CNN Model for the Small Data in Vehicle Miniature Classification

MF Al Hakim, B Prasetiyo… - 2023 1st International …, 2023 - ieeexplore.ieee.org
Convolutional Neural Network (CNN) becomes the robust deep learning model for image
classification. It has many configurations applied to achieve the best performance. A high …

Lepidoptera Classification Using Convolutional Neural Network EfficientNet-B0

H Syamsudin, S Khalidah… - Indonesian Journal of …, 2023 - ejournal.uin-suska.ac.id
Butterflies and moths are insects that have many different species. Butterflies and moths
have considerable aesthetic, ecosystem, health, economic, health, and scientific values …

CNN-ML Stacking for better Classification of Rice Leaf Diseases

MF Al Hakim, B Prasetiyo - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Rice is still a very important commodity for society at large. For the people of Indonesia, rice
is the main source of staple food every day. Rice disease is one of the things that needs to …

[PDF][PDF] Optimizing Support Vector Machine Performance for Parkinson's Disease Diagnosis Using GridSearchCV and PCA-Based Feature Extraction.

E Sugiharti, R Arifudin, B Prasetiyo… - Journal of Information …, 2024 - e-journal.unair.ac.id
Background: Parkinson's disease (PD) is a critical neurodegenerative disorder affecting the
central nervous system and often causing impaired movement and cognitive function in …

Classification of crown density and foliage transparency scale for broadleaf tree using VGG-16

NA Octarina, R Andrian, R Safei - Journal of Soft Computing …, 2023 - shmpublisher.com
Crown density and foliage transparency are important parameters for tree crown conditions.
Previously, observers carried out crown density and foliage transparency assessments …

ChatGPT's performance evaluation for annotating multi-label text in Indonesian language

M Hakim, B Prasetiyo - AIP Conference Proceedings, 2024 - pubs.aip.org
The high need for artificial intelligence applications in all fields impacts the appropriate
dataset for building a good machine. Labeling datasets becomes one of the main tasks …

Penerapan Model Hibrida CNN-GRU-BiLSTM-PCA Untuk Meningkatkan Akurasi Deteksi Serangan Jaringan Pada Intrusion Detection System

MI Yoshanda, A Alamsyah - Indonesian Journal of Mathematics …, 2023 - journal.unnes.ac.id
Intrusion detection system merupakan teknik pertahanan yang populer terhadap serangan
siber. Berdasarkan metode pendeteksiannya dapat dibedakan menjadi signatured-based …

Detection of Indonesian Sign Language System using Convolutional Neural Network (CNN) with Nadam Optimizer

A Alamsyah, DA Anggraeni - Proceedings of the International …, 2024 - books.google.com
This study enhances sign language detection by utilizing a Convolutional Neural Network
(CNN) modified with the Nadam optimizer, resulting in improved accuracy in recognizing …

Uniform Sampling Method with Optimized VLSI Circuit for Data Augmentation in Pixel Detector

Y Avanija, Y Chandana, M Hemalatha… - Journal of Electronics …, 2024 - fringeglobal.com
The Uniform Sampling Method combined with an optimized VLSI circuit offers an efficient
approach to data augmentation in pixel detectors. This method ensures uniform coverage of …