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    Findings from Jiangsu University Provides New Data about Robotics (An Fbg-based Slip Recognition and Monitoring Method for Nondestructive Grasping of Flexible Manipulator)

    67-68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 originating fromZhenjiang, People’s Republic of China , by NewsRx correspondents, research stated, “Slip sensation is animportant asp ect of tactile perception for robots. Real-time slip monitoring is crucial for s table grasping.”

    Researchers’ Work from Mahasarakham University Focuses on Machine Learning (Appl ied machine learning: Performance prediction of heat pipe with mesh wick)

    68-69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 artific ial intelligence. According to news originatingfrom Maha Sarakham, Thailand, by NewsRx correspondents, research stated, “This study presents aninvestigation o f a heat pipe with a mesh wick, utilizing machine learning (ML) techniques.”

    Findings from University of Manchester Broaden Understanding of Machine Learning (3d Printing of Biodegradable Polymers and Their Composites - Current State-of- the-art, Properties, Applications, and Machine Learning for Potential Future ... )

    69-70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 Ma chine Learning. According to news reportingoriginating from Manchester, United Kingdom, by NewsRx correspondents, research stated, “This reviewpaper comprehen sively examines the dynamic landscape of 3D printing and Machine Learning utiliz ingbiodegradable polymers and their composites, presenting a panoramic synthesi s of research developments,technological achievements, and emerging application s. By investigating a multitude of biodegradablepolymer types, the review paper delineates their suitability and compatibility with diverse 3D printingmethodo logies and demonstrates the merit of machine learning techniques, in future manu facturingprocesses.”

    Texas A&M University Reports Findings in Endoscopy (Computerassist ed discrimination of cancerous and pre-cancerous from benign oral lesions based on multispectral autofluorescence imaging endoscopy)

    70-70页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Surgical Procedures - Endoscopy is the subject of a report. Accordingto news reporting originating fr om College Station, Texas, by NewsRx correspondents, research stated,“Diagnosis of cancerous and pre-cancerous oral lesions at early stages is critical for the improvementof patient care, to increase survival rates and minimize the invasi veness of tumor resection surgery.Unfortunately, oral precancerous and early-st age cancerous lesions are often difficult to distinguish fromoral benign lesion s with the existing diagnostic tools used during standard clinical oral examinat ion.”

    Reports from Hainan University Describe Recent Advances in Artificial Intelligen ce (A New Image Oversampling Method Based on Influence Functions and Weights)

    71-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsoriginating from Haikou, People’s Repu blic of China, by NewsRx editors, the research stated, “Althoughimbalanced data have been studied for many years, the problem of data imbalance is still a majo r problemin the development of machine learning and artificial intelligence.”

    Studies from Roma Tre University Reveal New Findings on Machine Learning [Machine Learning-based Probabilistic Predictions for Concrete Filled Steel Tube (Cfst) Column Axial Capacity]

    72-72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 Machine Learn ing have been published. According to newsreporting originating from Rome, Ital y, by NewsRx correspondents, research stated, “This study presents anovel proba bilistic machine learning (ML) approach using Natural Gradient Boosting (NGBoost ) to predictthe axial compressive capacity of Concrete Filled Steel Tube (CFST) columns. Leveraging a comprehensivedataset of 1,127 experimentally tested CFST specimens under axial compressive loads, we compare theperformance of various ML algorithms.”

    Hospital San Pedro Reports Findings in Personalized Medicine (Integrating Clinic al Data and Patient-Reported Outcomes for Analyzing Gender Differences and Progr ession in Multiple Sclerosis Using Machine Learning)

    73-73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 - Personalized Medicine is the subject of areport. According to news reporting ou t of Logrono, Spain, by NewsRx editors, research stated, “Multiplesclerosis (MS ) is a complex neurodegenerative disease with a variable prognosis that complica tes effectivemanagement and treatment. This study leverages machine learning (M L) to enhance the understandingof disease progression and uncover gender-based differences in MS by analyzing clinical data integratedwith patient-reported ou tcomes (PROMs).”

    Findings from Johannes Kepler University Provide New Insights into Robotics (Ide ntification of Physically Consistent Dynamics Parameter of the Abb Irb 360-6/160 0 Delta Robot and Its Use for Timeoptimal Motion Planning Under Consideration o f ...)

    74-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Robotics. According to news reporting fromLinz, Austria, by NewsRx journalists, research stated, “Model-based control schemes, forward dynamicssimulations, co nstraint force computation and time-optimal motion planning have one major thing incommon, they all depend on the dynamics parameters of the system. Physical c onsistency of the dynamicsparameters ensures a positive definite mass matrix an d correct constraint forces.”

    Researchers’ Work from Harbin Institute of Technology Focuses on Machine Learnin g (Mechanical Issues In Sulfide-based All-solidstate Batteries: Origin, Monitor ing, and Intelligent Analysis)

    75-75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 Machine Learn ing have been published. According to newsreporting originating in Harbin, Peop le’s Republic of China, by NewsRx journalists, research stated, “Theemergence o f all-solid-state batteries(ASSLBs) for next-generation energy storage devices i s garneringsubstantial attention due to ultrahigh energy density and safety. Ho wever, the coupling of electrochemicaland mechanical issues in ASSLBs during lo ng-term cycling presents significant challenges for potentialapplications.”

    Data on Artificial Intelligence Reported by Wiktor Stopyra and Colleagues (Accur acy of 7 artificial intelligence based intraocular lens power calculation formul as in extremely long Caucasian eyes: Short title: AI-based IOL calculation in .. .)

    76-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting out of Krakow, Poland, by NewsRx editors, research stated, “To compare 7 AI-based IOL powercalculatio n formulas in extremely long eyes DESIGN: : Retrospective accuracy and validity analysis. KyivClinical Ophthalmology Hospital Eye Microsurgery Center, Ukraine POPULATION: : Patients with highlymyopic eyes, who underwent uneventful phacoem ulsification OBSERVATION PROCEDURES: Prior tocataract surgery IOL power was cal culated.”