Communication and Intelligent Systems
Proceedings of ICCIS 2023, Volume 1
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Chapter and Conference Paper
Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation
Ensuring traffic safety is crucial in the pursuit of sustainable transportation. Across diverse traffic systems, maintaining good situation awareness (SA) is important in promoting and upholding traffic safety...
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Book and Conference Proceedings
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Book and Conference Proceedings
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Book and Conference Proceedings
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Book and Conference Proceedings
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Book and Conference Proceedings
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Article
Implementation of the Filtered Turbulent Flame Model in Non-premixed Combustion Simulation
The interaction between flame and turbulence leads to challenging flame dynamics and modeling issues. In this work, a newly proposed filtered turbulent flame model is implemented in the framework of large eddy...
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Article
Open AccessTransfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks
The COVID-19 pandemic has put a huge challenge on the Indian health infrastructure. With a larger number of people getting affected during the second wave, hospitals were overburdened, running out of supplies ...
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Chapter and Conference Paper
Semantic Segmentation of Cardiac Structures from USG Images Using Few-Shot Prototype Learner Guided Deep Networks
This article proposed a method for semantic segmentation of ultrasound cardiac images using Deep network guided by learned prototype with few-shot learning approach. The main aim of the proposed method is to r...
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Chapter and Conference Paper
A Novel Variational-Mode-Decomposition-Based Long Short-Term Memory for Foreign Exchange Prediction
The global foreign exchange (forex) market has a daily volume on the order of $5 trillion and is the largest financial market in the world. The importance of this market has attracted many research efforts. Nu...
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Chapter and Conference Paper
A Novel Explainable Deep Learning Model with Class Specific Features
The predictive accuracy of any machine learning model is highly depended on the features used to train the model. For this reason, it is important to extract good discriminative features from the raw data. Thi...
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Book and Conference Proceedings
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Book and Conference Proceedings
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Book and Conference Proceedings
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Book and Conference Proceedings
Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery
Proceedings of the ICNC-FSKD 2022
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Book and Conference Proceedings
Communications, Networking, and Information Systems
First International Congress, CNIS 2023, Guilin, China, March 25–27, 2023, Revised Selected Papers
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Article
Guest editorial: Trends, perspectives and prospects of sensor technologies in hydrological sciences
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Book and Conference Proceedings
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Article
Privacy preservation through facial de-identification with simultaneous emotion preservation
Due to the availability of low-cost internet and other data transmission media, a high volume of multimedia data get shared very quickly. Often, the identity of individuals gets revealed through images or vide...
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Article
A robust and efficient image de-fencing approach using conditional generative adversarial networks
Image de-fencing is one of the most important aspects of recreational photography in which the objective is to remove the fence texture present in an image and generate an aesthetically pleasing version of the...
