Results 51 to 60 of about 9,834 (275)

Performance Evaluation of Some Selected Classification Algorithms in a Facial Recognition System

ABUAD Journal of Engineering Research and Development
Facial Recognition (FR) has been an active area of research and has diverse applicable environment, it continues to be a challenging research topic. With the development of image processing and pattern recognition technology, there are many challenges ...
Michael Olumuyiwa Adio, Ogunmakinde Jimoh Ogunwuyi, Mayowa Oyedepo Oyediran, Adebimpe Omolayo Esan, Olufikayo Adepoju Adedapo   +4 more
doaj   +1 more source

Parameter-Optimal-Gain-Arguable Iterative Learning Control for Linear Time-Invariant Systems with Quantized Error

Applied Sciences, 2023
In this paper, a parameter optimal gain-arguable iterative learning control algorithm is proposed for a class of linear discrete-time systems with quantized error.
Yan Liu, Xiaoe Ruan
doaj   +1 more source

Adaptive Relevance Matrices in Learning Vector Quantization [PDF]

Neural Computation, 2009
We propose a new matrix learning scheme to extend relevance learning vector quantization (RLVQ), an efficient prototype-based classification algorithm, toward a general adaptive metric. By introducing a full matrix of relevance factors in the distance measure, correlations between different features and their importance for the classification scheme ...
Petra Schneider, Michael Biehl, Barbara Hammer   +2 more
openaire   +2 more sources

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

Advanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu, Zhongheng Liu, Xinming Li, Jinrui Zhang, Meng Li, Yiming Guo, Lihua Han, Yanxue Wang   +7 more
wiley   +1 more source

MEASUREMENT OF CLASSIFICATION PERFORMANCE WITH THE LEARNING VECTOR QUANTIZATION METHOD ON COVID-19 VACCINATION DATA AT THE PARUMPANAI HEALTH CENTER

Jurnal Matematika UNAND
In the midst of the COVID-19 pandemic, various countries are always trying their best to restore global stability. One effective way is the discovery of several vaccines to prevent transmission of the virus.
ADHIYAKSA PRANANDA, Siswanto Siswanto, Sri Astuti Thamrin, A. Muh. Amil Siddik   +3 more
doaj   +1 more source

KLASIFIKASI MUTU JERUK NIPIS DENGAN METODE LEARNING VECTOR QUANTIZATION (LVQ)

Rekayasa, 2015
Pemanfaatan buah jeruk nipis sudah lama dikenal oleh masyarakat Indonesia dan memiliki nilai ekonomi yang tinggi. Harga buah jeruk nipis ditentukan oleh mutu yang didasarkan pada tingkat ketuaan dan kematangan.
Ahmad Sahru Romadhon, Vivi Tri Widyaningrum   +1 more
doaj   +1 more source

Application of Quantum Genetic Optimization of LVQ Neural Network in Smart City Traffic Network Prediction

IEEE Access, 2020
Accurate prediction of traffic flow in urban networks is of great significance for smart city management. A short-term traffic flow prediction algorithm of Quantum Genetic Algorithm - Learning Vector Quantization (QGA-LVQ) neural network is proposed to ...
Fuquan Zhang, Tsu-Yang Wu, Yiou Wang, Rui Xiong, Gangyi Ding, Peng Mei, Laiyang Liu   +6 more
doaj   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Klasifikasi Kendaraan Menggunakan Learning Vector Quantization

, 2012
AbstrakKlasifikasi kendaraan penting dilakukan mengingat sering terjadi kesalahpahaman melakukan klasifikasi karena disamakan dengan merk. Klasifikasi kendaraan sudah banyak dilakukan dari tampak depan, tampak belakang dan tampak atas, namun belum ada ...
Imelda, Imelda, Harjoko, Agus
core   +1 more source

ADAPTIVE VECTOR QUANTIZATION FOR REINFORCEMENT LEARNING

IFAC Proceedings Volumes, 2002
Abstract Dynamic programming methods are capable of solving reinforcement learning problems, in which an agent must improve its behavior through trial-and-error interactions with a dynamic environment. However, these computational algorithms suffer from the curse of dimensionality (Bellman, 1957) that the number of computational operations ...
Lee, SK, Mak, KL, Lau, HYK
openaire   +3 more sources