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Analyzing the impact of machine learning and artificial intelligence and its effect on management of lung cancer detection in covid-19 pandemic

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Materials Today: Proceedings 2022年 56卷 2213-2216页

作者： Boddu, Raja Sarath Kumar Karmakar, Partha Bhaumik, Ankan Nassa, Vinay Kumar Vandana Bhattacharya, Sumanta Department of CSE Lenora College of Engineering Andhra Pradesh Rampachodavaram India Government of West Bengal Bikash Bhawan Salt Lake W.B. Kolkata India Dept. of Applied Mathematics With Oceanology and Computer Programming Vidyasagar University Midnapore India Department of Computer Science Engineering South Point Group of Institutions Sonepat Haryana India Department of Mathematics Dasmesh Khalsa College Zirakpur India Department of Science and Technology and Biotechnology MAKAUT India

Cancer victims, particularly those with lung cancer, are more susceptible and at higher danger of COVID-19 and associated consequences as a result of their compromised immune systems, which makes them particularly sensitive. Because of a variety of circumstances, cancer patients' diagnosis, treatment, and aftercare are very complicated and time-consuming during an epidemic. In such circumstances, advances in artificial intelligence (AI) and machine learning algorithms (ML) offer the capacity to boost cancer sufferer diagnosis, therapy, and care via the use of cutting technologies. For example, using clinical and imaging data combined with machine learning methods, the researchers may be able to distinguish among lung alterations induced by corona virus and those produced by immunotherapy and radiation. During this epidemic, artificial intelligence (AI) may be utilized to guarantee that the appropriate individuals are recruited in cancer clinical trials more quickly and effectively than in the past, which was done in a conventional and complicated manner. In order to better care for cancer patients and find novel and more effective therapies, It is critical that we move beyond traditional research methods and use artificial intelligence (AI) and machine learning to update our research (ML). Artificial intelligence (AI) and machine learning (ML) are being utilised to help with several aspects of the COVID-19 epidemic, such as epidemiology, molecular research and medication development, medical diagnosis and treatment, and socioeconomics. The use of artificial intelligence (AI) and machine learning (ML) in the diagnosis and treatment of COVID-19 patients is also being investigated. The combination of artificial intelligence and machine learning in COVID-19 may help to identify positive patients more quickly. In order to understand the dynamics of an epidemic that is relevant to artificial intelligence, when used in different patient groups, AI-based algorithms can quic

关键词： COVID-19

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Optimization of Industrial Processes in Reactors

Optimization of Industrial Processes in Reactors

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2013 2nd International Conference on Key Engineering Materials and computer Science(KEMCS 2013)

作者： Meruyert Berdiyeva Aiman Ospanova Мohamed Othman Department of Computer engineering and Software programming South Kazakhstan State University Dept of Communication Technology and Network Universiti Putra Malaysia

In the conditions of industrial production many processes of polymerisation are nonstationary. By processes optimization with the regard for such features as basic data it is necessary to use adaptive algorithms of identification, allowing mathematical model of process continuously to be adapted for changing conditions of operation. Use of such algorithms for process optimization demands periodic recalculation of optimum technological modes of process. Polymer reaction engineering is a discipline that deals with various problems concerning the fundamental nature of chemical and physical phenomena in polymerization processes. Mathematical modeling is a powerful tool for the development of process understanding and advanced reactor technology in the polymer industry.

关键词： industrial processes polymerisattion chemical reactors technological parameters-temperature and conversion the optimization problem

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An EPQ Model of Deteriorating Items under Partial Trade Credit Financing and Demand Declining Market in Crisp and Fuzzy Environment

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Procedia computer Science 2015年 45卷 780-789页

作者： P. Majumder U.K. Bera M. Maiti Department Of Mathematics National Institute of Technology Agartala Barjala Jirania pin:- 799055 Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore 721 102 India

In this manuscript, an Economic production quantity (EPQ) model have been formulated for deteriorating items under partial trade credit policy with crisp and fuzzy demand. For fuzzy demand we take demand as a triangular fuzzy number & we consider upper α 1 − cut & lower α 1 − cut of this fuzzy number. Then the annual inventory cost of retailer is divided into two parts upper α 1 − cut of annual inventory cost & lower α 1 − cut of annual inventory cost. We use weighted sum method to convert multi objective to a single objective. Here we have to derive optimum cycle time so as to minimize the total average cost. Numerical examples are used to illustrate all results obtained in this paper. Finally the model is solved by Generalized Reduced Gradient(GRG) method and using LINGO(12) software.

