Mathematical foundations and algorithms for recognizing bichromatic two-dimensional graphic codes, regardless of their type (QR codes, DataMatrix, GridMatrix, etc.) are presented. The stages of achieving the result include detecting the code, ...

The paper presents a new algorithm for determining time interval cardiac series, which are obtained during the continuous registration of Photoplethysmography (PPG) signals. The accuracy of interval series extraction is directly dependent on the quality ...

In a cyber-physical system (CPS), the interconnection of cyber and physical components occurs through a network. This structure, particularly cyber components and networks, makes it susceptible to malicious attacks. One of the solutions to this CPS ...

This paper proposes a technology for the extraction of the vascular tissue of the human eye and calculation of the choroidal vascular index on optical coherence tomography (OCT) images. The choroid is one of the most vascularized structures of the ...

Shadows cause a reduction of text legibility and contrast of the overall document, leading to poor recognition rates by Optical Character Recognition (OCR). Shadows were cast during photo capturing because of object interferences due to projection ...

LASSO regularized logistic regression is particularly useful for its built-in feature selection, allowing coefficients to be removed from deployment and producing sparse solutions. Differentially private versions of LASSO logistic regression have been ...

Owning to the sedentary lifestyle, dietary assessment has become a significant research area. Automated food assessment initiates with food classification. Image classification commences with segmentation. Apparently, thresholding is the elemental method ...

Medical image analysis is an invaluable tool in medicine. Different imaging modalities provide an effective means for mapping images that can feed machine and deep learning models which can significantly contribute to increase knowledge of ...

Since the introduction of online payment systems, people have started doing online transactions which has also led to the rise of fraudulent transactions causing loss of money to the users and created distrust in the usage of online payment systems. Hence,...

A Dirichlet $k$-partition of a domain is a collection of $k$ pairwise disjoint open subsets such that the sum of their first Laplace--Dirichlet eigenvalues is minimal. In this paper, we propose a new relaxation of the problem by introducing auxiliary ...

The aim of this paper is to present an approach for objective and automatic detection and measure the gas holes in Swiss-type of cheese (Emmental) by computer vision techniques. Samples of four brands of Emmental cheese are bought from the marketplace. ...

Managing Advertisers’ Budgets in Online Advertising Platforms

Most online advertising platforms sell ad placements using repeated auctions. Platforms often provide budget-management strategies that allow advertisers to control their cumulative expenditures: Advertisers declare the maximum daily amount they are ...

In online advertising, advertisers purchase ad placements by participating in a long sequence of repeated auctions. One of the most important features that advertising platforms often provide and advertisers often use is budget management, which allows ...

 Now-a-days due to advancements in technologies most of the applications in signal processing were using the models based on the sparse signal. Sub optimal strategies were used in these models to estimate the sparsest coefficients. In this work various ...

Wavelet based thresholding procedure is most popular approach to obtained de-noised ECG signal. Traditional thresholding techniques classified into soft and hard thresholding, have their own limitations. Former one involves large data size leading to ...

Increased popularity of ‘intelligent’ web services provides end-users with machine-learnt functionality at little effort to developers. However, these services require a decision threshold to be set which is dependent on problem-specific data. ...

Motivated by online advertising applications, we study incentive properties of stationary mechanisms that satisfy budget constraints in expectation at a stationary equilibrium. We consider a general repeated auction setting where a seller sells ...

Background subtraction method is widely used for vehicle detection. One of the issues in this method is to find a suitable and accurate background model that works in all conditions. Moreover, setting an appropriate threshold value to discriminate ...

Aging structures are structures that have been standing for several years already and even functional until this day. A crack is an early sign for the life prediction of the safety of a structure. The traditional method for monitoring of cracks is by ...

Signal denoising is one of the most important areas in signal processing. In the present paper, we have denoised a 1D piecewise constant (PWC) signal corrupted by additive white Gaussian noise (AWGN) using the thresholded Haar wavelet denoising method. ...

Dental biometrics is another authentication technique where the dental features are used from dental images for identify a person. Segmentation of teeth from dental radiograph images is a crucial step for achieving automated forensic identification. ...