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  1. No Access

    Chapter and Conference Paper

    Deciphering Stem Cell Pluripotency Using a Machine Learning Clustering Approach

    Complex biological systems including genes, transcription factors, regulators, and signaling pathways control pluripotency. Based on their capacity for self-renewal, pluripotent stem cells can be divided into ...

    Nikhil Jain, Payal Gupta, Abhishek Sengupta in Artificial Intelligence: Theory and Applic… (2024)

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    Chapter and Conference Paper

    Implementation of Machine Learning Algorithms for Cardiovascular Disease Prediction

    Cardiovascular diseases are the leading cause of death every year in the world. By utilizing machine learning algorithms, patterns and relationships in data can be learned and utilized to make predictions and ...

    Anjali Sharma, Cheena Dhingra in Emergent Converging Technologies and Biome… (2024)

  3. Article

    Open Access

    Homozygous loss-of-function variants in FILIP1 cause autosomal recessive arthrogryposis multiplex congenita with microcephaly

    Arthrogryposis multiplex congenita forms a broad group of clinically and etiologically heterogeneous disorders characterized by congenital joint contractures that involve at least two different parts of the body....

    Franziska Schnabel, Elisabeth Schuler, Almundher Al-Maawali in Human Genetics (2023)

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    Chapter

    Basics of Density Functional Theory, Molecular Dynamics, and Monte Carlo Simulation Techniques in Materials Science

    Materials science is an important part of engineering to discover new materials for various applications. Computational techniques are the essential tool to identify and analyze various engineering materials. ...

    Sandeep Kumar Singh, Ankur Chaurasia, Akarsh Verma in Coating Materials (2023)

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    Chapter and Conference Paper

    Fuzzy Logic-Based Disease Classification Using Similarity-Based Approach with Application to Alzheimer’s

    With the advent of the post genomics era, there has been a surge in the amount of medical data for healthcare applications as well as the number of novel solution methodologies. The management and analysis of ...

    Ankur Chaurasia, Priyanka Narad in Emerging Technologies in Data Mining and I… (2023)

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    Chapter and Conference Paper

    Combination of Expression Data and Predictive Modelling for Polycystic Ovary Disease and Assessing Risk of Infertility Using Machine Learning Techniques

    Polycystic ovary disease is a reproductive disorder which may put a woman at greater risk of infertility. Polycystic ovary disease can also lead to other diseases such as hyperandrogenism, type-2 diabetes and ...

    Sakshi Vats, Abhishek Sengupta in Innovations in Computational Intelligence … (2022)

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    Chapter

    Reinforcing Potential of 2D Nanofiller in Polyethylene: A Molecular Dynamics Approach

    In this chapter, the authors have emphasized the reinforcing potential of the 2D nanofiller such as graphene and hexagonal boron nitride nanosheet in the polymer matrix nanocomposites using a molecular dynamic...

    Ankur Chaurasia, Sandeep Kumar Singh in Forcefields for Atomistic-Scale Simulation… (2022)

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    Chapter and Conference Paper

    Evaluation of Interfacial Shear Strength of h-BN/PE Nanocomposites Using Molecular Dynamics

    Interfacial shear strength of the h-BN/polyethylene (PE) nanocomposites has predicted using the molecular dynamics approach. The reaction force field (Reaxff) and L-J potential are used for interatomic integra...

    Ankur Chaurasia, Avinash Parashar, Rahul S. Mulik in Advances in Engineering Design (2021)

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    Chapter and Conference Paper

    Enhancement in Mechanical Properties of Polyethylene Using h-BN Nanofiller

    In this present study, effect of h-BN nanosheet on mechanical properties of polyethylene was studied using molecular dynamics-based approach. A reactive force field was used to predict the mechanical performan...

    Ankur Chaurasia, Avinash Parashar, Rahul S. Mulik in Advances in Systems Engineering (2021)

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    Chapter

    Practical Applications of Artificial Intelligence for Disease Prognosis and Management

    Artificial intelligence (AI) is an emerging field, which provides enhanced capabilities of decision-making to the machines. The extremely popular application of machine learning approaches in the area of disea...

    Ankur Chaurasia, Sakshi Vats in Artificial Intelligence and Machine Learni… (2021)

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    Chapter and Conference Paper

    Predicting the Outcome of an Election Results Using Sentiment Analysis of Machine Learning

    In the present era, intellectuals and common people use social networking sites to express their views (political, economic, governance), moods, and thoughts on various topics of interest. Twitter is one such ...

    Ankur Saxena, Neeraj Kushik, Ankur Chaurasia in International Conference on Innovative Com… (2020)

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    Chapter and Conference Paper

    Handling Big Data Using MapReduce Over Hybrid Cloud

    Today is the world of digitalization and we cannot imagine digital world without Big Data over cloud infrastructures. The best financially savvy strategy to manage the expanding intricacy of huge information i...

    Ankur Saxena, Ankur Chaurasia in International Conference on Innovative Com… (2019)

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    Chapter and Conference Paper

    Experimental Investigation of High-Speed Turning of INCONEL 718 Using PVD-Coated Carbide Tool Under Wet Condition

    With the advancement in the field of materials, the material removal processes with high surface accuracy have also become more and more challenging. This paper reports use of PVD-coated tungsten carbide tool ...

    Ankur Chaurasia, Vishal Wankhede, Rakesh Chaudhari in Innovations in Infrastructure (2019)

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    Article

    Magnetic abrasive finishing of AZ91 magnesium alloy using electromagnet

    The magnesium alloy is widely used in the industry owing to its lightweight and high specific strength applications. In the present work, the effect of different process parameters of magnetic abrasive finishi...

    Ankur Chaurasia, Nav Rattan, Rahul S. Mulik in Journal of the Brazilian Society of Mechan… (2018)

  15. No Access

    Chapter and Conference Paper

    Economical Home Monitoring System Using IOT

    Home monitoring system is a device that is implemented using Internet of Things. The Internet of Things is the internetworking of physical devices, vehicles, buildings, and other items embedded with electronic...

    Kunwardeep Singh Obheroi, Ankur Chaurasia in Proceedings of the Second International Co… (2018)