TY - GEN
T1 - Exponential Tolerance Reflected Estimation
AU - Kim, Song Kyoo
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This study provides an in-depth evaluation of methodologies pertaining to Exponential Tolerance Reflected Estimation (E-TRE). This innovative statistical framework aims to improve the accuracy of predictive models, particularly within the domains of Internet communication systems. By allowing for dynamic adjustments to tolerance intervals, the E-TRE techniques are capable of effectively accommodating diverse data distributions, which in turn enhances reliability in predictions within defined confidence limits. The research underscores the advantageous use of E-TRE for managing and assessing prediction errors, including the mean square error and mean absolute percentage error. The findings indicate substantial potential for E-TRE based approach improve user satisfaction, and aid in fostering environmental sustainability.
AB - This study provides an in-depth evaluation of methodologies pertaining to Exponential Tolerance Reflected Estimation (E-TRE). This innovative statistical framework aims to improve the accuracy of predictive models, particularly within the domains of Internet communication systems. By allowing for dynamic adjustments to tolerance intervals, the E-TRE techniques are capable of effectively accommodating diverse data distributions, which in turn enhances reliability in predictions within defined confidence limits. The research underscores the advantageous use of E-TRE for managing and assessing prediction errors, including the mean square error and mean absolute percentage error. The findings indicate substantial potential for E-TRE based approach improve user satisfaction, and aid in fostering environmental sustainability.
KW - computer networks
KW - exponential tolerance reflected estimation
KW - machine learning
KW - quality tolerance
KW - statistical analysis
KW - Tolerance reflected estimation
UR - https://www.scopus.com/pages/publications/105033584345
U2 - 10.1109/ICECIE66637.2025.11363763
DO - 10.1109/ICECIE66637.2025.11363763
M3 - Conference contribution
AN - SCOPUS:105033584345
T3 - Proceedings, International Conference on Electrical, Control and Instrumentation Engineering, ICECIE
SP - 1
EP - 4
BT - 2025 7th International Conference on Electrical, Control and Instrumentation Engineering, ICECIE 2025
PB - Institute of Electrical and Electronics Engineers
T2 - 7th International Conference on Electrical, Control and Instrumentation Engineering, ICECIE 2025
Y2 - 22 November 2025 through 23 November 2025
ER -