From DevOps to MLOps: Overview and application to electricity market forecasting
In the Software Development Life Cycle (SDLC), Development and Operations (DevOps)
has been proven to deliver reliable, scalable software within a shorter time. Due to the …
has been proven to deliver reliable, scalable software within a shorter time. Due to the …
Performance enhancement of artificial intelligence: A survey
The advent of machine learning (ML) and Artificial intelligence (AI) has brought about a
significant transformation across multiple industries, as it has facilitated the automation of …
significant transformation across multiple industries, as it has facilitated the automation of …
Machine learning-based microclimate model for indoor air temperature and relative humidity prediction in a swine building
Simple Summary Indoor air temperature (IAT) and indoor relative humidity (IRH) are the
prominent microclimatic variables. Among other livestock animals, pigs are more sensitive to …
prominent microclimatic variables. Among other livestock animals, pigs are more sensitive to …
Forecasting public transit passenger demand: With neural networks using APC data
Abstract The implementation of Intelligent Transportation Systems (ITS) as a part of smart
mobility is crucial for solving the current problems of the transportation industry. The setting …
mobility is crucial for solving the current problems of the transportation industry. The setting …
A hybrid machine learning framework for predicting students' performance in virtual learning environment
E Evangelista - International Journal of Emerging Technologies in …, 2021 - learntechlib.org
Abstract Virtual Learning Environments (VLE), such as Moodle and Blackboard, store vast
data to help identify students' performance and engagement. As a result, researchers have …
data to help identify students' performance and engagement. As a result, researchers have …
ADDNS: An asymmetric dual deep network with sharing mechanism for medical image fusion of CT and MR-T2
W Huang, H Zhang, H Guo, W Li, X Quan… - Computers in Biology and …, 2023 - Elsevier
Medical images with different modalities have different semantic characteristics. Medical
image fusion aiming to promotion of the visual quality and practical value has become …
image fusion aiming to promotion of the visual quality and practical value has become …
Bangla sign alphabet recognition with zero-shot and transfer learning
Bangla, being the fifth most spoken language in the world has its own distinct sign language
with two methods (one-handed and two-handed) of representation. However, a standard …
with two methods (one-handed and two-handed) of representation. However, a standard …
A data-driven binary-classification framework for oil fingerprinting analysis
A marine oil spill is one of the most challenging environmental issues, resulting in severe
long-term impacts on ecosystems and human society. Oil dispersants are widely applied as …
long-term impacts on ecosystems and human society. Oil dispersants are widely applied as …
A machine learning solution for video delivery to mitigate co-tier interference in 5G HetNets
The exponential demand for multimedia services is one reason behind the substantial
growth of mobile data traffic. Video traffic patterns have significantly changed in the past two …
growth of mobile data traffic. Video traffic patterns have significantly changed in the past two …
A comparative analysis of supervised machine learning algorithms for electricity demand forecasting
Accurate electricity demand forecasting is crucial for efficient, economical and stable
operation of power system grid. With the increasing integration of intermittent sources, need …
operation of power system grid. With the increasing integration of intermittent sources, need …