Search Results - (( new evaluation based algorithm ) OR ( rate identification based algorithm ))

Search alternatives:

Refine Results
  1. 1
    Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani

    Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani by Seyed Asadollah, Abdiesfandani

    Published 2016
    “…To evaluate the algorithm, we conducted two experiments. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  2. 2
    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh

    Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

    Published 2015
    “…The adaptive repository mechanism is a general scheme and can be embedded with high flexibility into any population-based evolutionary algorithm. Moreover, this work is extended to integrate the SPX crossover operator with the adaptive ARDE algorithm in a new way of implementation in order to make the adaptive ARDE algorithm satisfy both the global and local search requirements. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  3. 3
    Bio-signal identification using simple growing RBF-network (OLACA)

    Bio-signal identification using simple growing RBF-network (OLACA) by Asirvadam , Vijanth Sagayan, McLoone, Sean, Palaniappan, R

    Published 2007
    “…The new algorithms are evaluated on a chaotic nonlinear biological based time series signals such as electroencephalographic (EEG) and electrocardiography (ECG). …”
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  4. 4
    Enhanced face recognition using discrete cosine transform

    Enhanced face recognition using discrete cosine transform by Fatma Susilawati, Mohamad, Mustafa, Mamat, Zahraddeen, Sufyanu

    Published 2016
    “…Appearance based techniques were also exploited for comparison with the new method, and results show that ‘ASDCT’ outperformed many renowned algorithms in the literature. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  5. 5
    Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak

    Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak by Dak, Ahmad Yusri

    Published 2019
    “…It involves development of Max-Min Rule-Based Classification Algorithm. The fourth stage is to design evaluation methodology of Max-Min Rule-Based Classification Algorithm using classifier model. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Hybrid genetic random forest algorithm for the identification of ISI-indexed articles / Mohammadreza Moohebat

    Hybrid genetic random forest algorithm for the identification of ISI-indexed articles / Mohammadreza Moohebat by Mohammadreza, Moohebat

    Published 2017
    “…After ensuring that the classification technique was able to accomplish this work, Hybrid Genetic Random Forests (HGRF) was introduced as a new ensemble classifier based on a Random Forest algorithm, but altered slightly with some innovations. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine

    Reassembly and clustering bifragmented intertwined jpeg images using genetic algorithm and extreme learning machine by Raad Ali, Rabei

    Published 2019
    “…The RX_myKarve is an extended framework from X_myKarve, which consists of the following key components: (i) an Extreme Learning Machine (ELM) neural network for clusters classification using three existing content-based features extraction (Entropy, Byte Frequency Distribution (BFD) and Rate of Change (RoC)) to improve the identification of JPEG images content and support the reassembling process; (ii) a genetic algorithm with Coherence Euclidean Distance (CED) matric and cost function to reconstruct a JPEG image from a set of deformed and fragmented clusters in the scan area. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  8. 8
    Biometric identification and recognition for iris using failure rejection rate (FRR) / Musab A. M. Ali

    Biometric identification and recognition for iris using failure rejection rate (FRR) / Musab A. M. Ali by M. Ali, Musab A.

    Published 2016
    “…Iris recognition is reckoned as one of the most reliable biometrics for identification purpose in terms of reliability and accuracy. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  9. 9
    Statistical computing for forensic firearm pattern identification: Evaluating a fisher linear discriminant analysis-based algorithm against fixed-impulse noise

    Statistical computing for forensic firearm pattern identification: Evaluating a fisher linear discriminant analysis-based algorithm against fixed-impulse noise by Chuan, Zun Liang, Abraham Lim, Bing Sern, Tan, Chek Cheng, Abdul Aziz, Jemain, Liong, Choong-Yeun

    Published 2025
    “…Previous studies developed a Fisher Linear Discriminant Analysis (FLDA)-based ballistic identification algorithm to address this limitation, encompassing image pre-processing, feature extraction, and identification. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Fsm-Based Enhanced March C- Algorithm For Memory Built-In Self-Test

    Fsm-Based Enhanced March C- Algorithm For Memory Built-In Self-Test by CH’NG , MING ZONG

    Published 2017
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  11. 11
    A Robust Firearm Identification Algorithm of Forensic Ballistics Specimens

    A Robust Firearm Identification Algorithm of Forensic Ballistics Specimens by Z. L., Chuan, A. A., Jemain, C-Y, Liong, N. A. M., Ghani, L. K., Tan

