Suchergebnisse - Hexadecimal Local Adaptive Binary Pattern

A novel automated tower graph based ECG signal classification method with hexadecimal local adaptive binary pattern and deep learning

Autoren: Turker Tuncer Abdulhamit Subasi Sengul Dogan

Quelle: Journal of Ambient Intelligence and Humanized Computing. 14:711-725

Schlagwörter: ta113, ta3126, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: https://link.springer.com/content/pdf/10.1007/s12652-021-03324-4.pdf
http://juuli.fi/Record/0381131921
https://doi.org/10.1007/s12652021033244
https://link.springer.com/content/pdf/10.1007/s12652-021-03324-4.pdf
https://link.springer.com/article/10.1007/s12652-021-03324-4

A novel automated tower graph based ECG signal classification method with hexadecimal local adaptive binary pattern and deep learning.

Autoren: Subasi, Abdulhamit Dogan, Sengul Tuncer, Turker

Quelle: Journal of Ambient Intelligence & Humanized Computing; Feb2023, Vol. 14 Issue 2, p711-725, 15p

Band power feature part-based convolutional neural network with African vulture optimization fostered channel selection for EEG classification.

Autoren: Selvaraj, Vairaprakash Alagarsamy, Manjunathan Datchanamoorthy, Kavitha et al.

Quelle: Comput Methods Biomech Biomed Engin ; ISSN:1476-8259 ; Volume:28 ; Issue:13

Schlagwörter: African vulture optimization algorithm, Contrast limited adaptive histogram equalization filtering, electroencephalogram, hexadecimal local adaptive binary pattern (HLABP) method, part-based convolutional neural network

Relation: https://doi.org/10.1080/10255842.2024.2356633; https://pubmed.ncbi.nlm.nih.gov/38907638

Verfügbarkeit: https://doi.org/10.1080/10255842.2024.2356633
https://pubmed.ncbi.nlm.nih.gov/38907638

MLBFN optimized with Archimedes optimization Algorithm for SRCE.

Autoren: Kumar Kannaiah, Sathish Sonaimuthu, Sridevi Rama Krishnan Alangudi Balaji, Navaneetha et al.

Quelle: Expert Systems with Applications. Dec2024:Part B, Vol. 255, pN.PAG-N.PAG. 1p.

Schlagwörter: *OPTIMIZATION algorithms, *CONSCIOUSNESS raising, *QUALITY of life, *INTERNET of things, *EVERYDAY life

Binarized spiking neural network optimized with momentum search algorithm for fetal arrhythmia detection and classification from ECG signals.

Autoren: Shekhawat, Deepika Chaudhary, Deevesh Kumar, Ashutosh et al.

Quelle: Biomedical Signal Processing & Control. Mar2024, Vol. 89, pN.PAG-N.PAG. 1p.

Schlagwörter: Arrhythmia, Search algorithms, Electrocardiography, Feature extraction, Fetal abnormalities, Muscle contraction

Optimized self‐attention based cycle‐consistent generative adversarial network adopted melanoma classification from dermoscopic images.

Autoren: Harini, P. Madhavi, N. Bindu Latha, S. Bhargavi et al.

Quelle: Microscopy Research & Technique; Jun2024, Vol. 87 Issue 6, p1271-1285, 15p

Smart adaptive learning and optimized feature clustering for enhanced image retrieval.

Autoren: Umaeswari, P. Patil, Sujata Divakarachari, Parameshachari Bidare et al.

Quelle: Scientific Reports; 7/12/2025, Vol. 15 Issue 1, p1-15, 15p

Schlagwörter: CONTENT-based image retrieval, IMAGE retrieval, CLUSTERING algorithms, CONVOLUTIONAL neural networks, MULTIMEDIA systems

A novel facial image recognition method based on perceptual hash using quintet triple binary pattern.

Autoren: Tuncer, Turker Dogan, Sengul Abdar, Moloud et al.

Quelle: Multimedia Tools & Applications; Oct2020, Vol. 79 Issue 39/40, p29573-29593, 21p

Schlagwörter: IMAGE recognition (Computer vision), DISCRETE wavelet transforms, QUINTETS, SUPPORT vector machines, HUMAN facial recognition software

Firma/Körperschaft: AT&T Inc.

Comparative analysis of color histogram and LBP in CBIR systems.

Autoren: Dowerah, Rituporna Patel, Sanjeev

Quelle: Multimedia Tools & Applications; Feb2024, Vol. 83 Issue 5, p12467-12486, 20p

Multilevel hybrid accurate handcrafted model for myocardial infarction classification using ECG signals.

Autoren: Barua, Prabal Datta Aydemir, Emrah Dogan, Sengul et al.

