Results 131 to 140 of about 41,575 (296)

Deep-Learning-Based ModCod Predictor for Satellite Channels [PDF]

Radioengineering
One of the significant challenges for satellite communications is to serve the ever-increasing demand for the use of finite resources. One option is to increase channel utilization, i.e., to transmit as much data as possible in a given frequency range ...
A. L. Makara, L. Csurgai-Horvath
doaj  

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

Details of DNN models.

Descriptions of all DNN models used in our analyses. (PDF)
Michael F. Bonner (5131151), Eric Elmoznino (17769143)   +1 more
core   +1 more source

Porous Carbon Materials for Carbon Dioxide Capture

Carbon Energy, EarlyView.
This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu, Chuhan Fu, Tao Qi, Hui Zhou, Guangping Hao, Yalou Guo, Guoping Hu   +6 more
wiley   +1 more source

Performance comparison of pressure swing adsorption and amine‐based absorption for synthesis gas purification

The Canadian Journal of Chemical Engineering, EarlyView.
Comparison of PSA and amine‐based absorption for syngas purification shows that PSA offers lower energy intensity, global warming potential, and minimum selling price, making it a more sustainable option. However, absorption achieves higher syngas purity. A GREENSCOPE‐based multi‐criteria assessment guides optimal process selection.
Magno Fonseca Santos, Antonio Esio Bresciani, Rita Maria Brito Alves   +2 more
wiley   +1 more source

A Dual Deep Neural Network Approach for Discriminating Internal Faults and Inrush Currents in Transformers Under CT Saturation

IEEE Access
The dependability and security of transformer differential protection can be compromised by current transformer (CT) saturation, which distorts current measurements and may lead to the maloperation of protective relays.
Sopheap Key, Soupheng Leap, Seong-Min Yoon, Heungseok Lee, Soon-Ryul Nam   +4 more
doaj   +1 more source

DNN Implementations Data Set

, 2019
A summary and analysis of DNN Implementations on FPGA, GPU, mGPU and NPU ...
Jantsch, Axel; orcid:, Wess, Matthias
core  

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Magic for the Age of Quantized DNNs

2025 19th International Conference on Machine Vision and Applications (MVA)
14 pages, 5 figures, 4 ...
Ryuji Saiin, Kazuma Suetake, Yoshihide Sawada   +2 more
openaire   +2 more sources

Uniaxial compressive strength prediction and ratio parameter optimization of titanium tailings composite backfill materials using intelligent hybrid models

Deep Underground Science and Engineering, EarlyView.
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley   +1 more source