Results 51 to 60 of about 12,736 (188)
Deep Learning Algorithms and Optimizers: Enhancing the Evaluation of Signature Authenticity
Given the rapid technological advancements, security has become an essential human need that must be addressed. For example, a signature, which serves as a unique identifier or mark on a document, is vital in verifying and legalizing its contents.
Abdul Haris Rangkuti +3 more
doaj +1 more source
An Evaluation of VGG16 Binary Classifier Deep Neural Network for Noise and Blur Corrupted Images
Deep learning networks has become an important tool for image classification applications. Distortions on images may cause the performance of a classifier to decrease significantly.
Devrim Akgün
doaj +1 more source
Endodontic Complexity: A Scoping Review of Case Difficulty Assessment Tools and Indices
ABSTRACT Background Endodontic treatment varies in complexity, and accurate assessment of case difficulty is essential for clinical success, guiding referrals, and enhancing patient safety, particularly amongst general dental practitioners (GDPs). Objective This scoping review aimed to identify and appraise the available tools and indices developed to ...
Galvin S. S. Lin +5 more
wiley +1 more source
Artificial Intelligence in Periodontology: A Systematic Review
AI shows promise across periodontology, with deep learning achieving strong performance for image‐based diagnosis of periodontitis. However, limited data diversity, inconsistent metrics, and scarce external validation raise concerns about generalizability and clinical applicability.
Antonin Tichy +7 more
wiley +1 more source
Lithium-Ion Battery Life Prediction Using Deep Transfer Learning
Lithium-ion batteries are critical components of various advanced devices, including electric vehicles, drones, and medical equipment. However, their performance degrades over time, and unexpected failures or discharges can lead to abrupt operational ...
Wen Zhang +6 more
doaj +1 more source
Osteoporosis Prediction Using VGG16 and ResNet50
Low bone mass and structural degradation are the hallmarks of osteoporosis, a disorder that increases the risk of fractures, especially in the elderly. For prompt intervention and fracture prevention, early identification is essential. However, osteoporosis is frequently not detected until advanced stages by existing diagnostic techniques.
Ashadu Jaman Shawon +3 more
openaire +1 more source
This study developed an automated distal radius fracture classification system based on statistical shape model (SSM) feature extraction and neural network classification. The method first extracts point cloud data from CT images, then extracts fracture features through registration, downsampling, and PCA dimensionality reduction, before inputting them
Xing‐bo Cai +12 more
wiley +1 more source
Background: Parkinson’s disease (PD) is a degenerative condition of the central nervous system primarily affecting the substantia nigra in the brain, resulting in the loss of dopamine-producing neurons and subsequent motor function deterioration.
M. Mahendran, R. Visalakshi
doaj +1 more source
ABSTRACT Quinoa is a grain crop with excellent nutritional properties that has attracted global attention for its potential contribution to future food security in a changing climate. Despite its long history of cultivation, quinoa has been improved little by modern breeding and is a niche crop outside its native cultivation area.
Flavio Lozano‐Isla +3 more
wiley +1 more source
CNN-ENABLED DETECTION SYSTEM FOR AGRICULTURAL ANOMALY ANTICIPATION [PDF]
Artificial intelligence is a rapidly developing field today. One of its different applications is object acknowledgment, utilizing PC vision. The advancements in Deep Learning (DL) techniques have made it possible to quickly identify, localize, and ...
Sandeep Kumar +4 more
doaj +1 more source

