首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Studies from School of Information Engineering Reveal New Findings on Intelligen t Systems (Construction of GCNN-based intelligent recommendation model for answe ring teachers in online learning system)

    102-103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 intelligent syste ms have been published. According to news reporting out of Nanchang, People’s Re public of China, by NewsRx editors, research stated, “In response to the limitat ions of the existing online learning system regarding the efficiency and accurac y of the question-and-answer (Q&A) teacher recommendation method, t his research develops a Q&A teacher recommendation model utilizing a Graph Convolutional Neural Network.”

    Radboud University Researchers Describe New Findings in Symmetric Cryptology (Ti ghtening Leakage Resilience of the Suffix Keyed Sponge)

    103-104页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on sy mmetric cryptology. According to news reporting from Nijmegen, Netherlands, by N ewsRx journalists, research stated, “Lightweight cryptographic constructions are often optimized on multiple aspects that put the security bounds to the limit. In this respect, it is important to obtain security bounds that are tight and gi ve an accurate and exact indication of the generic security.”

    Data on Artificial Intelligence Discussed by a Researcher at Federal University Rio de Janeiro (A 30-Year Review on Nanocomposites: Comprehensive Bibliometric I nsights into Microstructural, Electrical, and Mechanical Properties Assisted by ...)

    104-105页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news reporting out of Rio de Janeiro, Brazil, by NewsRx editors, research stated, “From 1990 to 2024, this study presents a groundbreak ing bibliometric and sentiment analysis of nanocomposite literature, distinguish ing itself from existing reviews through its unique computational methodology. D eveloped by our research group, this novel approach systematically investigates the evolution of nanocomposites, focusing on microstructural characterization, e lectrical properties, and mechanical behaviors.”

    Research Reports from University of Milan Provide New Insights into Artificial I ntelligence (Explainable and interpretable artificial intelligence in medicine: a systematic bibliometric review)

    105-106页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on artificial intelligence have been published. According to news reporting from the University of Milan by NewsRx journalists, research stated, “This review aims to explore the growing i mpact of machine learning and deep learning algorithms in the medical field, wit h a specific focus on the critical issues of explainability and interpretability associated with black-box algorithms. While machine learning algorithms are inc reasingly employed for medical analysis and diagnosis, their complexity undersco res the importance of understanding how these algorithms explain and interpret d ata to take informed decisions.”

    Studies from Xidian University Add New Findings in the Area of Computational Int elligence (Stfnet: Self-supervised Transformer for Infrared and Visible Image Fu sion)

    106-107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 - Com putational Intelligence is the subject of a report. According to news reporting originating in Guangzhou, People’s Republic of China, by NewsRx journalists, res earch stated, “Most of the existing infrared and visible image fusion algorithms rely on hand-designed or simple convolution-based fusion strategies. However, t hese methods cannot explicitly model the contextual relationships between infrar ed and visible images, thereby limiting their robustness.”

    Investigators from Liaoning Technical University Zero in on Machine Learning (Le ngth-scale Effect On the Hardness of Metallic/ceramic Multilayered Composites: a Machine Learning Prediction)

    107-108页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting out of Liaoning, People’s Republic of Chi na, by NewsRx editors, research stated, “The length-scale effect on the hardness of Al/Si3N4 multilayered composites were investigated via combined experimental and machine learning approaches. It was found that the hardness decreases with increase of the individual layer thickness, in agreement with the classic Hall-P etch relation.”

    New Findings in Machine Learning Described from University of Fribourg (It’s not all in your feet: Improving penalty kick performance with human-avatar interact ion and machine learning)

    108-109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 intelligenc e is the subject of a new report. According to news originating from Fribourg, S witzerland, by NewsRx correspondents, research stated, “Penalty kicks are increa singly decisive in major international football competitions.”

    Study Findings from Royal Surrey County Hospital Update Knowledge in Robotics (R obotic excision of a giant seminal vesicle cyst)

    108-108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 robotics are presented i n a new report. According to news reporting from Guildford, United Kingdom, by N ewsRx journalists, research stated, “Zinner syndrome is a rare congenital condit ion characterized by unilateral renal agenesis, ejaculatory duct obstruction, an d seminal vesicle cyst.”

    Research Conducted at Ningbo University Has Provided New Information about Machi ne Learning (Detecting Genuine Multipartite Entanglement Via Machine Learning)

    109-110页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Ningbo, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “In recent years, supervised and semisupervised machine learning methods such as neural net works, support vector machines (SVMs), and semisupervised support vector machine s (S4VMs) have been widely used in quantum entanglement and quantum steering ver ification problems. However, few studies have focused on detecting genuine multi partite entanglement based on machine learning.”

    Reports Outline Machine Learning Findings from University of Castilla La Mancha (Pattern Recognition Based On Statistical Methods Combined With Machine Learning In Railway Switches)

    110-111页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from Ciudad Rea l, Spain, by NewsRx correspondents, research stated, “Railway switches are criti cal components in the rail system. Operation and maintenance tasks are essential to ensure proper functioning and avoid any failure that can cause delays, reduc ing operational safety.”