Results 41 to 50 of about 3,329 (203)

Physics‐Aware Machine‐Learning‐Driven Inverse Design of Broadband Ultra‐Open Acoustic Metamaterials

Advanced Science, EarlyView.
A physics‐aware machine‐learning framework enables inverse design of ultra‐open acoustic silencers by decoupling spectral and radial design spaces. The approach rapidly identifies broadband, compact, and highly ventilated architectures, while revealing hidden linear design rules that link geometry, impedance matching, and acoustic performance.
Zhiwei Yang, Mengyu Li, Xiaohang Xie, Ao Chen, Thomas G. Bifano, Xin Zhang   +5 more
wiley   +1 more source

IMPROVING EFFICIENCY IN IMAGE ENCRYPTION AND COMPRESSION USING PERMUTATIONS & PREDICTIONS

ICTACT Journal on Image and Video Processing, 2017
Due to rapid growth in image sizes, an alternate of numerically lossless coding named visually lossless coding is considered to reduce storage size and lower data transmission.
S Shunmugan, P Arockia Jansi Rani
doaj   +1 more source

Updatable Closed‐Form Evaluation of Arbitrarily Complex Multiport Network Connections

Advanced Electronic Materials, EarlyView.
The inverse design of electrically large wave devices often uses reduced‐order multiport models with discrete optimization, requiring many evaluations of complex interconnections between subsystems that differ only in a few blocks. This paper introduces a closed‐form framework enabling efficient Woodbury low‐rank updates of related, previous ...
Hugo Prod'homme, Philipp del Hougne
wiley   +1 more source

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

Advanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula, Lynnicia N. Massenburg, Spenser R. Brown, Amber N. Bible, Chanda R. Harris, Lance X. Zhang, Kiara Parker, Scott T. Retterer, Jennifer L. Morrell‐Falvey, Rama K. Vasudevan, Alexis N. Williams   +10 more
wiley   +1 more source

A Tile-Based Multi-Core Hardware Architecture for Lossless Image Compression and Decompression

Applied Sciences
Lossless image compression plays a vital role in improving data storage and transmission efficiency without compromising data integrity. However, the throughput of current lossless compression and decompression systems remains limited and is unable to ...
Xufeng Li, Li Zhou, Yan Zhu
doaj   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Modelling and Analysis of Hybrid Transformation for Lossless Big Medical Image Compression

Bioengineering, 2023
Due to rapidly developing technology and new research innovations, privacy and data preservation are paramount, especially in the healthcare industry. At the same time, the storage of large volumes of data in medical records should be minimized. Recently,
Xingsi Xue, Raja Marappan, Sekar Kidambi Raju, Rangarajan Raghavan, Rengasri Rajan, Osamah Ibrahim Khalaf, Ghaida Muttashar Abdulsahib   +6 more
doaj   +1 more source

Bio‐inspired vision: From principle, material architectures to system‐level integration

FlexMat, EarlyView.
This review introduces the development and mechanism of electronic and ionic bio‐inspired vision devices respectively. Then, it explores the impact of structure on bio‐inspired visual performance from the scale of intrinsic materials and device. Finally, it concludes that only by combining advanced software and technology can more complex vision ...
Zewan Lin, Miaoyi Xu, Xianda Ma, Weifeng Yang, Yuanlong Shao   +4 more
wiley   +1 more source

Deep Lossless Compression Algorithm Based on Arithmetic Coding for Power Data

Sensors, 2022
Classical lossless compression algorithm highly relies on artificially designed encoding and quantification strategies for general purposes. With the rapid development of deep learning, data-driven methods based on the neural network can learn features ...
Zhoujun Ma, Hong Zhu, Zhuohao He, Yue Lu, Fuyuan Song   +4 more
doaj   +1 more source

Exploring the Value Realization and Management of Healthcare Data Elements in the Context of New Quality Productive Forces

Health Care Science, EarlyView.
With the rapid advancement of information technology, data has become a key driver of social progress, particularly in the medical field. The accumulation and innovative application of medical data have not only reshaped the structure of medical production factors but also provided a strong impetus for the development of new productivity.
Zhixuan Yu, Jiaxuan Wei, Jianlin Wang, Jie Lu, Pengfei Cao   +4 more
wiley   +1 more source