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View article: MORPHOMETRIC RELATIONSHIPS BETWEEN SAGITTAL OTOLITH SHAPE AND BODY SIZE IN FIVE MARINE FISH SPECIES FROM LANG CO - HAI VAN, VIETNAM
MORPHOMETRIC RELATIONSHIPS BETWEEN SAGITTAL OTOLITH SHAPE AND BODY SIZE IN FIVE MARINE FISH SPECIES FROM LANG CO - HAI VAN, VIETNAM Open
This study examines the relationship between sagittal otolith morphology and body size in five common marine fish species-Selaroides leptolepis, Sardinella gibbosa, Gerres filamentosus, Lutjanus russellii, and Selar crumenophthalmus-from t…
View article: Power Loss Reduction in Distribution System Via ETAP Analysis and PSO Algorithm
Power Loss Reduction in Distribution System Via ETAP Analysis and PSO Algorithm Open
View article: Rubber Plantation Expansion Leads to Increase in Soil Erosion in the Middle Lancang-Mekong River Basin During the Period 2003–2022
Rubber Plantation Expansion Leads to Increase in Soil Erosion in the Middle Lancang-Mekong River Basin During the Period 2003–2022 Open
The booming nature rubber industry has contributed to the extensive expansion of rubber plantations in the Lancang-Mekong River Basin over recent decades. To date, limited research has focused on the assessment of soil erosion caused by th…
View article: Towards Cultural Bridge by Bahnaric-Vietnamese Translation Using Transfer Learning of Sequence-To-Sequence Pre-training Language Model
Towards Cultural Bridge by Bahnaric-Vietnamese Translation Using Transfer Learning of Sequence-To-Sequence Pre-training Language Model Open
This work explores the journey towards achieving Bahnaric-Vietnamese translation for the sake of culturally bridging the two ethnic groups in Vietnam. However, translating from Bahnaric to Vietnamese also encounters some difficulties. The …
View article: Nonlinear FEM considering concrete damaged plasticity for beam-to-column joints with bolted metal plates
Nonlinear FEM considering concrete damaged plasticity for beam-to-column joints with bolted metal plates Open
This study investigates the performance of mechanical beam–column joints with bolted endplates and grouted concrete fillers in reinforced concrete (RC) frames. Investigations were conducted using nonlinear finite element analyses (FEA) con…
View article: Experimental and numerical investigation for an erection safety of precast beam-to-column joints with bolted metal plates
Experimental and numerical investigation for an erection safety of precast beam-to-column joints with bolted metal plates Open
One of the main goals of this study is to confirm structural integrity by sighting via the erection test, demonstrating structural safety with stable structural behavior during the erection stage. The present paper also aimed to examine th…
View article: Mapping Vegetation Changes in Mongolian Grasslands (1990–2024) Using Landsat Data and Advanced Machine Learning Algorithm
Mapping Vegetation Changes in Mongolian Grasslands (1990–2024) Using Landsat Data and Advanced Machine Learning Algorithm Open
Grassland ecosystems provide a range of services in semi-arid and arid regions. However, they have significantly declined due to overgrazing and desertification. In the current study, we employed Landsat time series data (TM, OLI, OLI-2) s…
View article: Experimental investigations of the H-shaped post-tensioned precast frame module with monolithic beam-column connections
Experimental investigations of the H-shaped post-tensioned precast frame module with monolithic beam-column connections Open
In this study, the evolution of the frame in a structural behavior’s perspective is focused, identifying how cracks influence the degradations of the frame from the camber cracks to plastic hinges. An extensive experimental investigation f…
View article: Pre-tensioned concrete beams optimized with a unified function of objective (UFO) using ANN-based Hong-Lagrange method
Pre-tensioned concrete beams optimized with a unified function of objective (UFO) using ANN-based Hong-Lagrange method Open
The present study simultaneously optimizes the three objective functions of pre-tensioned concrete (PT) beams, such as construction and material cost, beam weights, and beam depth, where multiple objectives optimizations (MOO) conflicting …
View article: An ANN-based Hong-Lagrange algorithm (ANN-based HLA) for auto design-based building application (ABBA) with prestressed precast piperack frame
An ANN-based Hong-Lagrange algorithm (ANN-based HLA) for auto design-based building application (ABBA) with prestressed precast piperack frame Open
Building optimization using traditional approaches based on explicit objective functions is difficult because of large numbers of variables and constraints. Many studies, thus, developed derivative-free optimizations using evolutionary pro…
View article: Advances in Earth observation and machine learning for quantifying blue carbon
Advances in Earth observation and machine learning for quantifying blue carbon Open
