Search Results - (( developing way extraction algorithm ) OR ( java code classification algorithm ))

Search alternatives:

Refine Results
  1. 1
    Development Of Machine Learning User Interface For Pump Diagnostics

    Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

    Published 2022
    “…The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  2. 2
    Object-Oriented Programming semantics representation utilizing agents

    Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

    Published 2011
    “…A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat

    Improving explicit aspects extraction in sentiment analysis using optimized ruleset / Mohammad Ahmad Jomah Tubishat by Mohammad Ahmad, Jomah Tubishat

    Published 2019
    “…Our results from the conducted experiments revealed that the proposed algorithm outperform the state-of-the-art aspect extraction algorithms and optimization algorithms. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    An Information Retrieval Algorithm to Extract Influential Factors

    An Information Retrieval Algorithm to Extract Influential Factors by Nabilah Filzah, Mohd Radzuan

    Published 2012
    “…This indicates that the algorithm was able to produce a good model. The extraction algorithm developed showed that influencial factors produced could be used as guideline for companies to monitor and strategize ways for business improvement.…”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  5. 5
    Detection and extraction features for signatures images via different techniques

    Detection and extraction features for signatures images via different techniques by Fatma Susilawati, M., Alsuhimat, F.M., Iqtait, M.

    Published 2019
    “…Signature is used as a feature to identify the user by extracting a set of features. Over time, a number of techniques have been developed to identify and extract a set of features from the signature image. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  6. 6
    Fuzzy based technique for microchip lead inspection using machine vision

    Fuzzy based technique for microchip lead inspection using machine vision by Hawari, Yasser, Salami, Momoh Jimoh Emiyoka, Aburas, Abdurazzag Ali

    Published 2008
    “…This research develops a fuzzy based algorithm for microchip image lead Inspection. …”
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  7. 7
    An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks

    An efficient algorithm for cardiac arrhythmia classification using ensemble of depthwise Separable convolutional neural networks by Ihsanto, Eko, Ramli, Kalamullah, Sudiana, Dodi, Gunawan, Teddy Surya

    Published 2020
    “…Many algorithms have been developed for automated electrocardiogram (ECG) classification. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    NN-Based FECG extraction from the composite abdominal ECG

    NN-Based FECG extraction from the composite abdominal ECG by Hasan, Muhammad Asraful, Ibrahimy, Muhammad Ibn, Reaz, Mamun Bin Ibne

    Published 2008
    “…The purpose of thi s paper is to illustrate the developed algorithms on FECG signal extraction from the abdominal ECG signal using Neural Network approach is to provide efficient and effective ways of separating and understanding the FECG signal and its nature. …”
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  9. 9
    Fetal ECG extraction from maternal abdominal ECG using neural network

    Fetal ECG extraction from maternal abdominal ECG using neural network by Ibrahimy, Muhammad Ibn

    Published 2009
    “…The purpose of this paper is to illustrate the developed algorithms on FECG signal extraction from the abdominal ECG signal using Neural Network approach to provide efficient and effective ways of separating and understanding the FECG signal and its nature. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin

    Data mining using genetic algorithm in finance data / A. Noor Latiffah and A. B. Nordin by Latiffah, A. Noor, Nordin, A. B.

    Published 2006
    “…This patterns or rules may help to develop better decision-making process. Data mining is primarily used in finance and business environment to extract knowledge from financial, retail, communication and marketing data. …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  11. 11
    Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes

    Innovative algorithm for easing VIP's navigation by avoiding obstacles and finding safe routes by Dooraki A.R., Hooshyar D., Yousefi M.

    Published 2023
    Conference Paper
    Save to List
    Saved in:
  12. 12
    Classification and detection of intelligent house resident activities using multiagent

    Classification and detection of intelligent house resident activities using multiagent by ,, Mohd. Marufuzzaman, M. B. I., Raez, M. A. M., Ali, Rahman, Labonnah F.

    Published 2013
    “…Result shows that, the algorithm can successfully identify 135 unique tasks of different lengths.This algorithm is surely being an alternate way of pattern recognition in intelligent home.…”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  13. 13
    Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network

    Development Of Water Quality Index Prediction Model For Penang Rivers Using Artificial Neural Network by Mohd Hamdan, Eleena Yasmeen

    Published 2021
    “…Prior to the development of ANN-based WQI prediction model, the BR algorithm was chosen with two-, three-, four-, five- and six-neuron architectures for 60% and 70% training. …”
    Get full text
    Get full text
    Monograph
    Save to List
    Saved in:
  14. 14
    Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine

    Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine by Fathi Mahdi Elsiddig Haroun, Mr.

    Published 2023
    “…Also, a corridor extraction algorithm has been developed to extract the region of interest (ROI) around the transmission towers. …”
    text::Thesis
    Save to List
    Saved in:
  15. 15
    Development of a personified face emotion recognition technique using fitness function

    Development of a personified face emotion recognition technique using fitness function by Muthukaruppan, Karthigayan, Mohd Rizon, Mohamed Juhari, Ramachandran, Nagarajan, Masanori, Sugisaka, Sazali, Yaacob, Mohd Rozailan, Mamat, Hazry, Desa

    Published 2009
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    A word stemming algorithm for Hausa language

    A word stemming algorithm for Hausa language by Muazzam, Bashir, Azilawati, Rozaimee, Wan Malini, Wan Isa

    Published 2015
    “…The proposed method is a modification of Porter’s algorithm to fit Hausa morphological rules. The system has an accuracy of 73.8% for implementation with 2573 words extracted from four different articles from Hausa Leadership newspaper. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  17. 17
    Extraction of Inherent Frequency Components of Multiway EEG Data Using Two-Stage Neural Canonical Correlation Analysis

    Extraction of Inherent Frequency Components of Multiway EEG Data Using Two-Stage Neural Canonical Correlation Analysis by W Omar Ali Saifuddin, Wan Ismail, A. N. M. Enamul, Kabir

    Published 2014
    “…This paper presents an algorithm for extracting underlying frequency components of massive Electroencephalogram (EEG) data. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs

    An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs by Sadiq, Ali Safaa, Alkazemi, Basem, Mirjalili, Seyedali, Ahmed, Noraziah, Khan, Suleman, Ali, Ihsan, Pathan, Al-Sakib Khan, Ghafoor, Kayhan Zrar

    Published 2018
    “…Our developed algorithm works in extracting the most relevant features that can assist in accurately detecting the network attacks. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    An efficient IDS using hybrid Magnetic swarm optimization in WANETs

    An efficient IDS using hybrid Magnetic swarm optimization in WANETs by Sadiq, Ali Safa, Alkazemi, Basem Y., Mirjalili, Seyedali, Noraziah, Ahmad, Khan, Suleman, Ihsan, Ali, Pathan, Al-Sakib Khan, Ghafoor, Kayhan Zrar

    Published 2018
    “…Our developed algorithm works in extracting the most relevant features that can assist in accurately detecting the network attacks. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Development of interactive application for classification of Artocarpus Species

    Development of interactive application for classification of Artocarpus Species by Abdul Ghapar, Nadia

    Published 2020
    “…This study capable to provide the results for current accuracy data representation of the selected Artocarpus species. The development of Graphical User Interface (GUI) for classification of Artocarpus species help user to identify and differentiate the species in faster and easier way especially botanist, taxonomist, and researcher. …”
    Get full text
    Undergraduate Final Project Report
    Save to List
    Saved in:

Search Tools: