Techaid: Ai-driven application for prognostic maintenance for smartphone hardware using linear regression (Record no. 37028)

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fixed length control field 02373nam a22002417a 4500
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control field ft8761
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control field 20251105144100.0
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fixed length control field 251105b ||||| |||| 00| 0 eng d
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Language code of text/sound track or separate title engtag
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Classification number T58.4 A48 2025
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Personal name Alvarez, Ansherina T.; Enguio, Joshua Jamir R.
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Title Techaid: Ai-driven application for prognostic maintenance for smartphone hardware using linear regression
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture .
Name of producer, publisher, distributor, manufacturer .
Date of production, publication, distribution, manufacture, or copyright notice c2025
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Other physical details Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2025
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Formatted contents note ABSTRACT: Smartphones have become essential tools for both personal and professional use, playing a critical role in maintaining efficient workflows across communication, productivity, and entertainment. However, as these devices grow more complex, hardware malfunctions can significantly disrupt their functionality. A statistic shows that the revenue of the industry “Repair of Computers and Communication Equipment” in the Philippines from 2012 to 2017 is projected to reach approximately 64.6 million USD by 2024 (Statista Research Department, 2023). Despite the growing demand for smartphone repair services, the lack of intelligent diagnostic tools often leaves users unaware of potential hardware defects until significant damage has occurred, leading to costly repairs, replacements, or loss of productivity. The purpose of this study is to predict smartphone hardware and provide preventive measures. The researchers from Pamantasan ng Lungsod ng Maynila (PLM) conducted the study using a convenience sample of 114 respondents. The study applied the ISO/IEC 25010 standard to evaluate the application’s functional suitability, usability, maintainability, and performance efficiency. The results demonstrated overall satisfaction across all evaluated categories: functional suitability scored a mean of 4.41, usability 4.34, and both maintainability and performance efficiency 4.37. The findings highlight the app’s effectiveness in delivering accurate diagnostics and preventive recommendations, offering significant value by reducing the impact of hardware failures on users.
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Classification Filipiniana
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Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent Location Current Location Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Item type
          Filipiniana-Thesis PLM PLM Filipiniana Section 2025-10-15   T58.4 A48 2025 FT8761 2025-11-05 2025-11-05 Thesis/Dissertation

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