Results 41 to 50 of about 6,287 (187)

Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models

Clinical Anatomy, EarlyView.
ABSTRACT The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior–inferior and right–left ...
Yusuf Secgin, Muhammet Cakmak, Deniz Senol, Seren Kaya, Oğuzhan Oztürk, Oğuzhan Harmandaoğlu, Hatice Yenigül, Eslem Yaren Bıyık, Omer Onbaş   +8 more
wiley   +1 more source

Identification method of abrasive belt types and particle size based on improved G-MobileNetV2

Jin'gangshi yu moliao moju gongcheng
ObjectivesAs a critical tool in grinding and polishing processes, the selection of abrasive belt types and grit sizes significantly impacts the material removal rates and processing quality.
Linhai WANG, Fengjie TIAN, Guang ZHU, Tao ZHANG, Ze XU   +4 more
doaj   +1 more source

Puppet Dynasty Recognition System Based on MobileNetV2

Entropy
Traditional image classification usually relies on manual feature extraction; however, with the rapid development of artificial intelligence and intelligent vision technology, deep learning models such as CNNs can automatically extract key features from input images to achieve efficient classification.
Xiaona Xie, Zeqian Liu, Yuanshuai Wang, Haoyue Fu, Mengqi Liu, Yingqin Zhang, Jinbo Xu   +6 more
openaire   +3 more sources

Multi-Class Classification of Rice Leaf Diseases Using MobileNetV2 Architecture with Transfer Learning

Journal of Applied Informatics and Computing
Rice leaf diseases are a major cause of yield loss and remain a persistent challenge in agriculture. Conventional diagnosis through visual inspection is subjective and time-consuming, necessitating an accurate and efficient automated system for early ...
Muhammad Bisri Mustofa, Muhammad Arifin, Shofiatuz Zulfia   +2 more
doaj   +1 more source

HAND GESTURE RECOGNITION USING MobileNetV2 [PDF]

Universum:Technical sciences, 2021
Mirshod Makhmudov, Dilbarkhon Fazilova
openaire   +1 more source

Textile and colour defect detection using deep learning methods

Coloration Technology, EarlyView.
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui, Abdel‐Fattah Seyam, Renzo Shamey   +2 more
wiley   +1 more source

Analysis of the Impact of Image Brightness Normalization on the Accuracy of Apple Leaf Disease Classification

Journal of Applied Informatics and Computing
Apple crops represent an economically important horticultural sector, yet it faces vulnerabilities from various leaf diseases, including Apple Scab, Cedar Rust, and Black Rot. Translate .
Nurlina Ambon, Yufis Azhar
doaj   +1 more source

Artificial Intelligence in the Detection of Clinically Negotiable Second Mesio‐Buccal Canals in Periapical Images of Maxillary Molars

International Endodontic Journal, EarlyView.
ABSTRACT Aim Artificial intelligence (AI) has the potential to aid clinicians in assessing case difficulty in endodontics. The objectives of this study were to develop and validate deep learning models for the detection of clinically negotiable MB2 canals in periapical images of maxillary first and second molars, and to compare the performance of AI ...
Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Jane Lee, Noreen Ramzy, Alan S. Law, Ernest W. N. Lam, Asma Ahmed Khan, Ali Nosrat   +8 more
wiley   +1 more source

Improving Tomato Ripeness Classification Using Knowledge Distillation and Hyperparameter Optimization with Optuna

Journal of Electrical Engineering and Computer
Automatic classification of tomato ripeness plays a crucial role in ensuring post-harvest quality and efficiency in the horticultural industry. This study proposes a combined strategy of Knowledge Distillation (KD) and hyperparameter optimization using ...
Iasya Sholihin, Andi Sunyoto
doaj   +1 more source

Privacy-Preserving and Collaborative Federated Learning Model for the Detection of Ocular Diseases [PDF]

International Journal of Mathematical, Engineering and Management Sciences
Ocular diseases significantly impact the health of the public globally. According to the World Health Organization (WHO) reports, at least 1 billion people suffer from near or distance vision impairment that could have been prevented or has yet to be ...
Seema Gulati, Kalpna Guleria, Nitin Goyal   +2 more
doaj   +1 more source