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    RWTH Aachen University Reports Findings in Laminectomy (MINARO DRS: usability st udy of a robotic-assisted laminectomy)

    175-176页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Surgery - Laminectomy is the subject of a report. According to newsreporting originating from Aachen, Germany, by NewsRx correspondents, research stated, “Although theliterature sh ows that robotic assistance can support the surgeon, robotic systems are not wid ely spreadin clinics. They often incorporate large robotic arms adopted from th e manufacturing industry, imposingsafety hazards when in contact with the patie nt or surgical staff.”

    University of Messina Reports Findings in Machine Learning (Machine learning app roach in canine mammary tumour classification using rapid evaporative ionization mass spectrometry)

    176-177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 newsoriginating from Messina, Italy, by New sRx correspondents, research stated, “Rapid evaporative ionizationmass spectrom etry (REIMS) coupled with a monopolar handpiece used for surgical resection and combinedwith chemometrics has been previously explored by our research group (M angraviti et al. in Int J MolSci 23(18):10562, 2022) to identify several mammar y gland pathologies. Here, the increased sample sizeallowed the construction of three statistical models to distinguish between benign and malignant caninemam mary tumours (CMTs), facilitating a more in-depth investigation of changes in ce llular metabolicphenotype during neoplastic transformation and biological behav iour.”

    New Artificial Intelligence Study Results from College of Medicine Described (As sessing Biological Age the Potential of Ecg Evaluation Using Artificial Intellig ence: Jacc Family Series)

    177-178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 newsoriginating from Rochester, Minn esota, by NewsRx correspondents, research stated, “Biological age maybe a more valuable predictor of morbidity and mortality than a person’s chronological age. Mathematicalmodels have been used for decades to predict biological age, but r ecent developments in artificialintelligence (AI) have led to new capabilities in age estimation.”

    Study Results from Department of Communications & Electronics Upda te Understanding of Machine Learning (Optimizing Iot-driven Smart Grid Stability Prediction With Dipper Throated Optimization Algorithm for Gradient Boosting Hy perparameters)

    178-179页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Investigators publish new report on Machine Learn ing. According to news reporting originatingfrom Mansoura, Egypt, by NewsRx cor respondents, research stated, “With the surge in global populationand economic expansion, there’s been a marked increase in electricity demand. This necessitat es theefficient distribution of electricity to both residential and industrial sectors to minimize energy loss.”

    Investigators from Chongqing University Target Robotics (Multidomain Neural Proc ess Model Based On Source Attention for Industrial Robot Anomaly Detection)

    179-180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 Robotic s. According to news reporting out of Chongqing,People’s Republic of China, by NewsRx editors, research stated, “Industrial robots are vital intelligentequipm ent in modern industries. Periodic maintenance, which is costly and cannot preve nt unexpectedfailures, is necessary to reduce the probability of failure and ex tend their service life.”

    Researchers at Aristotle University of Thessaloniki Report New Data on Machine L earning (Machine Learning-based Price Prediction for Thermal Insulation Material s: a Holistic Approach Integrating Thermophysical, Technical, and Environmental ...)

    180-181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 Machine Learning. According to news reportingfrom Thessaloniki, Greece, by News Rx editors, the research stated, “This study underscores the pressingneed to ac celerate the energy transition in existing housing to meet the EU’s decarbonizat ion targets.It examines the correlation between thermophysical, technical, and environmental properties of thermalinsulation materials and their commercial pr ices in Greece.”

    Data from Huazhong University of Science and Technology Provide New Insights int o Robotics (An Esophagus-inspired Magneticdriven Soft Robot for Directional Tra nsport of Objects)

    181-182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 Robotics is now availab le. According to news reporting originatingfrom Hubei, People’s Republic of Chi na, by NewsRx correspondents, research stated, “Magnetic-controlledsoft robots, owing to their advantages such as non-contact manipulation, flexible control, a nd rapiddeformability, have experienced rapid development and widespread applic ation. However, most of theexisting magnetically driven soft robots are solid o r two-dimensional planar structures, which can onlyachieve shape deformation su ch as bending, twisting, and stretching.”

    New Findings on Machine Learning Described by Investigators at Beihang Universit y (Machine Learning Studies for Magnetic Compositionally Complex Alloys: a Criti cal Review)

    182-183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 reportingoriginating in Beijing, People’s Republi c of China, by NewsRx journalists, research stated, “Soft magneticalloys play a critical role in power conversion, magnetic sensing, magnetic storage and elect ric actuating,which are fundamental components of modern technological innovati on. Therefore, the rational design ofsoft magnetic alloys holds substantial sci entific and commercial value.”

    Studies from South China Normal University Provide New Data on Machine Learning (Prediction of Phase and Tensile Properties of Selective Laser Melting Manufactu red High Entropy Alloys By Machine Learning)

    183-184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 in Guangzhou, People’s R epublic of China, by NewsRx journalists, research stated, “Selectivelaser melti ng (SLM) for high entropy alloys (HEAs) holds significant promise in commercial applications,and substantial experimental research efforts have been directed t oward this domain. To take advantageof the reported experimental data of SLM ma nufactured (SLM-ed) HEAs and reduce unnecessary experimentation,this study inco rporates machine learning (ML) techniques for the phase and tensile propertiesp rediction of SLMed HEAs, thus presenting a novel avenue for accelerating the dis covery of new SLM-edHEAs.”

    Investigators from South China University of Technology Zero in on Machine Learn ing (Machine Learning-based Prediction of Cocrfenimo0.2 High-entropy Alloy Weld Bead Dimensions In Wire Arc Additive Manufacturing)

    184-185页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating from Guan gzhou, People’s Republic of China, by NewsRx correspondents,research stated, “W ire arc additive manufacturing (WAAM) is a promising method to fabricate large-sized components. By adjusting WAAM process parameters, dimensions of WAAM-produc ed weld beadscan be optimized.”