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  3. Vol. 4 No. 1 (2020): Journal of Artificial Intelligence and Machine Learning in Management-2020

Vol. 4 No. 1 (2020): Journal of Artificial Intelligence and Machine Learning in Management-2020

Published: 2020-10-01

Articles

  • An Empirical Investigation of Drivers and Barriers of IoT-based Cloud Computing Deployment

    Sandesh Achar
    1-13
    • PDF
  • Predicting Employee Attrition: the Impact of Hybrid Work

    Sandeepkumar Racherla
    14-26
    • PDF
  • Vamsikrishna Bandari

    Cloud Workload Forecasting with Holt-Winters, State Space Model, and GRU

    Vamsikrishna Bandari
    27-41
    • PDF
  • Relationship between Racial Bias Exposure, Financial Literacy, and Entrepreneurial Intention: An Empirical Investigation

    Relationship between Racial Bias Exposure, Financial Literacy, and Entrepreneurial Intention: An Empirical Investigation

    Ziheng Song, Greer Mellon, Zihan Shen
    42-55
    • PDF
  • The Future of Electric Vehicles: A Comprehensive Review of Technological Advancements, Market Trends, and Environmental Impacts

    Priyadarshan Patil
    56-68
    • PDF
  • Quantum Control and Gate Optimization in Graphane-Based Quantum Systems

    José Gabriel Carrasco Ramírez
    69-79
    • PDF

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SageScience publishing is a journal publisher in the field of science and technology. With a focus on high-quality research and cutting-edge content, SageScience publishes a wide range of journals covering a variety of disciplines including artificial intelligence, business analytics, education, and machine learning. The company is committed to providing researchers and scientists with the latest information and insights in their respective fields and is dedicated to promoting the advancement of knowledge through the dissemination of scholarly research.

SageScience has a reputation for being a reliable and reputable publisher, with a strong commitment to peer review and rigorous editorial standards.

________________________________________

____________Editorial Board__________

  1. Dr. Carlos Alberto Reyes Lopez, Associate Professor at the Universidad de las Americas, Mexico. He is an expert in the field of artificial intelligence and machine learning, with a particular focus on natural language processing and text mining.

  2. Dr. Maria Teresa Ramos, Assistant Professor at the Universidad de Buenos Aires, Argentina. She is a leading researcher in the field of artificial intelligence and machine learning, with a particular focus on computer vision and image processing.

  3. Dr. Juan Carlos Mendoza, Professor at the Universidad de los Andes, Colombia. He is an expert in the field of artificial intelligence and machine learning, with a particular focus on deep learning and neural networks.

  4. Dr. Carlos Eduardo Viana, Professor at the Universidade Federal de Minas Gerais, Brazil. He is an expert in the field of artificial intelligence and machine learning, with a particular focus on reinforcement learning and decision-making.

Technical Editor

Dr. Soledad Tavella

Associate Professor at the Universidad Católica de Chile. She is a leading researcher in the field of artificial intelligence and machine learning, with a particular focus on data mining and knowledge discovery.

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