Results 1 to 10 of about 5,255 (193)

Research on grape leaf classification based on optimized densenet201 model. [PDF]

open access: yesPLoS ONE
In the realm of plant classification, the classification of grape leaf varieties has long presented a complex challenge. Aiming to enhance the accuracy and generalization ability of grape leaf variety classification, this study proposes a novel approach ...
Jian Huang
doaj   +4 more sources

Model Deteksi Kebakaran Hutan dan Lahan Menggunakan Transfer Learning DenseNet201 [PDF]

open access: yesJournal of Intelligent System and Computation, 2023
Kebakaran hutan dan lahan di Indonesia merupakan peristiwa yang sering terjadi dan menimbulkan kerugian yang signifikan dalam bidang kesehatan, ekologi, dan sosial. Faktor manusia dan alam berperan dalam memicu terjadinya kebakaran ini. Namun, penanganan
Adhinata, Faisal Dharma   +1 more
core   +6 more sources

Clothing Image Classification with DenseNet201 Network and Optimized Regularized Random Vector Functional Link

open access: yesJournal of Natural Fibers, 2023
To ameliorate the precision of clothing image classification, we proposed a clothing image classification method via the DenseNet201 network based on transfer learning and the optimized regularized random vector functional link (RVFL). First, the formula
Zhiyu Zhou
exaly   +2 more sources

Dermoscopy Image Classification Based on StyleGAN and DenseNet201

open access: yesIEEE Access, 2021
Melanoma is considered one of the most lethal skin cancers. However, skin lesion classification based on deep learning diagnostic techniques is a challenging task owing to the insufficiency of labeled skin lesion images and intraclass-imbalanced datasets.
Chen Zhao   +5 more
doaj   +2 more sources

A Hybrid DenseNet201-SVM for Robust Weed and Potato Plant Classification [PDF]

open access: yesJurnal Ilmiah Teknik Elektro Komputer dan Informatika, 2022
Potato plant growth needs to be protected from weeds that grow around it. Currently, the manual spraying of pesticides by farmers is not only precise on weeds but also on cultivated plants.
Adhinata, Faisal Dharma   +3 more
core   +3 more sources

A Comparative Analysis of Deep Learning Models for Knee Osteoarthritis Severity Grading [PDF]

open access: yesTechno.Com
The Kellgren-Lawrence (KL) grading system is commonly used to evaluate knee osteoarthritis (OA), but it can be subjective and subject to variation among assessors.
Steffany Florence Sugiarto Mulijono   +1 more
doaj   +3 more sources

Klasifikasi Jenis Penyakit Tanaman Cabai Menggunakan Arsitektur DenseNet201

open access: yesSINTECH (Science and Information Technology) Journal
Tanaman cabai merupakan komoditas penting di Indonesia dengan nilai ekonomi yang signifikan. Namun, produksi cabai sering kali terganggu oleh berbagai penyakit yang dapat menurunkan hasil panen dan menyebabkan kerugian ekonomi bagi petani.
Naninda Uswatun Khasanah   +1 more
doaj   +2 more sources

TOMATO DISEASE DETECTION MODEL BASED ON DENSENET AND TRANSFER LEARNING [PDF]

open access: yesApplied Computer Science, 2022
Plant diseases are a foremost risk to the safety of food. They have the potential to significantly reduce agricultural products quality and quantity. In agriculture sectors, it is the most prominent challenge to recognize plant diseases.
Mahmoud BAKR   +3 more
doaj   +5 more sources

An attention-based transfer learning model for diagnosing subluxation in temporomandibular joint panoramic radiographs [PDF]

open access: yesScientific Reports
Artificial intelligence (AI) and deep learning (DL) techniques have great potential to accelerate diagnostic processes, increase accuracy, and support clinical decision-making in healthcare.
Yasin Sancar   +4 more
doaj   +2 more sources

Intelligent classification of maize straw types from UAV remote sensing images using DenseNet201 deep transfer learning algorithm

open access: yesEcological Indicators
China has abundant straw resources, but challenges in utilization persist. Utilization rates need improvement, and environmental pollution from straw burning remains a significant issue.
, Xiaohe Gu, Lin Guo
exaly   +3 more sources

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