Using an artificial neural network for improving the prediction of project duration
I Lishner, A Shtub - Mathematics, 2022 - mdpi.com
One of the most challenging tasks in project management is estimating the duration of a
project. The unknowns that accompany projects, the different risks, the uniqueness of each …
project. The unknowns that accompany projects, the different risks, the uniqueness of each …
Software platform for high-fidelity-data-based artificial neural network modeling and process optimization in chemical engineering
J Moon, DQ Gbadago, G Hwang, D Lee… - Computers & Chemical …, 2022 - Elsevier
Artificial neural networks are revolutionizing the field of engineering because of their ability
to model complex non-linear problems without explicit programming. Their applications in …
to model complex non-linear problems without explicit programming. Their applications in …
Sensitivity of a chaotic logic gate
NF Charlot, DJ Gauthier - … on Circuits and Systems II: Express …, 2022 - ieeexplore.ieee.org
Chaotic logic gates or 'chaogates' are a promising mixed-signal approach to designing
universal computers. However, chaotic systems are exponentially sensitive to small …
universal computers. However, chaotic systems are exponentially sensitive to small …
Deep Learning for Green Chemistry: An AI-Enabled Pathway for Biodegradability Prediction and Organic Material Discovery
DQ Gbadago, G Hwang, K Lee, S Hwang - Korean Journal of Chemical …, 2024 - Springer
The increasing global demand for eco-friendly products is driving innovation in sustainable
chemical synthesis, particularly the development of biodegradable substances. Herein, a …
chemical synthesis, particularly the development of biodegradable substances. Herein, a …
Integrated Simulation and Calibration Framework for Heating System Optimization
K Djebko, D Weidner, M Waleska, T Krey, S Rausch… - Sensors, 2024 - mdpi.com
In a time where sustainability and CO2 efficiency are of ever-increasing importance, heating
systems deserve special considerations. Despite well-functioning hardware, inefficiencies …
systems deserve special considerations. Despite well-functioning hardware, inefficiencies …
Optimized Design of a Self-Biased Amplifier for Seizure Detection Supplied by Piezoelectric Nanogenerator: Metaheuristic Algorithms versus ANN-Assisted Goal …
This work is dedicated to parameter optimization for a self-biased amplifier to be used in
preamplifiers for the diagnosis of seizures in neuro-diseases such as epilepsy. For the sake …
preamplifiers for the diagnosis of seizures in neuro-diseases such as epilepsy. For the sake …
[图书][B] Applications of Complex Network Dynamics in Ultrafast Electronics
N Charlot - 2022 - search.proquest.com
The success of modern digital electronics relies on compartmentalizing logical functions into
individual gates, and controlling their order of operations via a global clock. In the absence …
individual gates, and controlling their order of operations via a global clock. In the absence …
Analog Security
Hardware Trojan insertion, cloning, forgery, overproduction, recycling, and reverse
engineering (RE) problems are increasing yearly in the semiconductor supply chain …
engineering (RE) problems are increasing yearly in the semiconductor supply chain …
[PDF][PDF] Toward a Voltage Reconfigurable Logic Gate
IA Díaz-Díaz, E Campos - revistadigital.amca.mx
Currently, novel approaches are being developed to overcome the imminent Moore's law
failure. The techniques attempt to gain greater computing power by reducing the number of …
failure. The techniques attempt to gain greater computing power by reducing the number of …
Adaptive Integral Terminal Sliding Mode Guidance and Control for a UUV Under Perturbations
AGGT de Monterrey, HCT de Monterrey - revistadigital.amca.mx
This article addresses robust guidance and control for a fully-actuated underwater
autonomous vehicle under external perturbations. A cascade strategy based on an adaptive …
autonomous vehicle under external perturbations. A cascade strategy based on an adaptive …