Time series forecasting with volatility activation function

F Kayim, A Yilmaz - IEEE Access, 2022 - ieeexplore.ieee.org
Time series forecasting is the method of predicting future values of a model by reviewing its
past data. Various models like traditional approaches, statistical methods, moving average …

Analysis on the inherent noise tolerance of feedforward network and one noise-resilient structure

W Lu, Z Zhang, F Qin, W Zhang, Y Lu, Y Liu, Y Zheng - Neural Networks, 2023 - Elsevier
In the past few decades, feedforward neural networks have gained much attraction in their
hardware implementations. However, when we realize a neural network in analog circuits …

A novel, flexible circuit used to implement selected mathematical operations for AI algorithms optimized for hardware applications

Z Długosz, R Długosz, T Talaśka - Journal of Computational and Applied …, 2023 - Elsevier
The paper presents a novel circuit that enables an implementation of various mathematical
operations with automatic conversion of the resulting multi-bit digital signals into voltage …

Derivation of Weibull Distributions From Spike-like Inputs in Artificial Neural Networks

H Nieto-Chaupis - 2024 International Conference on Electrical …, 2024 - ieeexplore.ieee.org
The idea that artificial neural network based at perceptron can be expressed as a family of
Weibull functions is explored. Basically, it is assumed that “spike” inputs produce a kind of …

Virtual Dressing Room Using Deep Learning

SB Kurtakoti, V Kavana, TY Manasa… - … on Advances in …, 2024 - ieeexplore.ieee.org
Clients Fashion in the twenty-first century has become intertwined with daily life, varying
based on factors like physical stature, gender, and social context. Despite the rise of online …

Sigmoid Functions Applied in Proportional+ Resonant Reference for Current Harmonic Sharing

BM Zilli, LJR Silva, MVR Campos… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
The concept of distributed generation and microgrids allowed different alternative of power
sources to be integrated to the main grid, made possible due to the evolution and …

Artificial Neural Network (ANN) design using Compute-in-Memory

T Moposita - 2023 - theses.hal.science
Nowadays, the era of” More than Moore” has arisen as a significant influence in light of the
limitations anticipated by Moore's law. The computing systems are exploring alternative …

Detection and Classification of Non-Proliferation Diabetic Retinopathy using VGG-19 CNN Algorithm

B Rakesh, D Ragavi, MK Reddy… - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Microvascular leakage within the retina causes the illness known as diabetic retinopathy
(DR) in the eye. For people with diabetes mellitus (DM), diabetic retinopathy is the main …

[PDF][PDF] SISTEMA INFORMÁTICO DE APOYO AL PROCESO DE GESTIÓN DE RECURSOS MATERIALES EN LOS CENTROS DE LA EMPRESA DE …

KD Romero - researchgate.net
RESUMEN RESUMEN La Empresa de Telecomunicaciones de Cuba depende en gran
medida de un correcto funcionamiento de sus unidades organizativas. El papel de los …

Derin Öğrenme Kullanarak Türkçe Için bir Kelime Anlamı Belirginleştirme Uygulaması

T Gümüşdağ - 2023 - search.proquest.com
Doğal dilleri anlamaya yönelik yapılan ilk sembolik yaklaşımlar insanlar tarafından yazılan
kuralları kullanarak metnin anlamını yakalamaya çalışmaktadır. Ancak bu tür kural tabanlı …