Unleashing the Power of AI DOI

Kiranbhai R. Dodiya,

K Sravan Kumar,

Akash Thakar

и другие.

Advances in finance, accounting, and economics book series, Год журнала: 2024, Номер unknown, С. 403 - 426

Опубликована: Дек. 13, 2024

AI-driven image analysis has significantly advanced various fields by improving precision, efficiency, and innovation. Convolutional Neural Networks (CNNs) enhance medical diagnostics through accurate pattern recognition, while Generative Adversarial (GANs) contribute to realistic visual effects in entertainment. In surveillance, facial recognition technologies boost security but raise privacy issues. Autonomous vehicles rely on AI for safe navigation real-time decision-making. Augmented Reality (AR) Virtual (VR) further expand AI's impact integrating digital elements into real virtual environments, enriching user experiences. However, challenges such as dataset biases, algorithmic transparency, ethical concerns must be addressed ensure responsible equitable use of these technologies.

Язык: Английский

Self-Automatic Threshold Technique For Eye Pupil Detection DOI
Fatin E. M. Al-Obaidi,

Ali J. M. A. Al-Saeed,

Ahmed J. M. Al-Zuhairi

и другие.

Journal of Optics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 3, 2025

Язык: Английский

Процитировано

0
Production of Bio-Oil via Pyrolysis of Banana Peel and Tire Waste for Energy Utilization DOI Creative Commons

Joaquim Augusto Pinto Rodrigues,

N Pinto,

Leonardo Leite

и другие.

Energies, Год журнала: 2024, Номер 17(23), С. 6149 - 6149

Опубликована: Дек. 6, 2024

The energy crisis and environmental degradation are pressing challenges, intensified by population growth the excessive generation of solid waste. Converting waste into energy, especially through pyrolysis, is a viable sustainable alternative. This thermal process transforms such as banana peels used tires high-value products, gas, char, bio-oil. study aims to evaluate production bio-oil from pyrolysis co-pyrolysis these materials, considering different proportions temperatures, well using an Artificial Neural Network (ANN) predict composition bio-oils. tests with 100% peel 75% mixed 25% tire showed decrease in yield increasing temperature, drop around 30% when comparing 500 °C 400 °C. In contrast, 50% each material resulted increases temperature rose. A Fourier Transform Infrared Spectroscopy (FTIR) analysis bio-oils presence relevant functional groups, while elemental ANN provided accurate predictions carbon, hydrogen, nitrogen content. results suggest that alternative for

Язык: Английский

Процитировано

1
Unleashing the Power of AI DOI

Kiranbhai R. Dodiya,

K Sravan Kumar,

Akash Thakar

и другие.

Advances in finance, accounting, and economics book series, Год журнала: 2024, Номер unknown, С. 403 - 426

Опубликована: Дек. 13, 2024

AI-driven image analysis has significantly advanced various fields by improving precision, efficiency, and innovation. Convolutional Neural Networks (CNNs) enhance medical diagnostics through accurate pattern recognition, while Generative Adversarial (GANs) contribute to realistic visual effects in entertainment. In surveillance, facial recognition technologies boost security but raise privacy issues. Autonomous vehicles rely on AI for safe navigation real-time decision-making. Augmented Reality (AR) Virtual (VR) further expand AI's impact integrating digital elements into real virtual environments, enriching user experiences. However, challenges such as dataset biases, algorithmic transparency, ethical concerns must be addressed ensure responsible equitable use of these technologies.

Язык: Английский

Процитировано

0