Search Results - (( developing small mapping algorithm ) OR ( java application mining algorithm ))
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Direct approach for mining association rules from structured XML data
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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. These data are processed and stored in appropriate formats in a MySQL server database. …”
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Mining Sequential Patterns Using I-PrefixSpan
Published 2007“…Sequential pattern mining is a relatively new data-mining problem with many areas of application. …”
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A web-based implementation of k-means algorithms
Published 2022“…This stinginess of proximity measures in data mining tools is stifling the performance of the algorithm. …”
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Mining Sequential Patterns using I-PrefixSpan
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Mapreduce algorithm for weather dataset
Published 2017“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. …”
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MapReduce algorithm for weather dataset
Published 2018“…This original dataset is stored in Hadoop Distributed File System. Next, MapReduce Algorithm is developed using Java programming. …”
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Research Report -
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Chaotic Mapping Lion Optimization Algorithm-Based Node Localization Approach for Wireless Sensor Networks
Published 2023“…Therefore, this paper develops a Chaotic Mapping Lion Optimization Algorithm-based Node Localization Approach (CMLOA-NLA) for WSNs. …”
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Labview Based Pid Algorithm Development for Z Motion Control in Atomic Force Microscopy
Published 2015“…Therefore, the main objective in this thesis is to develop a PID algorithm for Z motion control. As the scanning probe move in XY direction, if the tips has going up/down caused the laser does not stay at the center of photodetector. …”
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A Reference Based Surface Defect Segmentation Algorithm For Automatic Optical Inspection System
Published 2020“…This study aims to develop an algorithm for the AOI system to segment and detect surface defects, requiring low processing power and a small number of learning dataset with labelling error resistance. …”
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Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…The simulation will be carried on WEKA tool, which allows us to call some data mining methods under JAVA environment. The proposed model will be tested and evaluated on both NSL-KDD and KDD-CUP 99 using several performance metrics.…”
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Meta-requirement mapping model
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CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…In the hybrid scheme, the initial parameters of the modified BP neural network are optimized by using the global search ability of genetic algorithm, improved by cat chaotic mapping to enrich its optimization capability. …”
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ReSTiNet: An efficient deep learning approach to improve human detection accuracy
Published 2023“…. • The network is small in size but has a faster detection speed with high accuracy.…”
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ReSTiNet: An Efficient Deep Learning Approach to Improve Human Detection Accuracy
Published 2023“…The validation of the proposed ReSTiNet model has been done on INRIA person dataset using the Tesla K80. â�¢ All the necessary steps, algorithms, and mathematical formulas for building the net- work are provided. â�¢ The network is small in size but has a faster detection speed with high accuracy. …”
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Automatic mapping of concrete strength in structural element
Published 2006“…A portable and quick way to check and map the uniformity and the strength of concrete has been developed utilizing the use of pressure wave and signal processing techniques. …”
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Small target detection of Unmanned Aerial Vehicles based on GDWNet in the digital economy
Published 2025“…When applied to the UAV aerial imagery VisDrone dataset, the proposed model achieved a mean Average Precision (mAP) of 35.8%, representing a 3.1% improvement over the conventional YOLOv8s algorithm.…”
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Fast approach for automatic data retrieval using R programming language
Published 2017“…Thus, this work proposes a fast approach for automatic data retrieval using R, a powerful programming language for statistical and big data analysis. The developed algorithm performs data retrieval using a source file and a map file as inputs and produces a desired output file. …”
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ReSTiNet : An efficient deep learning approach to improve human detection accuracy
Published 2023“…The validation of the proposed ReSTiNet model has been done on INRIA person dataset using the Tesla K80. • All the necessary steps, algorithms, and mathematical formulas for building the net- work are provided. • The network is small in size but has a faster detection speed with high accuracy.…”
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