Results 71 to 80 of about 14,783 (197)
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
Machine Vision–Based Insect Recognition in Agriculture: A Comprehensive Review
This study explores machine vision for automated insect recognition in agriculture, leveraging deep learning and IoT integration. The review highlights real‐time pest detection methods, enhancing crop protection with minimal pesticide use. Comparative analysis of classifiers provides insights into performance and future advancements in sustainable ...
Mohammad Monirul Islam +4 more
wiley +1 more source
Handwriting-Based Alzheimer’s Disease Detection Using VGG-19
Alzheimer’s disease is a progressive neurological disorder that impairs cognitive function and daily activities. Conventional diagnostic methods are often invasive, costly, and reliant on specialized clinical facilities, limiting their suitability for ...
Nicholas Wilyanto, Derry Alamsyah
doaj +1 more source
This study presents a hybrid real‐time weapon detection system combining lightweight image classification (NASNetMobile) with precise object localization (YOLOv8n), optimizing performance and computational efficiency. The proposed pipeline enables scalable, accurate threat detection in surveillance systems, advancing security in resource‐constrained ...
Ashiful Nahar Bithi +9 more
wiley +1 more source
This work presents transfer learning models for robust vehicle identification across varying weather conditions. By leveraging deep learning techniques, the study enhances recognition accuracy, ensuring consistent performance in adverse environments. The findings contribute to intelligent transportation systems and automated surveillance applications ...
Agha Asim Husain +4 more
wiley +1 more source
PLDC‐Net: A Domain‐Specific Base Model for Plant Leaf Disease Classification Domain Adaptation Tasks
ABSTRACT Plant diseases are the cause of heavy losses of crop production and, therefore, a big contributor to food shortages. Identifying these diseases as early as possible is important to limit the negative effects that these diseases have on the yields, as slow response time will lead to the spread of diseases and further loss.
David J. Richter, Kyungbaek Kim
wiley +1 more source
Identification of Vegetation Communities Using Segmentation of Aerial Images
This work develops a scalable, segmentation‐based framework for assisting the generation of vegetation maps from aerial imagery. Several state‐of‐the‐art deep learning models are assessed to determine their suitability for identifying vegetation communities.
José Salas‐Cáceres +4 more
wiley +1 more source
ABSTRACT Background and Aim As dental anomalies can significantly affect esthetic and function, early detection and diagnosis are crucial for treatment and minimizing potential negative effects. Artificial intelligence (AI) has emerged as a promising tool for the segmentation and detection of dental anomalies in number, morphology, size, position, and ...
Mobina Sadat Zarabadi +4 more
wiley +1 more source
Abstract BackgroundComputed tomography (CT) is widely used in clinical practice due to its ability to provide detailed anatomical information. However, variations in radiation dose can affect image quality, potentially compromising the performance and reliability of artificial intelligence (AI) models applied to these images.
María Martín Asiain +12 more
wiley +1 more source
Overview of artificial intelligence applications in gastrointestinal disease diagnosis across multiple imaging modalities. The workflow illustrates the progression from image acquisition through preprocessing, feature extraction/learning, and classification/segmentation to clinical applications.
Sameena Pathan +6 more
wiley +1 more source

