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

2 publications

  • Published Subscription Original Research

    AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications

    By Aastha Sharma, Shilpi Saxena, Jolly Pandey, Ashish Singh, Vaibhav Chaudhari, Mritunjay Kr. Ranjan

    Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …

    Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article

  • Published Subscription Original Research

    Trapped in the Feed: The Psychology of Social Media Addiction, Algorithms, and Fear of Missing Out (FoMO)

    By Kanika Sharama, Vanshika Yadav, Shilpi Saxena, Jolly Pandey, Ashish Singh, Mritunjay Kr. Ranjan

    Abstract: Social media has now become the most crucial part of our life which has multiple advantages, such as connecting with old friends, sharing personal experiences, creating a good social circle, and accessing knowledgeable information. However, excessive use can result in social media addiction. This research paper aims to determine the psychology behind social media addiction and its factors, how the psychological behaviors can lead to social media addiction, the role …

    Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 3, 2024 · pp. 8–19 Read article

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