Results 331 to 340 of about 1,587,623 (364)

Analysis of low-dropout regulator topologies for low-voltage regulation

2003 IEEE Conference on Electron Devices and Solid-State Circuits (IEEE Cat. No.03TH8668), 2004
The design considerations of integrated CMOS low-voltage low-dropout regulators are addressed in this paper. The limitations of a generic LDO based on dominant-pole compensation are discussed. Then, LDO with a voltage-buffer stage and the corresponding problems in low-voltage design are discussed.
null Sai Kit Lau, null Ka Nang Leung, P.K.T. Mok   +2 more
openaire   +1 more source

A low power load adaptive low-dropout voltage regulator

2020
108
openaire   +1 more source

A Survey of Machine Learning Approaches for Student Dropout Prediction in Online Courses

ACM Computing Surveys, 2021
Bardh Prenkaj, Paola Velardi, Damiano Distante   +2 more
exaly  

A wide-temperature range (77–400 K) CMOS low-dropout voltage regulator system

Analog Integrated Circuits and Signal Processing, 2020
Halil İbrahim Kayıhan, Benan Beril Inam, Batuhan Doğan, M. B. Yelten   +3 more
semanticscholar   +1 more source

A Feedforward Controlled Digital Low-Dropout Regulator With Weight Redistribution Algorithm and Body Voltage Control for Improving Line Regulation With 99.99% Current Efficiency and 0.5-mV Output Voltage Ripple

IEEE Journal of Solid-State Circuits, 2023
Bo-Hao Chen, Tzu-Ying Wu, Kuo-Lin Zheng, Ke-Horng Chen, Ying-Hsi Lin, Shian-Ru Lin, Tsung-Yen Tsai   +6 more
semanticscholar   +1 more source

Digital Defect-Oriented Test Methodology for Flipped Voltage Follower Low Dropout (LDO) Voltage Regulators

2022 35th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design (SBCCI), 2022
Marampally Saikiran, Mona Ganji, Degang Chen   +2 more
openaire   +1 more source

Predicting student's dropout in university classes using two-layer ensemble machine learning approach: A novel stacked generalization

Computers and Education Artificial Intelligence, 2022
Jovial Niyogisubizo, Eric Nziyumva
exaly  

Dropout rates in clinical trials of smartphone apps for depressive symptoms: A systematic review and meta-analysis

Journal of Affective Disorders, 2020
John B Torous, Jessica M Lipschitz, Joseph Firth   +2 more
exaly  

Dropout rates of in‐person psychosocial substance use disorder treatments: a systematic review and meta‐analysis

Addiction, 2020
Sara N Lappan, Andrew Brown, Peter S Hendricks   +2 more
exaly  

Rates of Attrition and Dropout in App-Based Interventions for Chronic Disease: Systematic Review and Meta-Analysis

Journal of Medical Internet Research, 2020
Gideon Meyerowitz-Katz, Sumathy Ravi, Leonard F Arnolda   +2 more
exaly