conference or Workshop Item -
19
Load balancing and server consolidation in cloud computing environments: a meta-study
Published 2019“…This meta-study, reviews the literature on load balancing and server consolidation and presents a ready reference taxonomy on the most efficient algorithms that achieve load balancing and server consolidation. …”
Get full text
Get full text
Get full text
Article -
20
Development of electromyography-controlled 3D printed robot hand and supervised machine learning for signal classification
Published 2019“…The current study of the hand posture classification requires a higher number of EMG sensor used to achieve an accurate classification performance that leads the system to be complicated. …”
Get full text
Get full text
Thesis