关键词： EPQ deterioration partial trade credit fuzzy demand.

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SAC: Off-the-shelf support for data-parallelism on multicores

SAC: Off-the-shelf support for data-parallelism on multicore...

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DAMP 2007: Workshop on Declarative Aspects of Multicore programming

作者： Grelck, Clemens Scholz, Sven-Bodo University of Lübeck Institute of Software Technology and Programming Languages Ratzeburger Allee 160 23538 Lübeck Germany University of Hertfordshire Department of Computer Science College Lane Hatfield AL10 9AB United Kingdom University of Hertfordshire United Kingdom

ISBN: (纸本)1595936904

The advent of multicore processors has raised new demand for harnessing concurrency in the software mass market. We summarise our previous work on the data parallel, functional array processing language SaC. Its compiler technology is geared towards highly runtime-efficient support for shared memory multiprocessors and, thus, is readily applicable to today's off-the-shelf multicore systems. Copyright 2007 ACM.

关键词： Automatic programming

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A proposal of an example and experiments repository to foster industrial adoption of formal methods 8th

A proposal of an example and experiments repository to foste...

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8th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2018

作者： Schlick, Rupert Felderer, Michael Majzik, Istvan Nardone, Roberto Raschke, Alexander Snook, Colin Vittorini, Valeria Center for Digital Safety and Security AIT Austrian Institute of Technology GmbH Vienna Austria Department of Computer Science University of Innsbruck Innsbruck Austria Department of Software Engineering Blekinge Institute of Technology Karlskrona Sweden Department of Measurement and Information Systems Budapest University of Technology and Economics Budapest Hungary University of Naples Federico II Naples Italy Institute of Software Engineering and Programming Languages Ulm University Ulm Germany Electronics and Computer Science University of Southampton Southampton United Kingdom

ISBN: (纸本)9783030034269

Formal methods (in a broad sense) have been around almost since the beginning of computer science. Nonetheless, there is a perception in the formal methods community that take-up by industry is low considering the potential benefits. We take a look at possible reasons and give candidate explanations for this effect. To address the issue, we propose a repository of industry-relevant example problems with an accompanying open data storage for experiment results in order to document, disseminate and compare exemplary solutions from formal model based methods. This would allow potential users from industry to better understand the available solutions and to more easily select and adopt a formal method that fits their needs. At the same time, it would foster the adoption of open data and good scientific practice in this research field. © Springer Nature Switzerland AG 2018.

关键词： Formal methods

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Using the Topological Characterization of Synchronous Models 1

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Electronic Notes in Theoretical computer Science 2003年 81卷 36-47页

作者： Giovanni Adagio Distributed Programming Laboratory School of Computer Science and Communication Systems Swiss Federal Institute of Technology in Lausanne (EPFL) Institute of Mathematics School of Basic Sciences Swiss Federal Institute of Technology in Lausanne (EPFL) Switzerland

This paper contributes to the characterization of synchronous models of distributed computing using topological techniques. We consider a generic synchronous model with send-omission failures and use a topological structure corresponding to a bounded number of rounds of the model. We observe some nice properties of the structure and derive from these properties necessary and sufficient conditions to solve consensus in this model.

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Promoter recognition with machine learning algorithms keREM, RULSE-3 and ANN

Promoter recognition with machine learning algorithms keREM,...

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IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA)

作者： Günay Karli Ahmet Nayir Faculty of Engineering and Information Technology International Burch University Sarajevo Bosnia and Herzegovina Department of Computer Programming Fatih University Istanbul Turkey

Data mining has become an important and active area of research because of theoretical challenges and practical applications associated with the problem of discovering interesting and previously unknown knowledge from very large real world database. These databases contain potential gold mine of valuable information, but it is beyond human ability to analyze massive amount of data and elicit meaningful patterns by using conventional techniques. In this study, DNA sequence was analyzed to locate promoter which is a regulatory region of DNA located upstream of a gene, providing a control point for regulated gene transcription. In this study, some supervised learning algorithms such as artificial neural network (ANN), RULES-3 and newly developed keREM rule induction algorithm were used to analyse to DNA sequence. In the experiments different option of keREM, RULES-3 and ANN were used, and according to the empirical comparisons, the algorithms appeared to be comparable to well-known algorithms in terms of the accuracy of the extracted rule in classifying unseen data.

