查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting out of Shenzhen, Peop le’s Republic of China, by NewsRx editors, research stated, “The longevity and e fficacy of lithium-ion batteries diminish over time, making accurate estimation of their health state essential. Traditional methods, based on long-term charge and discharge data, are limited in speed and data richness.” Financial supporters for this research include Research on SOC/SOH Joint Estimat ion Technology of Electric Vehicle Battery System State Based on Online Paramete r Identification Project (2019), National Natural Science Foundation of China (N SFC).
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 - Robotics a nd Automation have been presented. According to news reporting out of Delft, Net herlands, by NewsRx editors, research stated, “Motion planning for autonomous ro bots in dynamic environments poses numerous challenges due to uncertainties in t he robot’s dynamics and interaction with other agents. Sampling-based MPC approa ches, such as Model Predictive Path Integral (MPPI) control, have shown promise in addressing these complex motion planning problems.” Financial support for this research came from Project Sustainable Transportation and Logistics over Water: Electrification, Automation and Optimization.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on artificial intelligence is now ava ilable. According to news reporting out of Rahim Yar Khan, Pakistan, by NewsRx e ditors, research stated, “Cryptocurrencies, functioning as digital currencies, u ndergo regular fluctuations in the present market, reflecting the emotional aspe ct of the cryptocurrency realm.” The news reporters obtained a quote from the research from Khwaja Fareed Univers ity of Engineering & Information Technology: “It is a well-establi shed fact that sentiment is linked to Bitcoin and Ethereum values, employing a T witter-based strategy to predict changes. While prospective Bitcoin returns do n ot display a correlation with emotional variables, indicators of emotions tend t o anticipate Bitcoin exchange volume and return volatility. Emotions wield an in fluence over a broad spectrum of financial investor returns, thereby,potentially affecting market dynamics by triggering significant price shifts. The research delves into gauging emotional factors extracted from 2,050,202 posts on Bitcoint alk.org, investigating how these emotions impact Bitcoin’s price fluctuations. W e have used a unified dataset named ‘dataF’ in which all categories of emotions are consolidated. Subsequently, data preprocessing steps are implemented to clea nse the dataset.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on applied mathematics and nonl inear sciences have been published. According to news reporting from Sanya, Peop le’s Republic of China, by NewsRx journalists, research stated, “With the contin uous development of modern information technology, the combination of intelligen t audio processing technology and vocal music teaching has gradually become a re search hot spot.” The news editors obtained a quote from the research from Sanya University: “In t his paper, we first build a vocal music teaching system based on music emotion a nd instrument recognition, optimize the support vector machine using the PSO alg orithm, construct the music emotion recognition and instrument recognition metho d based on SVM, and control and optimize the vocal music teaching system through multi-objective proportional integral differentiation algorithm. Through the co mparison experiments of different models of music emotion recognition and musica l instrument recognition, the performance of music emotion recognition and music al instrument recognition of this paper’s model is explored. Then, the applicati on effect analysis of the vocal music teaching system is carried out. The result s show that the SVM model optimized by PSO has a more satisfactory effect on mus ic emotion recognition, with a recognition accuracy 16.67% higher than the comparison model and an average adaptability of 70%-90% . In addition, this model has a higher instrument recognition rate of 18.17% and 7.45% compared to the other two models.”
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 ro botics. According to news reporting out of Pittsburgh, Pennsylvania, by NewsRx e ditors, research stated, “When robots have multiple tasks to perform, they must determine the order in which to complete them.” The news reporters obtained a quote from the research from Carnegie Mellon Unive rsity: “Interleaving tasks is efficient for the robot trying to finish its to-do list, but it may be less satisfying for a human whose request was delayed in fa vor of schedule efficiency. Following online research that examined delays with various motivations [4, 27], we created tw o in-person studies in which participants’ tasks were impacted by the robot’s ot her tasks. In the first, participants either requested a task for the robot to c omplete on their behalf or watched the robot performing tasks for other people. We measured how their opinions changed depending on whether their task’s complet ion was delayed due to another participant’s task or they were observing without a task of their own. In the second, participants had a robot walk them to an of fice and became delayed as the robot detoured to another location. We measured h ow opinions of the robot changed depending on who requested the detour task and the length of the detour.”
