[HTML][HTML] Convolutional neural networks and Internet of Things for fault detection by aerial monitoring of photovoltaic solar plants
IS Ramírez, FPG Márquez, JP Chaparro - Measurement, 2024 - Elsevier
Aerial thermographic inspection is performed with thermal cameras embedded in unmanned
aerial vehicles, being one of the most relevant monitoring techniques for photovoltaic …
aerial vehicles, being one of the most relevant monitoring techniques for photovoltaic …
Hyperparameter Tuning of Identity Block Uses an Imbalance Dataset with Hyperband Method
AR Manga, MAF Latief, AWM Gaffar… - 2024 18th …, 2024 - ieeexplore.ieee.org
Visual pattern recognition, selection of appropriate image processing techniques, and
network architecture are key factors in achieving optimal model performance. This article …
network architecture are key factors in achieving optimal model performance. This article …
Reducing Training Time in Skin Cancer Classification Using Convolutional Neural Network with Mixed Precision Implementation
RR Guntara, I Syawanodya - Jurnal RESTI (Rekayasa Sistem dan …, 2024 - jurnal.iaii.or.id
In the field of skin cancer classification, machine learning and deep learning have been
extensively utilized, particularly with convolutional neural network (CNN) architectures …
extensively utilized, particularly with convolutional neural network (CNN) architectures …
Perbandingan Kinerja Model Pre-Trained CNN (VGG16, RESNET, dan INCEPTIONV3) untuk Aplikasi Pengenalan Wajah pada Sistem Absensi Karyawan
MK Insani, DB Santoso - Jurnal Indonesia: Manajemen …, 2024 - journal.stmiki.ac.id
Pengenalan wajah telah menjadi teknologi kunci dalam meningkatkan efisiensi dan
keamanan sistem absensi karyawan modern. Studi ini membandingkan kinerja tiga model …
keamanan sistem absensi karyawan modern. Studi ini membandingkan kinerja tiga model …
Pengenalan Sistem Isyarat Bahasa Indonesia (SIBI) Menggunakan Arsitektur Mobilenet
A Rudiyanto - Jurnal Repositor, 2024 - ejournal.umm.ac.id
Abstract Sistem Isyarat Bahasa Indonesia atau lebih dikenal dengan SIBI merupakan
Bahasa resmi yang digunakan penyandang tuli dalam berkomunikasi. Namun …
Bahasa resmi yang digunakan penyandang tuli dalam berkomunikasi. Namun …
An Ensemble Novel Deep Learning Technique for Chest Radiograph-Based Pneumonia Prediction
J PREMALATHA, D KAYETHRI - 2023 - researchsquare.com
Pneumonia continues to be a prominent treatable cause of global mortality, stressing the
importance of early identification to enable prompt intervention. Chest X-rays (CXRs) are an …
importance of early identification to enable prompt intervention. Chest X-rays (CXRs) are an …
Identifikasi Kematangan Buah Menggunakan Teknik Deep Learning
BH Situmorang - KILAT, 2024 - jurnalitpln.id
Banyak studi penelitian terkini telah mengeksplorasi penerapan teknik deep learning untuk
deteksi, identifikasi, segmentasi, dan klasifikasi buah. Dengan penggunaan arsitektur model …
deteksi, identifikasi, segmentasi, dan klasifikasi buah. Dengan penggunaan arsitektur model …
Comparativa de Modelos basados en redes neuronales convolucionales: ResNet-50V2, MobileNetV2 e EfficientNetB0 en la detección de Malaria
A Meza-Bautista, LE Ñahui-Vargas… - Micaela Revista de …, 2024 - revistas.unamba.edu.pe
La malaria continúa siendo una de las principales causas de mortalidad a nivel mundial,
afectando especialmente a las poblaciones más vulnerables. El diagnóstico tradicional de …
afectando especialmente a las poblaciones más vulnerables. El diagnóstico tradicional de …
[PDF][PDF] Advances in Pneumonia Detection: A Comprehensive Investigation of Federated Learning and Deep Learning-Based Approaches
B Duan - scitepress.org
In the realm of healthcare, federated learning (FL) emerges as a promising solution to
address the challenges of data silos and privacy concerns in medical diagnosis. This paper …
address the challenges of data silos and privacy concerns in medical diagnosis. This paper …