Results 61 to 70 of about 10,225 (242)

Dimple‐Encoded Reprogrammable Origami

Advanced Science, EarlyView.
Local snap‐through of bistable dimples turns flat elastic sheets into reprogrammable origami structures. Interaction‐guided dimple arrays act as angle‐programmable hinge bands, enabling one sheet to morph into distinct polygonal and three‐dimensional configurations while retaining stable shapes for deployable and protective functions.
Qun Zhang, Weicheng Huang, Amir Hajiyavand, Hyunyoung Kim, Claire Dancer, Karl Dearn, Mingchao Liu   +6 more
wiley   +1 more source

Adding Virtual Objects to Realtime Images; A Case Study in Augmented Reality

Sakarya University Journal of Computer and Information Sciences, 2020
Augmented reality applications related with faces such as make-up, hair design, wearing glasses are mostly prepared for entertainment purposes. Facilitating the preparation of augmented reality applications and more accurate analysis of real-world data ...
Çağla Ediz
doaj   +1 more source

Automated Alignment Powered by Computer Vision Streamlines the Two‐Photon Polymerization‐Based Micro 3D Printing of Multiscale and Multimaterial Structures

Advanced Intelligent Discovery, EarlyView.
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher, Valentina Mendoza Martinez, Marcin Piotr Piekarczyk, Stefan Sützl, Ada‐Ioana Bunea   +4 more
wiley   +1 more source

Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter

Advanced Intelligent Discovery, EarlyView.
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon, Dmitri Gavrilov, Peggy O’Day, Ajith Pattammattel   +3 more
wiley   +1 more source

CNN-ENABLED DETECTION SYSTEM FOR AGRICULTURAL ANOMALY ANTICIPATION [PDF]

Proceedings on Engineering Sciences
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 , Vikrant Shokeen , Amit Sharma, Sangeeta Sangeeta , Sitender   +4 more
doaj   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Pre‐Curved Everting Robots With Embedded Steering Intelligence Fabricated by CO2 Laser Welding

Advanced Intelligent Systems, EarlyView.
Design and experimental demonstration of a laser welded growing robot for anatomically guided navigation. The robot follows an aortic arch phantom entering the branchiocephalic branch through steering by design. The figure shows the physical phantom setup, CAD defined weld geometry and full robot eversion.
Brandon Saldarriaga, Panagiotis Kalozoumis, Panagiotis Vartholomeos, Carlo Seneci, Kawal Rhode, Christos Bergeles   +5 more
wiley   +1 more source

Integrating machine learning, deep learning, and image analysis for seed species classification

Applications in Plant Sciences, EarlyView.
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth, Eloise Barrett, Rebonto Haque, Ben Wildey, Anthony Hall, Felix Shaw, Jose J. De Vega   +6 more
wiley   +1 more source

Lighting System Control for Cataract Maturity Imaging Device

Journal of Electrical Engineering and Computer
As technology advances, various innovations have been made to assist in diagnosing and treating cataracts. In cataract detection, artificial intelligence-based methods such as Convolutional Neural Networks (CNN) have proven very effective in detecting ...
Katon Bagus Setiawan, I Komang Somawirata, Irmalia Suryani Faradisa   +2 more
doaj   +1 more source

Artificial Intelligence‐Driven Analysis for Locating Fistulas in Sacral Terminal Filar Cysts: Technical Note

iRADIOLOGY, EarlyView.
An AI‐driven two‐stage algorithm accurately locates sacral terminal filar cyst fistulas via MRI‐CT pattern matching, demonstrating high robustness and reducing reliance on expert experience for precise surgical planning. ABSTRACT Background Sacral terminal filar cysts often cause pain, numbness, urinary/bowel dysfunction, and sexual dysfunction due to ...
Xuesheng Zheng
wiley   +1 more source