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    Findings from University of Sfax Has Provided New Data on Robotics (Nonsingular Fast Terminal Sliding Mode Control of a Parallel Robot With Workspace Optimizati on and Trajectory Planning)

    30-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting originatingfrom Sfax, Tunisia, by NewsRx co rrespondents, research stated, “This paper presents a nonsingular fastterminal sliding mode control for the PAR 4 parallel robot, focusing on workspace optimiz ation andtrajectory planning. First, an analytical inverse kinematic model is d erived to calculate the workspace,which is then extended using parameter optimi zation techniques.”

    Studies Conducted at University of Nantes on Machine Learning Recently Reported (Micromechanics and Microstructure Based Machine Learning Approach: Unveiling th e Role of Porosity and Hydrated Phases On the Tensile Behaviour of Cement Pastes )

    31-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingfrom Nantes, France, by NewsR x correspondents, research stated, “The fracture process and themechanical perf ormance of the cement paste rely significantly on its tensile behaviour. Machine learningmethods have been recently developed to predict this behaviour based o n numerous experimentalmeasurements.”

    Universitas Teuku Umar Researchers Provide New Study Findings on Support Vector Machines [Sentiment Analysis on Tabungan Perumahan Rakyat (TA PERA) Program by using Support Vector Machine (SVM)]

    32-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on have been pub lished. According to news reporting outof the Universitas Teuku Umar by NewsRx editors, research stated, “This study aims to analyze publicsentiment towards t he Housing Savings Program (TAPERA) using the Support Vector Machine (SVM)algor ithm. The dataset comprises 16,061 reviews about TAPERA which was gathered from web scrappingand YouTube API.”

    Data from Politecnico Colombiano Jaime Isaza Cadavid Broaden Understanding of Ro botics (Lightweight Two-Layer Control Architecture for Human-Following Robot)

    33-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on robotics is the subjec t of a new report. According to news reportingout of Medellin, Colombia, by New sRx editors, research stated, “Human detection and tracking are criticaltasks f or assistive autonomous robots, particularly in ensuring safe and efficient huma n-robot interactionin indoor environments.”

    Central South University Reports Findings in Central Nervous System Agents (Pred icting drug craving among ketamine-dependent users through machine learning base d on brain structural measures)

    34-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Central Nervous System Agents is the subjectof a report. According to news repo rting from Hunan, People’s Republic of China, by NewsRx journalists,research st ated, “Craving is a core factor driving drug-seeking and -taking, representing a significant riskfactor for relapse. This study aims to identify neuroanatomica l biomarkers for quantifying and predictingcraving.”

    Study Results from Russian Academy of Sciences Broaden Understanding of Machine Learning (Using Machine Learning Towards Enhancement of Electrochemical Activity In Oer/orr Half-reactions of Mxene Cathode Materials for Li-air Batteries)

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting fromMoscow, Russia, by NewsRx journalis ts, research stated, “Metal-air batteries are the target of the evergrowingint erest as considering as the new ‘lead’ technology among the most promising elect rochemicalenergy storage solutions. The projected energy density of lithium-air batteries considered in this studyexceeds current commercial lithium-ion batte ries by more than three times.”

    New Machine Learning Data Have Been Reported by Investigators at Boston Universi ty (Using Machine-learning-aided Computational Fluid Dynamics To Facilitate Desi gn of Experiments)

    36-37页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originating fromBoston, Massachusetts, by NewsRx c orrespondents, research stated, “The design of novel reactors andchemical proce sses requires an understanding of the fundamental chemical-physical processes at smallspatial and temporal scales and a systematic scale-up of these studies to investigate how the process willperform at industrial scales. The financial an d temporal costs of these studies can be significant.”

    Researchers from GLA University Provide Details of New Studies and Findings in t he Area of Machine Learning (Assessment of face image quality for improvement of recognition system with machine learning)

    36-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingout of GLA University by News Rx editors, research stated, “Face recognition systems are crucial in securitya nd surveillance.”Our news editors obtained a quote from the research from GLA University: “Howeve r, their effectivenessdepends on the quality of input face images. This paper i ntroduces a novel Face Image Quality Assessment(FIQA) framework to enhance reco gnition accuracy. It evaluates image quality using various factors andcombines them to classify the face quality index.”

    Institute of General and Physical Chemistry Reports Findings in Machine Learning [Preventing mislabeling of organic white button mushrooms (A garicus bisporus) combining NMR-based foodomics, statistical, and machine learni ng approach]

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Belgrade, Se rbia, by NewsRx correspondents, research stated, “Organic foodsare among the mo st susceptible to fraud and mislabeling since the differentiation between organi c and conventionally grown food relies on a paper-trail-based system. This study aimed to develop a differentiationmodel that combines nuclear magnetic resonan ce (NMR), statistical approach (principal componentanalysis - PCA and partial l east square discriminant analysis - PLS-DA), and classification artificial neural network (cANN).”

    Xiangtan University Reports Findings in Colon Cancer (Prediction of mucinous ade nocarcinoma in colorectal cancer with mucinous components detected in preoperati ve biopsy diagnosis)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Colon Cance r is the subject of a report. Accordingto news originating from Xiangtan, Peopl e’s Republic of China, by NewsRx correspondents, researchstated, “Endoscopic bi opsy diagnosis for the preoperative assessment of mucinous components in patients with colorectal cancer is limited. This study investigated a radiomics model a nd established an explainableprediction model by using machine learning to diff erentiate between adenocarcinoma with mucinouscomponents and mucinous adenocarc inoma.”