Search Results - (( java application sensor algorithm ) OR ( _ normalization techniques algorithm ))

Refine Results
  1. 1

    Study and Implementation of Data Mining in Urban Gardening by Mohana, Muniandy, Lee, Eu Vern

    Published 2019
    “…The process begins through the monitoring of plants using sensors connected to the Arduino device. Attached sensors generate data and send these data to the Java Servlet application through a WIFI module. …”
    Get full text
    Get full text
    Get full text
    Article
  2. 2

    Improved normalization and standardization techniques for higher purity in K-means clustering by Dalatu, Paul Inuwa, Fitrianto, Anwar, Mustapha, Aida

    Published 2016
    “…Clustering is an unsupervised classification method with aim of partitioning, where objects in the same cluster are similar, and objects belong to different clusters vary significantly, with respect to their attributes. The K-means algorithm is a famous and fast technique in non-hierarchical cluster algorithms. …”
    Get full text
    Get full text
    Get full text
    Article
  3. 3
  4. 4

    JPEG Image Encryption Using Combined Reversed And Normal Direction-Distorted Dc Permutation With Key Scheduling Algorithm-Based Permutation by Abu, Ahmad Zaidee

    Published 2008
    “…It is also shown that this technique is fully format compliance as most of other techniques do. …”
    Get full text
    Get full text
    Thesis
  5. 5

    An improved recommender system based on normalization of matrix factorization and collaborative filtering algorithms by Zahid, Aafaq

    Published 2015
    “…It is concluded that the resultant hybrid techniques can perform well if the variables provided to normalization by neighborhood model (MF and CF) do not have big differences in order for the hybrid normalization model to outperform every algorithm in comparison.…”
    Get full text
    Get full text
    Thesis
  6. 6

    An alternative approach to normal parameter reduction algorithms for decision making using a soft set theory / Sani Danjuma by Sani , Danjuma

    Published 2017
    “…In addition, the algorithm was relatively easy to understand compare to the state of the art of normal parameter reduction algorithm. …”
    Get full text
    Get full text
    Get full text
    Thesis
  7. 7

    Human activity recognition via accelerometer and gyro sensors by Tee, Jia Lin

    Published 2023
    “…To implement the data engineering system proposed, two mobile applications, SensorData and SensorDataLogger with user-friendly interfaces and intuitive functionalities are developed using Java programming language and Android Studio. …”
    Get full text
    Get full text
    Final Year Project / Dissertation / Thesis
  8. 8
  9. 9

    Data normalization techniques in swarm-based forecasting models for energy commodity spot price by Yusof, Yuhanis, Mustaffa, Zuriani, Kamaruddin, Siti Sakira

    Published 2014
    “…Data mining is a fundamental technique in identifying patterns from large data sets.The extracted facts and patterns contribute in various domains such as marketing, forecasting, and medical.Prior to that, data are consolidated so that the resulting mining process may be more efficient.This study investigates the effect of different data normalization techniques.which are Min-max, Z-score and decimal scaling, on Swarm-based forecasting models.Recent swarm intelligence algorithms employed includes the Grey Wolf Optimizer (GWO) and Artificial Bee Colony (ABC).Forecasting models are later developed to predict the daily spot price of crude oil and gasoline.Results showed that GWO works better with Z-score normalization technique while ABC produces better accuracy with the Min-Max.Nevertheless, the GWO is more superior than ABC as its model generates the highest accuracy for both crude oil and gasoline price.Such a result indicates that GWO is a promising competitor in the family of swarm intelligence algorithms.…”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  10. 10

    The Impact of Normalization Techniques on Performance Backpropagation Networks by Norlida, Hassan

    Published 2004
    “…This study explored several normalization techniques using backpropagation learning. …”
    Get full text
    Get full text
    Get full text
    Thesis
  11. 11

    Design and analysis of sequence generator module using eulerian path algorithm for DNA fragment assembly / Mustaqim Mohd Subri by Mohd Subri, Mustaqim

    Published 2013
    “…This project is to design and analysis the sequence generator module using Eulerian Path algorithm for DNA fragment assembly. Traditionally, “overlap-layoutconsensus” technique is used for DNA fragment assembly, but this technique has a problem in assembling a long sequence of DNA which a new technique needs to be used to overcome this problem. …”
    Get full text
    Get full text
    Student Project
  12. 12
  13. 13

    Taguchi?s T-method with Normalization-Based Binary Bat Algorithm by Marlan Z.M., Jamaludin K.R., Harudin N.

    Published 2025
    “…Therefore, a variable selection technique using a swarm-based Binary Bat algorithm is proposed. …”
    Conference paper
  14. 14

    Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares by Uraibi, Hassan Sami

    Published 2009
    “…Another possibility is to apply a bootstrap technique which does not rely on the normality assumption. …”
    Get full text
    Get full text
    Thesis
  15. 15

    A new method for intermediate power point tracking for PV generator under partially shaded conditions in hybrid system by Guichi, Amar, Talha, Abdelaziz, Berkouk, El Madjid, Mekhilef, Saad, Gassab, Samir

    Published 2018
    “…This technique is based on the combination of two algorithms, the particle swarm optimization algorithm for tracking the global maximum power point, while a newly developed algorithm is used for attaining any other supervisory control set point. …”
    Get full text
    Get full text
    Article
  16. 16
  17. 17

    A Comparative Study of Z-Score and Min-Max Normalization for Rainfall Classification in Pekanbaru by Rahmad Ramadhan, Laska, Anne Mudya, Yolanda

    Published 2024
    “…The objective is to compare various data normalization techniques, including Min-Max Normalization and Z-Score Normalization. …”
    Get full text
    Get full text
    Get full text
    Article
  18. 18

    Online handwritten signature recognition by length normalization using up-sampling and down-sampling by Malallah, Fahad Layth, Syed Ahmad, Sharifah Mumtazah, Wan Adnan, Wan Azizun, Arigbabu, Olasimbo Ayodeji, Iranmanesh, Vahab, Yussof, Salman

    Published 2015
    “…In this paper, we introduce an efficient algorithm for online signature length normalization by using Up-Sampling and Down-Sampling techniques. …”
    Get full text
    Get full text
    Article
  19. 19

    Comparing means of two non-homogeneous normal populations by Abd Rahman, Mohd Nawi

    Published 1986
    “…However, it can be attractive to many if some efficient algorithm is available. This paper intends to give an alternative approach for testing the means of two normal populations having unequal variances but whose coefficient of variations are homogeneous. …”
    Get full text
    Get full text
    Get full text
    Article
  20. 20

    Weather prediction in Kota Kinabalu using linear regressions with multiple variables by Teong, Khan Vun, Chung, Gwo Chin, Jedol Dayou

    Published 2021
    “…The root mean square error is used to compare the performance of the algorithms. The findings showed that the normal equation technique anticipates the weather with a high degree of accuracy, but the gradient descent technique predicts the low degree of accuracy.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Proceedings