Results 81 to 90 of about 83,293 (195)
Single shot parameter estimation via continuous quantum measurement
We present filtering equations for single shot parameter estimation using continuous quantum measurement. By embedding parameter estimation in the standard quantum filtering formalism, we derive the optimal Bayesian filter for cases when the parameter ...
A. Holevo +10 more
core +1 more source
AI‐Based Non‐Invasive Continuous Blood Pressure Monitoring and Estimation System
An AI‐based biosensor pipeline integrates Apple Watch electrocardiogram (ECG), a custom digital stethoscope, and a blood‐pressure cuff to generate and validate 24‐hour cuffless blood‐pressure waveform prediction. Using a wavelet‐preprocessed ECG and a long short‐term memory model trained on MIMIC‐II and Autonomic Aging datasets, the system estimates ...
Barrett L. Burgess +8 more
wiley +1 more source
The microgrid is assuming an indispensable role in the power area and greatly affects inexhaustible reconciliation. There are numerous specialized troubles to move so as to utilize high ability in the microgrid. The significant issue in the microgrid has
Pooja Khandare +2 more
doaj +1 more source
This study presents a vision‐based artificial intelligence (AI) system that rapidly and accurately measures deformation in injection‐molded axial fan blades. By combining deep learning with explainable AI techniques, the system achieves high prediction accuracy while reducing inspection time by over 90%.
Keuntae Baek +6 more
wiley +1 more source
This workflow presents a complete pipeline for audio data processing, beginning with format conversion, channel adjustments, and cleaning, followed by enhancement and visualization techniques. It further applies signal separation using FastICA, postprocessing, and evaluation metrics (SDR, SIR, SAR) to improve audio analysis and support future research ...
Md. Razu Ahmed +3 more
wiley +1 more source
Decentralized energy systems are gaining momentum, and microgrids have become a vital component of the modern power landscape. Yet, maintaining power quality within these systems presents ongoing challenges due to the presence of nonlinear loads, variable renewable energy sources, and frequent switching operations.
Mahnoor Zahid +5 more
wiley +1 more source
This study describes the performance of BiLSTM, GRU, and TCN as deep learning models for the detection and classification of faults in transmission lines through synthetic and real‐time sequential datasets of 500 kV transmission line between Jamshoro and Karachi (NKI), in Sindh, Pakistan.
Nadeem Ahmed Tunio +5 more
wiley +1 more source
In this paper, we present an introduction of digital image watermarking followed by important characteristics and potential applications of digital watermarks.
Sharma Akankasha +2 more
doaj +1 more source
An optimal factor analysis approach to improve the wavelet-based image resolution enhancement techniques [PDF]
The existing wavelet-based image resolution enhancement techniques have many assumptions, such as limitation of the way to generate low-resolution images and the selection of wavelet functions, which limits their applications in different fields.
Jenkins, Karl W. +3 more
core
Impact of Noise on Fault Classification in High-Voltage Transmission Lines Using LVQ Neural Networks
Accurate fault detection and classification in high-voltage transmission lines are essential to ensure system reliability and operational safety. However, the presence of noise and transient disturbances often degrades the accuracy of conventional ...
Marta Hardiyanti Mursat +2 more
doaj +1 more source

