Results 71 to 80 of about 12,736 (188)

Image Classification of Rice Leaf Diseases with KNN Based Model using Stratified-KCV

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Rice is a staple food for people in the world, especially Indonesia. The rice harvest decreased in 2023, reducing harvest productivity and causing losses for farmers. Rice cultivation is often affected by diseases that hinder rice harvests.
Tasya Anisah Rizqi, Anwar Fitrianto, Kusman Sadik   +2 more
doaj   +1 more source

Early Skin Cancer Detection Using the SLICE-3D Dataset: A Transfer Learning Model and DCGAN Approach to Address Data Imbalance

Cybernetics and Information Technologies
Early detection of skin cancer is crucial for improving patient outcomes, as the disease progresses rapidly when left untreated. Recent advancements in artificial intelligence have revolutionized the field of early detection, giving clinicians more ...
Mecifi Youssera Z., Merzoug Mohamed, Etchiali Abdelhak, M’hamedi Mohamed, Hadjila Fethallah, Bekkouche Amina   +5 more
doaj   +1 more source

Corrugation and Squat Classification and Detection with VGG16 and YOLOv5 Neural Network Models

JOIV: International Journal on Informatics Visualization
Railway track defects in Malaysia pose significant risks of train derailments and accidents, underscoring the urgency for early and accurate defect detection and classification.
Muhammad Syukri Mohd Yazed, Mohd Amin Mohd Yunus, Ezak Fadzrin Ahmad Shaubari, Nor Aziati Abdul Hamid, Azmale Amzah, Zulhelmi Md Ali   +5 more
doaj   +1 more source

Pruning Point Recognition and Localization for Spindle-Shaped Apple Trees During Dormant Season Using an Improved U-Net Model

智慧农业
[Objective]To address the current issues of intelligent pruning robots, such as insufficient recognition accuracy of fruit tree branches and inaccurate localization of pruning points in complex field environments, a deep learning method based on the ...
LIU Long, WANG Ning, WANG Jiacheng, CAO Yuheng, ZHANG Kai, KANG Feng, WANG Yaxiong   +6 more
doaj   +1 more source

Performance Comparison of VGG16 and VGG19 Architectures for Corn Leaf Disease Classification

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Corn (Zea Mays L.) faces challenges from leaf diseases, which become severe when farmers lack the expertise to recognize and manage them. This study presents a comparative analysis of VGG16 and VGG19 architectures for detecting corn leaf diseases ...
Nofitasari Dwi Rezeki, Zein Hanni Pradana, Muhammad Panji Kusuma Praja   +2 more
doaj   +1 more source

Hand wash Hygiene Monitoring during COVID-19 using Deep Learning Approach [PDF]

Athens Journal of Health and Medical Sciences
Hand washing has been considered one of the most important procedures to combat COVID-19 situation. In this research, the Visual Geometry Group16 (VGG16) machine learning model architecture has been applied in order to monitor hand hygiene procedure ...
Muhammad Bin Abubakr Joolfoo, Mussawir Ahmad Hosany   +1 more
doaj   +1 more source

Performance Comparison of ResNet50, VGG16, and MobileNetV2 for Brain Tumor Classification on MRI Images

Sistemasi: Jurnal Sistem Informasi
Brain tumor classification using MRI images is a significant challenge in medical diagnosis, requiring models with high accuracy and efficient training.
Muhammad Bayu Kurniawan, Ema Utami
doaj   +1 more source

Skin Disease Detection Using VGG16 and InceptionV3

International Journal of Intelligent Systems and Applications in Engineering, 2023
Accurate diagnosis and timely treatment of skin diseases present formidable challenges, posing potential health risks to individuals affected. This research paper delves into an extensive exploration of skin disease detection employing two renowned deep learning architectures: VGG16 and InceptionV3.
Sayyad, Jilani, Patil, Prashant, Gurav, Shashidhar   +2 more
openaire   +1 more source

Classification of Animal Behaviour Using Deep Learning Models

Advances in Distributed Computing and Artificial Intelligence Journal
Damage to crops by animal intrusion is one of the biggest threats to crop yield. People who stay near forest areas face a major issue with animals. The most significant task in deep learning is animal behaviour classification. This article focuses on the
M. Sowmya, M. Balasubramanian, K. Vaidehi   +2 more
doaj   +1 more source

Sistema de Diagnostico del Alzheimer basado en imágenes de resonancia magnética mediante el algoritmo VGG16

Latin-American Journal of Computing
El diagnóstico temprano del Alzheimer es fundamental para brindar un tratamiento oportuno a los pacientes. En este sentido se ha desarrollado un sistema de diagnóstico del Alzheimer basado en imágenes de resonancia magnética que utiliza un algoritmo de ...
Werner Shtaniklao Ucañay Barreto, Marco Antonio Coral Ygnacio   +1 more
doaj