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Measuring Carbon Emission of a Convolutional Neural Network

https://doi.org/10.2139/ssrn.4644598
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/jama.2017.18152openalex-extracted
Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes
inferredcites →https://doi.org/10.1002/ima.22569openalex-extracted
DHS‐CapsNet : Dual horizontal squash capsule networks for lung and colon cancer classification from whole slide histopathological images
inferredcites →https://doi.org/10.1016/j.cell.2018.02.010openalex-extracted
Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning
inferredcites →https://doi.org/10.1016/j.compbiomed.2021.104827openalex-extracted
Disease type detection in lung and colon cancer images using the complement approach of inefficient sets
inferredcites →https://doi.org/10.1016/j.egyai.2021.100091openalex-extracted
AI-Assisted approach for building energy and carbon footprint modeling
inferredcites →https://doi.org/10.1016/j.eneco.2009.10.003openalex-extracted
Total factor carbon emission performance: A Malmquist index analysis
inferredcites →https://doi.org/10.1016/j.jclepro.2015.04.024openalex-extracted
Household carbon emission research: an analytical review of measurement, influencing factors and mitigation prospects
inferredcites →https://doi.org/10.1016/j.jclepro.2016.03.098openalex-extracted
A better carbon footprint label
inferredcites →https://doi.org/10.1016/j.jclepro.2016.09.052openalex-extracted
Carbon emission and its decoupling research of transportation in Jiangsu Province
inferredcites →https://doi.org/10.1016/j.jclepro.2021.129181openalex-extracted
Research on low-carbon campus based on ecological footprint evaluation and machine learning: A case study in China
inferredcites →https://doi.org/10.1016/j.jvcir.2022.103685openalex-extracted
Green learning: Introduction, examples and outlook
inferredcites →https://doi.org/10.1016/j.neucom.2018.09.038openalex-extracted
Recent advances in convolutional neural network acceleration
inferredcites →https://doi.org/10.1016/j.preteyeres.2018.07.004openalex-extracted
Artificial intelligence in retina
inferredcites →https://doi.org/10.1016/j.procir.2019.04.095openalex-extracted
Digital twin-driven carbon emission prediction and low-carbon control of intelligent manufacturing job-shop
inferredcites →https://doi.org/10.1016/j.proeng.2015.08.870openalex-extracted
Applications of Deep Learning for Smart Water Networks
inferredcites →https://doi.org/10.1016/j.resconrec.2017.10.035openalex-extracted
Drivers of carbon emission intensity change in China
inferredcites →https://doi.org/10.1109/access.2022.3150924openalex-extracted
Malignancy Detection in Lung and Colon Histopathology Images Using Transfer Learning With Class Selective Image Processing
inferredcites →https://doi.org/10.3390/en13236354openalex-extracted
Reinforcement Learning-Based School Energy Management System
inferredcites →https://doi.org/10.3390/su14095172openalex-extracted
Unraveling the Hidden Environmental Impacts of AI Solutions for Environment Life Cycle Assessment of AI Solutions
inferredcites →https://doi.org/10.35940/ijeat.f8587.088619openalex-extracted
Deep Learning to Detect Skin Cancer using Google Colab
inferredcites →https://doi.org/10.48550/arxiv.2210.00965openalex-extracted

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inferred← citeshttps://doi.org/10.1109/ntms65597.2025.11076733openalex-snapshot
Comparative Analysis of SNN and CNN Models for Energy Efficient Intrusion Detection
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