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    South China University of Technology Reports Findings in Machine Learning (Predi ction of adsorption of metal cations by clay minerals using machine learning)

    77-77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 Guangzhou, People's Re public of China, by NewsRx correspondents, research stated, “Adsorption of heavy metals by clay minerals occurs widely at the solid-liquid interface in natural environments, and in this paper, the phenomenon of adsorption of Cd, Cu, Pb, Zn, Ni and Co by montmorillonite, kaolinite and illite was simulated using machine learning. We firstly used six machine learning models including Random Forest®, Extremely Forest(E), Gradient Boosting Decision Tree(G), Extreme Gradient Boosti ng(X), Light Gradient Boosting(LGB) and Category Boosting(CAT) to feature engine er the metal cations and the parameters of the minerals, and based on the featur e engineering results, we determined the first order hydrolysis constant(log K), solubility product constant(SPC), and higher hydrolysis constant (HHC) as the d escriptors of the metal cations, and site density(SD) and cation exchange capaci ty(CEC) as the descriptors of the clay minerals.”

    New Findings from China University of Mining and Technology Describe Advances in Nanocrystals (Smart So2 Sensor Based On Cs3cu2i5@fe2o3 Nanocrystals for Elimina ting Humidity ...)

    78-78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 Nanotechnolog y - Nanocrystals. According to news reporting out of Jiangsu, People's Republic of China, by NewsRx editors, research stated, “Sulfur dioxide is a colorless gas with strong pungent odor, and prolonged inhalation candamage the respiratory s ystem and heart. Precise measurement of sulfur dioxide is very important for the human health.”

    Findings from Sam Houston State University Provides New Data about Machine Learn ing (Human Skin Detection: an Unsupervised Machine Learning Way)

    81-81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 Ma chine Learning. According to news reporting originating in Huntsville, Texas, by NewsRx journalists, research stated, “Researchers have been involved for decade s in search of an efficient skin detection method. However, current methods have not overcome the significant challenges of skin detection, such as variation of illumination, various skin tones of different ethnic groups, and many others.”

    Studies from Jomo Kenyatta University of Agriculture and Technology Add New Find ings in the Area of Machine Learning (Predicting Road Traffic Collisions Using a Two-Layer Ensemble Machine Learning Algorithm)

    83-84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 originating from Jomo Kenyatta Universit y of Agriculture and Technology by NewsRx correspondents, research stated, “Road traffic collisions are among the world's critical issues, causing many casualti es, deaths, and economic losses, with a disproportionate burden falling on devel oping countries.”

    Data from Clemson University Update Knowledge in Robotics (The Claw: An Avian-In spired, Large Scale, Hybrid Rigid-Continuum Gripper)

    85-86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 Clemson, South Carolina, by News Rx editors, research stated, “Most robotic hands have been created at roughly the scale of the human hand, with rigid components forming the core structural ele ments of the fingers.”

    Faculty of Technology Reports Findings in Machine Learning (QSPR for the predict ion of critical micelle concentration of different classes of surfactants using machine learning algorithms)

    89-89页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Machine Learning is the subject o f a report. According to news originating from Medea, Algeria, by NewsRx corresp ondents, research stated, “The determination of the critical micelle concentrati on (CMC) is a crucial factor when evaluating surfactants, making it an essential tool in studying the properties of surfactants in various industrial fields. In this present research, we assembled a comprehensive set of 593 different classe s of surfactants including, anionic, cationic, nonionic, zwitterionic, and Gemin i surfactants to establish a link between their molecular structure and the nega tive logarithmic value of critical micelle concentration (pCMC) utilizing quanti tative structure-property relationship (QSPR) methodologies.”

    Data on Knee Pain Reported by Mauricio A. Guzman and Colleagues (Development of a Machine-Learning Model for Anterior Knee Pain After Total Knee Arthroplasty Wi th Patellar Preservation Using Radiological Variables)

    90-90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 Musculoskeletal Diseas es and Conditions - Knee Pain is the subject of a report. According to news repo rting from Santiago, Chile, by NewsRx journalists, research stated, “Anterior kn ee pain (AKP) following total knee arthroplasty (TKA) with patellar preservation is a common complication that significantly affects patients' quality of life. This study aimed to develop a machinelearning model to predict the likelihood o f developing AKP after TKA using radiological variables.”

    Fulbright University Vietnam Reports Findings in Machine Learning (Synergy of ma chine learning and density functional theory calculations for predicting experim ental Lewis base affinity and Lewis polybase binding atoms)

    92-92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 Ho Chi Minh City, Viet nam, by NewsRx correspondents, research stated, “Investigation of Lewis acid-bas e interactions has been conducted by ab initio calculations and machine learning (ML) models. This study aims to resolve two critical tasks that have not been q uantitatively investigated.”

    Study Results from Faculty of Psychology Update Understanding of Artificial Inte lligence (The Benefits and Costs of Explainable Artificial Intelligence In Visua l Quality Control: Evidence From Fault Detection Performance and Eye Movements)

    94-94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 Artificial Intelligence is now available. According to news reporting from Dresden, Germany, by NewsRx journalists, research stated, “Visual inspection tasks often require humans to c ooperate with artificial intelligence (AI)-based image classifiers. To enhance t his cooperation, explainable artificial intelligence (XAI) can highlight those i mage areas that have contributed to an AI decision.” Financial supporters for this research include German Research Foundation (DFG), German Research Foundation (DFG).

    New Data from University of Zagreb Illuminate Findings in Machine Learning (Impr oved Fetal Heartbeat Detection Using Pitch Shifting and Psychoacoustics)

    95-95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 Ma chine Learning. According to news reporting originating from Zagreb, Croatia, by NewsRx correspondents, research stated, “Fetal phonocardiography is a cost-effe ctive and non-invasive method for monitoring of fetal health. However, the captu red signal is often too noisy and unstable for reliable analysis.”