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An unambiguous cloudiness index for nonwovens
Cloudiness or formation is a concept routinely used in industry to address deviations from homogeneity in nonwovens and papers. Measuring a...
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A tight bound of modified iterative hard thresholding algorithm for compressed sensing
We provide a theoretical study of the iterative hard thresholding with partially known support set (IHT-PKS) algorithm when used to solve the...
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Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next
Physics-Informed Neural Networks (PINN) are neural networks (NNs) that encode model equations, like Partial Differential Equations (PDE), as a...
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Case Studies
This chapter presents step-by-step the optimization of controllers for two canonical benchmark problems of interest to the control community, i.e.,...
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Feasibility-based fixed point networks
Inverse problems consist of recovering a signal from a collection of noisy measurements. These problems can often be cast as feasibility problems;...
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Model-based adaptive locomotion and clustering control of microparticles through ultrasonic topological charge modulation
We present a novel motion control technique for microrobot clusters to exploit the characteristics of the ultrasonic field. The method comprises two...
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Covariate-Assisted Matrix Completion with Multiple Structural Breaks
In matrix completion, additional covariates often provide valuable information for completing the unobserved entries of a high-dimensional low-rank...
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What Data?
Actuaries now collect all kinds of information about policyholders, which can not only be used to refine a premium calculation but also to carry out...
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Refined Analysis of Piezoelectric Microcantilevers in Gradient Electroelasticity Theory
AbstractIn this paper we present analytical solutions for the cantilever beam bending problems obtained in the non-classical electroelasticity theory...
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Improved RIP-based bounds for guaranteed performance of two compressed sensing algorithms
Iterative hard thresholding (IHT) and compressive sampling matching pursuit (CoSaMP) are two mainstream compressed sensing algorithms using the hard...
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Introduction
Depicting complex information in a clean, human-friendly, and easily understandable manner is a task, with which not just professional illustrators...
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Plant Disease Detection Using Machine Learning Algorithms
In recent times many researchers are motivated by the success of machine learning algorithms [15] in the field of computer vision to improve the...
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Controller Tuning by Metaheuristics Optimization
Metaheuristics are suitable for optimizing a broad class of problems. Subsequently, metaheuristics have attracted the attention of researchers from...
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Towards Sustainable Agriculture: Challenges from the Transition to the New Digital Era
Providing sufficient food to meet the needs of the ever-increasing population, as expressed by the term food security, has posed a number of...
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Single Image Dehazing Using Deep Belief Neural Networks to Reduce Computational Complexity
Image dehazing is one of the classification of image restoration methods in image processing and is gaining wide spread attention in recent times to...
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Client Systems for Autonomous Driving
This chapter focuses on the design of autonomous driving client systems, including the operating system and the computing platform. An autonomous...
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Safety-Critical Optimal Control for Autonomous Systems
This paper presents an overview of the state of the art for safety-critical optimal control of autonomous systems. Optimal control methods are well...
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Exact Consensus Error for Multi-agent Systems with Additive Noises
In this paper, the consensus problem is investigated for discrete-time multi-agent systems with additive process noises. Due to the presence of...
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Axial control for nonlinear resonances of electrostatically actuated nanobeam with graphene sensor
The nonlinear resonance response of an electrostatically actuated nanobeam is studied over the near-half natural frequency with an axial capacitor...