查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cerebrovascular Diseases and Conditions - Stroke is the subject ofa report. According to news originating from Brussels, Belgium, by NewsRx correspondents, researchstated, “Post-stroke clinical changes not only affect extremities and trunk muscles but also the respiratorymuscles. To determine the effect of robot-assisted arm training with conventional rehabilitation (CombT)on respiratory muscle strength, activities of daily living (ADL), and quality of life in patients with strokeand to compare the results with conventional rehabilitation (CR).”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligence is the subject of a new report. According to newsoriginating from Rome, Italy, by NewsRx editors, the research stated, “In the additive manufacturing laserpowder bed fusion (L-PBF) process, the optimization of the print process parameters and the developmentof conduction zones in the laser power (P) and scanning speed (V) parameter spaces are critical to meetingproduction quality, productivity, and volume goals.”
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 out ofNashville, Tennessee, by NewsRx editors, research stated, “Machine learning (ML) has been increasinglyused to quantify CEST effect. ML models are typically trained using either measured data or fully simulateddata.”Financial support for this research came from National Institutes of Health (NIH) - USA.Our news journalists obtained a quote from the research from Vanderbilt University Medical Center,“However, training with measured data often lacks sufficient training data, whereas training with fullysimulated data may introduce bias because of limited simulations pools. This study introduces a newplatform that combines simulated and measured components to generate partially synthetic CEST data,and to evaluate its feasibility for training ML models to predict amide proton transfer (APT) effect.Partially synthetic CEST signals were created using an inverse summation of APT effects from simulationsand the other components from measurements. Training data were generated by varying APT simulationparameters and applying scaling factors to adjust the measured components, achieving a balance betweensimulation flexibility and fidelity. First, tissue-mimicking CEST signals along with ground truth informationwere created using multiple-pool model simulations to validate this method. Second, an ML model wastrained individually on partially synthetic data, in vivo data, and fully simulated data, to predict APT effectin rat brains bearing 9 L tumors. Experiments on tissue-mimicking data suggest that the ML method usingthe partially synthetic data is accurate in predicting APT. In vivo experiments suggest that our methodprovides more accurate and robust prediction than the training using in vivo data and fully synthetic data.”
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 - Intelligent Systems is the subject of a report.According to news reporting originating from Baoding, People’s Republic of China, by NewsRx correspondents,research stated, “Hand gesture segmentation is an essential step to recognize hand gestures forhuman-robot interaction. However, complex backgrounds and the variety of gesture shapes cause lowsemantic segmentation accuracy in the existing lightweight methods because of imprecise features andimbalance between branches.”
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 artificial intelligence. According to news originatingfrom Federal University of Santa Maria (UFSM) by NewsRx editors, the research stated, “The RemoteSensing and machine learning techniques are cost-effective ways of mapping land use and cover, especiallyforestry areas.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in artificial intelligence. According to news originating from SanFrancisco, California, by NewsRx correspondents, research stated, “Elevated intracranial pressure (ICP) isa potentially devastating complication of neurologic injury. Developing an ICP prediction algorithm to helpthe clinician adjust treatments and potentially prevent elevated ICP episodes.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Fresh data on Machine Learning are presented in a new report. According to news reportingoriginating in Eugene, Oregon, by NewsRx journalists, research stated, “We investigate (1) how well amachine learning algorithm can predict one-year ahead effective tax rates (ETRs) and (2) which itemsin the financial statements and notes are most useful for these predictions. We compare our machinegeneratedETR predictions with those from ETRs implied by analysts’ earnings forecasts and find thealgorithm’s predictions are less biased, more precise, and explain more of the variance in future ETRs.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Biotechnology - Bioinformatics is the subject of a report. Accord-ing to news reporting out of Wuhan, People’s Republic of China, by NewsRx editors, research stated,“Despite advancements in hepatocellular carcinoma (HCC) treatments, the prognosis for patients remainssuboptimal. Cumulative evidence suggests that programmed cell death (PCD) exerts crucial functions inHCC.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Artificial Intelligence have been presented. According to news reportingoriginating from Delhi, India, by NewsRx correspondents, research stated, “The convergence of ArtificialIntelligence (AI) and Blockchain technologies has emerged as a powerful paradigm to address the challengesof data management, security, and privacy in the Edge of Things (EoTs) environment. This bibliometricanalysis aims to explore the research landscape and trends surrounding the topic of convergence of AI andBlockchain for EoTs to gain insights into its development and potential implications.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intelligence have been published. According to newsoriginating from San Juan del Rio, Mexico, by NewsRx editors, the research stated, “Stress is a factor thataffects many people today and is responsible for many of the causes of poor quality of life. For this reason,it is necessary to be able to determine whether a person is stressed or not.”The news correspondents obtained a quote from the research from Autonomous University of Queretaro:“Therefore, it is necessary to develop tools that are non-invasive, innocuous, and easy to use. This paperdescribes a methodology for classifying stress in humans by automatically detecting facial regions of interestin thermal images using machine learning during a short Trier Social Stress Test. Five regions of interest,namely the nose, right cheek, left cheek, forehead, and chin, are automatically detected. The temperatureof each of these regions is then extracted and used as input to a classifier, specifically a Support VectorMachine, which outputs three states: baseline, stressed, and relaxed. The proposal was developed andtested on thermal images of 25 participants who were subjected to a stress-inducing protocol followed byrelaxation techniques. After testing the developed methodology, an accuracy of 95.4% and an error rateof 4.5% were obtained.”
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