Results 71 to 80 of about 12,701 (190)

A Domain‐Specific Vision Foundation Model for Mars: Self‐Supervised Learning for Planetary‐Scale Science Discovery

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Planetary missions have produced a rapidly growing archive of high‐resolution imagery, yet only a small fraction has been examined in detail. Foundation models (FMs) offer a scalable path by learning transferable representations from unlabeled data, but most vision backbones are trained on Internet imagery or Earth observation data sets that ...
J. Fang, W. Luo, Q. Huang, L. Zhang, M. S. Phillips, V. D. R. Seethi, I. Giannakis   +6 more
wiley   +1 more source

Classification of Diabetic Retinopathy Based on Fundus Image Using InceptionV3

JOIV: International Journal on Informatics Visualization
Diabetic Retinopathy (DR) is a progressive eye condition that can lead to blindness, particularly affecting individuals with diabetes. It is commonly diagnosed through the examination of digital retinal images, with fundus photography being recognized as
Agus Eko Minarno, Andhika Dwija Bagaskara, Fitri Bimantoro, Wildan Suharso   +3 more
doaj   +1 more source

Apple tree disease detection using VGG16 & Inceptionv3

, 2023
Abstract In recent years, the term 'Precision agriculture' has gained tremendous attention due to its ability to improve crop yield while reducing its cost. This can be achieved by applying modern Machine learning and Computer vision techniques.
Shardul Jeurkar, Tanmay Devare, Karan Borkar   +2 more
openaire   +1 more source

Enhanced Bird Species Image Recognition and Classification using MobileNet and InceptionV3 Transfer learning Architectures

ELCVIA Electronic Letters on Computer Vision and Image Analysis
The proposed study explores the application of transfer learning techniques in bird species image classification, specifically focusing on the MobileNet and InceptionV3 models.
Sakthi Priya G, Vignesh Saravanan K, Dheetchana K   +2 more
doaj   +1 more source

Enhancing Anomaly Detection Performance: Deep Learning Models Evaluation

International Islamic University Malaysia Engineering Journal
Detection of anomalies within video streams continues to be challenging, mostly due to the complexities involved in distinguishing abnormal activities from normal ones.
Yunusa Mohammed Jeddah, Aisha Hassan Abdalla Hashim, Othman Omran Khalifa, Khmaies Ouhada   +3 more
doaj   +1 more source

Recognition of Alzheimer’s Disease stages via InceptionV3 and ResNet50

Mesopotamian Journal of Big Data
Early and precise detection of Alzheimer’s disease (AD) is essential for successful treatment. This research presents a system that autonomously detects and categorizes the phases of Alzheimer’s disease via brain scans and sophisticated deep learning techniques, including InceptionV3 and ResNet50.
Iman Aljubouri, Mostafa Ragheb, Mohamad Hamady   +2 more
openaire   +1 more source

Transfer learning: classifying balanced and imbalanced fungus images using inceptionV3

Computer Science and Information Technologies
Identifying the genus of fungi is known to facilitate the discovery of new medicinal compounds. Currently, the isolation and identification process is predominantly conducted in the laboratory using molecular samples. However, mastering this process requires specific skills, making it a challenging task.
Muhamad Rodhi Supriyadi, Muhammad Reza Alfin, Aulia Haritsuddin Karisma, Bayu Rizky Maulana, Josua Geovani Pinem   +4 more
openaire   +1 more source

Improved Lung Disease Classification Using Bagging and Averaged Ensemble Models

JISA (Jurnal Informatika dan Sains)
One of the essential medical imaging tasks for early diagnosis and treatment planning is categorizing lung diseases from chest X-ray (CXR) images. This work constructs a strong ensemble learning platform on a variety of deep models for boosting diagnosis
Hana Ali Tayib, Azar Abid Salih
doaj   +1 more source

KLASIFIKASI BUNGA HERBAL MENGGUNAKAN MODEL INCEPTIONV3 DAN VISION TRANSFORMER

JATI (Jurnal Mahasiswa Teknik Informatika)
Bunga merupakan bagian penting dari tumbuhan yang memiliki berbagai manfaat medis. Namun, beberapa jenis bunga memiliki kemiripan dalam bentuk dan warna, sehingga sulit diklasifikasikan secara manual. Kesulitan dalam membedakan spesies yang mirip menjadi tantangan utama dalam klasifikasi otomatis, sehingga diperlukan model yang dapat menangkap ...
Diaz Prisheila Dharmawan, Eva Yulia Puspaningrum, Afina Lina Nurlaili   +2 more
openaire   +1 more source

Assessing deep learning model robustness for banana ripeness classification under varying illumination conditions

Smart Agricultural Technology
The classification of banana ripeness is critical for the external assessment of fruit quality in automated inspection systems. This study investigates the robustness of deep learning models under varying illumination conditions, utilizing a dataset of ...
Luis E. Chuquimarca, Boris X. Vintimilla, Sergio A. Velastin   +2 more
doaj   +1 more source