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View article: Corrigendum to “A new method for prediction of Vigna mungo millet disease based on deep learning” [Curr. Plant Biol. 44 (2025) 100562]
Corrigendum to “A new method for prediction of Vigna mungo millet disease based on deep learning” [Curr. Plant Biol. 44 (2025) 100562] Open
View article: A new method for prediction of Vigna mungo millet disease based on deep learning
A new method for prediction of Vigna mungo millet disease based on deep learning Open
Various viral illnesses impact plant development, causing farmers to lose a lot of revenue. Early diagnosis and prediction of these viral infections can help farmers take preventive measures and mitigate the impacts on crop productivity an…
View article: Assessing the potential of local amendments in quarry soil reclamation: an AHP-driven analysis
Assessing the potential of local amendments in quarry soil reclamation: an AHP-driven analysis Open
This study investigated the potential of locally available organic amendments for the reclamation of quarry soil in Hoa Vang commune, Da Nang city, Vietnam. To identify promising amendments, semi-structured interviews were conducted with 2…
View article: Experimental study and proposal of a household organic waste treatment model using vermicomposting
Experimental study and proposal of a household organic waste treatment model using vermicomposting Open
This study investigates vermicomposting as a sustainable solution for household organic waste management in rapidly urbanising areas like Da Nang. A three-tier pilot system utilising earthworms efficiently decomposed kitchen waste into nut…
View article: A practical approach for colorectal cancer diagnosis based on machine learning
A practical approach for colorectal cancer diagnosis based on machine learning Open
In this paper, we present the results of applying machine learning models to build a Colorectal Cancer Diagnosis system. The methodology encompasses six key steps: collecting raw data from Electronic Medical Records (EMRs), revising featur…
View article: Vehicle routing problem in waste collection: a case study in Son Tra, Da Nang
Vehicle routing problem in waste collection: a case study in Son Tra, Da Nang Open
This study investigates the application of network analysis to optimize solid waste collection routes in Son Tra District, Da Nang City. Twelve collection routes, encompassing 30 collection points, were tracked using GPS equipment and digi…
View article: Correction: Comparing the accuracy of two machine learning models in detection and classification of periapical lesions using periapical radiographs
Correction: Comparing the accuracy of two machine learning models in detection and classification of periapical lesions using periapical radiographs Open
View article: A dental intraoral image dataset of gingivitis for image captioning
A dental intraoral image dataset of gingivitis for image captioning Open
View article: Retraction Note: Compression based clustering technique for enhancing accuracy in web scale videos
Retraction Note: Compression based clustering technique for enhancing accuracy in web scale videos Open
View article: A New Decision Making Model Based on Complex Intuitionistic Fuzzy Soft Lattice for Traffic Monitoring in the Pandemic Scenarios
A New Decision Making Model Based on Complex Intuitionistic Fuzzy Soft Lattice for Traffic Monitoring in the Pandemic Scenarios Open
Various representations of real‐life scenarios by algebraic structures are of vital importance in the modern era of Industrial Revolution 4.0 as it enables such data to be interpreted and processed by artificial intelligence, thus bridging…
View article: ViMedNER: A Medical Named Entity Recognition Dataset for Vietnamese
ViMedNER: A Medical Named Entity Recognition Dataset for Vietnamese Open
Named entity recognition (NER) is one of the most important tasks in natural language processing, which identifies entity boundaries and classifies them into pre-defined categories. In literature, NER systems have been developed for variou…
View article: Towards a framework for enterprise architecture in mobile government: a case study
Towards a framework for enterprise architecture in mobile government: a case study Open
Mobile government (m-government) represents a distinct paradigm shift from electronic government (e-government), offering a new avenue for governments worldwide to deliver services and applications to their customers. The m-government mode…
View article: An Approach Based on Intuitionistic Fuzzy Sets for Considering Stakeholders’ Satisfaction, Dissatisfaction, and Hesitation in Software Features Prioritization
An Approach Based on Intuitionistic Fuzzy Sets for Considering Stakeholders’ Satisfaction, Dissatisfaction, and Hesitation in Software Features Prioritization Open
This paper introduces a semi-automated approach for the prioritization of software features in medium- to large-sized software projects, considering stakeholders’ satisfaction and dissatisfaction as key criteria for the incorporation of ca…
View article: Attribute Reduction on Decision Tables Based on Hausdorff Topology
Attribute Reduction on Decision Tables Based on Hausdorff Topology Open
View article: Proposing Solutions to Tackle the Issues of Slow Progress and Lack of Materials for Mekong Delta Expressway Construction Projects in Period of 2021-2025
Proposing Solutions to Tackle the Issues of Slow Progress and Lack of Materials for Mekong Delta Expressway Construction Projects in Period of 2021-2025 Open
Up to now, Vietnam has spent 12 years implementing the State’s policies on building an expressway system, and has initially achieved certain promising results. However, regarding projects which have been put into operation and projects whi…
View article: A Universal Field-of-View Mask Segmentation Method on Retinal Images From Fundus Cameras
A Universal Field-of-View Mask Segmentation Method on Retinal Images From Fundus Cameras Open
