Results 91 to 100 of about 39,175 (304)

How Can Acoustic-To-Articulatory Maps Be Constrained?

, 2008
info:eu-repo/semantics ...
Laprie, Yves, Maragos, Petros, Schoentgen, Jean   +2 more
openaire   +4 more sources

The morphology and structure of the Hannibal Bank fisheries management zone, Pacific Panama using acoustic seabed mapping

, 2013
St. Andrews University, Fundación MarViva, The Nature Conservancy and the Smithsonian Tropical Research Institute provided the funding for this research.The Hannibal Bank sits within the Coiba UNESCO World Heritage Site in Pacific Panama and is also a ...
Bates, C. Richard, Cunningham, S., Guzman, H.M.   +2 more
core  

Study on automatic lithology identification method while drilling based on acoustic pressure-rock physics parameters mapping.

PLoS ONE
The lithology identification while drilling is a critical component of intelligent coal mine exploration. Investigating automatic lithology identification methods is of great significance for enhancing reservoir prediction accuracy and the automation ...
Wei Jiang, Qingfeng Wang, Baoyong Yan, Yang Liu, Shuhan Shi, Hong Fu   +5 more
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

Visualization of acoustic intensity vector fields using scanning measurement techniques

, 2013
Sound propagation paths are not always well understood mainly because of the complex nature of the source or the environment. A direct method to capture the sound energy flow throughout a room is to measure the three-dimensional sound intensity ...
Fernandez Comesana, Daniel, Tijs, Emiel, Cats, Peter, Cook, Douglas   +3 more
core  

Advances in Magnesium‐Based Thermoelectrics: A Critical Review

Advanced Materials, EarlyView.
Magnesium‐based thermoelectric materials have emerged as promising candidates for low‐to‐mid‐temperature energy conversion due to their abundance, low cost, and competitive performance. This review summarizes recent advances in Mg3X2, MgAgSb, and Mg2X systems, covering transport mechanisms, fabrication strategies, stability challenges, and device ...
Li‐Min Zhang, Li Zhang, Nan‐Hai Li, Yan‐Ling Yang, Xiao‐Lei Shi, Zhi‐Gang Chen   +5 more
wiley   +1 more source

Investigations into the use of quantified Bayesian Maximum Entropy methods to generate improved distribution maps and biomass estimates from fisheries acoustic survey data

, 2008
This thesis describes elements of the assessment and application of Bayesian Maximum Entropy (MaxEnt) image reconstruction techniques for the analysis of fisheries acoustic survey data.
Heywood, Ben G.
core  

Mapping of Acoustic Noise and Microwave Radiation

Cybernetics and Information Technologies, 2016
Passive sensor systems are attractive for monitoring due to the absence of probing emissions. Two passive systems: an acoustic camera, manufactured by Brüel & Kjær (Sound and Vibration Measurement A/S) and a microwave radiometer are considered in the ...
Kudriashov Volodymyr V., Garbar Artem Yu., Lukin Sergii K., Palamarchuk Volodymyr P., Lukin Konstantin A.   +4 more
doaj   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Efficient Prediction of Shallow-Water Acoustic Transmission Loss Using a Hybrid Variational Autoencoder–Flow Framework

Journal of Marine Science and Engineering
Efficient prediction of shallow-water acoustic transmission loss (TL) is crucial for underwater detection, recognition, and communication systems. Traditional physical modeling methods require repeated calculations for each new scenario in practical ...
Bolin Su, Haozhong Wang, Xingyu Zhu, Penghua Song, Xiaolei Li   +4 more
doaj   +1 more source