Blue carbon ecosystems (mangroves, seagrasses and saltmarshes) are highly productive coastal habitats, and are considered some of the most carbon-dense ecosystems on the earth. They are an important nature-based solution for both climate c…
View article: Experimental and nonlinear finite element analysis for post-tensioned precast frames with mechanical joints
Experimental and nonlinear finite element analysis for post-tensioned precast frames with mechanical joints Open
Conventional cast-in-place frames using a pair of steel plates are replaced by a post-tensioned H-shaped precast frame with mechanical joints in which plates are used to transfer loads between them. The mechanical joints strengthened by in…
View article: Mapping Mangrove Above-Ground Carbon Using Multi-Source Remote Sensing Data and Machine Learning Approach in Loh Buaya, Komodo National Park, Indonesia
Mapping Mangrove Above-Ground Carbon Using Multi-Source Remote Sensing Data and Machine Learning Approach in Loh Buaya, Komodo National Park, Indonesia Open
Mangrove forests provide numerous valuable ecosystem services and can sequester a large volume of carbon that can help mitigate climate change impacts. Modeling mangrove carbon with robust and valid approaches is crucial to better understa…
View article: An AI-based auto-design for optimizing RC frames using the ANN-based Hong–Lagrange algorithm
An AI-based auto-design for optimizing RC frames using the ANN-based Hong–Lagrange algorithm Open
Artificial neural networks (ANNs)-based objective functions such as costs and weights of reinforced concrete (RC) frames with four-by-four bays and four floors are optimized simultaneously based on big datasets of 330,000 designs according…
View article: Total organic carbon estimation in seagrass beds in Tauranga Harbour, New Zealand using multi-sensors imagery and grey wolf optimization
Total organic carbon estimation in seagrass beds in Tauranga Harbour, New Zealand using multi-sensors imagery and grey wolf optimization Open
Estimation of carbon stock in seagrass meadows is in challenges of paucity of assessment and low accuracy of the estimates. In this study, we used a fusion of the synthetic aperture radar (SAR) Sentinel-1 (S-1), the multi-spectral Sentinel…
View article: Mapping Multi-Decadal Mangrove Extent in the Northern Coast of Vietnam Using Landsat Time-Series Data on Google Earth Engine Platform
Mapping Multi-Decadal Mangrove Extent in the Northern Coast of Vietnam Using Landsat Time-Series Data on Google Earth Engine Platform Open
A pixel-based algorithm for multi-temporal Landsat (TM/ETM+/OLI/OLI-2) imagery between 1990 and 2022 monitored mangrove dynamics and detected their changes in the three provinces (i.e., Thai Binh, Nam Dinh and Hai Phong), which are located…
View article: The lunar nodal cycle controls mangrove canopy cover on the Australian continent
The lunar nodal cycle controls mangrove canopy cover on the Australian continent Open
Long-phase (interannual) tidal cycles have been shown to influence coastal flooding and sedimentation, but their role in shaping the extent and condition of tidal wetlands has received little attention. Here, we show that the 18.61-year lu…
View article: Holistic design of pre-tensioned concrete beams based on Artificial Intelligence
Holistic design of pre-tensioned concrete beams based on Artificial Intelligence Open
This research demonstrates how pre-tensioned concrete beams (PT beams) are designed holistically using artificial neural networks (ANNs). To establish reverse design scenarios, large input and output data are generated using the mechanics-…
View article: ANN-based Lagrange optimization for RC circular columns having multiobjective functions
ANN-based Lagrange optimization for RC circular columns having multiobjective functions Open
Structural engineers must encounter multiobjective optimization (MOO) problems in designs including a design of reinforced concrete (RC) columns, where several design objectives must be satisfied to meet contractors’ interests and produce …
View article: Optimized Interaction P-M diagram for Rectangular Reinforced Concrete Column based on Artificial Neural Networks
Optimized Interaction P-M diagram for Rectangular Reinforced Concrete Column based on Artificial Neural Networks Open
This study proposes an artificial neural network for a design of reinforced concrete (RC) columns for structural engineers who are interested in performing reverse designs, exploring influences of structural parameters (e.g., $$\phi {P_n},…
View article: Challenges and Prospects of Radio-over-Fiber-Based Converged Access Technologies in Millimeter- and Terahertz-Wave Radio Access Systems
Challenges and Prospects of Radio-over-Fiber-Based Converged Access Technologies in Millimeter- and Terahertz-Wave Radio Access Systems Open
View article: Australian forested wetlands under climate change: collapse or proliferation?
