727 Result(s)
within
**o Son
Artificial Intelligence
-
Article
Geometric mean optimizer for achieving efficiency in truss structural design
The objective of this study is to utilize the geometric mean optimizer (GMO) for mass optimization of structural trusses. By harnessing the GMO’s mutation mechanism rooted in a Gaussian framework, the model ef...
-
Article
Achieving improved performance in construction projects: advanced time and cost optimization framework
The management of construction projects has long emphasized the delicate balance between time and cost, as these factors play a critical role in achieving optimal project outcomes. To address this challenge, s...
-
Article
Open AccessA large-scale dataset for korean document-level relation extraction from encyclopedia texts
Document-level relation extraction (RE) aims to predict the relational facts between two given entities from a document. Unlike widespread research on document-level RE in English, Korean document-level RE res...
-
Article
A novel giant pacific octopus optimizer for real-world engineering problem
Giant Pacific Octopus Optimizer (GPOO), a new swarm computational-intelligence metaheuristic approach, is a natural algorithm based on the behavior of octopuses as they struggle to live in the environment. The...
-
Article
Open AccessNeuProNet: neural profiling networks for sound classification
Real-world sound signals exhibit various aspects of grou** and profiling behaviors, such as being recorded from identical sources, having similar environmental settings, or encountering related background no...
-
Article
Dynamic weighted ensemble for diarrhoea incidence predictions
Diarrhoea (DH) disease pose significant threats to national morbidity and mortality in Vietnam, especially on children. Being a climate sensitive disease, it has strong links to various meteorological factors ...
-
Article
Open AccessSystematic hierarchical analysis of requirements for critical systems
Safety and security are key considerations in the design of critical systems. Requirements analysis methods rely on the expertise and experience of human intervention to make critical judgements. While human j...
-
Article
Open AccessPortia spider algorithm: an evolutionary computation approach for engineering application
The Portia spider, a notable member of the jum** spider family (Salticidae), is widely recognized for its intricate hunting strategies and remarkable problem-solving prowess. Several species fall under the “...
-
Article
A dynamic fuzzy group recommender system based on intuitionistic fuzzy choquet integral aggregation
In this study, a new dynamic fuzzy group recommender system (DFGRS) is investigated, which aims to deal with some critical challenges in the group recommender system (GRS), including the user preference uncert...
-
Chapter and Conference Paper
A Novel Variant of Yolov7-Tiny for Object Detection on Aerial Vehicle Images
With the advancement of deep learning and the rising popularity of unmanned aerial vehicle (UAV) surveillance systems, object detection from UAV aerial imagery has gained attention in computer science. Numerou...
-
Chapter and Conference Paper
Unveiling Sentiments in Vietnamese Education Texts: Could Large Language Model GPT-3.5-turbo Beat PhoBERT?
Text classification in general, and sentiment analysis specifically is a major branch of Natural Language Processing with various uses and challenges. Classifying sentiments from Vietnamese text presents numer...
-
Chapter and Conference Paper
A Comparative Study on Methods to Interact with Close-Distance Objects in Mixed Reality Environment: Direct Method vs. Raycasting Method
Mixed Reality (MR) technology allows users to interact with virtual objects generated in the real world intuitively
-
Chapter and Conference Paper
A Novel DNN-Based IDS System Combined with an LR-GA Method to Detect Attacks
With the rapid expansion of the Internet of Things devices and applications, current security issues are more challenged because cyberattacks are getting more complicated and harder to spot. Hence, many intell...
-
Chapter and Conference Paper
Finding Maximum Weakly Stable Matchings for Hospitals/Residents with Ties Problem via Heuristic Search
The Hospitals/Residents with Ties Problem is a many-one stable matching problem, in which residents need to be assigned to hospitals to meet their constraints. In this paper, we propose a simple heuristic algo...
-
Chapter and Conference Paper
Solving Edge-Weighted Maximum Clique Problem with DCA Warm-Start Quantum Approximate Optimization Algorithm
The Quantum Approximate Optimization Algorithm is a hybrid quantum-classic algorithm used for solving combinatorial optimization. However, this algorithm performs poorly when solving the constrained combinator...
-
Article
A Nonlinear, Regularized, and Data-independent Modulation for Continuously Interactive Image Processing Network
Most studies on convolutional Neural Network (CNN) based image processing have proposed networks that can be optimized for a single level. Here, the term “level" refers to the specific objective defined for ea...
-
Chapter and Conference Paper
Continuous Engineering for Trustworthy Learning-Enabled Autonomous Systems
Learning-enabled autonomous systems (LEAS) use machine learning (ML) components for essential functions of autonomous operation, such as perception and control. LEAS are often safety-critical. The development ...
-
Article
Burst super-resolution with adaptive feature refinement and enhanced group up-sampling
Burst super-resolution (Burst SR) has achieved significant performance improvements through burst images captured by modern handheld devices. However, Burst SR still encounters several challenges. Firstly, mis...
-
Article
Open AccessMachine learning for leaf disease classification: data, techniques and applications
The growing demand for sustainable development brings a series of information technologies to help agriculture production. Especially, the emergence of machine learning applications, a branch of artificial int...
-
Article
Open AccessMSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection
Accurate detection of pedestrian lanes is a crucial criterion for vision-impaired people to navigate freely and safely. The current deep learning methods have achieved reasonable accuracy at this task. However...
