A brief survey of machine learning methods and their sensor and IoT applications
This paper provides a brief survey of the basic concepts and algorithms used for Machine
Learning and its applications. We begin with a broader definition of machine learning and …
Learning and its applications. We begin with a broader definition of machine learning and …
Using machine learning to improve cost and duration prediction accuracy in green building projects
A major source of risk in green building projects (GBPs) is inaccurate human prediction of
the final project cost and duration, which in turn results in cost and schedule overruns (ie …
the final project cost and duration, which in turn results in cost and schedule overruns (ie …
A service oriented IoT architecture for disaster preparedness and forecasting system
The development of disaster preparedness and forecasting system integrating real-time
sensor data and time stringent computing is becoming increasingly important for mitigating …
sensor data and time stringent computing is becoming increasingly important for mitigating …
Predictive analytics with data visualization
S Boopathy, PS Kumar - 2022 - researchsquare.com
There has been tremendous growth for the need of analytics and BI tools in every
organization, in every sector such as finance, software, medicine and even astronomy in …
organization, in every sector such as finance, software, medicine and even astronomy in …
Underwater Terrain and Gravity aided inertial navigation based on Kalman filter
MR Khalilabadi - International Journal Of Coastal, Offshore And …, 2020 - ijcoe.org
In this paper, we present a new method for terrain and gravity aided navigation. Gravity
aided navigation and terrain aided navigation are map aided navigation methods for …
aided navigation and terrain aided navigation are map aided navigation methods for …
Machine and quantum learning for diamond-based quantum applications
DG Stone, C Bradac - Materials for Quantum Technology, 2023 - iopscience.iop.org
In recent years, machine and quantum learning have gained considerable momentum
sustained by growth in computational power and data availability and have shown …
sustained by growth in computational power and data availability and have shown …
Application of nonparametric ML on forecasting the production of a large-scale solar power plant: Kom-Ombo case study
Renewable Energy grew by 50% globally in 2023, where three quarters of this energy is
coming from solar PVs. The variable production of solar energy needed for PVs makes the …
coming from solar PVs. The variable production of solar energy needed for PVs makes the …
Zram Instance Pool Framework for Adaptive Memory Compression in Resource-Sensitive Embedded Operating Systems
Y Deng, G **e, C **ong, S Zhao… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Memory compression can reduce the size of the inactive data in the random access memory
(RAM), thereby freeing up unused space and allowing more programs to run; however …
(RAM), thereby freeing up unused space and allowing more programs to run; however …
Wind Power Forecasting with Machine Learning Approach
The world's economic growth and continuous improvement in the standard of living
consistently increases the demand for electricity. Usage of fossil fuel-based energy …
consistently increases the demand for electricity. Usage of fossil fuel-based energy …
Evaluation of One-point Calibration for Cuffless BP Wearable Sensor Devices: Stiffness Index
Blood pressure (BP) is one of the most important vital signs for the early diagnosis of
cardiovascular diseases (CVDs). This article presents a noninvasive continuous BP …
cardiovascular diseases (CVDs). This article presents a noninvasive continuous BP …