This study indirectly verifies the possibility of telemedicine for humans through a mobile application (app) targeting pets. It examined the perception of telemedicine services and the current status of the companion animal industry, the app platform...
Existing research has focused chiefly on the impact of artificial intelligence (AI) on economic growth. This study developed an AI dictionary using machine learning methods. Based on data from 3646 Shanghai- and Shenzhen-listed A-share companies from...
The widespread integration of artificial intelligence (AI) technologies, such as generative AI tools like ChatGPT, in education and workplaces requires a clear understanding of the factors that influence their adoption and effectiveness. This study e...
Grid-connected PV inverters (GCPI) are key components that enable photovoltaic (PV) power generation to interface with the grid. Their control performance directly influences system stability and grid connection quality. However, as PV penetration in...
Against the backdrop of frequent global shocks and increasingly complex supply chain networks, supply chain disruption risk exposure has become a major challenge affecting firms’ operational stability and sustainable competitive advantage. Mean...
This paper focuses on robust controller design for a generic helicopter model and terrain avoidance problem via artificial intelligence (AI). The helicopter model is presented as a hybrid system that covers hover and forward dynamics. By defining a s...
Mobile reading applications often separate text reading from audiobook playback, limiting multimodal learning. This study proposes a cross-platform mobile application integrating synchronized text–audio interaction within a unified interface. D...
For rapid deployments of various IoT application systems, we have developed Smart Environmental Monitoring and Analytical in Real-Time (SEMAR) as an integrated server platform. It is equipped with rich functions for collecting, analyzing, and visuali...
29 August 2024
As artificial intelligence (AI) makes significant headway in various arenas, the field of speech–language pathology is at the precipice of experiencing a transformative shift towards automation. This study introduces QuickPic AAC, an AI-driven...
Rapid urbanization and consumption growth have intensified the need for locally relevant solutions that translate environmental awareness into measurable individual action which is a priority of the Saudi Vision 2030 and the Saudi Green Initiative. W...
Background: Treatment of malocclusion with clear removable appliances like Invisalign® or Spark™, require considerable higher level of patient compliance when compared to conventional fixed braces. The clinical outcomes and treatment effici...
Teachers’ beliefs about the utility and risks of artificial intelligence (AI) may shape AI-related practice, yet these beliefs are often treated as a single attitude and practice as simple use. This study used a person-centered approach to iden...
The rapid adoption of artificial intelligence (AI) in healthcare is reshaping service delivery and enabling more personalized, data-driven care. However, cross-country differences in AI implementation and perceived strategic importance remain insuffi...
Data-driven methods based on artificial intelligence (AI) are powerful yet flexible tools for gathering knowledge and automating complex tasks in many areas of science and practice. Despite the rapid development of the field, the existing potential o...
In the opening year of the 14th Five-Year Plan, China has made significant progress in upgrading its industrial structure and improving the quality of economic growth based on the goal of technological self-sufficiency and self-improvement, and more...
The increasing adoption of artificial intelligence (AI) in smart learning environments has heightened the need for systematic, reliable testing of AI-driven educational applications. Existing studies primarily rely on benchmark accuracy, manual testi...
22 February 2021
Objective: To provide a human–Artificial Intelligence (AI) interaction review for Machine Learning (ML) applications to inform how to best combine both human domain expertise and computational power of ML methods. The review focuses on the medical fi...
In this paper, we have developed the SEMAR (Smart Environmental Monitoring and Analytics in Real-Time) IoT application server platform for fast deployments of IoT application systems. It provides various integration capabilities for the collection, d...
Advanced wireless sensor networks powered by artificial intelligence are increasingly required for applications demanding continuous monitoring, autonomous operation, reliable communication, and fast decision support. This systematic review examines...
The convergence of Virtual Reality (VR), Artificial Intelligence (AI), and the Internet of Things (IoT) offers transformative potential across numerous sectors. However, existing studies often examine these technologies independently or in limited pa...
Background/Objectives: Artificial intelligence (AI) is increasingly integrated into clinical gastroenterology, with emerging applications in nursing contexts. However, the extent and nature of these applications in gastroenterology nursing remain und...
Magnetorheological (MR) foams represent a class of smart materials with unique tunable viscoelastic properties when subjected to external magnetic fields. Combining porous structures with embedded magnetic particles, these materials address challenge...
In the era of Industry 4.0 and 5.0, a transformative wave of softwarisation has surged. This shift towards software-centric frameworks has been a cornerstone and has highlighted the need to comprehend software applications. This research introduces a...
Recent advances in Large Language Models (LLMs) and agent-based architectures have introduced new possibilities for automating web application security testing. Unlike traditional vulnerability scanners that rely mainly on signature-based detection,...
Field Programmable Gate Array (FPGA) accelerators have been widely adopted for artificial intelligence (AI) applications on edge devices (Edge-AI) utilizing Deep Neural Networks (DNN) architectures. FPGAs have gained their reputation due to the great...
