Natural Language Processing has been applied for automation of the recruitment process globally with the increase in volumes of profiles and jobs. This paper discusses certain challenges in the use of cutting-edge tec...
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In this study, we integrate the established obstacle problem formulation from ice sheet modeling [12, 20] with cutting-edge deep learning methodologies to enhance ice thickness predictions, specifically targeting the ...
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This paper presents a novel project aimed to rank modern supercomputing architectures. The proposed rating is based on an architecture-independent Vector Graph Library (VGL) framework. The initial integration with VGL...
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Diseases caused by parasites proliferate quickly over the globe. As a result, their control intervention needs to be swift and comprehensive. Preventing chronic diseases can be accomplished by using multi-modal commun...
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ISBN:
(数字)9798350368109
ISBN:
(纸本)9798350368116
Diseases caused by parasites proliferate quickly over the globe. As a result, their control intervention needs to be swift and comprehensive. Preventing chronic diseases can be accomplished by using multi-modal communication to attract attention and enhance awareness. This study presents a nonlinear dynamical model to evaluate the impact of media knowledge on the dissemination of illnesses carried by vectors. In this research, we propose a network model for wide-area multi-media communication. Positiveness, simple reproduction number equilibria, numerical simulation, and a fitted model using Delhi malaria data are used to analyze the mathematical model. An informed community makes it more difficult for disease to spread. Constant multi-media efforts combined with quick communication can effectively eradicate the illness.
One of the most recent developments in the field of graph theory is the analysis of networks such as Butterfly networks,Benes networks,Interconnection networks,and David-derived networks using graph theoretic *** topo...
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One of the most recent developments in the field of graph theory is the analysis of networks such as Butterfly networks,Benes networks,Interconnection networks,and David-derived networks using graph theoretic *** topological indices(TIs)have been widely used as graph invariants among various graph theoretic *** structure activity relationships(QSAR)and quantitative structure property relationships(QSPR)need the use of *** structure-based parameters,such as the degree and distance of vertices in graphs,contribute to the determination of the values of *** other recently introduced novelties,the classes of ev-degree and ve-degree dependent TIs have been extensively explored for various graph *** current research focuses on the development of formulae for different ev-degree and ve-degree dependent TIs for s−dimensional Benes network and certain networks derived from *** the end,a comparison between the values of the TIs for these networks has been presented through graphical tools.
Conventional data envelopment analysis (DEA) is a non-parametric approach to examine the efficiency of similar decision-making units (DMUs) as a whole system without considering its internal structure, i.e., the syste...
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In the present study, a non-linear mathematical model is proposed to minimize the total expenditure made on sugarcane cultivation. The objective here is to optimize the costs involved in transportation, cultivation, a...
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This summary is targeted at making the experience of extensive records using deep learning for diagnostic predictions. The purpose is to develop a deep getting-to-know structure to manner big, heterogeneous, and noisy...
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