7 research outputs found

    Breast Cancer Detection from Histopathology Images using Machine Learning Techniques: A Bibliometric Analysis

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    Computer aided diagnosis has become upcoming area of research over past few years. With the advent of machine learning and especially deep learning techniques, the scenario of work flow management in healthcare sector is changing drastically. Artificial intelligence has shown potential in the field of breast cancer care. With datasets for machine learning frameworks getting eventually richer with time, we can definitely get newer insights in the field of breast cancer care. This will help in narrowing down the treatment range for patients and increasing patient survivability. The purpose of this study was to perform bibliometric analysis of the literature in the area of breast cancer detection using machine learning. Analysis was done for various elements like publication types, highly influential authors, most prominent journals, institutional affiliations, main keywords, etc. This analysis may direct future researchers by giving thorough quantitative evaluation of research documents in the field of breast cancer detection using machine learning

    APPLICATIONS OF MULTI BOOST AND FULL BRIDGE CONVERTERS FOR SUPER CAPACITORS AND BATTERY POWER MANAGEMENT FOR ECCE HYBRID VEHICLE

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    This paper presents Methodology based on super capacitors and battery power management for applications of the ECCE Hybrid Vehicle using the principle of multi boost and full bridge rectifiers. In collaboration with the Electrical and Electronics Research center in Belfort (CREEBEL) and French innovators ECCE for Hybrid vehicle system was developed as an experiment at L2ES Laboratory. An experiment ECCE for the Hybrid Vehicle incorporates the dc motors coupled with the alternator with the rated voltage of 540V. Energy source to the system is by using two super capacitors bank, each bank consists of the 108 cells with provision of maximum voltage of 270V.To embarked the best power management topology for the Hybrid vehicle application, author proposed the multi boost and full bridge converter topologies for it. In this paper the two converter topologies are presented with experimental and the simulation result

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