Energy-Aware images Processing Techniques for High-Efficiency Applications in IoT and Edge Computing Systems

This study emphasizes the importance of energy-aware Techniques for processing image algorithms in the Internet of Things (IoT) to create secure IoT and energy efficiency. IoT- systems dependent (IoTSs) consume a significant amount of energy. This ranks as one of the most serious challenges linked with IoTSs. Another challenge is that digital asset protection is a significant task and complexity. The processing of images has lately played a critical role in tackling these challenges, As outlined in this article. Proposed techniques are developed daily, so IoT deployment is now clearly integrated into our daily activities. Several effective image-processing algorithms for IoTSs to address such difficulties have been developed. This study examines processing for image algorithms used by various kinds of IoTSs. The novel contribution is to offer viewers an illustration of appropriate Techniques for processing image algorithms for usage with specific sorts of IoT systems. Both analysis and discussion have produced showing some possible solutions (Techniques for processing image algorithms) that might be useful in the development of an intelligent IoT system that is secure, and energy-efficient.

Authors

Publication Details

Journal
Journal of Information Systems Engineering & Management
Published
2025-03-06
DOI
https://doi.org/10.52783/jisem.v10i16s.2596
Primary Topic
Advanced Neural Network Applications
Type
article
Field-Weighted Citation Impact
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article

Energy-Aware images Processing Techniques for High-Efficiency Applications in IoT and Edge Computing Systems

Suad Kakil Ahmed
Journal of Information Systems Engineering & Management
Advanced Neural Network Applications
article

Energy-Aware images Processing Techniques for High-Efficiency Applications in IoT and Edge Computing Systems

Suad Kakil Ahmed
article en

Abstract

This study emphasizes the importance of energy-aware Techniques for processing image algorithms in the Internet of Things (IoT) to create secure IoT and energy efficiency. IoT- systems dependent (IoTSs) consume a significant amount of energy. This ranks as one of the most serious challenges linked with IoTSs. Another challenge is that digital asset protection is a significant task and complexity. The processing of images has lately played a critical role in tackling these challenges, As outlined in this article. Proposed techniques are developed daily, so IoT deployment is now clearly integrated into our daily activities. Several effective image-processing algorithms for IoTSs to address such difficulties have been developed. This study examines processing for image algorithms used by various kinds of IoTSs. The novel contribution is to offer viewers an illustration of appropriate Techniques for processing image algorithms for usage with specific sorts of IoT systems. Both analysis and discussion have produced showing some possible solutions (Techniques for processing image algorithms) that might be useful in the development of an intelligent IoT system that is secure, and energy-efficient.

Journal of Information Systems Engineering & ManagementVol. 10(16s)
Openalex Percentile: Top 97%
Advanced Neural Network Applications
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