Results 71 to 80 of about 84,040 (258)

Vehicle image datasets for image classification

Data in Brief
El reconocimiento de imágenes de vehículos es un área de investigación crítica con diversas aplicaciones de gestión del tráfico, vigilancia y sistemas de conducción autónoma. La clasificación e identificación precisa de los vehículos a partir de imágenes juega un papel crucial en estos dominios.
Narong Boonsirisumpun, Emmanuel Okafor, Olarik Surinta   +2 more
openaire   +3 more sources

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

AN INTELLIGENT SYSTEM FOR IRAQI ARABIC LICENSE PLATE RECOGNITION USING YOLO AND MACHINE LEARNING

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
Vehicle identification processes through traffic management systems depend heavily on automatic license plate recognition capabilities. The presented system uses advanced methods from deep learning and machine learning to recognize Iraqi vehicle license ...
Neaam M.Isaam Abdul-Sattar
doaj   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Study of methods for searching and localizing objects in images from aircraft using convolutional neural networks

Радіоелектронні і комп'ютерні системи
The use of unmanned and manned aerial vehicles for remote object localization and classification is very common. These methods are used in various systems, ranging from territory surveys to law enforcement.
Rostyslav Tsekhmystro, Oleksii Rubel, Vladimir Lukin   +2 more
doaj   +1 more source

Lipid Nanoparticle Co‐Delivery of mRNA and a Small Molecule Drug for Oral Cancer Chemoimmunotherapy

Advanced Materials, EarlyView.
Co‐encapsulation of p53 mRNA and the small molecule ciclopirox within a lipid nanoparticle yields an all‐in‐one chemoimmunotherapy for oral squamous cell carcinoma. The platform engages caspase‐driven apoptosis in cancer cells while repolarizing tumor‐associated macrophages, achieving tumor reduction in both p53‐susceptible and p53‐resistant models and
Marshall S. Padilla, Jacqueline J. Li, Qunzhou Zhang, Korey Patwari, Shihong Shi, Hannah M. Yamagata, Ryann A. Joseph, Briyanna N. Hymms, Sridatta V. Teerdhala, Emily Fitzgerald, Ori Z. Chalom, Kushol Gupta, Mohamad‐Gabriel Alameh, Drew Weissman, Anh D. Le, Michael J. Mitchell   +15 more
wiley   +1 more source

Real-Time Video Surveillance System for Traffic Management with Background Subtraction Using Codebook Model and Occlusion Handling

Transport and Telecommunication, 2017
The scope of this paper is a video surveillance system constituted of three principal modules, segmentation module, vehicle classification and vehicle counting. The segmentation is based on a background subtraction by using the Codebooks method.
Moutakki Zakaria, Ouloul Imad Mohamed, Afdel Karim, Amghar Abdellah   +3 more
doaj   +1 more source

Combined nonparametric chi-squared and binomial statistical test on truck traffic volume changes in Canadian provincial highway network

Transport, 2019
This paper examines the effect of weather conditions on truck type distribution using combined nonparametric chi-squared and binomial probability statistical tests.
Hyuk-Jae Roh, Satish Sharma
doaj   +1 more source

Real-Time Vehicle Classification System Using a Single Magnetometer. [PDF]

Sensors (Basel), 2022
Sarcevic P, Pletl S, Odry A.
europepmc   +1 more source