Machine learning
Research conducted by Vellore Institute of Technology has led to the development of a real-time meningioma detection system using a deep transfer learning convolutional neural network approach. The model, which utilizes a very deep VGG-16 network, achieved an overall accuracy of 99.0% in classifying meningiomas, tuberculomas, and normal brain
Machine learning
A recent study published in the journal Sustainable Futures has shed light on the environmental consequences of economic growth using four key dimensions: carbon dioxide emissions, freshwater availability, forest area, and biodiversity. The research, conducted by the Indian Institute of Science Education and Research (IISER) Bhopal, employed advanced machine learning
Machine learning
Researchers from Inje University, in partnership with Princess Nourah Bint Abdulrahman University, have made significant advancements in artificial intelligence by employing machine learning approaches for nuclei segmentation in pathological images. This innovative work assesses the quality of nuclei image segmentation using various methods, including K-means clustering, Random Forest, Support Vector
Machine learning
Researchers from Daffodil International University have developed a novel AI-powered system for early prediction and classification of chronic kidney disease (CKD), revolutionizing personalized medicine for patients worldwide. The team leveraged machine learning algorithms and ensemble methods to analyze clinical features of CKD, achieving unprecedented accuracy in diagnosis. The breakthrough has
Machine learning
Researchers at the Agricultural Research Organization in Rishon LeZion, Israel, have made a significant breakthrough in the field of artificial intelligence. The team, led by Roni Azriel, has developed an improved methodology for characterizing task-oriented optimal manipulator configurations, which has been tested on a case study of selective spraying in
Machine learning
A partnership between Protein Industries Canada and three companies, Grain Discovery, Inarix, and Sevita International, aims to bring artificial intelligence into the grain industry, enhancing Canada's trusted grain quality system. The companies will develop a smartphone-based grain quality assurance tool that leverages AI to provide real-time quality assessments,
Machine learning
A recent study from Nanjing University has addressed the demand for AI literacy education by designing a curriculum that balances theoretical knowledge with practical application. The research, led by Rong SUN and Baiyang LI, aims to develop a comprehensive learning system for students with varying academic backgrounds, expertise, and learning
Machine learning
Research has revealed a groundbreaking approach to generating executable Unified Modeling Language (UML) code from image-based UML diagrams. This innovative method uses a large multimodal language model to automate the code generation process, proposing a new approach to tackle the challenge of generating executable UML code from UML diagrams. The
Machine learning
A recent research study led by Polina Lemenkova from the Alma Mater Studiorum-University of Bologna has shed new light on the use of machine learning algorithms for processing remote sensing data, particularly in land cover mapping. By utilizing a six-year dataset from 2018 to 2024, the research team demonstrated the
Machine learning
Research from Kingston University in London, United Kingdom, has published a study on the integration of artificial intelligence (AI) in automating the prediction and optimization of energy performance in residential buildings. The study aims to explore the potential of AI in enhancing energy efficiency, a key concern in architectural design,
Machine learning
A new research study, supported by the State Key Laboratory of Subtropical Building Science at South China University of Technology, has successfully integrated machine learning algorithms with multi-objective genetic optimization to predict and optimize the performance of high-rise office buildings in China's Hot Summer and Warm Winter (HSWW)
Machine learning
Researchers from Universitas Islam Riau, in collaboration with international colleagues, have conducted a comprehensive benchmarking study of 21 state-of-the-art open-source large language models (LLMs) for phishing URL detection. According to the study, large open-source LLMs (27B parameters) achieve performance exceeding 90% F1-score without fine-tuning, closely matching proprietary models. The research
