Results 41 to 50 of about 229,861 (318)
CNN Ensemble learning method for Transfer learning: A Review
Ilkom Jurnal Ilmiah, 2023 This study provides a review of CNN's ensemble learning method for transfer learning by highlighting sections such as review studies, datasets, pre-trained models, transfer learning, ensemble learning, and performance.
Yudha Islami Sulistya +2 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
AN OVERVIEW OF DEEP LEARNING TECHNIQUES FOR SHORT-TERM ELECTRICITY LOAD FORECASTING [PDF]
Applied Computer Science, 2019 This paper presents an overview of some Deep Learning (DL) techniques applicable to forecasting electricity consumptions, especially in the short-term horizon.
Saheed ADEWUYI +4 more
doaj +1 more source
Penerapan Convolutional Long Short-Term Memory untuk Klasifikasi Teks Berita Bahasa Indonesia
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2021 Klasifikasi teks saat ini telah menjadi sebuah bidang yang banyak diteliti, khususnya terkait Natural Language Processing (NLP). Terdapat banyak metode yang dapat dimanfaatkan untuk melakukan klasifikasi teks, salah satunya adalah metode deep learning ...
Yudi Widhiyasana +3 more
doaj +1 more source
Subtractor-Based CNN Inference Accelerator
, 2022 This paper presents a novel method to boost the performance of CNN inference accelerators utilizing subtractors. The proposed CNN preprocessing accelerator relies on sorting, grouping, and rounding the weights in order to create combinations that allow ...
Gao, Xiaohang
core
Advanced Engineering Materials, EarlyView.This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source
JOIN: Jurnal Online InformatikaThe manual and time-consuming nature of current agronomic technology monitoring of fertilizer and irrigation requirements, the possibility of overusing fertilizer and water, the size of cassava plantations, and the scarcity of human resources are among ...
Ahmad Chusyairi +3 more
doaj +1 more source
Modeling of Convolutional Neural Network Architecture for Recognizing The Pandava Mask
Inform: Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi, 2020 This research was conducted to observe the use of architectural model Convolutional Neural Networks (CNN) LeNEt, which was suitable to use for Pandava mask objects.
Andi Sanjaya +2 more
doaj +1 more source
CNN-based left ventricle segmentation results.
, 2023 This figure shows the traced outline of various segmentations within coronal slices of the inputs for the two CNNs. We have included both the diastolic and systolic phases to illustrate the performance across different phases of the heart.
Alex J. Allphin (17102503) +8 more
core +1 more source
Advanced Functional Materials, EarlyView.ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak +19 more
wiley +1 more source