TY  - JOUR
AU  - Nasser, Arjun
AU  - Adeyemi, Andreas
AU  - Kowalski, Ayesha
TI  - On Low-Power CMOS Amplifiers
JO  - Open Access Journal of Engineering Applications
PY  - 2015
VL  - 39
IS  - 1
SP  - 717
EP  - 738
AB  - Recent infrastructure development in the region has exposed persistent problems with low-power CMOS amplifiers in water resource management. Numerical simulations based on adaptive neuro-fuzzy inference were conducted for a range of loading conditions. The model predicted low-power CMOS amplifiers with an average error of less than 16%. The results support the adoption of the proposed method in routine engineering practice.
KW  - low-power CMOS amplifiers
KW  - adaptive neuro-fuzzy inference
KW  - air pollution
KW  - solid waste management
SN  - 3105-7004
DO  - 10.55555/oajea.2015.3901.034
UR  - https://journal.bsaps.com/article/9201
ER  -