Machine learning-assisted approaches in modernized plant breeding programs
In the face of a growing global population, plant breeding is being used as a sustainable tool
for increasing food security. A wide range of high-throughput omics technologies have been …
for increasing food security. A wide range of high-throughput omics technologies have been …
An Overview of GPT-4's Characteristics through the Lens of 10V's of Big Data
OM Alyasiri, MN Alrasheedy - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The vast reservoirs of archival and consequential data within Big Data present an invaluable
resource for organizations, capable of fortifying business decisions on factual evidence …
resource for organizations, capable of fortifying business decisions on factual evidence …
Efficient hierarchical storage management empowered by reinforcement learning
With the rapid development of big data and cloud computing, data management has
become increasingly challenging. Over the years, a number of frameworks for data …
become increasingly challenging. Over the years, a number of frameworks for data …
Exploring GPT-4's Characteristics Through the 5Vs of Big Data: A Brief Perspective
OM Alyasiri, AH Ali - Babylonian Journal of Artificial …, 2023 - journals.mesopotamian.press
In the dynamic field of modern artificial intelligence, GPT-4 emerges as a key participant,
addressing challenges similar to Big Data's 5Vs—Volume, Velocity, Variety, Veracity, and …
addressing challenges similar to Big Data's 5Vs—Volume, Velocity, Variety, Veracity, and …
Automating IoT data-intensive application allocation in clustered edge computing
R Dautov, S Distefano - IEEE Transactions on Knowledge and …, 2019 - ieeexplore.ieee.org
Enabling data processing at the network edge, as close to the actual source of data as
possible, is a challenging, yet realistic goal to be achieved by the Internet of Things (IoT) …
possible, is a challenging, yet realistic goal to be achieved by the Internet of Things (IoT) …
Enhancement of human complex activity recognition using wearable sensors data with inceptiontime network
P Jantawong, A Jitpattanakul… - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Effective human activity recognition can be incredibly beneficial in big data applications like
ambient healthcare-supported living. Deep learning (DL) techniques have considerably …
ambient healthcare-supported living. Deep learning (DL) techniques have considerably …
A structured approach towards big data identification
Big data is a” relative” concept. It is the combination of data, application, and platform
properties. The term big data has been used with almost every problem involving large size …
properties. The term big data has been used with almost every problem involving large size …
Towards a novel framework for automatic big data detection
Big data is a” relative” concept. It is the combination of data, application, and platform
properties. Recently, big data specific technologies have emerged, including software …
properties. Recently, big data specific technologies have emerged, including software …
Querying on large and complex databases by content: Challenges on variety and veracity regarding real applications
The amount and variety of digital data currently being generated, stored and analyzed,
including images, videos, and time series, have brought challenges to data administrators …
including images, videos, and time series, have brought challenges to data administrators …
A method for constructing a dataset to reveal the industrial behaviour of big data
MKM Nasution - IOP Conference Series: Materials Science and …, 2020 - iopscience.iop.org
Dataset is a set of data that becomes the standard for showing the behaviour of something.
In this case, the industry. For this situation, the industry. Be that as it may, each dataset …
In this case, the industry. For this situation, the industry. Be that as it may, each dataset …