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Operator Equations Inducing Some Generalizations of Slant Hankel Operators

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Acta Mathematica Sinica,English Series 2024年第8期40卷 2017-2036页

作者： Gopal DATT bhawna Bansal GUPTA Department of Mathematics PGDAV CollegeUniversity of DelhiNew Delhi-110065India Department of Mathematics Miranda HouseUniversity of DelhiDelhi-110007India

An extension of slant Hankel operator,namely,the kth-orderλ-slant Hankel operator on the Lebesgue space L^(2)(T^(n)),where T is the unit circle and n≥1,a natural number,is described in terms of the solution of a system of operator equations,which is subsequently expressed in terms of the product of a slant Hankel operator and a unitary *** study is further lifted in Calkin algebra in terms of essentially kth-orderλ-slant Hankel operators on L^(2)(T^(n)).

关键词： Hankel operator Lebesgue space of n-dimensional torus kth-order slant Hankel operator essentially kth-orderλ-slant Hankel operator

Multimodality Medical Image Fusion Based on Pixel Significance with Edge-Preserving Processing for Clinical Applications

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Computers, Materials & Continua 2024年第3期78卷 4317-4342页

作者： bhawna Goyal Ayush Dogra Dawa Chyophel Lepcha Rajesh Singh Hemant Sharma Ahmed Alkhayyat Manob Jyoti Saikia Department of ECE and UCRD Chandigarh UniversityMohaliPunjab140413India Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjab140401India Department of ECE Uttaranchal Institute of TechnologyUttaranchal UniversityDehradun248007India IES College of Technology IES UniversityBhopal462044India College of Technical Engineering The Islamic UniversityNajaf54001Iraq Department of Electrical Engineering University of North FloridaJacksonvilleFL32224USA

Multimodal medical image fusion has attained immense popularity in recent years due to its robust technology for clinical *** fuses multiple images into a single image to improve the quality of images by retaining significant information and aiding diagnostic practitioners in diagnosing and treating many ***,recent image fusion techniques have encountered several challenges,including fusion artifacts,algorithm complexity,and high computing *** solve these problems,this study presents a novel medical image fusion strategy by combining the benefits of pixel significance with edge-preserving processing to achieve the best fusion ***,the method employs a cross-bilateral filter(CBF)that utilizes one image to determine the kernel and the other for filtering,and vice versa,by considering both geometric closeness and the gray-level similarities of neighboring pixels of the images without smoothing *** outputs of CBF are then subtracted from the original images to obtain detailed *** further proposes to use edge-preserving processing that combines linear lowpass filtering with a non-linear technique that enables the selection of relevant regions in detailed images while maintaining structural *** regions are selected using morphologically processed linear filter residuals to identify the significant regions with high-amplitude edges and adequate *** outputs of low-pass filtering are fused with meaningfully restored regions to reconstruct the original shape of the *** addition,weight computations are performed using these reconstructed images,and these weights are then fused with the original input images to produce a final fusion result by estimating the strength of horizontal and vertical *** standard quality evaluation metrics with complementary properties are used for comparison with existing,well-known algorithms objectively to validate the fusion *** results from th

关键词： Image fusion fractal data analysis biomedical diseases research multiresolution analysis numerical analysis

Biodiesel from Palm Vegetable Oil

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Natural Resources 2024年第2期15卷 51-60页

作者： bhawna Yadav Lamba Sapna Jain Shreya Jha Applied Science Cluster School of Engineering UPES Dehradun India Winchester High School Massachusetts USA

Energy obtained from a variety of non-renewable sources is considered unsustainable. Various fossil fuels, such as petroleum, coal, and natural gas, are among these sources. The combustion of fossil fuels resulted in the generation of greenhouse gases, which increased the amount of carbon dioxide in the atmosphere. Global warming and ozone layer degradation are the negative consequences. In a country like India, where consumable oils are still imported, it is sense to look at the possibility of using such unpalatable oils in CI engines that aren’t often utilized as cooking oil. Palm oil is a vegetable oil obtained from the monocarp of the oil palm’s crop. The main goal is to provide a low-cost, high-performance alternative to diesel. The possibility of palm oil as a realistic, modest, and effective hotspot for the generation of biodiesel is investigated in this research. The article is focused on the comparison of palm oil and diesel in terms of characteristics.

关键词： Biodiesel Transesterification Palm Oil Heterogeneous Catalyst Methyl Esters Sustainable Fuel Energy

Quantile-Based Shannon Entropy for Record Statistics

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Communications in Mathematics and Statistics 2023年第2期11卷 283-306页

作者： Vikas Kumar bhawna Dangi Department of Applied Sciences University Institute of Engineering and TechnologyM.D.UniversityRohtak 124001India

The quantile-based entropy measures possess some unique properties than their distribution function *** present communication deals with the study of the quantile-based Shannon entropy for record *** this regard a generalized model is considered for which cumulative distribution function or probability density function does not exist and various examples are provided for illustration *** we consider the dynamic versions of the proposed entropy measure for record statistics and also give a characterization result for *** the end,we study F^(α)-family of distributions for the proposed entropy measure.

