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

    Findings from Zhejiang University Provides New Data about Robotics (3d Object Se gmentation Using Cross-window Point Transformer With Latent Semantic Boundary Gu idance)

    20-21页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics have been pr esented. According to news reporting originating from Hangzhou, People’s Republi c of China, by NewsRx correspondents, research stated, “Accurate 3D object segme ntation in point clouds is a basis for industrial robot applications, such as ro bot manipulation and digital twin, which require an understanding of the 3D envi ronment. However, the unstructured and disordered nature of point clouds makes i t challenging, especially for the incomplete 3D data under a single view in the real-world scenario.”

    Josip Juraj Strossmayer University Osijek Reports Findings in Machine Learning ( Ensemble machine learning prediction of anaerobic co-digestion of manure and the rmally pretreated harvest residues)

    21-21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 th e subject of a report. According to news reporting originating from Osijek, Croa tia, by NewsRx correspondents, research stated, “This study aimed to clarify the statistical accuracy assessment approaches used in recent biogas prediction stu dies using stateof- the-art ensemble machine learning approach according to 10-f old cross-validation in 100 repetitions. Three thermally pretreated harvest resi due types (maize stover, sunflower stalk and soybean straw) and manure were anae robically co-digested, measuring biogas and methane yield alongside eight therma l preprocessing and biomass covariates.”

    New Machine Learning Study Results Reported from Tomsk Polytechnic University (R obust Machine Learning Predictive Models for Real-time Determination of Confined Compressive Strength of Rock Using Mudlogging Data)

    22-23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 out of Tomsk, Russia, by NewsRx edit ors, research stated, “Mud logging data, which quantify the energy expended in r ock breaking during drilling, are routinely acquired during drilling. These data offer a practical means to estimate the geomechanical properties of rocks, part icularly confined compressive strength (CCS), avoiding the need for costly and d estructive laboratory tests.”

    Study Results from Xi’an Polytechnic University Broaden Understanding of Intelli gent Systems (Sparse Semi-supervised Multi-label Feature Selection Based On Late nt Representation)

    23-23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 - Intelligent Systems. According to news reporting originating in Xi’an, People’s Republic of China, by NewsRx journalists, research stated, “Wit h the rapid development of the Internet, there are a large number of high-dimens ional multi-label data to be processed in real life. To save resources and time, semi-supervised multi-label feature selection, as a dimension reduction method, has been widely used in many machine learning and data mining.”

    Investigators at National Renewable Energy Laboratory Report Findings in Artific ial Intelligence (Artificial Intelligence-aided Wind Plant Optimization for Nati onwide Evaluation of Land Use and Economic Benefits of Wake Steering)

    24-24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 from Golden, Colorado, by N ewsRx journalists, research stated, “If clean energy pathways are to harness mas sive increases in wind power, innovations with broad geographic viability will b e needed to support buildout in diverse locations. However, geodiversity in impa ct potential is seldom captured in technology assessment.”

    Research from National Formosa University in the Area of Machine Learning Descri bed (Construction of a Cutting-Tool Wear Prediction Model through Ensemble Learning)

    25-26页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from Yunlin, Taiwan, by Ne wsRx correspondents, research stated, “This study begins by conducting side mill ing experiments on SKD11 using tungsten carbide TiAlN-coated end mills to compar e the surface roughness performance between two combinations of milling process parameters (feed rate and radial depth of cut), along with three ultrasonic-assi sted methods (rotary, dual-axis, and rotary combined with dual-axis). The result s suggest that the rotary (z-axis oscillation) ultrasonic-assisted method may pr ovide better performance.”

    Data from University of Notre Dame Provide New Insights into Robotics (Engineeri ng Compliance In Legged Robots Via Robust Co-design)

    25-25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 Robotics. According to news reporting from Notre Dame, Indiana, by NewsRx journa lists, research stated, “This article presents a design framework for the scalab le co-design of hardware and control as applied to improving the energy efficien cy of legged robots with parallel compliance. The proposed framework uses the Al ternating Direction Method of Multipliers for design synthesis by solving large- scale trajectory optimization problems.”

    Findings from Tyndall National Institute in the Area of Machine Learning Describ ed [Prediction of Working Outcomes In Trainee Dogs Using the Novel Assistance Dog Test Battery (Adtb)]

    27-27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 Machine Learning are pre sented in a new report. According to news reporting out of Cork, Ireland, by New sRx editors, research stated, “Canine behaviour is commonly assessed using test batteries comprising a test protocol and ethogram scoring system. These are part icularly valuable for assistance dog organisations as a tool for evaluating trai nee dogs’ proficiency in fundamental skills.” Financial supporters for this research include Interreg Europe, Science Foundati on Ireland, Science Foundation Ireland, Department of Agriculture, Food and Mari ne [VistaMilk grant].

    University of Electronic Science and Technology of China Reports Findings in Imm unization (DeepAVP-TPPred: identification of antiviral peptides using transforme d image-based localized descriptors and binary tree growth algorithm)

    28-29页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Public Health - Immunization is t he subject of a report. According to news reporting originating from Sichuan, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Despite th e extensive manufacturing of antiviral drugs and vaccination, viral infections c ontinue to be a major human ailment. Antiviral peptides (AVPs) have emerged as p otential candidates in the pursuit of novel antiviral drugs.”

    First Affiliated Hospital of Soochow University Reports Findings in Type 2 Diabe tes (Explore the value of carotid ultrasound radiomics nomogram in predicting is chemic stroke risk in patients with type 2 diabetes mellitus)

    29-30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 Nutritional and Metabo lic Diseases and Conditions - Type 2 Diabetes is the subject of a report. Accord ing to news reporting from Jiangsu, People’s Republic of China, by NewsRx journa lists, research stated, “Type 2 Diabetes Mellitus (T2DM) with insulin resistance (IR) is prone to damage the vascular endothelial, leading to the formation of v ulnerable carotid plaques and increasing ischemic stroke (IS) risk. The purpose of this study is to develop a nomogram model based on carotid ultrasound radiomi cs for predicting IS risk in T2DM patients. 198 T2DM patients were enrolled and separated into study and control groups based on IS history.”