Results 101 to 110 of about 61,624 (324)
Penerapan Learning Vector Quantization (LVQ) untuk Klasifikasi Status Gizi Anak
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2013 Abstrak Penentuan klasifikasi status gizi anak yang sering dilakukan adalah berdasarkan indeks berat badan menurut tinggi badan (BB/TB). Pada Puskesmas Batupanjang, indeks antropometri tersebut dihitung secara manual untuk menilai status gizi anak ...
Elvia Budianita, Widodo Prijodiprodjo
doaj +1 more source
Electroencephalography (EEG) eye state classification using learning vector quantization and bagged trees. [PDF]
Heliyon, 2023 Nilashi M +7 more
europepmc +1 more source
Matrix Learning in Learning Vector Quantization
, 2006 We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ), an efficient prototype-based classification algorithm. By introducing a full matrix of relevance factors in the distance measure, correlations between different features and their importance for the classification scheme can be taken into ...
Biehl, M. +2 more
openaire +4 more sources
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Energy Science &Engineering, EarlyView.Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
Energy Science &Engineering, EarlyView.The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe +3 more
wiley +1 more source
Deep Learning Integration in Optical Microscopy: Advancements and Applications
Microscopy Research and Technique, EarlyView.It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2017 Proses pemilihan tomat yang dilakukan manusia relatif kurang konsisten untuk menentukan tomat yang matang dan belum matang. Hal ini disebabkan beberapa faktor seperti kelelahan manusia, keragaman visual, dan perbedaan persepsi setiap manusia.
Mochamad Angga Anggriawan +2 more
doaj +1 more source
Journal of the Society for Information Display, EarlyView.Modern AI systems can now synthesize coherent multimedia experiences, generating video and audio directly from text prompts. These unified frameworks represent a rapid shift toward controllable and synchronized content creation. From early neural architectures to transformer and diffusion paradigms, this paper contextualizes the ongoing evolution of ...
Charles Ding, Rohan Bhowmik
wiley +1 more source
Energies, 2012 Driving patterns exert an important influence on the fuel economy of vehicles, especially hybrid electric vehicles. This paper aims to build a method to identify driving patterns with enough accuracy and less sampling time compared than other driving ...
Xiaowei Zhang, Chao Sun, Hongwen He
doaj +1 more source
Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences. [PDF]
Neural Comput Appl, 2022 Kaden M +6 more
europepmc +1 more source