Module-Analysis-Assisted Design of Deep Ultraviolet Fluorooxoborates with Extremely Large Gap and High Structural Stability
Sign Up to like & getrecommendations! Published in 2019 at "Chemistry of Materials"
DOI: 10.1021/acs.chemmater.8b05175
Abstract: The diversity of potential structures and the competition of material functionalities make material design still a big challenge. Here, we use down-to-top design by screening functional modules to realize targeted design of deep ultraviolet (DUV, read more here.
Keywords: gap; design deep; design; module ... See more keywords
Fast and Efficient Design of Deep Neural Networks for Predicting N7-Methylguanosine Sites Using autoBioSeqpy
Sign Up to like & getrecommendations! Published in 2023 at "ACS Omega"
DOI: 10.1021/acsomega.3c01371
Abstract: N7-Methylguanosine (m7G) is a crucial post-transcriptional RNA modification that plays a pivotal role in regulating gene expression. Accurately identifying m7G sites is a fundamental step in understanding the biological functions and regulatory mechanisms associated with… read more here.
Keywords: efficient design; neural networks; design deep; fast efficient ... See more keywords
Design of a Deep Learning-Based Underwater Acoustic Sensor Transceiver
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2024.3357512
Abstract: This study adopted multiscale convolutional neural networks (MCNNs) to increase the volume of feature extraction, and a long short-term memory (LSTM) network was employed to rank time-series signals. Three simulated marine environments were examined, namely… read more here.
Keywords: design deep; model; sea; lstm model ... See more keywords
Quantization Design for Deep Learning-Based CSI Feedback
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2025.3570965
Abstract: Deep learning-based autoencoders have been employed to compress and reconstruct channel state information (CSI) in frequency-division duplex systems. Practical implementations require judicious quantization of encoder outputs for digital transmission. In this letter, we propose a… read more here.
Keywords: deep learning; design deep; quantization; quantization design ... See more keywords
Enhancing Digital Chinese Painting in Interior Design with Deep Learning and Virtual Reality
Sign Up to like & getrecommendations! Published in 2024 at "Computer-Aided Design and Applications"
DOI: 10.14733/cadaps.2024.s16.163-177
Abstract: . Through the study of the aesthetic spirit of the artistic conception of traditional Chinese paintings, this paper clarifies the inner connection between the interior space art and the aesthetic spirit of the artistic conception… read more here.
Keywords: deep learning; design deep; painting interior; chinese painting ... See more keywords
Design of Deep Eutectic Systems: A Simple Approach for Preselecting Eutectic Mixture Constituents
Sign Up to like & getrecommendations! Published in 2020 at "Molecules"
DOI: 10.3390/molecules25051077
Abstract: Eutectic systems offer a wide range of new (green) designer solvents for diverse applications. However, due to the large pool of possible compounds, selecting compounds that form eutectic systems is not straightforward. In this study,… read more here.
Keywords: approach preselecting; deep eutectic; eutectic systems; design deep ... See more keywords