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Implementation of high step-up power converter for fuel cell application with hybrid MPPT controller
As of now, there are multiple types of renewable energy sources available in nature which are hydro, wind, tidal, and solar. Among all of that the...
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Thermal-stress-induced birefringence management of complex laser systems by means of polarimetry
The novel method of the thermally-induced polarization changes driven power losses (TIPCL) analysis in the complex laser systems has been developed....
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Predicting soil cone index and assessing suitability for wind and solar farm development in using machine learning techniques
This study proposes a novel approach that combines machine learning models to predict soil compaction using the soil cone index values. The...
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Waveguide holography for 3D augmented reality glasses
Near-eye displays are fundamental technology in the next generation computing platforms for augmented reality and virtual reality. However, there are...
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Fast gradient algorithm for complex ICA and its application to the MIMO systems
This paper proposes a new gradient-descent algorithm for complex independent component analysis and presents its application to the Multiple-Input...
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On-chip phonon-magnon reservoir for neuromorphic computing
Reservoir computing is a concept involving map** signals onto a high-dimensional phase space of a dynamical system called “reservoir” for...
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Linear response theory of open systems with exceptional points
Understanding the linear response of any system is the first step towards analyzing its linear and nonlinear dynamics, stability properties, as well...
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Optimization of wear parameters for ECAP-processed ZK30 alloy using response surface and machine learning approaches: a comparative study
The present research applies different statistical analysis and machine learning (ML) approaches to predict and optimize the processing parameters on...
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Arbitrary entanglement of three qubits via linear optics
We present a linear-optical scheme for generating an arbitrary state of three qubits. It requires only three independent particles in the input and...
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Sustainable intensification of climate-resilient maize–chickpea system in semi-arid tropics through assessing factor productivity
Global trends show that the rapid increase in maize production is associated more with the expansion of maize growing areas than with rapid increases...
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A SISO FMCW radar based on inherently frequency scanning antennas for 2-D indoor tracking of multiple subjects
The contextual non-invasive monitoring and tracking of multiple human targets for health and surveillance purposes is an increasingly investigated...
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Experimental demonstration of passive microwave pulse amplification via temporal Talbot effect
The temporal Talbot effect is a passive phenomenon that occurs when a periodic signal propagates through a dispersive medium with a quadratic phase...
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Classification and reconstruction of spatially overlap** phase images using diffractive optical networks
Diffractive optical networks unify wave optics and deep learning to all-optically compute a given machine learning or computational imaging task as...
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Multidimensional cerebellar computations for flexible kinematic control of movements
Both the environment and our body keep changing dynamically. Hence, ensuring movement precision requires adaptation to multiple demands occurring...
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Empowering high-dimensional optical fiber communications with integrated photonic processors
Mode-division multiplexing (MDM) in optical fibers enables multichannel capabilities for various applications, including data transmission, quantum...
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A multi-task learning model for predicting drugs combination synergy by analyzing drug–drug interactions and integrated multi-view graph data
This paper proposes a multi-task deep learning model for determining drug combination synergistic by simultaneously output synergy scores and synergy...
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Antenna Placement Optimization for Distributed MIMO Radar Based on a Reinforcement Learning Algorithm
This paper studies an optimization problem of antenna placement for multiple heading angles of the target in a distributed multiple-input...
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Application of ensemble model in capacity prediction of the CCFST columns under axial and eccentric loading
Understanding the load-carrying capacity of circular concrete-filled steel tube (CCFST) columns is crucial for designing CCFST structures. However,...
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Research on liver cancer segmentation method based on PCNN image processing and SE-ResUnet
As one of the malignant tumors with high mortality, the initial symptoms of liver cancer are not obvious. In addition, the liver is the largest...
