Abstract: This paper explores an enhanced learning model of the Elman Neural Network with a view of addressing problems of local minima and slow convergence time by using the sine cosine algorithm.

If we say we have no sin, we deceive ourselves, and the truth is not in us. If we confess our sins, he is faithful and just to forgive us our sins and to cleanse us from all unrighteousness. If we say ...

Abstract: This paper presents an absolute capacitive rotary encoder using a sample-and-hold demodulator (SHD) to reduce interference between sine and cosine channels. The capacitive encoder measures ...

Nearly a third of US teenagers say they use AI chatbots daily, a new study finds, shedding light on how young people are embracing a technology that’s raised critical safety concerns around mental ...