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    <name>Conference Paper</name>
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              <text>Stress Management among Employees in Information Technology Sector Using Deep Learning</text>
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              <text>Deep Learning; Employees; Information Technology; Management; Stress</text>
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              <text>Information technology is one of the areas in India that is developing the quickest India's information technology (IT) administrations industry has become more merciless. The information technology area has been managing additional difficult issues like specialized development, administration enhancement, and worldwide overhauling starting from the beginning of this long period. Along these lines, it is unimaginable for everybody to adjust to the moving difficulties they experience in the field of information technology, which causes stress. Stress is something that individuals battle with for most of their lives. Albeit the information technology (IT) industry is notable for its hazardous turn of events and development, it is likewise portrayed by high worker burnout and stress levels. This theoretical proposes an original strategy for overseeing stress in the IT business that utilizes deep learning methods. This study utilizes deep learning calculations to expect, distinguish, and decrease stress makes all together location the earnest issue of stress among IT experts. The principal objective is to make a shrewd framework that can help organizations proactively recognize stress-related issues in their labor force and proposition specific cures.   2024 IEEE.</text>
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              <text>Soundarraj P.L.; Pelleti S.; John E.P.; Gadgil A.A.; Sehrawat A.; Yadav L.K.</text>
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              <text>Proceedings of 9th International Conference on Science, Technology, Engineering and Mathematics: The Role of Emerging Technologies in Digital Transformation, ICONSTEM 2024</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICONSTEM60960.2024.10568788" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICONSTEM60960.2024.10568788&lt;/a&gt;
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              <text>ISBN: 979-835036509-2</text>
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              <text>Soundarraj P.L., School of Business And Management, Christ University, Lavasa, Maharashtra, Pune, 412112, India; Pelleti S., Klh Global Business School, KoneruLakshmaiah Education Foundation (Deemed To Be University, Estd. U/S. 3 of Ugc Act 1956), Catefgory - I, NIRF University Ranking: 28, Hyderabad, India; John E.P., Srm Institute of Science &amp;amp; Technology, Faculty of Management, Chennai, 600026, India; Gadgil A.A., E&amp;amp;c, KLSGogte Institute of Technology, Karnataka, Belagavi, 590008, India; Sehrawat A., Amity Institute of Corporate Communication, Amity University, Uttar Pradesh, Noida, India; Yadav L.K., Amity Institute of Corporate Communication, Amity University, UP, Noida, India</text>
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