Machine learning
Researchers from Pusan National University have developed a radial basis function neural network (RBFNN) model that accurately forecasts Vietnam's long-term annual electricity consumption. The model, trained on data from 1990 to 2015, was validated using actual consumption data from 2016 to 2020 and was found to outperform the
Machine learning
Researchers from Northwestern Polytechnic University in Xi'an, People's Republic of China, have made a breakthrough in enhancing the landing control capability of solar-powered unmanned aerial vehicles (UAVs) with a low-speed and high-aspect-ratio blended wing body configuration. By combining swallow tails and distributed differential propellers, the team
Machine learning
Recent studies have demonstrated the potential of reinforcement learning (RL) to deliver robust and precise control across diverse applications, including the flight control of fixed-wing unmanned aerial vehicles (UAVs). However, a critical gap persists in the rigorous evaluation and comparative analysis of leading continuous-space RL algorithms. A new research paper
Machine learning
A new research study published in the Journal of Engineering presents a CNN-LSTM-Attention (CLA) model that effectively estimates the leaf area index (LAI) of rice across all growth stages using unmanned aerial vehicle (UAV) multispectral imagery and deep learning techniques. The CLA model outperforms other approaches, achieving a coefficient of
Machine learning
Researchers have made significant strides in unmanned aerial vehicle (UAV) multispectral systems, enabling the precise and efficient estimation of japonica rice yield in cold regions within the framework of precision agriculture. This innovation presents a viable alternative to conventional yield estimation methods and holds substantial practical value for rice yield
Machine learning
Researchers at INTI International University have developed a novel three-layer blockchain architecture, dubbed 3L-BC, designed to enhance security and privacy in unmanned aerial vehicle (UAV) communications through collaborative machine learning. The system, which was inspired by the need to address challenges faced by UAVs, including data confidentiality breaches, single points
Machine learning
A recent study published in the American Journal of Orthodontics and Dentofacial Orthopedics has shed light on the accuracy and reliability of artificial intelligence (AI) language models in providing medical information. The study, conducted by Istanbul University-Cerrahpasa researchers, evaluated the performance of three popular AI language models - ChatGPT-4, Gemini,
Machine learning
Mental health challenges significantly contribute to the global burden of disease, but traditional approaches to psychological assessment and care are often resource-intensive and inaccessible. The burgeoning field of artificial intelligence, particularly large language models (LLMs), presents an opportunity to address these constraints. This review synthesizes recent applications of LLMs in
Machine learning
Graduate nursing students face persistent challenges in academic writing, with the rise of artificial intelligence (AI) technologies exacerbating these issues. A recent report by researchers from the Catholic University of America highlights the potential of AI to support academic writing in nursing graduate programs. The study explores the impact of
Artificial intelligence
Medical school admissions committees rely on personal statements to evaluate applicants' values, motivations, and experiences. However, with the rise of artificial intelligence (AI), a new study suggests that AI-generated personal statements may become a concern for maintaining credibility in medical school admissions. Researchers from Nemours Children's Hospital
Artificial intelligence
A comprehensive study by the Premiere Research Institute has critically assessed existing theories, conceptual models, and frameworks to explain the acceptance and resistance of artificial intelligence (AI) among medical doctors. The research, backed by the National Science And Technology Council, aimed to evaluate the capacity of various paradigms to explain
Artificial intelligence
A comprehensive study by the Premiere Research Institute has critically assessed existing theories, conceptual models, and frameworks to explain the acceptance and resistance of artificial intelligence (AI) among medical doctors. The research, backed by the National Science And Technology Council, aimed to evaluate the capacity of various paradigms to explain
