The goal of image fusion for medical imaging is to merge multiple images captured from various\nsources into a single image that is useful for better diagnosis. Most of the state-of-the-art image fusing techniques \nis based on non-fuzzy sets, and the resulting fused image so obtained is delayed with complimentary information. \nFuzzy sets are better suited for medical image processing because more hesitation is taken into account compared \nto non-fuzzy sets. In this article, we present a method for efficiently merging multimodal medical images. As \nsuggested, the images are first converted to intuitionistic fuzzy images (IFI) and a new objective function called \nintuitionistic fuzzy entropy (IFE) is used to get the optimal value of the parameter in the membership and nonmembership functions. Next, the IFIs are compared using fitness function, contrast visibility (CV). Then \nTeaching and Learning Based Optimization (TLBO) is introduced to optimize the fusion coefficients, which are \nchanged during the teaching phase and the learning phase of TLBO so that the weighted coefficients can be \nautomatically adjusted to the fitness function. Finally, the fused image is obtained using optimal coefficients. \nSimulations are carried out on several pairs of multimodal medical images and compared with existing fusion \nmethods. The superiority of the proposed method is presented and justified. The quality of the fused image is \nalso checked using various metrics such as peak signal-to-noise ratio (PSNR), universal quality index (UQI), \nspatial frequency (SF), entropy (E), edge-based image fusion (QAB/F), etc.
This paper motivates to study the uniqueness problems on entire functions concerning differential\npolynomials which share a small function. The result of the paper verify, improve and supplement the recent results obtained by H. P. Waghamore and Ramya Maligi [6]. We also solve an open problem posed by Zhang and Wu [15] for the entire function.
River health has become one of the major concerns today due to impacts of human activities. This study develops a water quality index based health assessment method to diagnose the status of the Dagujia River, China. The health status is classified into 5 levels - ideal, healthy, sub-healthy, unhealthy and morbid. The assessment process includes four phases: (1) index layer grading, (2) criterion layer grading, (3) target layer grading, and (4) health diagnosis. The results show that 8 sections of the river are morbid, accounting for 66.3% of the entire assessed river. It also finds that higher water temperature variation (WTV) is the main factor resulting in this poor health situation. However, the assessment excluding WTV reveals that all the other sections are in ideal states except for a sub-healthy river section that is caused by the higher concentrations of CODMn and COD in the high flood season.
The paper presents results of experimental dynamic tests of motorbike pneumatic tire. Particular attention was paid to the assessment of radial dynamic stiffness and energy consumption, which affect the course of the adhesion coefficient.\n\nThe conducted research was aimed at reflecting the situation occurring during the impulse influence on the tire. The inertial test stand was prepared. A test stand was developed to simulate a sudden hitting of a tire on a stiff foreign body lying in the road plane. The experiment was performed at three different values of air pressure in the tire, different rates of deformation of the tire and different energy of impact on the tested wheel.\n\nThe tire deformation speed and radial dynamic stiffness were determined. The dynamic stiffness of tire increases with the increase of the pressure in the tire and its decrease is related to the increase in the speed of the tire load. The damping abilities of tire decrease with air pressure increase and this is a non-linear relationship.
In a more recent paper, the Banach spaces of all absolutely k-summable series has been introduced and studied by Sarıgöl and Agarwal. In the present paper, we introduce a paranormed space containing this space by following Maddox\'s paper, and show that it is an FK-space and isometrically isomorphic to the well known space l(\\mu).Also, we establish the Schauder basis and \\alpha; \\beta; \\gamma duals of this space, and qualify the related matrix\noperators. Our results include, as particular cases, a number of well known results.
n this paper, two novel algorithms for feature selection problem are proposed. The first one is a filter method while the second is wrapper method. Both the proposed algorithms use the crowding distance used in the multiobjective optimization as a metric to sort the importance of the features. The less crowded features have great effects on the target attribute (class). Experiments on well-known benchmark data sets have shown the effectiveness and the robustness of the proposed algorithms
The global dynamics of a discrete SEIR epidemic model with treatment has been considered. A unique positive solution for the proposed model with the positive initial conditions is obtained. The stability analysis of the disease-free equilibrium and endemic equilibrium have been investigated. It has been proved that the DFE is globally asymptotically stable when the basic reproduction number $\\mathcal{R}_0\\leq1$. The proposed model has a unique endemic equilibrium that is globally asymptotically stable whenever $\\tilde{\\mathcal{R}}_0>1$. The theoretical results are illustrated by a numerical simulation.