关键词： Artificial neural networks DNA Classification algorithms Machine learning algorithms Neurons Algorithm design and analysis Biological neural networks

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Towards context-sensitive intelligence

Towards context-sensitive intelligence

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2nd European Workshop on Software Architecture, EWSA 2005

作者： Mügge, Holger Rho, Tobias Winandy, Marcel Won, Markus Cremers, Armin B. Costanza, Pascal Englert, Roman Institute of Computer Science III University of Bonn Römerstr. 164 53117 Bonn Germany Programming Technology Lab. Vrije Universiteit Brussel Pleinlaan 2 1050 Brussels Belgium Deutsche Telekom Laboratories Ernst-Reuter-Platz 7 10587 Berlin Germany

Even modern component architectures do not provide for easily manageable context-sensitive adaptability, a key requirement for ambient intelligence. The reason is that components are too large - providing black boxes with adaptation points only at their boundaries - and to small - lacking good means for expressing concerns beyond the scope of single components - at the same time. We present a framework that makes components more fine-grained so that adaptation points inside of them become accessible, and more coarse-grained so that changes of single components result in the necessary update of structurally constrained dependants. This will lead to higher quality applications that fit better into personalized and context-aware usage scenarios. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Artificial intelligence

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Carrot and Stick approaches when managing Technical Debt

Carrot and Stick approaches when managing Technical Debt

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IEEE/ACM International Conference on Technical Debt (TechDebt)

作者： Terese Besker Antonio Martini Jan Bosch Computer Science and Engineering Software Engineering Chalmers University of Technology Göteborg Sweden University of Oslo Programming and Software Engineering Oslo Norway

When developing software, it is vitally important to keep the level of technical debt down since it is well established from several studies that technical debt can, e.g., lower the development productivity, decrease the developers’ morale, and compromise the overall quality of the software. However, even if researchers and practitioners working in today’s software development industry are quite familiar with the concept of technical debt and its related negative consequences, there has been no empirical research focusing specifically on how software managers actively communicate and manage the need to keep the level of technical debt as low as *** paper aims to explore how software companies encourage and reward practitioners for actively keeping the level of technical debt down and also whether the companies use any forcing or penalizing initiatives when managing technical *** paper reports the results of both an online web-survey provided quantitative data from 258 participants and follow-up interviews with 32 industrial software practitioners. The findings show that having a TD management strategy can significantly impact the amount of TD in the software. When surveying how commonly used different TD management strategies are, we found that only the encouraging strategy is, to some extent, adopted in today’s’ software industry. This study also provides a model describing the four assessed strategies by presenting its strategies and tactics, together with recommendations on how they could be operationalized in today’s software companies.

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A Top-Down Three-Way Merge Algorithm for HTML/XML Documents 1

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Science and Information Conference, SAI 2020

作者： Bakaoukas, Anastasios G. Bakaoukas, Nikolaos G. Faculty of Arts Science and Technology University of Northampton Waterside Campus University Drive NorthamptonNN1 5PH United Kingdom School of Engineering and Sciences Computer Science and Programming Department Foundation College Mitropoleos Street and Mnisikleous Campus Athens105 56 Greece

ISBN: (数字)9783030522490

ISBN: (纸本)9783030522483

Collaborative work, with the need to keep HTML/XML code up-to-date, is now becoming vital particularly in the Web Development field. In order to fully support collaborative work and resolve related problems the need has arisen for an optimum solution to the automated editing of a number of parallel copies originating from a single original HTML/XML code document with the additional requirement to subsequently merge the copies into a single updated document. A number of algorithms have been used in the past for the purpose, such as: Diff3, XmlDiff, DeltaXML & 3DM, but HTML/XML code complexity related issues have now called for an algorithm that is more specifically designed for the purpose. In this paper a new algorithmic approach to merging HTML/XML code documents is presented that is based on the "Three-way Merge" approach and the "Node-per-Node" comparison between ordered trees. For the creation of the actual merging function operating at the heart of the algorithm, a particular methodology was followed in which only the two "Current Versions" are required for the generation of the updated document, and no involvement of the "Original Document" is necessary. This is an important improvement over the currently existing algorithms because eliminates the well-known "Idempotent" problem in merging two HTML/XML documents. In addition, the algorithmic approach presented here allows for the identification and treatment of all the conflicts that arise during a HTML/XML code merging in an ordered and clearly specified manner. © 2020, Springer Nature Switzerland AG.

关键词： HTML

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