    Published 2017
    “…Therefore, the aim of this study is to propose a robust algorithm for a firearm identification based on extracting a set of informative features from the segmented region of interest (ROI) using the simulated noisy center-firing pin impression images. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  12. 12
    Eeg-Based Person Identification Using Multi-Levelwavelet Decomposition With Multi-Objective Flower Pollination Algorithm

    Eeg-Based Person Identification Using Multi-Levelwavelet Decomposition With Multi-Objective Flower Pollination Algorithm by Yahya Alyasseri, Zaid Abdi Alkareem

    Published 2020
    “…Third, select efficient features that can be extracted from the EEG signal for achieving the highest accuracy rate. For addressing these points, a novel person identification method that is using EEG with multi-level wavelet decomposition and multi-objective flower pollination algorithm is proposed in this thesis. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  13. 13
    Performance analysis of robust road sign identification

    Performance analysis of robust road sign identification by Mohd Ali, Nursabillilah

    Published 2013
    “…This study describes performance analysis of a robust system for road sign identification that incorporated two stages of different algorithms. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  14. 14
    Person identification in irregular cardiac conditions using electrocardiogram signals

    Person identification in irregular cardiac conditions using electrocardiogram signals by Sidek, Khairul Azami, Khalil, Ibrahim

    Published 2011
    “…Our experimentation results suggest that ECG based biometric identification with irregular cardiac condition gives a higher recognition rate of different ECG signals when tested for three different abnormal cardiac databases yielding false acceptance rate (FAR) of 2%, 3% and 2% and false reject rate (FRR) of 1%, 2% and 0% for AFPDB, SVDB and TWADB respectively. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  15. 15
    Language identification system using Matlab: design, implementation, and sample codes

    Language identification system using Matlab: design, implementation, and sample codes by Husain, Rashida, Gunawan, Teddy Surya, Kartiwi, Mira

    Published 2017
    “…This book investigates the development of language identification based on Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) algorithm. …”
    Get full text
    Get full text
    Book
    Save to List
    Saved in:
  16. 16
    Development of language identification system using MFCC and vector quantization

    Development of language identification system using MFCC and vector quantization by Gunawan, Teddy Surya, Husain, Rashida, Kartiwi, Mira

    Published 2017
    “…This paper investigates the development of language identification based on Mel-Frequency Cepstral Coefficients (MFCC) and Vector Quantization (VQ) algorithm. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  17. 17
    Development of efficient iris identification algorithm using wavelet packets for smartphone application

    Development of efficient iris identification algorithm using wavelet packets for smartphone application by Gunawan, Teddy Surya, Solihin, Nurul Shaieda, Morshidi, Malik Arman, Kartiwi, Mira

    Published 2017
    “…Results showed that the accuracy of the proposed algorithm is 100% identification rate.…”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  18. 18
    Grouping based radio frequency identification anti-collision protocols for dense internet of things application

    Grouping based radio frequency identification anti-collision protocols for dense internet of things application by Umelo, Nnamdi H., Noordin, Nor K., A. Rasid, Mohd Fadlee, Geok, Tan K., Hashim, Fazirulhisyam

    Published 2022
    “…Results show that with higher tag density, fuzzy C-means based algorithm (FCMBG) outperformed traditional DFSA by over 40% in terms of throughput rate. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Performance analysis of robust road sign identification

    Performance analysis of robust road sign identification by Ali, Nursabillilah M, Mohd Mustafah, Yasir, Alang Md Rashid, Nahrul Khair

    Published 2013
    “…This study describes performance analysis of a robust system for road sign identification that incorporated two stages of different algorithms. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  20. 20
    Acoustic echo cancellation using adaptive filtering algorithms for quranic accents (Qiraat) identification

    Acoustic echo cancellation using adaptive filtering algorithms for quranic accents (Qiraat) identification by Kamarudin, Noraziahtulhidayu, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Abushariah, Mohammad A. M., Hashim, Shaiful Jahari, Hassan Azhari, Abd Rauf

    Published 2015
    “…In order to verify our methodology, audio files have been collected for Surat Ad-Duhaa for five different Quranic accents (Qiraat), namely: (1) Ad-Duri, (2) Al-Kisaie, (3) Hafs an A’asem, (4) IbnWardan, and (5) Warsh. Based on our experimental results, the AP algorithm achieved 93.9 % accuracy rate against all pattern classification techniques including PPCA, KNN, and GMM. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:

Search Tools: