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 from Beijing, People’s Republic of C hina, by NewsRx journalists, research stated, “Accurately predicting the stackin g fault energy (SFE), as one of the crucial factors influencing the material def ormation mechanism, is a focal point in research. This study utilizes measured S FE values from the literature on austenitic alloys to establish a predictive mod el for the relationship between chemical composition and SFE using machine learn ing techniques.” Financial support for this research came from National Key Research and Developm ent Program of China.
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 in Beijing, Peo ple’s Republic of China, by NewsRx journalists, research stated, “The vegetation dynamics of the Sahel-Sudan-Guinea region in Africa, one of the largest transit ion zones between arid and humid zones, is of great significance for understandi ng regional ecosystem changes. However, a time-unvarying trend based on linear a ssumption challenges the overall understanding of vegetation greenness evolution and of tracking a complex ecosystem response to climate in the Sahel-Sudan-Guin ea region.Methods This study first applied the ensemble empirical mode decomposi tion (EEMD) method to detect the time-varying trends in vegetation greenness bas ed on normalized difference vegetation index (NDVI) data in the region during 20 01-2020, and then identified the dominant climatic drivers of NDVI trends by emp loying explainable machine learning framework.Results The study revealed an over all vegetation greening but a significant nonlinear spatio-temporal evolution ch aracteristic over the region.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Central Nervous System Diseases and Conditions - Epilepsy is the subject of a report. According to new s reporting out of Changsha, People’s Republic of China, by NewsRx editors, rese arch stated, “Valproic acid (VPA) is a primary medication for epilepsy, yet its hepatotoxicity consistently raises concerns among individuals. This study aims t o establish an automated machine learning (autoML) model for forecasting the ris k of abnormal increase of transaminase levels while undergoing VPA therapy for 1 995 epilepsy patients.”
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 Cardiovascula r Diseases and Conditions - Thrombosis have been published. According to news re porting originating in Nashville, Tennessee, by NewsRx journalists, research sta ted, “The objective of this work is to introduce and demonstrate the effectivene ss of a novel sensing modality for contact detection between an off-the-shelf as piration catheter and a thrombus. A custom robotic actuator with a pressure sens or was used to generate an oscillatory vacuum excitation and sense the pressure inside the extracorporeal portion of the catheter.”
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 Artificial In telligence have been published. According to news reporting originating from Wuh an, People’s Republic of China, by NewsRx correspondents, research stated, “Arti ficial intelligence models can process massive amounts of data and surpass human experts in predictions. However, the lack of trust in algorithms sealed in the ‘black box’ is one of the most challenging barriers to taking advantage of AI in human decision-making.” Funders for this research include National Natural Science Foundation of China ( NSFC), Knowledge Innovation Program of Wuhan-Shuguang, Fundamental Research Fund s for the Central Universities.
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 from Le Quy Don Technical University by NewsRx journalists, research stated, “In recent times, the efficacy of machine l earning (ML) algorithms as tools for forecasting structural damage has become in creasingly evident.” Our news correspondents obtained a quote from the research from Le Quy Don Techn ical University: “However, input data in structural health monitoring predominan tly comprises normal operational states or states with minor deviations from the initial condition, lacking potentially hazardous states. Consequently, creating a realistic dataset for machine learning models to identify structural damage p oses a challenge. If such data were obtainable, it might involve parameters like stress intensity factor range and stress ratio, which are often difficult to me asure within real structures. In this paper, ML models, including Artificial Neu ral Network (ANN), Extreme Gradient Boosting (XGB), and Random Forest (RF), were constructed to predict the locations, widths, and depths of saw-cuts in steel b eams. The prognostications were based on fluctuations in natural frequencies. Th e natural frequencies under various damage scenarios were identified using the F inite Element Method (FEM).”
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 from Shanxi, People’s Republic of Ch ina, by NewsRx journalists, research stated, “Soil salinization is a vital facto r in global land degradation, seriously affecting sustainable agricultural devel opment. Efficient monitoring of soil salinity using satellite remote sensing is critical for saline soil management.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key Research and Development Program for the 14th F ive-Year Plan.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news originating from Lecce, Italy, by NewsRx corr espondents, research stated, “The phonocardiogram (PCG) can be used as an afford able way to monitor heart conditions. This study proposes the training and testi ng of several classifiers based on SVMs (support vector machines), k-NN (k-Neare st Neighbor), and NNs (neural networks) to perform binary (“Normal”/”Pathologic” ) and multiclass (“Normal”, “CAD” (coronary artery disease), “MVP” (mitral valve prolapse), and “Benign” (benign murmurs)) classification of PCG signals, withou t heart sound segmentation algorithms.” Funders for this research include Italian Ministry of Health; “sistema Di Monito raggio Ed Analisi Basato Su Intelligenza Artificiale Per Pazienti Affetti Da Sco mpenso Cardiaco Cronico Con Dispositivi Medici Miniinvasivi E Indossabili Evolut i-smart Care”.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report. According to news originating from the University of Chic hester by NewsRx editors, the research stated, “The literature for assessing onl ine and offline shopping behaviours that are linked to intelligent robotic goods and services is inadequate.” Financial supporters for this research include Ministry of Education, Taiwan. Our news correspondents obtained a quote from the research from University of Ch ichester: “In this study, we applied the Theory of Planned Behaviour model for g uidance regarding how consumer behaviour affects their purchase intentions for i ntelligent robotic goods and services. Data from 408 respondents were gathered t hrough an online questionnaire binned into Online and Overall Shoppers, and anal ysed using SPSS, AMOS, and Covariance-Based Structural Equation Modelling softwa re to evaluate the appropriateness of the measurements and to confirm data relia bility, convergence, divergence, and validity. These tools were also used to tra ck and test hypothesized relationships between the variables and model construct s used in this study.”
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 from Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “Developing heavy metal adsorbents with high efficiency is imperative for advanced wastewater treatment. So far, the de sign of adsorbents has primarily relied on the experimental and molecular simula tion methods, which is inefficient and time-consuming due to the vast number of potential materials.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
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