Australian forested wetlands under climate change: collapse or proliferation? Open
Climatically driven perturbations (e.g. intense drought, fire, sea surface temperature rise) can bring ecosystems that are already stressed by long-term climate change and other anthropogenic impacts to a point of collapse. Recent reviews …
View article: Reverse designs of doubly reinforced concrete beams using Gaussian process regression models enhanced by sequence training/designing technique based on feature selection algorithms
Reverse designs of doubly reinforced concrete beams using Gaussian process regression models enhanced by sequence training/designing technique based on feature selection algorithms Open
The present paper introduces a practical and convenient artificial intelligence-based design approach for doubly reinforced concrete (RC) beams. Completed designs are automatically obtained from regression models and back-substitution (BS)…
View article: Detecting Multi-Decadal Changes in Seagrass Cover in Tauranga Harbour, New Zealand, Using Landsat Imagery and Boosting Ensemble Classification Techniques
Detecting Multi-Decadal Changes in Seagrass Cover in Tauranga Harbour, New Zealand, Using Landsat Imagery and Boosting Ensemble Classification Techniques Open
Seagrass provides a wide range of essential ecosystem services, supports climate change mitigation, and contributes to blue carbon sequestration. This resource, however, is undergoing significant declines across the globe, and there is an …
View article: Feature selection based reverse design of doubly reinforced concrete beams
Feature selection based reverse design of doubly reinforced concrete beams Open
Chained Training Scheme (CTS) and Chained training scheme with Revised Sequence (CRS) were proposed to train artificial neural networks (ANNs) to design doubly reinforced concrete (RC) beams. CRS and CTS performed training on large dataset…
View article: Evaluating the predictive power of different machine learning algorithms for groundwater salinity prediction of multi-layer coastal aquifers in the Mekong Delta, Vietnam
Evaluating the predictive power of different machine learning algorithms for groundwater salinity prediction of multi-layer coastal aquifers in the Mekong Delta, Vietnam Open
View article: Investigation of Strain Evolutions in Prestressed Reinforced Concrete Beams Based on Nonlinear Finite Element Analyses Considering Concrete Plasticity and Concrete Damaged Plasticity
Investigation of Strain Evolutions in Prestressed Reinforced Concrete Beams Based on Nonlinear Finite Element Analyses Considering Concrete Plasticity and Concrete Damaged Plasticity Open
This study provided an investigation of strain evolutions in bonded and unbonded prestressed reinforced concrete beams via nonlinear finite element analyses considering concrete plasticity and concrete-damaged plasticity. Usually, non-conv…
View article: Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach
Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach Open
Quantifying total carbon (TC) stocks in soil across various mangrove ecosystems is key to understanding the global carbon cycle to reduce greenhouse gas emissions. Estimating mangrove TC at a large scale remains challenging due to the diff…
View article: Mangrove soil organic carbon in Red River Delta, Vietnam
Mangrove soil organic carbon in Red River Delta, Vietnam Open
mangrove soil organic carbon (SOC) contents in the Red River Delta, Vietnam, and remote sensing datasets derived from Sentinel-1, Sentinel-2, and ALOS-2 PALSAR-2 in a total of 85 soil cores.
View article: Probabilistic Mangrove Species Mapping with Multiple-Source Remote-Sensing Datasets Using Label Distribution Learning in Xuan Thuy National Park, Vietnam
Probabilistic Mangrove Species Mapping with Multiple-Source Remote-Sensing Datasets Using Label Distribution Learning in Xuan Thuy National Park, Vietnam Open
Mangrove forests play an important role in maintaining water quality, mitigating climate change impacts, and providing a wide range of ecosystem services. Effective identification of mangrove species using remote-sensing images remains a c…