关键词： Shannon entropy Record value Quantile function Quantile entropy F^(α)-family

Probiotic fermentation of polyphenols: potential sources of novel functional foods

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Food Production, Processing and Nutrition 2022年第1期4卷 259-274页

作者： Rohit Sharma bhawna Diwan Brij Pal Singh Saurabh Kulshrestha Faculty of Applied Sciences&Biotechnology Shoolini University of Biotechnology and Management SciencesSolan173229India Department of Microbiology Central University of HaryanaMahendragarhIndia

Fermented functional food products are among the major segments of food processing *** imparts several characteristic effects on foods including the enhancement of organoleptic characteristics,increased shelf-life,and production of novel health beneficial ***,in addition to macronutrients present in the food,secondary metabolites such as polyphenols are also emerging as suitable fermentable *** the traditional antimicrobial view of polyphenols,accumulating research shows that polyphenols exert differential effects on bacterial communities by suppressing the growth of pathogenic microbes while concomitantly promoting the proliferation and survival of probiotic ***,probiotic bacteria not only survive among polyphenols but also induce their fermentation which often leads to improved bioavailability of polyphenols,production of novel metabolic intermediates,increased polyphenolic content,and thus enhanced functional capacity of the fermented *** addition,selective fermentation of combinations of polyphenol-rich foods or fortification with polyphenols can result in novel functional *** present narrative review specifically explores the potential of polyphenols as fermentable substrates in functional *** discuss the emerging bidirectional relationship between polyphenols and probiotic bacteria with an aim at promoting the development of novel functional foods based on the amalgamation of probiotic bacteria and polyphenols.

关键词： Probiotics Polyphenols Fermented Foods Lactic acid bacteria Tea

Fusion of Region Extraction and Cross-Entropy SVM Models for Wheat Rust Diseases Classification

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Computers, Materials & Continua 2023年第11期77卷 2097-2121页

作者： Deepak Kumar Vinay Kukreja Ayush Dogra bhawna Goyal Talal Taha Ali Department of Computer Science&Engineering Chitkara University Institute of Engineering and TechnologyChitkara UniversityPunjab140401India Department of Electronics&Communication Engineering Chandigarh UniversityPunjab140413India Department of Dental Industry Techniques Al-Noor University CollegeNineveh41018Iraq

Wheat rust diseases are one of the major types of fungal diseases that cause substantial yield quality losses of 15%–20%every *** wheat rust diseases are identified either through experienced evaluators or computerassisted *** experienced evaluators take time to identify the disease which is highly laborious and too *** wheat rust diseases are predicted at the development stages,then fungicides are sprayed earlier which helps to increase wheat yield *** solve the experienced evaluator issues,a combined region extraction and cross-entropy support vector machine(CE-SVM)model is proposed for wheat rust disease *** the proposed system,a total of 2300 secondary source images were augmented through flipping,cropping,and rotation *** augmented images are preprocessed by histogram *** a result,preprocessed images have been applied to region extraction convolutional neural networks(RCNN);Fast-RCNN,Faster-RCNN,and Mask-RCNN models for wheat plant patch *** layers of region extraction models construct a feature vector that is later passed to the CE-SVM *** a result,the Gaussian kernel function in CE-SVM achieves high F1-score(88.43%)and accuracy(93.60%)for wheat stripe rust disease classification.

关键词： Wheat rust diseases agricultural region extraction models intercropping image processing feature extraction precision agriculture

Medical Image Fusion Based on Anisotropic Diffusion and Non-Subsampled Contourlet Transform

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Computers, Materials & Continua 2023年第7期76卷 311-327页

作者： bhawna Goyal Ayush Dogra Rahul Khoond Dawa Chyophel Lepcha Vishal Goyal Steven LFernandes Department of ECE Chandigarh UniversityMohali140413PunjabIndia Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Department of Electronics and Communication Engineering GLA UniversityMathuraIndia Department of Computer Science Design and JournalismCreighton UniversityNEUSA