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 ar tificial intelligence. According to news reporting from Irvine, United States, b y NewsRx journalists, research stated, “Baker et al.” Our news reporters obtained a quote from the research from University of Califor nia: “(2021) recently proposed using a philosophical framework to classify learn ing analytics research in terms of four paradigms. Here I build on their theme o f reflecting on philosophical differences in different approaches to learning an alytics. I first present two limitations of their classification, which raise qu estions for how to best classify different approaches in learning analytics. In an attempt to resolve these questions, I draw upon the bias-variance tradeoff fr om machine learning and show how different learning analytics approaches can be viewed in terms of their positions on the tradeoff. However, I claim that this i s not enough, as we must also be attuned to the underlying epistemologies behind different approaches. I claim a constructivist epistemology for learning analyt ics has been missing, which could, in part, explain Baker et al.’s (2021) observ ation that constructivist work has been relatively absent in established learnin g analytics research communities.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on Machine Learning is now available. According to news reporting originating in Lanzhou, People’s Republic of China, by NewsRx journalists, research stated, “MgAlSi alloy materials have the main p roperties of light weight and high strength, good electrical and thermal conduct ivity and corrosion resistance, and have various applications in the industrial field, making an important contribution to the realization of lightweight and hi gh performance needs.” Funders for this research include National Natural Science Foundation of China ( NSFC), China Postdoctoral Science Foundation, Funds for Distinguished Young Scie ntists of Lanzhou University of Technology, China.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Pregnancy Complications - Preecla mpsia is the subject of a report. According to news reporting out of Melbourne, Australia, by NewsRx editors, research stated, “Machine learning (ML) approaches are an emerging alternative for healthcare risk prediction. We aimed to synthes ise the literature on ML and classical regression studies exploring potential pr ognostic factors and to compare prediction performance for pre-eclampsia.” Financial support for this research came from Monash University. Our news journalists obtained a quote from the research from Monash University, “From 9382 studies retrieved, 82 were included. Sixty-six publications exclusive ly reported eighty-four classical regression models to predict variable timing o f onset of pre-eclampsia. Another six publications reported purely ML algorithms , whilst another 10 publications reported ML algorithms and classical regression models in the same sample with 8 of 10 findings that ML algorithms outperformed classical regression models. The most frequent prognostic factors were age, pre -pregnancy body mass index, chronic medical conditions, parity, prior history of pre-eclampsia, mean arterial pressure, uterine artery pulsatility index, placen tal growth factor, and pregnancy-associated plasma protein A. Top performing ML algorithms were random forest (area under the curve (AUC) = 0.94, 95% confidence interval (CI) 0.91-0.96) and extreme gradient boosting (AUC = 0.92, 9 5% CI 0.90-0.94). The competing risk model had similar performance (AUC = 0.92, 95% CI 0.91-0.92) compared with a neural network. Ca libration performance was not reported in the majority of publications. ML algor ithms had better performance compared to classical regression models in pre-ecla mpsia prediction. Random forest and boosting-type algorithms had the best predic tion performance. Further research should focus on comparing ML algorithms to cl assical regression models using the same samples and evaluation metrics to gain insight into their performance.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting out of Sydney, Australia, by NewsRx e ditors, research stated, “There is a high prevalence of upper limb musculoskelet al pain among robotic surgeons. Poor upper limb ergonomic positioning during rob otic surgery occurs when the shoulders are abducted, and the elbows are lifted o ff the console armrest.” Financial support for this research came from University of New South Wales. Our news journalists obtained a quote from the research from the University of N ew South Wales, “The validated rapid upper limb assessment can quantify ergonomi c efficacy. Surface electromyography and hand dynamometer assessment of strength are the most common methods to assess muscle fatigue. A literature review was p erformed to find evidence of ergonomic interventions which reduce upper limb mus culoskeletal pain during robotic surgery. There is a paucity of studies which ha ve reported on this topic. In other occupations, there is strong evidence for th e use of resistance training to prevent upper extremity pain. Use of forearm com pression sleeves, stretching, and massage may help reduce forearm fatigue. Micro breaks with targeted stretching, active ergonomic training, improved use of armr est, and optimal hand controller design have been shown to reduce upper limb mus culoskeletal pain.”
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 from San Diego, Calif ornia, by NewsRx journalists, research stated, “The movement of organic anionic drugs across cell membranes is partly governed by interactions with SLC and ABC transporters in the intestine, liver, kidney, blood-brain barrier, placenta, bre ast, and other tissues. Major transporters involved include organic anion transp orters (OATs, SLC22 family), organic anion transporting polypeptides (OATPs, SLC O family), and multidrug resistance proteins (MRPs, ABCC family).” Financial supporters for this research include National Institute of Health.
NETL
NSTL