Search Results - (( data reduction methods algorithm ) OR ( variable operations using algorithm ))
Search alternatives:
- variable operations »
- reduction methods »
- methods algorithm »
- operations using »
- using algorithm »
- data reduction »
-
1
Algorithm optimization and low cost bit-serial architecture design for integer-pixel and sub-pixel motion estimation in H.264/AVC / Mohammad Reza Hosseiny Fatemi
Published 2012“…For the hardware architecture design, we choose bit-serial structure for implementing our algorithm to benefit from its advantages. Moreover, we use SAD truncation, reusability, source sharing, and power saving techniques in our architecture, which lead to area saving and power consumption reduction. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Thesis -
2
A peer-to-peer blockchain based interconnected power system
Published 2021“…So, the best practice method should be used to resolve the harmonics issue. …”
Get full text
Get full text
Get full text
Article -
3
Feature and Instances Selection for Nearest Neighbor Classification via Cooperative PSO
Published 2014“…The reduction method contains two techniques, namely features reduction and data reduction which are commonly applied to a classification problem. …”
Get full text
Get full text
Conference or Workshop Item -
4
Oil palm female inflorescences anthesis stages identification using selected emissivities through thermal imaging and Machine Learning
Published 2022“…This research studies different Machine Learning (ML) classification and ensemble techniques for the assessment of the four pollination stages consist of pre-anthesis I, pre-anthesis II, pre-anthesis III, and anthesis using thermal imaging. Different ML algorithms such as Random Forest (RF), k Nearest Neighbor (kNN), Support Vector Machine (SVM), Artificial Neural Network (ANN) as well as an ensemble method are used on data extracted from thermal images collected during infield oil palms pollination stages monitoring. …”
Get full text
Get full text
Get full text
Thesis -
5
-
6
Real-time time series error-based data reduction for internet-of-things applications
Published 2018“…There are many time series data reduction methods, ranging from primitive data aggregation such as Rate of Change to sophisticated compression algorithms. …”
Get full text
Get full text
Final Year Project / Dissertation / Thesis -
7
An Alternative Algorithm for Soft Set Parameter Selection using Special Order
Published 2015“…This paper proposed a parameter reduction algorithm, known as 3C algorithm, to circumvent the false frequent object in reduction. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
8
-
9
Numerical Integration And Data Reduction For Application In Photometry
Published 2003“…In this thesis, an algorithm based on a local interpolation scheme called the Average Angle Method was developed for numerical integration and data reduction of photometric data, and in general, for any data set sharing similar characteristics as the luminous intensity data The new interpolation scheme interpolates discrete data with piecewise cubic polynomials having a CI continuity in the interior. knots. …”
Get full text
Get full text
Thesis -
10
Variable Global Optimization min-sum (VGOMS) algorithm of decode-and forward-protocol for the relay node in the cooperative channel
Published 2020“…The proposed VGOMS algorithm apply the optimization scaling factor at the bit node processing of the variable node operation which have significantly less complexity as compared with the check node operation or both variable node and check node operation. …”
Get full text
Get full text
Get full text
Article -
11
Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…In this work a feeder reconfiguration algorithm is presented for the purpose of power loss reduction in distribution networks. …”
Get full text
Get full text
Thesis -
12
Variable Global Optimization min-sum (VGOMS) algorithm of decodeand-forward protocol for the relay node in the cooperative channel
Published 2019“…The proposed VGOMS algorithm apply the optimization scaling factor at the bit node processing of the variable node operation which have significantly less complexity as compared with the check node operation or both variable node and check node operation. …”
Get full text
Get full text
Get full text
Article -
13
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Then canonical Polyadic decomposition-based attribute reduction is applied to the offload-able task to reduce the data size. …”
Get full text
Get full text
Article -
14
Classification of basal stem rot disease in oil palm using dielectric spectroscopy
Published 2018“…An analysis was done to see the effect of implementing different data reduction algorithms in classifying BSR disease. …”
Get full text
Get full text
Thesis -
15
An Improve k-NN Classifier using Similarity Distance Plot-Data Reduction and Dask for Big Datasets
Published 2025“…To accommodate big-scale data, the method integrates a parallel computing framework, Dask, during both the reduction and classification processes. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Thesis -
16
HDRA: A Haybird Data Reduction and Routing Algorithm
Published 2024“…Consequently, this study introduces a Hybrid Data Reduction and Routing Algorithm (HDRA). The principal aim of HDRA is to prolong the lifespan of clusterbased WSNs. …”
Get full text
Get full text
Get full text
Article -
17
-
18
HDRA: A Haybird Data Reduction and Routing Algorithm
Published 2024“…Consequently, this study introduces a Hybrid Data Reduction and Routing Algorithm (HDRA). The principal aim of HDRA is to prolong the lifespan of clusterbased WSNs. …”
Get full text
Get full text
Get full text
Article -
19
Document classification based on kNN algorithm by term vector space reduction
Published 2023Conference Paper -
20
New Learning Models for Generating Classification Rules Based on Rough Set Approach
Published 2000“…Two different models for learning in data sets were proposed based on two different reduction algorithms. …”
Get full text
Get full text
Thesis
