Multiscale monitoring using machine learning methods: New methodology and an industrial application to a photovoltaic system
In this study, a multiscale monitoring method for nonlinear processes was developed. We
introduced a machine learning tool for fault detection and isolation based on the kernel …
introduced a machine learning tool for fault detection and isolation based on the kernel …
An attention based bi-LSTM DenseNet model for named entity recognition in english texts
Abstract Named Entity Recognition (NER), a popular method that is used for recognizing
entities that are present in a text document. It is a method for processing natural language …
entities that are present in a text document. It is a method for processing natural language …
The use of ML Algo Techniques in Translational Way of HC System (Medicine)
In recent years, the rate of expansion in our ability to handle multi-dimensional biology and
clinical data, covering laboratory to real-world situations, has greatly changed the face of …
clinical data, covering laboratory to real-world situations, has greatly changed the face of …
Advanced Technological Improvements in Making of Smart Production Using AI and ML
DDW Praveenraj, T Vijayaraj, KS Kumar… - 2024 4th …, 2024 - ieeexplore.ieee.org
The necessity for adaptation and creativity in the manufacturing sector demonstrates the
importance of sustainable manufacturing by the merging of advanced technologies. To …
importance of sustainable manufacturing by the merging of advanced technologies. To …
[PDF][PDF] Survey on handwritten signature biometric data analysis for assessment of neurological disorder using machine learning techniques
The handwritten signature is considered one of the most widely accepted personal
behavioral traits in Biometric system. Handwriting analysis has wide applications in multiple …
behavioral traits in Biometric system. Handwriting analysis has wide applications in multiple …
Wireless network upgraded with artificial intelligence on the data aggregation towards the smart internet applications
In the modern evolution, WSN (Wireless Sensor Network) incorporated with data
aggregation platform which involves stimulating research area with various modern …
aggregation platform which involves stimulating research area with various modern …
Comparative analysis of various machine and deep learning models for face mask detection using digital images
COVID-19 has majorly influenced life of all human beings worldwide. It is also affecting
human's daily life style. During this pandemic situation, face masks have been used …
human's daily life style. During this pandemic situation, face masks have been used …
AI Integrated ST Modern System for Designing Automated Standard Affirmation System
N Retzlaff - 2024 4th International Conference on Advance …, 2024 - ieeexplore.ieee.org
This is a phenomenal approach toward a game-changer in AI-driven software testing and
assures quality automation of the software product, facilitating faster, more exact, and very …
assures quality automation of the software product, facilitating faster, more exact, and very …
[HTML][HTML] Sparsity regularization-based real-time target recognition for side scan sonar with embedded GPU
Z Li, D Chen, TL Yip, J Zhang - Journal of Marine Science and …, 2023 - mdpi.com
Side Scan Sonar (SSS) is widely used to search for seabed objects such as ships and
wrecked aircraft due to its high-imaging-resolution and large planar scans. SSS requires an …
wrecked aircraft due to its high-imaging-resolution and large planar scans. SSS requires an …
Self-supervised video representation and temporally adaptive attention for audio-visual event localization
Y Ran, H Tang, B Li, G Wang - Applied Sciences, 2022 - mdpi.com
Localizing the audio-visual events in video requires a combined judgment of visual and
audio components. To integrate multimodal information, existing methods modeled the cross …
audio components. To integrate multimodal information, existing methods modeled the cross …