Search Results - (( java application tree algorithm ) OR ( data realization based algorithm ))
Search alternatives:
- realization based »
- java application »
- application tree »
- data realization »
- tree algorithm »
-
1
-
2
Relationship based replication algorithm for data grid
Published 2014“…The Relationship based Replication algorithm aims to improve the Data Grid performance by reducing the job execution time, bandwidth and storage usage.The RBR was realized using a network simulation (OptorSim) and experiment results revealed that it offers better performance than existing replication algorithms.…”
Get full text
Get full text
Monograph -
3
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
Get full text
Get full text
Get full text
Article -
4
-
5
Enhanced Model Compression for Lipreading Recognition based on Knowledge Distillation Algorithm
Published 2025“…However, Chinese language features are rich and fuzzy, and the training optimization of lip-reading model requires high GPU computation and storage, so it is difficult to realize large-scale application. Therefore, three knowledge distillation compression algorithms are proposed in this paper: Three different knowledge distillation compression algorithms, an offline model compression algorithm based on multi-feature transfer (MTOF), an online model compression algorithm based on adversarial learning (ALON), and an online model compression algorithm based on consistent regularization(CRON) to complete the compression of the Chinese character sequence output by the model. …”
Get full text
Get full text
Get full text
Get full text
Article -
6
Implementation Of FPGA Based Encryption Chip Using VHD - Data Encryption Standard (DES) Algorithm
Published 2006“…There are many researchers used Data Encryption Standard (DES) Algorithm to implement in FPGAs. …”
Get full text
Get full text
Monograph -
7
Mining Sequential Patterns using I-PrefixSpan
Published 2008Get full text
Get full text
Citation Index Journal -
8
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
Get full text
Get full text
Get full text
Thesis -
9
LS-SVM Hyper-parameters Optimization Based on GWO Algorithm for Time Series Forecasting
Published 2015Get full text
Get full text
Get full text
Conference or Workshop Item -
10
Application of target detection method based on convolutional neural network in sustainable outdoor education
Published 2023“…In order to realize the intelligence of underwater robots, this exploration proposes a submersible vision system based on neurorobotics to obtain the target information in underwater camera data. …”
Get full text
Get full text
Article -
11
A big data prediction framework for weather forecast using MapReduce algorithm
Published 2017“…The process of weather forecasting is developing as the effect of advancement in technology right from the realization of increasing size of data, Weather forecasting was found to be based on big data. …”
Get full text
Get full text
Get full text
Article -
12
Second compression for pixelated images under edge-based compression algorithms: JPEG-LS as an example
Published 2021“…This paper details the examination of a particular case of data compression, where the compression algorithm removes the redundancy from data, which occurs when edge-based compression algorithms compress (previously com- pressed) pixelated images. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Article -
13
Utilizing Classifier Algorithms to Analyze Lending Activity at The Sumsel Babel Bank's Pagar Alam Branch
Published 2023“…The result shows the algorithm is entirely reasonable in predicting customer data.…”
Get full text
Get full text
Get full text
Article -
14
Short term forecasting based on hybrid least squares support vector machines
Published 2018“…This study assesses the performance of each hybrid algorithms based on three statistical indices viz. Mean Square Error (MSE), Root Mean Square Percentage Error (RMSPE) and Theil’s U which is realized on raw and normalized data set. …”
Get full text
Get full text
Get full text
Article -
15
Developing framework for natphoric computer-aided web-based kansei engineering / Mohammad Bakri Che Haron
Published 2013“…The Natphoric algorithm learns the process done by training with sets of training data from previous KE research works. …”
Get full text
Get full text
Thesis -
16
Topological Clustering via Adaptive Resonance Theory With Information Theoretic Learning
Published 2019“…Other types of the ART-based topological clustering algorithms have been developed, however, these algorithms have various drawbacks such as a large number of parameters, sensitivity to noisy data. …”
Get full text
Get full text
Article -
17
Weight-based firefly algorithm for document clustering
Published 2013Get full text
Get full text
Get full text
Conference or Workshop Item -
18
Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…In this paper, we propose an improvement of pattern growth-based PrefixSpan algorithm, called I-PrefixSpan. The general idea of I-PrefixSpan is to use the efficient data structure for general tree-like framework and separator database to reduce the execution time and memory usage. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
19
New Evolving Fuzzy System Algorithms Using Dynamic Constraint
Published 2016Get full text
Get full text
Thesis -
20
Iterative And Single-Step Solutions Of Two Dimensional Time-Domain Inverse Scattering Problem Featuring Ultra Wide Band Sensors
Published 2010“…The image reconstruction algorithm was based on the gradient minimization of an augmented cost function defined as the difference between measured and calculated fields. …”
Get full text
Get full text
Thesis