One of the first steps in the retinal image preprocessing is cropping the Field of View (FOV) area and scaling it into a template of a predefined size. Fundus cameras of different producers record digital images of the retina of various si…
View article: The exploration of customer satisfaction model for municipal solid waste collection performance – a case study in Saravane city, Saravane province, Laos
The exploration of customer satisfaction model for municipal solid waste collection performance – a case study in Saravane city, Saravane province, Laos Open
This study was conducted to assess the customers’ satisfaction level with solid waste collection service in Salavane city, Salavane province, Laos. The interviewed data from 132 households have been tested and analyzed for the correlations…
View article: Einstein exponential operation laws of spherical fuzzy sets and aggregation operators in decision making
Einstein exponential operation laws of spherical fuzzy sets and aggregation operators in decision making Open
View article: Adaptive Spatial Complex Fuzzy Inference Systems With Complex Fuzzy Measures
Adaptive Spatial Complex Fuzzy Inference Systems With Complex Fuzzy Measures Open
Fuzzy inference systems, in general, and complex fuzzy inference systems, in particular, play an increasingly important role in many fields, such as change detection, image classification, recognition problems, etc. Despite being the well-…
View article: An Approach Based on Intuitionistic Fuzzy Sets for Considering Stakeholders’ Satisfaction, Dissatisfaction and Hesitation in Software Features Prioritization
An Approach Based on Intuitionistic Fuzzy Sets for Considering Stakeholders’ Satisfaction, Dissatisfaction and Hesitation in Software Features Prioritization Open
View article: Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering for Noisy Data
Picture-Neutrosophic Trusted Safe Semi-Supervised Fuzzy Clustering for Noisy Data Open
Clustering is a crucial method for deciphering data structure and producing new information. Due to its significance in revealing fundamental connections between the human brain and events, it is essential to utilize clustering for cogniti…
View article: A New Approach for Attribute Reduction from Decision Table based on Intuitionistic Fuzzy Topology
A New Approach for Attribute Reduction from Decision Table based on Intuitionistic Fuzzy Topology Open
Most of the current attribute reduction methods use the measure to define the reduct, such as positive region of rough set theory (RST), granular information entropy, and granular distance measures. However, the reducts defined based on th…
View article: A Cloud-based Distributed Computing Approach for Extracting Molecular Descriptors
A Cloud-based Distributed Computing Approach for Extracting Molecular Descriptors Open
Feature extraction is an initial and essential part for the development of accurate predictive machine learning classifiers. In the research field of drug discovery and development, the usage of molecular descriptors, which can be defined …
View article: Assessing the management of road traffic infrastructure in form of BOT in Tien Giang province from the perspective of traffic safety and investment efficiency
Assessing the management of road traffic infrastructure in form of BOT in Tien Giang province from the perspective of traffic safety and investment efficiency Open
Road traffic infrastructure management and exploitation is a material production industry with both service and technical attributes, directly related to human life, means of transport and other assets. Traffic safety criteria are expresse…
View article: Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods
Developments in the detection of diabetic retinopathy: a state-of-the-art review of computer-aided diagnosis and machine learning methods Open
View article: New concepts of pentapartitioned neutrosophic graphs and applications for determining safest paths and towns in response to COVID-19
New concepts of pentapartitioned neutrosophic graphs and applications for determining safest paths and towns in response to COVID-19 Open
View article: A Comparative Study of Forecasting Electricity Consumption Using Machine Learning Models
A Comparative Study of Forecasting Electricity Consumption Using Machine Learning Models Open
Production of electricity from the burning of fossil fuels has caused an increase in the emission of greenhouse gases. In the long run, greenhouse gases cause harm to the environment. To reduce these gases, it is important to accurately fo…
View article: AN IMPROVEMENT OF TRUSTED SAFE SEMI-SUPERVISED FUZZY CLUSTERING METHOD WITH MULTIPLE FUZZIFIERS
AN IMPROVEMENT OF TRUSTED SAFE SEMI-SUPERVISED FUZZY CLUSTERING METHOD WITH MULTIPLE FUZZIFIERS Open
Data clustering are applied in various fields such as document classification, dental X-ray image segmentation, medical image segmentation, etc. Especially, clustering algorithms are used in satellite image processing in many important app…
View article: Some Problems Related to Reducts of Consistent Incomplete Decision Tables
Some Problems Related to Reducts of Consistent Incomplete Decision Tables Open
In multi-criteria decision making, attribute reduction has attracted the attention of researchers for more than two decades. So far, numerous scientists have proposed algorithms to construct reducts in decision tables. However, most of the…
View article: RainPredRNN: A New Approach for Precipitation Nowcasting with Weather Radar Echo Images Based on Deep Learning
RainPredRNN: A New Approach for Precipitation Nowcasting with Weather Radar Echo Images Based on Deep Learning Open
Precipitation nowcasting is one of the main tasks of weather forecasting that aims to predict rainfall events accurately, even in low-rainfall regions. It has been observed that few studies have been devoted to predicting future radar echo…