Replication Package Literature Review AI and Mobile Energy

NIAID Data Ecosystem2026-03-14 收录

移动设备能耗

AI能耗优化

数据链接：

https://zenodo.org/record/7369809 数据链接链接失效反馈

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资源简介：

Replication Package for "Artificial Intelligence: Both the Problem and the Solution for Mobile Energy Consumption"

创建时间：

2022-11-28

GreenHub

移动设备能耗

性能优化

GreenHub 是一个大规模协作采集的 Android 设备能耗和性能监测数据集，由 GreenHub 项目通过其 BatteryHub 应用收集真实世界的移动设备数据构成。该数据集包含超过千万条匿名采样记录，涵盖电池耗电情况、传感器状态、内存使用情况、电池电压与温度、运行进程信息、设备型号与网络状态等多维度特征，可用于分析移动操作系统的能耗行为、性能趋势、应用特性对耗电的影响等问题。该数据通过

GreenHub2026-02-01 更新1410

Towards a Sustainable Artificial Intelligence: A Case Study of Energy Efficiency in Decision Tree Algorithms

AI能耗优化

决策树算法评估

Base de dados dividida em 2 fases, baseada no artigo relacionado. A primeira fase contém dados sintéticos, que foram criados com o aplicativo MOA (https://moa.cms.waikato.ac.nz/). Já a segunda, comtém

Zenodo2021-04-27 更新10

A dataset from the daily use of features in Android devices

移动设备能耗

性能优化

The energy consumption of Android devices, measured via data collection from features, is a recurring theme in the literature. To evaluate the performance of such devices, databases are generated thro

Mendeley Data2024-06-23 更新300

Green ML Framework : Realistische Strategie für Energieeffizienz in hyperskalierter KI

AI能耗优化

可持续AI运营

Das Green ML Framework ist ein evidenzbasierter Leitfaden zur Reduktion des Energieverbrauchs in großskaligen KI-Systemen. Es identifiziert zwölf Hebelmechanismen über Hardware, Software, Architektur

Zenodo2025-12-22 更新00

Replication Package Literature Review AI and Mobile Energy

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