Latest Articles for Energy Consumption

Europe shifts to hydrogen and carbon capture amid reduced gas supplies.

A new learning algorithm improves scheduling for mobile networks.

A technique to reduce code model size while maintaining performance.

Examining the climate effects of computing systems and their implications for sustainability.

This study improves SNN performance by factoring in axonal signal delays.

Innovative approach to secure communications in resource-limited IoT devices.

A study on measuring escalator energy use for better maintenance practices.

FeGaTe shows promise for efficient data storage and electronics.

Analyzing causal relationships is key for accurate energy consumption predictions in building design.

UAVs improve data processing in Mobile Edge Computing networks amidst challenges.

Advanced technologies are enhancing temperature predictions in reheating furnaces for better efficiency.

A method for creating applications that balance energy use and performance.

Learn how to apply energy-saving practices to web development.

This paper discusses improving energy efficiency in devices using harvested power.

This study examines efficient drone path planning with sensor networks.

LEACH-RLC protocol enhances energy management in IoT networks through smart clustering.

DEFT improves efficiency and energy use in large language models with lower activation density.

Enhancements in federated learning improve efficiency and privacy for IoT applications.

HAPs offer an eco-friendly alternative to traditional data centers.

This article discusses the SpongeNet Attack and its impact on energy consumption in deep learning models.

A study on energy consumption in Unity and Unreal Engine for video games.

A look at anomaly detection for improved energy use in sports facilities.

A new approach to enhance mobile live video streaming quality and energy efficiency.

A look into optimizing energy use in mobile networks through new policies.

Examining the energy efficiency issues in training AI systems and potential solutions.

A new method enhances energy consumption predictions using physical principles.

Research shows how power capping GPUs can reduce energy use and temperatures.

A new approach to enhance CPU inference efficiency in machine learning models.

A new method enhances DNN efficiency on limited-resource devices.

Insights into energy use and efficiency in deep learning models.

Research focuses on energy-efficient trajectory planning for UAVs in communication.

New strategies enhance IoT network performance and energy efficiency.

A new framework aims to cut carbon footprints in large language models.

A new method enhances vehicle trajectory data accuracy using connected vehicles.

This article examines data reduction methods in deep learning for better efficiency.

TinySaver combines tiny models and larger ones for efficient AI processing.

Exploring energy-saving methods for smartphone video streaming.

Examining the impact of attacks on machine learning efficiency and proposing new strategies.

A novel strategy combines offline and online learning for better task handling.

A look at optimizing HVAC systems in electric buses for efficiency and comfort.