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Article
Combining satellite data and artificial intelligence with a crop growth model to enhance rice yield estimation and crop management practices
Rice is the staple food of more than half of the world’s population, especially in Asia, where rice provides more than 50% of the caloric supply for at least 520 million people, most of them are either extreme...
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Chapter and Conference Paper
Advancing Online Education: An Artificial Intelligence Applied System for Monitoring and Improving Employee Engagement in Enterprise Information Systems
Online learning has gained significant popularity, but maintaining learner focus remains a challenge, especially in financial enterprise training systems. The need for training has increased with banking and f...
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Article
Exploiting Sentinel-1 data and machine learning–based random forest for collectively map** rice fields in Taiwan
Rice is the most important crop in Taiwan. Monitoring rice-growing areas is thus essential for crop management and food decision-making processes. This research aims to develop an approach for seasonally mappi...
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Article
A property of the spherical derivative of an entire curve in complex projective space
We establish a type of the Picard’s theorem for entire curves in \(P^n({\mathbb {C}})\) ...
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Chapter
Remote Sensing Time Series Analysis for Early Rice Yield Forecasting Using Random Forest Algorithm
Early information on rice crop yields is essential for production estimation to formulate strategies on food security and rice grain exports in a country. This research aimed to develop a machine learning appr...
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Article
Correction to: Convergence Analysis of a Crank–Nicolson Galerkin Method for an Inverse Source Problem for Parabolic Equations with Boundary Observations
The original version of this article unfortunately contained a mistake in one of the co-author’s name.
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Article
Convergence Analysis of a Crank–Nicolson Galerkin Method for an Inverse Source Problem for Parabolic Equations with Boundary Observations
This work is devoted to an inverse problem of identifying a source term depending on both spatial and time variables in a parabolic equation from single Cauchy data on a part of the boundary. A Crank–Nicolson ...
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Chapter and Conference Paper
Geometry of the Symplectic Stiefel Manifold Endowed with the Euclidean Metric
The symplectic Stiefel manifold, denoted by \(\mathrm {Sp}(2p,2n)\) Sp ...
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Chapter
Balanced Truncation for Parametric Linear Systems Using Interpolation of Gramians: A Comparison of Algebraic and Geometric Approaches
When balanced truncation is used for model order reduction, one has to solve a pair of Lyapunov equations for two Gramians and uses them to construct a reduced-order model. Although advances in solving such eq...
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Article
Open AccessEcoregional variations of aboveground biomass and stand structure in evergreen broadleaved forests
Biotic and abiotic factors control aboveground biomass (AGB) and the structure of forest ecosystems. This study analyses the variation of AGB and stand structure of evergreen broadleaved forests among six ecor...
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Chapter and Conference Paper
A study of deep excavation using cement deep mixing in Mekong river delta area
In this paper, two soil constitutive models namely Mohr-Coulomb (MC) and Soft Soil (SS) models were used to simulate the behaviour of a deep excavation whose retaining wall and the base were improved by cement...
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Chapter and Conference Paper
Effect of Minimum Quantity Lubrication on Surface Roughness in Milling Machining
This paper presents the selection of optimal technology parameters of Minimum Quantity Lubrication (MQL) method (rotation angle of nozzle to feed direction, ratio of soluble lubricant and water, distance from...
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Chapter and Conference Paper
Energy-Saving Virtual Machine Scheduling in Cloud Computing with Fixed Interval Constraints
Energy efficiency has become an important measurement of scheduling algorithms for Infrastructure-as-a-Service (IaaS) clouds. This paper investigates the energy-efficient virtual machine scheduling problems in...
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Article
Monitoring Mangrove Forest Changes from Multi-temporal Landsat Data in Can Gio Biosphere Reserve, Vietnam
Coastal development that converts mangrove forests to other uses has constantly ignored ecological services of mangrove forests. Monitoring spatiotemporal changes of mangrove forests is thus important to provi...
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Article
Discovery of time series \(k\) -motifs based on multidimensional index
Time series motifs are frequently occurring but previously unknown subsequences of a longer time series. Discovering time series motifs is a crucial task in time series data mining. In time series motif discov...
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Article
Model order reduction of parameterized circuit equations based on interpolation
In this paper, the state-of-the-art interpolation-based model order reduction methods are applied to parameterized circuit equations. We analyze these methods in great details, through which the advantages and...
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Chapter and Conference Paper
Energy-Aware Lease Scheduling in Virtualized Data Centers
Energy efficiency has become an important measurement of scheduling algorithms in virtualized data centers. One of the challenges of energy-efficient scheduling algorithms, however, is the trade-off between mi...
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Chapter
EPOBF: Energy Efficient Allocation of Virtual Machines in High Performance Computing Cloud
Cloud computing has become more popular in provision of computing resources under virtual machine (VM) abstraction for high performance computing (HPC) users. A HPC cloud is such a cloud computing environment....
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Chapter and Conference Paper
Heuristics for Energy-Aware VM Allocation in HPC Clouds
High performance computing (HPC) clouds have become more popular for users to run their HPC applications on cloud infrastructures. Reduction in energy consumption (kWh) for these cloud systems is of high prior...
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Chapter and Conference Paper
Time Series Subsequence Matching Based on Middle Points and Clip**
The similarity search on time series data is classified into two classes: whole sequence matching and subsequence matching. In whole matching, it is supposed that the time series to be compared have the same l...