We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have retracted the following article, which is part of the Special Issue titled “Federated Learning for Blockchain Systems and Indust...
We, the Editor, Institution and Publisher of the journal IETE Journal of Research, have retracted the following article, which is part of the Special Issue titled “Federated Learning for Blockchain Systems and Industrial Internet of Things”:Sapna Juneja, Sourav Jain, Aparna Suneja, Gurminder Kaur, Yasser Alharbi, Ali Alferaidi, Abdullah Alharbi, Wattana Viriyasitavat & Gaurav Dhiman (2021) Gender and Age Classification Enabled Blockchain Security Mechanism for Assisting Mobile Application, IETE Journal of Research, DOI:10.1080/03772063.2021.1982418Following publication, concerns were raised about the peer review and decision-making processes for this special *** an investigation by the Taylor & Francis Publishing Ethics & Integrity team, in full cooperation with the Editor-in-Chief and the Institution, it was confirmed that the articles included in this special issue were not reviewed appropriately, in line with the Journal’s peer review standards and *** the stringency of the peer review process is core to the integrity of the publication process, the Editor and Publisher have decided to retract all of the articles within the above-named Special *** journal has not confirmed if the authors were aware of this compromised peer review *** journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this *** have been informed in our decision-making by our editorial policies and the COPE *** retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as “Retracted”.
Digital libraries are platforms that allow users to access structured information in a knowledge-based repository of data and access. In the end, the availability of good content and easy accessibility and use will dr...
Digital libraries are platforms that allow users to access structured information in a knowledge-based repository of data and access. In the end, the availability of good content and easy accessibility and use will drive the production and growth of digital libraries. Significant advancements in IT and the rapid development of online data have generated an intense interest in tools to help users find desired data. This paper describes how, particularly in college libraries, a digital library can be built and enforced in an academic library. The specifications for hardware, software, processing and recovery technologies are addressed. An elegant user interface, combined with better browsing, insertion and reporting capabilities, functionality that anyone can access from anywhere. The library’s automatic update facility helps to get a clear idea of which books are accessed by the members, allows users to create a ’hard copy’ report. The Digital library system stores information such as name, address, ID number, date of birth of library members. The information of books such as book name, book number, topic to which it refers, author, edition, edition, year of publication, total number of publications, total number of books in the library can also be stored and accessed digitally.
This paper reports an implementation of functions including recursive functions in a tangible programming environment. In the previous paper, we proposed a tangible programming environment which the users use on a sma...
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Machine learning can be used to make sense of healthcare data. Probabilistic machine learning models help provide a complete picture of observed data in healthcare. In this review, we examine how probabilistic machine...
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Machine learning can be used to make sense of healthcare data. Probabilistic machine learning models help provide a complete picture of observed data in healthcare. In this review, we examine how probabilistic machine learning can advance healthcare. We consider challenges in the predictive model building pipeline where probabilistic models can be beneficial, including calibration and missing data. Beyond predictive models, we also investigate the utility of probabilistic machine learning models in phenotyping, in generative models for clinical use cases, and in reinforcement learning.
In this work, we report a novel method of mask-less doping of graphene channel in field-effect transistor configuration by local inkjet printing of organic semiconducting molecules. Graphene-based transistor was fabri...
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The search of most efficient process to combine one material with others through welding is undergoing extensive research. Whether using solid-state or fusion welding, both techniques appear to have their own advantag...
The search of most efficient process to combine one material with others through welding is undergoing extensive research. Whether using solid-state or fusion welding, both techniques appear to have their own advantages and disadvantages. In solid-state welding, techniques that involve friction between the two to be welded materials, friction welding, have been gaining attention from researchers, since these techniques introduce a solid-state welding with a time-efficient process, excellent mechanical properties, and filler-free. In this study, we developed a friction welding machine based on lathe machine. The friction welding machine is designed with three main subsystems, they are braking system, holder chuck, and hydraulic system. The subsystems are then embedded to a lathe machine, giving it ability to perform a friction welding process, through three simple steps: (1) two samples are hold separately, one on the holder of lathe machine, whilst the other one is hold by a holder chuck; (2) the rotational movement is generate by lathe machine, and when it is achieve its desired rotational speed, then the holder chuck is pushed by the force given by hydraulic system completed with pressure gauge to generate friction forces between the two sample; (3) the sample is then hold for friction for a desired time, giving it time to generate heat from the friction before it release after finish the friction process. A preliminary results of friction welding has indicated that it has excellent strength as indicate by tensile test result. This study shows
In this work, we discuss a third order of accuracy difference scheme for approximate solution of the elliptic overdeter-mined multi-point problem in the Hilbert space. Functional operator approach is used to study exi...
In this work, we discuss a third order of accuracy difference scheme for approximate solution of the elliptic overdeter-mined multi-point problem in the Hilbert space. Functional operator approach is used to study existence and uniqueness of solution of difference problem. Stability, almost coercive stability and coercive stability estimates for solution of difference scheme are established.
Integrating machine learning techniques in healthcare becomes very common nowadays, and it contributes positively to improving clinical care and health decisions planning. Anemia and malaria are two life-threating dis...
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Milk adulteration becomes a great business in the dairy industry where its quality is compromised by adding certain chemicals or other substitutions. Milk is one of the most important nutritious food products that is ...
Milk adulteration becomes a great business in the dairy industry where its quality is compromised by adding certain chemicals or other substitutions. Milk is one of the most important nutritious food products that is consumed by humans irrespective of age from babies to older people. The consumption of adulterated milk can impair the functioning of various organs of the body, causing heart problems, cancer, and in extreme cases, even death. World Health Organization highlighted that if adulteration is not put to a stop, a lump of India’s population would be suffering from serious and fatal diseases like cancer by the end of 2025. Hence there is a huge demand for a cutting-edge research to detect the adulterated milk. A comparative analysis of five machine learning algorithms i.e., Logistic Regression, Naive Bayes, Random Forest, Support Vector machine and Gradient Boosting Machine are presented in this paper to classify the pure and adulterated milk.
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