STM Journals Peer-reviewed research from Consortium e-Learning Network

4 publications

  • Published Subscription Review Article

    Balancing Progress and Privacy: Exploring the Societal Implications of Artificial Intelligence in the Digital Era

    By Prashant J. Viradiya, Chirag C. Mavani, Ripalkumar N. Patel

    Abstract: This study investigates concerns about privacy, accountability, and justice, underscoring the importance of further examining the societal ramifications of artificial intelligence (AI). Interdisciplinary collaboration and responsible AI development will be fostered as a result. The intricate ramifications of AI on various facets of human existence—including labor, personal privacy, social connections, sound judgment, and ethical concerns—are also examined in this essay. To attain a more profound comprehension of the intricate conduct …

    Published in Journal of Advancements in Robotics · Vol. 11, Issue 1, 2024 · pp. 15–19 Read article

  • Published Subscription Review Article

    Artificial Intelligence Threat to Human Activities

    By Prashant J. Viradiya, Ripalkumar N. Patel, Chirag C. Mavani

    Abstract: This study explores the multifaceted impacts of Artificial Intelligence (AI) across human activities which must be employment, privacy, social interactions, proper decision-making, and also the ethical considerations. It tries to get closer to the bottom of AI's complicated behavior by focusing on its changes, problems, and moral roots in human activities. A careful review of the research shows where there are holes and gives a full picture of the dangers …

    Published in Journal Of Network security · Vol. 12, Issue 1, 2024 · pp. 8–12 Read article

  • Published Subscription Review Article

    Future-proofing the Mind: Fostering Robust Innovation in Soft Computing and Computational Intelligence

    By Prashant J. Viradiya, Hirenkumar K. Mistry, Amit M. Goswami

    Abstract: This study examines the impact of Computer Science (CS) and Soft Computing (SC) on a few scholarly disciplines and way of life. The study considers points to improve calculation execution by utilizing computational intelligence (CI) techniques, progressing the steadiness of statistical classification (SC) models, and optimizing them through algorithmic upgrades. These adjustments encourage the method of altering, selecting, and creating oneself, indeed in challenging circumstances. The effect on work, protection, …

    Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 1–6 Read article

  • Published Subscription Review Article

    Advancements in Reinforcement Learning: A Comprehensive Analysis of Algorithms, Applications, and Future Directions in Artificial Intelligence

    By Prashant J. Viradiya, Amit M. Goswami, Hirenkumar K. Mistry

    Abstract: This work provides an overview of Reinforcement Learning (RL), an important field of artificial intelligence (AI) aims to provide the long-term benefits by learning a relating with a given environment. It spells out everything, what agents and environments do, to how rewards, states, and behaviours. It spent lot of time on looking the most usable RL algorithms, like DQN, SARSA, and Q-Learning. These studies provide a clear view of RL. …

    Published in E-Commerce for Future & Trends · Vol. 11, Issue 1, 2024 · pp. 17–22 Read article

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