Results 21 to 30 of about 6,287 (187)

Classification of Real and Fake Images Using Error Level Analysis Technique and MobileNetV2 Architecture

Jurnal Masyarakat Informatika
Advancements in technology have made image forgery increasingly difficult to detect, raising the risk of misinformation on social media. To address this issue, Error Level Analysis (ELA) feature extraction can be utilized to detect error level variations
Muhamad Nur Baihaqi, Aris Sugiharto, Henri Tantyoko   +2 more
doaj   +1 more source

Rice Leaf Disease Classification—A Comparative Approach Using Convolutional Neural Network (CNN), Cascading Autoencoder with Attention Residual U-Net (CAAR-U-Net), and MobileNet-V2 Architectures

Technologies
Classifying rice leaf diseases in agricultural technology helps to maintain crop health and to ensure a good yield. In this work, deep learning algorithms were, therefore, employed for the identification and classification of rice leaf diseases from ...
Monoronjon Dutta, Md Rashedul Islam Sujan, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj   +6 more
doaj   +1 more source

Dimensionality Reduction and Classification of Dermatological Images using PCA and Machine Learning [PDF]

EPJ Web of Conferences
Skin diseases pose grave diagnosis issues since they are highly similar among classes and have varied patterns over the various skin colors, particularly in Indian subjects. The current work proposes a mixed strategy using transfer learning-based feature
Surwadkar Tushar, Deshmukh Sujata
doaj   +1 more source

Hybrid Deep Learning Model–Based Prediction of Images Related to Cyberbullying

International Journal of Applied Mathematics and Computer Science, 2022
Cyberbullying has become more widespread as a result of the common use of social media, particularly among teenagers and young people. A lack of studies on the types of advice and support available to victims of bullying has a negative impact on ...
Elmezain Mahmoud, Malki Amer, Gad Ibrahim, Atlam El-Sayed   +3 more
doaj   +1 more source

Turtle Dove Classification Using CNN Algorithm With MobileNetV2 Transfer Learning

Journal of Applied Informatics and Computing
This study aims to optimize the performance of a Convolutional Neural Network (CNN) model based on the MobileNetV2 architecture in classifying Java sparrow images by testing four main parameters: optimizer, learning rate, number of epochs, and batch size.
Muhammad Minanul Lathif, Sendi Novianto
doaj   +1 more source

Classification of Foot Wound Severity in Type 2 Diabetes Mellitus Patients Using MobileNetV2-Based Convolutional Neural Network

Journal of Applied Informatics and Computing
Diabetic Foot Ulcer (DFU) is a serious complication in Type 2 Diabetes Mellitus patients that may lead to amputation if not properly treated. This study employs the MobileNetV2 architecture based on Convolutional Neural Network (CNN) to classify DFU ...
Nurul Fitriah, Sriani Sriani
doaj   +1 more source

Road Recognition Method of Photovoltaic Plant Based on Improved DeepLabv3+

Shanghai Jiaotong Daxue xuebao
Aiming at the problem that mobile cleaning robot needs to identify road accurately and quickly when it operates in photovoltaic plants, a target recognition model of improved DeepLabv3+ to identify the roads within photovoltaic plants is proposed. First,
LI Cuiming, WANG Hua, XU Longer, WANG Long
doaj   +1 more source

Classification of Nutrient Deficiencies Based on Leaf Image in Hydroponic Lettuce using MobileNet Architecture

Jurnal Elkomika, 2023
ABSTRAK Saat ini sektor industri di Indonesia tumbuh semakin pesat yang menggeser lahan pertanian menjadi sempit. Hal tersebut mengakibatkan para petani perlu mencari lahan lain untuk tetap dapat memproduksi bahan pangannya.
ANYELIA ADIANGGIALI, INDRARINI DYAH IRAWATI, SUGONDO HADIYOSO, ROHAYA LATIP   +3 more
doaj   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Zero Watermarking Using Convolutional Additive Self‐Attention Vision Transformer and Discrete Wavelet Transform‐Variance‐Based Feature Descriptor for Medical Image Security in Mobile Healthcare Services

Advanced Intelligent Systems, EarlyView.
A zero‐watermarking algorithm that combines a refined convolutional additive self‐attention vision transformer (CAS‐ViT) with a discrete wavelet transform variance‐based feature descriptor (DVFD) is proposed for protecting the privacy of medical images in mobile healthcare services.
Pei Liu, Yan Yan, Hao Huang, Ping Wang, Weirong Qin, Xiangjian Zuo, Yongqin Li   +6 more
wiley   +1 more source