Adaptive IoT and AI-Enhanced QualityAssurance System for Sustainable and Secure Bakery Production DOI Open Access

Idris Hussain

International Journal of Innovative Science and Research Technology (IJISRT), Год журнала: 2024, Номер unknown, С. 638 - 642

Опубликована: Ноя. 25, 2024

This research is the response of growing demand for high- quality, sustainable bakery products, an adaptive IoT and AI-enhanced quality assurance framework tailored production. The proposed system integrates real-time sensors with machine learning algorithms, enabling dynamic adjustments to baking parameters based on environmental variations product specifications. self- aims ensure consistent while reducing production inefficiencies. To address cybersecurity concerns associated networks, incorporates anomaly detection algorithms secure communication protocols, enhancing resilience against cyber threats safeguarding operational integrity. also prioritizes sustainability, utilizing energy-efficient devices exploring energy harvesting from equipment power sensors, thereby minimizing footprint bakery's infrastructure.In addition, features a consumer feedback loop, end-users contribute insights which further refines AI in alignment market preferences. Through advanced data management, minimizes waste optimizes resource use, advancing create scalable, secure, eco-conscious solution that revolutionizes production, setting precedent applications food manufacturing.

Язык: Английский

Machine learning and metaheuristic optimization algorithms for feature selection and botnet attack detection DOI

Mahdieh Maazalahi,

Soodeh Hosseini

Knowledge and Information Systems, Год журнала: 2025, Номер unknown

Опубликована: Янв. 13, 2025

Язык: Английский

Процитировано

1
ResDNViT: A hybrid architecture for Netflow-based attack detection using a residual dense network and Vision Transformer DOI Creative Commons
Hassan Wasswa, Hussein A. Abbass, Timothy Lynar

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 127504 - 127504

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Adaptive IoT and AI-Enhanced QualityAssurance System for Sustainable and Secure Bakery Production DOI Open Access

Idris Hussain

International Journal of Innovative Science and Research Technology (IJISRT), Год журнала: 2024, Номер unknown, С. 638 - 642

Опубликована: Ноя. 25, 2024

This research is the response of growing demand for high- quality, sustainable bakery products, an adaptive IoT and AI-enhanced quality assurance framework tailored production. The proposed system integrates real-time sensors with machine learning algorithms, enabling dynamic adjustments to baking parameters based on environmental variations product specifications. self- aims ensure consistent while reducing production inefficiencies. To address cybersecurity concerns associated networks, incorporates anomaly detection algorithms secure communication protocols, enhancing resilience against cyber threats safeguarding operational integrity. also prioritizes sustainability, utilizing energy-efficient devices exploring energy harvesting from equipment power sensors, thereby minimizing footprint bakery's infrastructure.In addition, features a consumer feedback loop, end-users contribute insights which further refines AI in alignment market preferences. Through advanced data management, minimizes waste optimizes resource use, advancing create scalable, secure, eco-conscious solution that revolutionizes production, setting precedent applications food manufacturing.

Язык: Английский

Процитировано

0