The synthesis of visual information from multiple medical imaging inputs to a single fused image without any loss of detail and distortion is known as multimodal medical image *** improves the quality of biomedical images by preserving detailed features to advance the clinical utility of medical imaging meant for the analysis and treatment of medical *** study develops a novel approach to fuse multimodal medical images utilizing anisotropic diffusion(AD)and non-subsampled contourlet transform(NSCT).First,the method employs anisotropic diffusion for decomposing input images to their base and detail layers to coarsely split two features of input images such as structural and textural *** detail and base layers are further combined utilizing a sum-based fusion rule which maximizes noise filtering contrast level by effectively preserving most of the structural and textural *** is utilized to further decompose these images into their low and high-frequency *** coefficients are then combined utilizing the principal component analysis/Karhunen-Loeve(PCA/KL)based fusion rule independently by substantiating eigenfeature reinforcement in the fusion *** NSCT-based multiresolution analysis is performed on the combined salient feature information and the contrast-enhanced fusion ***,an inverse NSCT is applied to each coef-ficient to produce the final fusion *** results demonstrate an advantage of the proposed technique using a publicly accessible dataset and conducted comparative studies on three pairs of medical images from different modalities and *** approach offers better visual and robust performance with better objective measurements for research development since it excellently preserves significant salient features and precision without producing abnormal information in the case of qualitative and quantitative analysis.

关键词： Anisotropic diffusion biomedical medical health diseases adversarial attacks image fusion research and development precision

MRMR Based Feature Vector Design for Efficient Citrus Disease Detection

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Computers, Materials & Continua 2022年第9期72卷 4771-4787页

作者： Bobbinpreet Sultan Aljahdali Tripti Sharma bhawna Goyal Ayush Dogra Shubham Mahajan Amit Kant Pandit Department of Electronics&Communication Engineering Chandigarh UniversityMohali140413India Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Ronin Institute Mont ClairNJ07043USA School of Electronics&Communication Engineering Shri Mata Vaishno Devi UniversityKatra182320India

In recent times,the images and videos have emerged as one of the most important information source depicting the real time *** images nowadays serve as input for many applications and replacing the manual methods due to their capabilities of 3D scene representation in 2D *** capabilities of digital images along with utilization of machine learning methodologies are showing promising accuracies in many applications of prediction and pattern *** of the application fields pertains to detection of diseases occurring in the plants,which are destroying the widespread *** the disease detection process was done by a domain expert using manual examination and laboratory *** is a tedious and time consuming process and does not suffice the accuracy *** creates a room for the research in developing automation based methods where the images captured through sensors and cameras will be used for detection of disease and control its *** digital images captured from the field’s forms the dataset which trains the machine learning models to predict the nature of the *** accuracy of these models is greatly affected by the amount of noise and ailments present in the input images,appropriate segmentation methodology,feature vector development and the choice of machine learning *** ensure the high rated performance of the designed system the research is moving in a direction to fine tune each and every stage separately considering their dependencies on subsequent *** the most optimum solution can be obtained by considering the image processing methodologies for improving the quality of image and then applying statistical methods for feature extraction and *** training vector thus developed is capable of presenting the relationship between the feature values and the target *** this article,a highly accurate system model for detecting the diseases occurring in citrus fruits

关键词： Citrus diseases classification feature vector design plant disease detection redundancy reduction

Impact of invasive Ageratina adenophora on relative performance of woody vegetation in different forest ecosystems of Kumaun Himalaya,India

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Journal of Mountain Science 2023年第9期20卷 2557-2579页

作者： bhawna NEGI Kavita KHATRI Surendra S.BARGALI Kiran BARGALI Archana FARTYAL R.K.CHATURVEDI Department of Botany D.S.B CampusKumaun UniversityNainital-263002UttarakhandIndia Center for Integrative Conservation Xishuangbanna Tropical Botanical GardenChinese Academy of SciencesMenglun 666303China

Invasive plant Ageratina adenophora(Sprengel)***&*** has invaded majority of the temperate forests in Kumaun,Central *** on *** invaded forest types,their structural attributes,population demography and regeneration status are still at rudimentary *** this,the present study was conducted to assess the impacts of *** on vegetational attributes and regeneration status of three forest types,viz.,Oak(Quercus oblongata ***),Pine(Pinus roxburghii Sarg.)and Cypress(Cupressus torulosa ***).We selected three sites for each forest type and each site was further purposively stratified into paired sampling plots of 1 ha each i.e.,*** invaded and uninvaded *** results showed large densities of cut stumps or felled trees throughout invaded sites,but with fewer fire signs in comparison to uninvaded *** uninvaded sites,total density and basal area calculated for woody species were relatively higher than those in invaded sites,although results were insignificant(p>0.05).With the exception for Cypress forests,vegetation indices showed low woody species richness and diversity in invaded Oak and Pine ***,regeneration of ***,*** and *** tree species did not differ significantly(p>0.05)between invaded and uninvaded *** insignificant differences clearly imply that ***'s presence has not entirely changed the perennial plant communities in terms of composition,structure and natural ***,tree species with poor or no regeneration status requires special attention and needs management strategies involving control of invasive species in forest ecosystems.

关键词： Ageratina adenophora Seedling density Forests Population structure Regeneration