CORTEXA
← Browse
openalexFigshare2026-07-24Cited by 0

<b>Supporting dataset for the construction of a digital twin aquaculture farm based on underwater visual perception and water quality time-series prediction</b>

Anonymous Authors

该数据集支持了关于数字孪生水产养殖场的研究。它包含三部分:(1)1344条水质时间序列记录(溶解氧、温度、pH值、浊度、盐度、氨),在14天内每隔15分钟采样;(2)15,885条鱼类个体、死鱼和水下视频中漂浮残骸的视觉边界框注释;以及(3)8,640个序列级行为标签(正常、觅食、异常、静态),用于鱼类活动识别。所有数据均来自高密度海洋笼养养殖场地采集并注释。

View free PDFSource page

Related papers

openalexFigshare2026-07-25

A Real-World Cooking Oil Image Dataset for AI-Based Oil Quality Assessment

Md Mijanur Rahman, S. M. Saleh Ahmed, Md. Abul Bashar, Sumaiya Akter

This dataset contains 8,888 real-world images of cooking oils collected to support Artificial Intelligence (AI) and computer vision research in cooking oil quality assessment. The dataset consists of two cooking oil categories: Soyabean Oil and Mustard Oil. Images were collected…

View free PDFSource page
openalexFigshare2026-07-25

Digital Twin prototype of a 33/11kV substation

Ujjwal Dahal

Traditional power distribution networks within developing energy sectors frequently rely on legacy monitor-<br>ing systems or completely lack digitized telemetry, which severely limits situational awareness and delays<br>fault detection. To address these operational challenges, t…

View free PDFSource page
openalexFigshare2026-07-24

<b>Impact of Generative AI-Supported Competency-Based Instruction on the Undergraduate Electrical/Electronic Technology Education Students' Achievements: A Quasi-Experimental Study</b>

Nicholas Ogbonna Onele, Esther N Ogbonna, Ernest S. Yakubu

This study investigated the effectiveness of Generative AI-Supported Competency-Based Instruction on undergraduate students' technical skills, problem-solving ability, self-regulated learning, and employability skills in Electrical/Electronic Technology Education. The findings re…

View free PDFSource page
openalexFigshare2026-07-25

A Predictive Model for Organizational Decision-Making Quality in Healthcare Organizations Using Big Data Analytics Capabilities

Khairallah Al-Talafheh, Faizah Aplop, Ali Al‐Yousef, Mamoon Obiedat, Ahed Al-Sbou

This article presents a machine learning-based predictive framework for assessing organizational Decision-Making Quality (DMQ) using Big Data Analytics Capabilities (BDAC) in healthcare organizations. The proposed framework integrates five BDAC dimensions—organizational, technica…

View free PDFSource page
openalexFigshare2026-07-26

A Leaf Area Index dataset retrieved by benchmark-driven machine learning framework from Chinese Fengyun-3B VIRR data

Jiakai You, Yinghui Zhang, Yonghong Liu, Zhongwen Hu, Jingzhe Wang, G H Wu

Leaf Area Index (LAI) serves as a key biophysical parameter for characterizing vegetation canopy structure and ecosystem functions. To address the absence of LAI products for the Fengyun-3B (FY-3B) satellite and the limitations of current satellite LAI products, this study propos…

View free PDFSource page