Search Results - (( exploring activation detection algorithm ) OR ( java implication based algorithm ))

Refine Results
  1. 1

    Bat Algorithm for Complex Event Pattern Detection in Sentiment Analysis by Kabir Ahmad, Farzana, Kamaruddin, Siti Sakira, Yusof, Yuhanis, Yusoff, Nooraini

    Published 2021
    “…Thus, this study proposed a Bat Algorithm (BA) to address the complex learning structure of DBN in detecting sentiment patterns. …”
    Get full text
    Get full text
    Monograph
  2. 2
  3. 3

    A Systematic Review of Metaheuristic Algorithms in Human Activity Recognition : Applications, Trends, and Challenges by John Deutero, Kisoi, Norfadzlan, Yusup, Syahrul Nizam, Junaini

    Published 2025
    “…Metaheuristic algorithms have emerged as promising techniques for optimizing human activity recognition (HAR) systems. …”
    Get full text
    Get full text
    Get full text
    Article
  4. 4

    Improved abnormal detection using self-adaptive social force model for visual surveillance by Wan Nur Azhani, W. Samsudin

    Published 2017
    “…However, there is a problem with the earlier SFM, which is the similarity of actual velocity and desired velocity caused the abnormal detection inaccurate. The estimation of the good quality of interaction forces is critical in this case and has not been explored yet. …”
    Get full text
    Get full text
    Thesis
  5. 5

    Analysis of banana plant health using machine learning techniques by Thiagarajan, Joshva Devadas, Kulkarni, Siddharaj Vitthal, Jadhav, Shreyas Anil, Waghe, Ayush Ashish, Raja, S.P., Rajagopal, Sivakumar, Poddar, Harshit, Subramaniam, Shamala

    Published 2024
    “…This manuscript examines the prediction and detection of diseases in banana leaves, exploring various diseases, machine learning algorithms, and methodologies. …”
    Get full text
    Get full text
    Get full text
    Article
  6. 6

    Early Detection Of ADHD Among Children Using Machine Learning by Nur Atiqah, Kamal

    Published 2023
    “…Functional magnetic resonance imaging (fMRI) has emerged as a valuable tool for understanding the neural basis of ADHD. This abstract explores the significance of early ADHD detection, the potential of fMRI for ADHD diagnosis, and the role of machine learning in facilitating early identification. …”
    Get full text
    Get full text
    Undergraduates Project Papers
  7. 7

    Automatic Road Network Recognition and Extraction for Urban Planning by Bong, David B L, Lai, K.C., Joseph, A.

    Published 2009
    “…A Hybrid Simple Colour Space Segmentation & Edge Detection (Hybrid SCSS-EDGE) algorithm was developed to extract roads automatically from satellite-taken images. …”
    Get full text
    Get full text
    Get full text
    Article
  8. 8

    Zebrafish larvae locomotor activity detection using Convolutional NeuraL Network (CNN) by Wan Nur Azhani, Wan Samsudin, Mohd Harizan, Zul, Mohd Zamri, Ibrahim, Rohana, Abdul Karim, Wan Norhamidah, Wan Ibrahim

    Published 2022
    “…To overcome the limitations, this works aims to develop an algorithm to elucidate the zebrafish larvae locomotor activity using Convolutional Neural Network (CNN). …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  9. 9

    ANN-based performance analysis on human activity recognition by Elzein, Nahla Mohammed, Fakherldin, Mohammed, Abaker, Ibrahim, Mazlina, Abdul Majid

    Published 2020
    “…In this paper, we used an algorithm to predict a person's activity based on the collected sensor data. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  10. 10

    ANN-based Performance Analysis on Human Activity Recognition by Elzein, Nahla Mohammed, Fakherldin, Mohammed, Abaker, Ibrahim, Mazlina, Abdul Majid

    Published 2020
    “…In this paper, we used an algorithm to predict a person's activity based on the collected sensor data. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
  11. 11

    Behavior Recognition In Video Surveillance System For Indoor Public Areas Using Artificial Immune System by Abad, Azad

    Published 2008
    “…Artificial intelligence systems are widely used to extract and analyze the complicated human actions through logical and mathematical rules. This study has explored an intelligent video surveillance system, presented by real time moving detection, object classification and interpreting the activity of the people by employing image segmentation and new approach in artificial intelligence called artificial immune system. …”
    Get full text
    Get full text
    Thesis
  12. 12
  13. 13

    Machine Learning Based Detection for Compromised Accounts on Social Media Networks by K., Swapna, M., Rithika, K., Rukmini, S., Swachitha, Y., Komali

    Published 2025
    “…This paper presents a novel approach to detecting compromised accounts on social networks. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
  14. 14

    Object-based imagery analysis for automatic urban tree species detection using high resolution satellite image by Shojanoori, Razieh

    Published 2016
    “…This study also explores the use and comparison of object-based classification, and two common pixel-based classification methods namely, maximum likelihood and support vector machines based on WorldView-2 satellite imagery to evaluate the potential of the object-based in compare to pixel-based to detect urban tree species. …”
    Get full text
    Get full text
    Thesis
  15. 15

    Forensic language of property theft genre based on mathematical formulae and machine learning algorithms / Hana' Abd Razak by Abd Razak, Hana'

    Published 2020
    “…Towards achieving better detection in real-time environment, colour pixel-based images were trained on five pre-trained CNNs using transfer learning algorithm. …”
    Get full text
    Get full text
    Thesis
  16. 16

    Data redundancy reduction scheme for data aggregation in wireless sensor network by Adawy, Mohammad Ibrahim

    Published 2020
    “…This research proposes Data Redundancy Reduction Scheme (DRRS) which includes three algorithms namely, Metadata Classification (MC), Selection Active Nodes (SAN) and Anomaly Detection (AD) algorithms that works before data aggregation, when multiple composite events simultaneously occur in the different locations within the cluster. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
  17. 17
  18. 18
  19. 19

    A STUDY OF FRACTAL ANALYSIS AND SINGULARITY SPECTRUM AND ITS POTENTIAL APPLICATION IN THE OIL AND GAS INDUSTRY by ., SANDEEP RAMAKRISHNAN

    Published 2012
    “…This makes seismic exploration activities all the more important. Present indirect hydrocarbon detection techniques using seismic are costly and do not guarantee detection of oil or gas. …”
    Get full text
    Get full text
    Final Year Project
  20. 20