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    Recent Findings from University of South-Eastern Norway Has Provided New Information about Machine Learning (Automated Machine Learning Driven Model for Predicting Platform Supply Vessel Freight Market)

    95-96页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news originating from Horten, Norway, by NewsRx correspondents, research stated, “Platform Supply Vessels (PSVs) play an essential role in supporting oil and gas platforms, and other offshore structures b y transporting crew members, personnel, provisions, and further indispensable equipment from onshore to operational sites. PSV freight rate movements are subject to a complex array of non -linear interconnected influential factors.”

    Studies from University of Central Florida Add New Findings in the Area of Machine Learning (Encrypted Network Traffic Analysis and Classification Utilizing Machine Learning)

    96-96页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Orlando, Florida, by NewsRx editors, research stated, “Encryption is a fundamental security measure to safeguard data during transmission to ensure confidentiality while at t he same time posing a great challenge for traditional packet and traffic inspection.”

    University of Pittsburgh Reports Findings in Machine Learning (QupKake: Integrating Machine Learning and Quantum Chemistry for Micro-pKa Predictions)

    96-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting out of Pittsburgh, Pennsylvania, by NewsRx editors, research stated, “Accurate prediction of micro-pvalues is crucial for understanding and modulating the acidity and basicity of organic molecules, with applications in drug discovery, materials science, and environmental chemistry. This work introduces QupKake, a novel method that combines graph neural network models with semiempirical quantum mechanical (QM) features to achieve exceptional accuracy and generalization in micro-p prediction.”

    Data on Artificial Intelligence Reported by Antonio Marin and Colleagues (Artifi cial Intelligence Applied to Forced Spirometry in Primary Care)

    97-97页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news reporting originating from Sevi le, Spain, by NewsRx correspondents, research stated, “This study aims to create an artificial intelligence (AI) based machine learning (ML) model capable of pr edicting a spirometric obstructive pattern using variables with the highest predictive power derived from an active case-finding program for COPD in primary car e. A total of 1190 smokers, aged 30-80 years old with no prior history of respir atory disease, underwent spirometry with bronchodilation.”

    Researchers from Taiyuan University of Technology Report Recent Findings in Artificial Intelligence [Application of Artificial Intelligence ( Ai)-enhanced Biochemical Sensing In Molecular Diagnosis and Imaging Analysis: Advancing and Challenges]

    98-99页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Artificial Intelligence are discussed in a new report. According to news reporting from Shanxi, People’s Republic of China, by NewsRx journalists, research stated, “Biochemical sensing plays a vital role in the research of life and natural science. However, with the increase of environmental complexity and amount of sample, traditional sensors cannot meet the needs of accurate and efficient analysis of numerous data.”

    Researchers from Imperial College London Detail New Studies and Findings in the Area of Artificial Intelligence (Quality, Safety and Artificial Intelligence)

    99-100页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Artificial Intelligence. According to news reporting originating from London, United Kingdom, by NewsRx correspondents, research stated, “Healthcare quality and safety span multiple topics across the spectrum of academic and clinical discip lines.”

    Kyoto University Researcher Discusses Research in Robotics (Autonomous assembly and disassembly of gliding molecular robots regulated by a DNA-based molecular controller)

    100-101页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on robotics have bee n published. According to news reporting out of Kyoto, Japan, by NewsRx editors, research stated, “In recent years, there has been a growing interest in enginee ring dynamic and autonomous systems with robotic functionalities using biomolecules.”

    Findings from Texas A&M University Update Understanding of Machine Learning (Optimizing Minimum Miscibility Pressure Prediction Using Machine Learning: a Comprehensive Evaluation and Validation)

    101-102页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting out of College Station, Texas, by NewsRx editors, research stated, “This study provides the proof-of-concept for identifying the most suitable machine-learning (ML) model that predicts minimum miscibility pressure (MMP) based on temperature, crude oil, and injected fluid composition. MMP defined as the lowest pressure injected gas developing miscibility with reservoir oil is crucial for gas-enhanced oil recovery.”

    Findings from National Institute of Technology Yields New Findings on Artificial Intelligence (Insights Into Airborne Particulate Matter: Artificial Intelligence-driven Pm2.5 Modelling In Hyderabad District, India)

    102-103页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Artificial Intelligence are discussed in a new report. According to news reporting originating fr om Tamil Nadu, India, by NewsRx correspondents, research stated, “Air pollution is one of the grave concerns of the modern era, claiming millions of lives and adversely impacting the economy. The primary objective of this study was to develop advanced forecast models for PM2.5 levels in the Hyderabad district of India using artificial intelligence techniques.”

    Studies from National Institute of Technology Yield New Information about Machine Learning (Live-bed Scour Depth Modelling Around the Bridge Pier Using Ann-pso, Anfis, Mars, and M5tree)

    103-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting out of Patna, India, by NewsRx editors, research stated, “In the present research, an attempt is made to use four machine learning technique techniques such as artificial neural network combined with particle swarm optimization (ANN-PSO), adaptive neuro-fuzzy inference system (AN FIS), multivariate adaptive regression splines (MARS), and M5Tree machine learning (ML) approaches to model the scour depth. A total of 534 live bed scouring (L BS) experimental and field datasets are collected for bridge pier scouring from the previously published literature, and a gamma test has been performed to identify the best input parameter combination.”