Results 81 to 90 of about 12,736 (188)

Skin Cancer Cell Detection using Image Processing

International Journal of Pioneering Technology and Engineering
Early diagnosis and precise detection of skin cancer represent a global health priority since this disease remains highly dangerous while being among the most frequent ones.
Taskin Sabit, Faiza Tasnim, Sadia Afrin Sara, Sharia Tasnim Adrita, Maisha Tarannum   +4 more
doaj   +1 more source

Classification of Dog Emotion Using Transfer Learning on Convolutional Neural Network Algorithm

Paradigma
Recognizing your pet's emotions are very important to improve health, welfare and to detect certain diseases in the animal. The emotions in question are categorized into four categories, namely anger, happiness, calmness, and sadness.
Steven Tribethran, Nicolas Jacky Pratama Hasan, Abdul Rahman   +2 more
doaj   +1 more source

Identifikasi varietas anggur menggunakan model CNN - VGG16

Journal Of Technology and Information System (J-TIS)
Vitis vinifera atau anggur adalah tanaman buah yang memiliki berbagai jenis varietas, berdasarkan data Vitis International Variety Catalogue (VIVC) terdapat 23.000 varietas anggur, secara fisik kita dapat mengenali varietas anggur dengan buah dan daun.
openaire   +1 more source

Analyzing the impact of transfer learning on explanation accuracy in deep learning-based ECG recognition systems

Open Engineering
Electrocardiogram (ECG) recognition systems now play a leading role in the early detection of cardiovascular diseases. However, the explanation of judgments made by deep learning models in these systems is prominent for clinical acceptance.
Khorsheed May Sadiq, Karim AbdulAmir Abdullah   +1 more
doaj   +1 more source

Hybrid deep learning with a random forest system for sustainable agricultural land cover classification using DEM in Najran, Saudi Arabia

Open Geosciences
Sustainable agriculture depends heavily on precise LULC classification to support soil conservation, water resource planning, and environmentally conscious land use.
Halawani Hanan T., Alshari Eman A., Asiri Yousef, Senan Ebrahim Mohammed, Mashraqi Aisha M., Almoaina Osama A.   +5 more
doaj   +1 more source

Enhanced VGG16 Model for Kidney Tumor Classification

Background/Objectives: The timely identification of renal malignancies, particularly the accurate categorization of neoplastic subtypes, poses significant diagnostic challenges. Traditional techniques such as manual diagnosis and histopathological analysis are re-source-intensive, prone to inter-observer variability, and often lack scalability ...
M. Ahmet Demirtaş, A. Burak İnner, Adnan Kavak   +2 more
openaire   +1 more source

A Comparative Study of Three Pre-trained Convolutional Neural Networks in the Detection of Violence Against Women

Ciencia Ergo Sum
Se presenta una comparación de rendimiento entre tres modelos de redes CNN preentrenadas (VGG16, ResNet50 y MobileNet) en la detección en video de violencia física contra la mujer.
Ivan Gaytán Aguilar, Alejandro Aguilar Contreras, Roberto Alejo Eleuterio, Eréndira Rendón Lara, Grisel Miranda Piña, Everardo E. Granda Gutiérrez   +5 more
doaj  

Investigating discrepancies in accuracy, agreement and interpretability for single-frame embryo classification tasks conducted by embryologists and deep learning models. [PDF]

Front Reprod Health
Kakulavarapu R, Delbarre E, Sharma A, Jahanlu D, Riegler MA, Haugen TB, Iliceto M, Stensen MH.   +7 more
europepmc   +1 more source

A Trustable Spine Abnormalities Classification System Using ResNet50 and VGG16 Supported by Explainable Artificial Intelligence. [PDF]

Biomimetics (Basel)
Ahmad MSZ, Ab Aziz NA, Lim HS, Ghazali AK, Ahmad M, Amirabdollahian F, Latiff AA, Ab Aziz K.   +7 more
europepmc   +1 more source

Deep learning-based classification of nitrate and nitrite concentrations from water samples using colorimetric test strip images. [PDF]

Environ Monit Assess
Roman M, Sher M, Kuruppuarachchi C, Ali A, Pack C, Zahid A, Nafchi AM.   +6 more
europepmc   +1 more source