For lumped uncertainty caused by hysteresis saturated input, external disturbance and model uncertainty, traditional adaptive control accuracy depends on unilateral parameter learning and nonlinear approximation ability. To improve learning capabilit...
In this paper, we present an aircraft localization solution developed in the context of the Aircraft Localization Competition and applied to the OpenSky Network real-world ADS-B data. The developed solution is based on a combination of machine learni...
The relationship between natural resource development and sustainable development has long been a focus in academia. In the context of a new global economic cooperation system, many scholars argue that such cooperation can lead to a “resource c...
Accurate indoor localization is essential for navigation, monitoring, and industrial applications, especially in environments with Non-line of sight (NLOS) conditions. An indoor positioning system consists of fixed physical nodes, referred to as anch...
The shortage of therapists required for the rehabilitation of stroke patients, together with the patients’ lack of motivation in regular therapy, creates the need for a robotic rehabilitation platform. While studies on shared control architectu...
Widely employed in hydrate exploitation, the single well method is utilized to broaden the scope of hydrate decomposition. Optimizing the well structure and production strategy is necessary to enhance gas recovery efficiency. Complex wells represente...
In this work, the use of Machine Learning methods for robust Received Signal Strength (RSS)-based Visible Light Positioning (VLP) is experimentally evaluated. The performance of Multilayer Perceptron (MLP) models and Gaussian processes (GP) is invest...
In recent years, rate of penetration (ROP) prediction using machine learning has attracted considerable interest. However, few studies have addressed ROP prediction uncertainty and its relation to training data and model inputs. This paper presents t...
Due to the local and natural characteristics of high latitude and altitude in the Three Polar Region (TPR)—that is, the Antarctic, the Arctic, and the Qinghai-Tibet Plateau (QTP)—this region has been significantly affected by climate chan...
Multilateral well drilling technology has recently assisted the drilling industry in improving borehole contact area and reducing operation time, while maintaining a competitive cost. The most advanced multilateral well drilling method is Fishbone dr...
The importance of active learning has continued to increase in Japan. The authors conducted classes for first-year students who entered the nursing program using the problem-based learning method which is a kind of active learning. Students discussed...
This paper introduces the INFLUTRUST framework that is designed to address challenges in trust-based influencer marketing campaigns on Online Social Networks (OSNs). The INFLUTRUST framework enables the influencers to autonomously select products acr...
Minimal Learning Machine (MLM) is a recently popularized supervised learning method, which is composed of distance-regression and multilateration steps. The computational complexity of MLM is dominated by the solution of an ordinary least-squares pro...
In this paper, we propose a deep learning-based indoor two-dimensional (2D) localization scheme using a 24 GHz frequency-modulated continuous wave (FMCW) radar. In the proposed scheme, deep neural network and convolutional neural network (CNN) models...
In this paper, we present the results of a performance evaluation and optimization process of an indoor positioning system (IPS) designed to operate on portable as well as miniaturized embedded systems. The proposed method uses the Received Signal St...
Graduate students often seek hands-on experiences in the international development field. Given that Multilateral Development Banks (MDBs) provide hundreds of billions of dollars in aid each year, we expected that reviewing the design, implementation...
Background/Objectives: Technology transfer (TT) has been identified as a global health priority due to its impact on improving access to vaccines, including for pandemic influenza preparedness and response through bilateral and multilateral mechanism...
WiFi Fine Timing Measurement (FTM) directly provides round-trip delay ranging information between a mobile terminal and an access point (AP), serving as a critical technical foundation for the development of low-cost indoor positioning systems. Howev...
On 19 April 2022, in order to overcome a succession of recent global food health and agriculture safety (FHAS) incidents, the Taiwanese government instituted and announced 20 comprehensive Articles under the Taiwanese Food and Agricultural Education...
Port shipping collaboration is vital to greener, more resilient trade, yet decisions remain siloed and uncertain. This study develops a Bayesian network model grounded in empirical data from major Chinese ports, aiming to systematically analyze and e...
The present time is a seminal decade for the transition of the energy sector through the deployment of green energy and the optimization of efficiencies using the power of automation and artificial intelligence (AI), which demands competitive policie...
Visible light positioning (VLP) based on received signal strength (RSS) offers a low-cost solution for indoor localization, being easily implemented in a warehouse based on existing infrastructure. However, RSS-based VLP remains challenging in 3D and...
In 2025, the U.S. reciprocal tariff policy destabilized global multilateral trade and accelerated the advance of regional trade cooperation. As the world’s most populous regional trade agreement, the Regional Comprehensive Economic Partnership...
Multi-access edge computing (MEC) has attracted the interest of the research and industrial community to support Internet of things (IoT) applications by enabling efficient data processing and minimizing latency. This paper presents significant contr...
The teaching of human anatomy is experiencing significant transformation. Particularly in recent years, incorporating new digital technologies has drastically changed the approach to education. Our bibliometric study aims to investigate trends and is...
Great attention has been paid to indoor localization due to its wide range of associated applications and services. Fingerprinting and time-based localization techniques are among the most popular approaches in the field due to their promising perfor...
Accurate node localization in wireless sensor networks (WSNs) is challenging under variable signal propagation and strict energy constraints. This paper presents a hybrid localization framework that combines a deep neural network (DNN) with particle...
Real-time positioning is a technological field with a multitude of applications, which expand across many scopes: from positioning within a large area to localization within smaller spaces; from locating people to locating equipment; from large-scale...
This paper proposes a strategic framework to enhance nuclear energy governance by advancing the Qudrat-Ullah Nuclear Peace and Trust (Q-NPT) framework. Designed to complement existing treaties such as the Nuclear Non-Proliferation Treaty (NPT) and In...
Background: Indoor Positioning Systems (IPS) have gained increasing relevance in logistics, offering solutions for safety enhancement, intralogistics management, and material flow control across various environments such as industrial facilities, off...
The main focus of this article is the problem of exacerbating agricultural risks in the context of the COVID-19 crisis, which started against the background of the novel coronavirus (COVID-19) pandemic. The motivation for conducting the research pres...
Readiness is the current mantra in the climate finance discourse and is a key determinant for accessing climate finance. This study develops and applies an analytical 3-dimensional framework to appraise climate finance readiness in selected Asia-Paci...
The last decade has seen an exponential increase in the application of unmanned aerial vehicles (UAVs) to ecological monitoring research, though with little standardisation or comparability in methodological approaches and research aims. We reviewed...
29 December 2022
The main objective of this study was to implement an educational program named ACTIVE VALUES and to analyse the psychosocial and cognitive effects of its application. It is a quasi-experimental repeated measures research with a non-randomised experim...
26 January 2021
Thailand has been affected by COVID-19, like other countries in the Asian region at an early stage, and the first case was reported as early as mid-January 2020. Thailand’s response to the COVID-19 pandemic has been guided by the “Integra...
Hand gesture recognition (HGR) is a convenient and natural form of human–computer interaction. It is suitable for various applications. Much research has already focused on wearable device-based HGR. By contrast, this paper gives an overview fo...
In this study, we propose the Integrated Developmental Entrepreneurship Resiliency Framework (IDERF), a conceptual model positioning universities as orchestrators of stakeholder networks for entrepreneurial resilience and sustainability. Review and a...
User location has emerged as a pivotal factor in human-centered environments, driving applications like tracking, navigation, healthcare, and emergency response that align with Sustainable Development Goals (SDGs). However, accurate indoor localizati...