查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now availab le. According to news reporting from Singapore, Singapore, by NewsRx journalists , research stated, “To satisfy the actual needs of different tasks, hybrid -driv en continuum robots need to effectively cope with rapid internal dynamic changes , relatively fast motion speeds, and enhanced flexibility in motions. This fact forces us to seek solutions from the perspective of the dynamics of continuum ro bots.” Financial support for this research came from Science and Engineering Research C ouncil, Agency of Science, Technology and Research, Singapore, through the Natio nal Robotics Program.
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 from Shanghai, People’s Rep ublic of China, by NewsRx journalists, research stated, “Piezoelectric catalytic process can reduce energy consumption in water treatment processes. However, th e design of high-performance piezoelectric materials and the search for operatin g parameters are still challenging tasks.” Financial supporters for this research include National Key Research and Develop ment Program of China, Shanghai Municipal Science and Technology Major Project.
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 originating from Zhengzhou, People’s Re public of China, by NewsRx correspondents, research stated, “One of the importan t non-engineering measures for flood forecasting and disaster reduction in water sheds is the application of machine learning flood prediction models, with Long Short-Term Memory (LSTM) being one of the most representative time series predic tion models. However, the LSTM model has issues of underestimating peak flows an d poor robustness in flood forecasting applications.”
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 reporting out of Exeter, United Kingdo m, by NewsRx editors, research stated, “ABSTRACT: Both minimum night flow (MNF) and pipe failures are common ways of understanding leakage within water distribu tion networks (WDNs).” Funders for this research include South West Water. The news reporters obtained a quote from the research from University of Exeter: “This article takes a data-driven approach and applies linear models, random fo rests, and neural networks to MNF and pipe failure prediction. First, models are trained to estimate the historic average MNF for over 800 real-world DMAs from the UK. Features for this problem are constructed from pipe records which detail the length, diameter, volume, age, material, and number of customer connections of each pipe. The results show that 65% of the variation in histo ric average MNF can be explained using these factors alone. Second, a novel meth od is proposed to deconstruct the models’ predictions into a leakage contributio n score (LCS), estimating how each individual pipe in a DMA has contributed to t he MNF. In order to validate this novel approach, the LCS values are used to cla ssify pipes based on historic pipe failure and are compared against models direc tly trained for this.”
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 Su pport Vector Machines. According to news reporting originating from Setif, Alger ia, by NewsRx correspondents, research stated, “This study investigates the use of orange peels as a precursor for synthesizing sodium alginate -encapsulated be ads for methylene blue (MB) removal. The prepared beads (BOP1 and BOP2) underwen t characterization through FTIR, XRF, SEM and TGA.” Financial supporters for this research include MESRS, DGRSDT. Our news editors obtained a quote from the research from the University of Ferha t Abbas, “Subsequently, the impacts of various factors, including temperature, t he initial pH, initial concentration, salt and humic acid, are studied. The adso rption isotherms show high adsorbed quantities of 764.92 and 659.78 mg/g for BOP 1 and BOP2 respectively, while the obtained data are best described by the monol ayer with two energies (MMTE) model, which is then used to perform a thermodynam ic study of the MB adsorption mechanism. Additionally, the adsorption kinetics d ata are modeled using three models, with the PFO model identified as the most ap propriate. The regenerated beads demonstrate the ability to be reused up to 7 cy cles, The effects of NaCl and humic acid on MB adsorption reveal that NaCl inhib its adsorption due to competition with Na +, while humic acid has no effect. Fin ally, a support vector machine (SVM) model optimized by the Levy Flight Distribu tion Optimization (LFD) algorithm is developed and found to be capable of accura tely predicting the adsorption behavior of the prepared beads. This model is the n used in optimizing the process conditions for maximal MB removal.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting originating from Sura karta, Indonesia, by NewsRx correspondents, research stated, “Artificial intelli gence changes how tourist destinations operate, provides better service to visit ors, and provides long-term benefits for local communities and the environment.” The news correspondents obtained a quote from the research from Universitas Sebe las Maret: “However, it is essential to question whether governments can effecti vely resolve data privacy and cybersecurity challenges when deploying these tech nologies. This study aims to analyze issues related to the role of artificial in telligence policy in promoting Indonesia’s digital tourism. This research employ s a normative legal approach, drawing from both statutory and historical sources . This research concludes that Indonesia promotes artificial intelligence in tou rism by investing in AI technology research and development, collaborating betwe en the government and the private sector to implement AI solutions, and establis hing a supportive regulatory framework to ensure the ethical use of AI in touris m.”
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 Shenzhen, People’s Republic of China, by NewsRx journalists, research stated, “Modular continuum robots possess signi ficant versatility across various scenarios; however, conventional assembling me thods typically rely on linear connection between modules. This limitation can i mpede the robotic interaction capabilities, especially in specific engineering a pplications.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Shenzhen Science and Technology Program, National Natural Sc ience Foundation of China (NSFC).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Technology - Medical T echnology is the subject of a report. According to news reporting out of Paris, France, by NewsRx editors, research stated, “Technological advances in robotics, artificial intelligence, cognitive algorithms, and internet-based coaches have contributed to the development of devices capable of responding to some of the c hallenges resulting from demographic aging. Numerous studies have explored the u se of robotic coaching solutions (RCSs) for supporting healthy behaviors in olde r adults and have shown their benefits regarding the quality of life and functio nal independence of older adults at home.”
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 Southampton, United Kingdom, by NewsRx correspondents, research stated, “This study leverage s pre-procedural data and machine learning (ML) techniques to predict outcomes a t one year following prostate artery embolization (PAE). This retrospective anal ysis combines data from the UK-ROPE registry and patients that underwent PAE at our institution between 2012 and 2023.” Financial support for this research came from British Society of Interventional radiology.
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 Robotics have been published. According to news reporting originating from Wessling, Germany, by NewsRx correspondents, research stated, “The requirement for a high number o f training episodes has been a major limiting factor for the application of Rein forcement Learning (RL) in robotics. Learning skills directly on real robots req uires time, causes wear and tear and can lead to damage to the robot and environ ment due to unsafe exploratory actions.” Funders for this research include German Research Foundation (DFG), German Resea rch Foundation (DFG), Horizon Europe Research Infrastructures.
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