Quelle: International Journal of Machine Learning & Cybernetics; May2023, Vol. 14 Issue 5, p1651-1668, 18p

A change-point method for multi-lead electrocardiogram monitoring using weighted multivariate functional principal component analysis.

Autoren: Hafezalseheh H Fathian M Noorossana R et al.

Quelle: Health care management science [Health Care Manag Sci] 2025 Sep; Vol. 28 (3), pp. 357-380. Date of Electronic Publication: 2025 Jun 04.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Baltzer Science Publishers Country of Publication: Netherlands NLM ID: 9815649 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1572-9389 (Electronic) Linking ISSN: 13869620 NLM ISO Abbreviation: Health Care Manag Sci Subsets: MEDLINE

MeSH-Schlagworte: Electrocardiography*/methods , Principal Component Analysis*/methods , Signal Processing, Computer-Assisted* , Cardiovascular Diseases*/diagnosis, Humans ; Multivariate Analysis ; Algorithms

A dynamic center and multi threshold point based stable feature extraction network for driver fatigue detection utilizing EEG signals.

Autoren: Tuncer, Turker Dogan, Sengul Ertam, Fatih et al.

Quelle: Cognitive Neurodynamics; Apr2021, Vol. 15 Issue 2, p223-237, 15p

Defending Deep Learning-Based Raw Malware Detectors Against Adversarial Attacks: A Sequence Modeling Approach.

Autoren: Ebrahimi, Reza Hu, James Lee Zhang, Ning et al.

Quelle: Journal of Management Information Systems; 2025, Vol. 42 Issue 4, p1118-1148, 31p

Schlagwörter: DEEP learning, MALWARE, RECURRENT neural networks, INTERNET security, GENERATIVE artificial intelligence, CYBERTERRORISM

Machine Learning-Assisted Cryptographic Security: A Novel ECC-ANN Framework for MQTT-Based IoT Device Communication.

Autoren: Karimunda, Kalimu Ufitikirezi, Jean de Dieu Marcel Bumbálek, Roman et al.

Quelle: Computation; Oct2025, Vol. 13 Issue 10, p227, 23p

Schlagwörter: ELLIPTIC curve cryptography, INTERNET of things, CRYPTOGRAPHY, DATA encryption, ANOMALY detection (Computer security), TELEMETRY, MACHINE learning

Adaptive Feedback Compensation Algorithm for Quantum Random Number Generators.

Autoren: Deng, Wei Chen, Kun Hua, Fei et al.

Quelle: Entropy; Aug2025, Vol. 27 Issue 8, p860, 15p

Schlagwörter: QUANTUM cryptography, ALGORITHMS, FEEDBACK control systems, ENCRYPTION protocols, EXPERIMENTAL design, QUANTUM noise

Lattice 123 pattern for automated Alzheimer's detection using EEG signal.

Autoren: Dogan, Sengul Barua, Prabal Datta Baygin, Mehmet et al.

Quelle: Cognitive Neurodynamics; Oct2024, Vol. 18 Issue 5, p2503-2519, 17p

A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security.

Autoren: Li, Junjun Ma, Yanyan Bai, Jiahui et al.

Quelle: Sensors (14248220); Aug2025, Vol. 25 Issue 15, p4622, 22p

Schlagwörter: INTRUSION detection systems (Computer security), FEDERATED learning, INTERNET security, VEHICULAR ad hoc networks, ARTIFICIAL neural networks, MACHINE learning

Effects of Biases in Geometric and Physics-Based Imaging Attributes on Classification Performance.

Autoren: Rouhani, Bahman Tsotsos, John K.

Quelle: Journal of Imaging; Oct2025, Vol. 11 Issue 10, p333, 39p

Malware Detection Using Hebbian Spike Deep Belief Network with Cosine Similarity Loss Function.

Autoren: Jayaprakash, Parvathi Sathenahalli Chandrashekaraiah, Yogeesh Amabalagere

Quelle: International Journal of Intelligent Engineering & Systems; 2025, Vol. 18 Issue 10, p379-398, 20p

Schlagwörter: MALWARE, DEEP learning, LOSS functions (Statistics), MACHINE learning, INTERNET security, ARTIFICIAL neural networks, SIGNAL detection

Lobish: Symbolic Language for Interpreting Electroencephalogram Signals in Language Detection Using Channel-Based Transformation and Pattern.

Autoren: Tuncer, Turker Dogan, Sengul Tasci, Irem et al.

Quelle: Diagnostics (2075-4418); Sep2024, Vol. 14 Issue 17, p1987, 21p

Schlagwörter: SIGNAL processing, ENGINEERING models, SIGNAL detection, K-nearest neighbor classification, MACHINE learning