地球资源数据云——数据资源详情

声学灭火器火灾数据集

发布时间：2026-03-17 14:32:26资源ID：2031260773991747586资源类型：免费

该数据集《Acoustic Extinguisher Fire Dataset》主要用于多分类任务，数据形态以文本为主，应用场景偏向交通/汽车。 题目说明：Acoustic Extinguisher Fire Dataset 任务类型：文本多分类。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。 DATASET: https://www.muratkoklu.com/datasets/ CV:https://www.muratkoklu.com/en/publications/ Yavuz Selim TASPINAR, Murat KOKLU and Mustafa ALTIN Citation Request : 1: KOKLU M., TASPINAR Y.S., (2021). Determining the Extinguishing Status of Fuel Flames With Sound Wave by Machine Learning Methods. IEEE Access, 9, pp.86207 - 86216, Doi: 10.1109/ACCESS.2021.3088612 Link: https://ieeexplore.ieee.org/document/9452168 (Open Access) https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9452168 2: TASPINAR Y.S., KOKLU M., ALTIN M., (2021). Classification of Flame Extinction Based on Acoustic Oscillations using Artificial Intelligence Methods. Case Studies in Thermal Engineering, 28, 101561, Doi: 10.1016/j.csite.2021.101561 Link: https://www.sciencedirect.com/science/article/pii/S2214157X21007243 (Open Access) https://www.sciencedirect.com/sdfe/reader/pii/S2214157X21007243/pdf

声学灭火器火灾数据集

摘要概览

该数据集《Acoustic Extinguisher Fire Dataset》主要用于多分类任务，数据形态以文本为主，应用场景偏向交通/汽车。 题目说明：Acoustic Extinguisher Fire Dataset

任务类型：文本多分类。

建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。

评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。

可用文件：未检测到标准 CSV，可优先查看目录中的索引或说明文件。

DATASET: https://www.muratkoklu.com/datasets/ CV:https://www.muratkoklu.com/en/publications/

Yavuz Selim TASPINAR, Murat KOKLU and Mustafa ALTIN

Citation Request : 1: KOKLU M., TASPINAR Y.S., (2021). Determining the Extinguishing Status of Fuel Flames With Sound Wave by Machine Learning Methods. IEEE Access, 9, pp.86207 - 86216, Doi: 10.1109/ACCESS.2021.3088612 Link: https://ieeexplore.ieee.org/document/9452168 (Open Access) https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9452168

2: TASPINAR Y.S., KOKLU M., ALTIN M., (2021). Classification of Flame Extinction Based on Acoustic Oscillations using Artificial Intelligence Methods.

Case Studies in Thermal Engineering, 28, 101561, Doi: 10.1016/j.csite.2021.101561 Link: https://www.sciencedirect.com/science/article/pii/S2214157X21007243 (Open Access) https://www.sciencedirect.com/sdfe/reader/pii/S2214157X21007243/pdf