Results 21 to 30 of about 34,156 (192)
Remote Sensing, 2022 Deep learning methods, especially deep convolutional neural networks (DCNNs), have been widely used in high-resolution remote sensing image (HRSI) semantic segmentation.
Yu Wang +4 more
doaj +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
An Autoencoder-Based Task-Oriented Semantic Communication System for M2M Communication
AlgorithmsSemantic communication (SC) is a communication paradigm that has gained significant attention, as it offers a potential solution to move beyond Shannon’s formulation in bandwidth-limited communication channels by delivering the semantic meaning of the ...
Prabhath Samarathunga +5 more
doaj +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Advanced Engineering Materials, EarlyView.Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Gourd‐Inspired Design of Unit Cell with Multiple Gradients for Physiological‐Range Pressure Sensing
Advanced Functional Materials, EarlyView.Gourd‐shaped micro‐dome arrays with coordinated modulus, conductivity, and geometric gradients co‐optimize sensitivity and linearity in piezoresistive tactile sensors. Under pressure, a solid upper dome embeds into a porous lower dome, triggering rapid contact‐area growth and series‐to‐parallel conduction, enabling unsaturated, intensity‐resolved ...
Jiayi Xu +6 more
wiley +1 more source
Semantic Arithmetic Coding Using Synonymous Mappings
EntropyRecent semantic communication methods explore effective ways to expand the communication paradigm and improve the performance of communication systems.
Zijian Liang +3 more
doaj +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
A Semantic Communication and VVC Based Hybrid Video Coding System
IEEE AccessRequirements of next-generation video applications are becoming a challenge for conventional video coding systems, although they have evolved over decades to accommodate the most demanding of current video applications.
Prabhath Samarathunga +5 more
doaj +1 more source
Word Similarity Calculation Method Based on Path and CiLin Coding [PDF]
Jisuanji gongcheng, 2018 The existed similarity calculation methods of words are mainly focus on the path structure of words and consider less about the semantic information of words in detail,which lead to inaccurate calculation results.Aiming at this problem,an improved ...
WANG Songsong,GAO Weixun,XU Yifan
doaj +1 more source
Latent Semantic Sequence Coding Applied to Taxi Travel Time Estimation
ISPRS International Journal of Geo-Information, 2023 Taxi travel time estimation based on real-time traffic flow collection in IoT has been well explored; however, it becomes a challenge to use the limited taxi data to estimate the travel time.
Zilin Zhao +4 more
doaj +1 more source