Results 71 to 80 of about 14,783 (197)

Deep Learning Algorithms and Optimizers: Enhancing the Evaluation of Signature Authenticity

open access: yesJOIV: International Journal on Informatics Visualization
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

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
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

open access: yesJournal of Applied Informatics and Computing
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

A Hybrid YOLO–SE Attention Based Deep Learning Framework for Robust Weapon Detection in Surveillance Imagery

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
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

Evaluating Transfer Learning Models for Vehicle Scene Classification Under Adverse Weather Classification Conditions

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
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

open access: yesPlant Direct, Volume 10, Issue 4, April 2026.
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

open access: yesApplied Vegetation Science, Volume 29, Issue 2, April/June 2026.
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

Application of Artificial Intelligence in Detecting Dental Anomalies: Current Models, Imaging Modalities, and Future Directions

open access: yesHealth Science Reports, Volume 9, Issue 3, March 2026.
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

Impact of CT dose on AI performance: A comparison of radiomics, deep, and foundation models in a multicentric anthropomorphic phantom study

open access: yesMedical Physics, Volume 53, Issue 3, March 2026.
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

Artificial Intelligence in Gastrointestinal Disease Diagnosis: A Systematic Review of Endoscopy, Histology, and Radiology Applications

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
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

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