Drawing on dynamic capability theory and upper echelons theory, this study develops a moderated mediation framework that treats green dynamic capabilities as a mediator and top management team (TMT) behavioral integration as a moderator. Empirical te...
Molecular imaging is a key tool in the diagnosis and treatment of prostate cancer (PCa). Magnetic Resonance (MR) plays a major role in this respect with nuclear medicine imaging, particularly, Prostate-Specific Membrane Antigen-based, (PSMA-based) po...
In recent years, the application of artificial intelligence (AI) has become more and more widespread in medicine and dentistry. It may contribute to improved quality of health care as diagnostic methods are getting more accurate and diagnostic errors...
Integrating artificial intelligence into border control systems may help to strengthen security and make operations more efficient. For example, the emerging application of artificial intelligence for lie detection when inspecting passengers presents...
Artificial intelligence (AI) has permeated various sectors, including the pharmaceutical industry and research, where it has been utilized to efficiently identify new chemical entities with desirable properties. The application of AI algorithms to dr...
This study attempted to evaluate the learning effectiveness of using the MIT App Inventor platform and its Personal Image Classifier (PIC) tool in the interdisciplinary application. The instructional design was focused on applying PIC in the integrat...
Background: Schizophrenia affects patients’ organizational thinking, as well as their ability to identify problems. The main objective of this study was to explore healthcare consultants’ application of AI mind maps to educate patients wi...
Recent advances in artificial intelligence (AI) and telemedicine are transforming healthcare delivery, particularly in rural and underserved communities. Background/Objectives: The purpose of this systematic review is to explore the use of AI-driven...
Smart cities seek to improve urban living by embedding advanced technologies into infrastructures, services, and governance. Edge Artificial Intelligence (Edge AI) has emerged as a critical enabler by moving computation and learning closer to data so...
Background: With the availability of extensive health data, artificial intelligence has an inordinate capability to expedite medical explorations and revamp healthcare.Artificial intelligence is set to reform the practice of medicine soon. Despite th...
Background/Objectives: Artificial intelligence (AI) is gaining an increasing amount of influence in various fields, including medicine. In radiology, where diagnoses are based on collaboration between diagnostic devices and the professional experienc...
This research explores the prospective implementations of artificial intelligence (AI) algorithms within the agrifood sector, focusing on the Spanish context. AI methodologies, encompassing machine learning, deep learning, and neural networks, are in...
In the last few years, Augmented Reality, Virtual Reality, and Artificial Intelligence (AI) have been increasingly employed in different application domains. Among them, the retail market presents the opportunity to allow people to check the appearan...
Recently, artificial intelligence (AI) has been adopted in a number of Internet of Things (IoT) application systems to enhance intelligence. We have developed a ready-made server with rich built-in functions to collect, process, display, analyze, and...
Background/Objectives: Artificial intelligence (AI) has emerged as a transformative tool in oral medicine, where it holds significant promise for enhancing the diagnosis, treatment, and management of oral cancer. Our team aimed to develop a new tool,...
Artificial intelligence (AI) is an important force leading to a new round of scientific and technological revolution, as well as promoting the realization of the dual carbon goals of China. Determining how to take advantage of AI during the green ind...
This study explores the application of generative artificial intelligence (AI) in financial risk forecasting, aiming to assess its potential in enhancing both the accuracy and interpretability of predictive models. Traditional methods often struggle...
Smart grid (SG), an evolving concept in the modern power infrastructure, enables the two-way flow of electricity and data between the peers within the electricity system networks (ESN) and its clusters. The self-healing capabilities of SG allow the p...
Nowadays, Internet of Things (IoT) application systems play an essential role in smart cities, industry, healthcare, agriculture, and smart homes. For non-expert users, designing and implementing IoT application systems remains challenging, especiall...
The friction factor is a widely used parameter in characterizing flow resistance in pipes and open channels. Recently, the application of machine learning and artificial intelligence (AI) has found several applications in water resource engineering....
Artificial intelligence (AI) is increasingly discussed as a tool for supporting sustainable development in Africa, particularly in healthcare, agriculture, education, and environmental management. However, the feasibility of AI deployment in low-reso...
Artificial intelligence (AI) has gained significant traction in medical image analysis, including dentistry, aiding clinicians in making timely and accurate diagnoses. Radiographs, such as orthopantomograms (OPGs) and intraoral radiographs, along wit...
Background/Objectives: The integration of artificial intelligence (AI) into pharmaceutical sciences and industry can accelerate the design and optimization of drug delivery systems and biotechnological processes and operations. Methodology: In this w...
This paper analyzes the impact of AI systems in the judicial domain, adopting an actor–network theory (ANT) framework and focusing on accountability issues emerging when such technologies are introduced. Considering three different types of AI...
This paper focuses on the development of 3D digital resources and a learning platform for the Engineering Drawing course, exploring construction pathways and implementation methodologies while further investigating the application potential of artifi...
of 194