查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news reporting out of Shandong University by NewsRx edi tors, research stated, “Track reconstruction is one of the most important and ch allenging tasks in the offline data processing of collider experiments.” The news journalists obtained a quote from the research from Shandong University : “For the BESIII detector working in the tau-charm energy region, plenty of eff orts were made previously to improve the tracking performance with traditional m ethods, such as template matching and Hough transform etc. However, for difficul t tracking tasks, such as the tracking of low momentum tracks, tracks from secon dary vertices and tracks with high noise level, there is still large room for im provement. In this contribution, we demonstrate a novel tracking algorithm based on machine learning method. In this method, a hit pattern map representing the connectivity between drift cells is established using an enormous MC sample, bas ed on which we design an optimal method of graph construction, then an edgeclass ifying Graph Neural Network is trained to distinguish the hit-on-track from nois e hits. Finally, a clustering method based on DBSCAN and RANSAC is developed to cluster hits from multiple tracks. Track fitting algorithm based on GENFIT2 is a lso studied to obtain the track parameters, where deterministic annealing filter are implemented to deal with ambiguities and potential noises.”
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 Brighton, United Kingd om, by NewsRx correspondents, research stated, “As urbanization accelerates, the issue of traffic noise escalates. Efficiently harnessing this prevalent acousti c energy and facilitating its collection and conversion has emerged as a notable challenge in contemporary research.” Our news journalists obtained a quote from the research from the University of S ussex, “This paper introduces a piezoelectric self -powered system anchored on a Conical -Neck Helmholtz Resonator -Based Piezoelectric Self -Powered System (CN HR-PSS) which places the piezoelectric device inside a Conical -Neck Helmholtz r esonator. This system amalgamates acoustic energy harvesting, traffic noise abat ement, and traffic condition discernment. It combines by two parts, including a Piezoelectric Self -Powered Node (PSN) and a machine learning algorithm. The PSN , employing the Conical Neck Helmholtz Resonator and piezoelectric module, seize s noise and transmutes it into electrical energy, showcasing robust scalability. Multiple PSNs coalesce to form a sound barrier for traffic noise mitigation. Co ncurrently, the voltage signals emanated by the PSN also encapsulate traffic sta tus information. The algorithm extracts feature from the output signal and emplo ys machine learning to decipher traffic conditions.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news originating from Xiamen, People’s Repu blic of China, by NewsRx correspondents, research stated, “Network covert channe ls use network resources to transmit data covertly, and their existence will ser iously threaten network security. Therefore, an effective method is needed to pr event and detect them.” Financial support for this research came from The Subsidized Project for Postgra duates Innovative Fund in Scientifific Research of Huaqiao University.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news originating from Deraya University by NewsRx correspondents, research stated, “This study investigates the application of ca vitation in non-invasive abdominal fat reduction and body contouring, a topic of considerable interest in the medical and aesthetic fields. We explore the poten tial of cavitation to alter abdominal fat composition and delve into the optimiz ation of fat prediction models using advanced hyperparameter optimization techni ques, Hyperopt and Optuna.” Financial supporters for this research include Deraya University.
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 out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “With the increasing uncertai nty caused by the complexity of the world’s energy environment and the increasin g penetration rate of renewable energy, it is significant to estimate the future operation of power markets in advance. Forecasting individual bids in spot elec tricity markets is a promising new method for achieving so, but it has not been fully studied due to the difficulty of forecasting a bid function.” Financial support for this research came from National Natural Science Foundatio n 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 robotics is the subjec t of a new report. According to news reporting out of Nanjing, People’s Republic of China, by NewsRx editors, research stated, “This paper introduces a soft, ca ble-driven parallel robot for minimally invasive surgeries. The robot comprises a pneumatic inflatable scaffold, six hydraulic, folded pouch actuators, and a ho llow, cylindrical end-effector offering five degrees of freedom.” Financial supporters for this research include National Natural Science Foundati on of China; Fundamental Research Funds For The Central Universities.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – A new study on robotics is now available. Accordi ng to news originating from Hefei, People’s Republic of China, by NewsRx editors , the research stated, “Multi-robot Simultaneous Localization and Mapping (SLAM) systems employing 2D lidar scans are effective for exploration and navigation w ithin GNSS-limited environments.” Financial supporters for this research include National Natural Science Foundati on of China; Key Program of Natural Science Foundation of Anhui Higher Education Institutions of China.
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 - Intelligent Systems have been published. According to news originating fro m Beijing, People’s Republic of China, by NewsRx correspondents, research stated , “With the development of deep learning, a higher level of perception of the en vironment such as the semantic level can be achieved in the simultaneous localiz ation and mapping (SLAM) domain. However, previous works did not achieve a natur al-language level of perception.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting out of the Barcelona Supercomputin g Center by NewsRx editors, research stated, “After large-magnitude earthquakes, a crucial task for impact assessment is to rapidly and accurately estimate the ground shaking in the affected region.” Our news editors obtained a quote from the research from Barcelona Supercomputin g Center: “To satisfy real-time constraints, intensity measures are traditionall y evaluated with empirical Ground Motion Models that can drastically limit the a ccuracy of the estimated values. As an alternative, here we present Machine Lear ning strategies trained on physics-based simulations that require similar evalua tion times. We trained and validated the proposed Machine Learning-based Estimat or for ground shaking maps with one of the largest existing datasets (<100M simulated seismograms) from CyberShake developed by the Southern California Earthquake Center covering the Los Angeles basin. For a well-tailored synthetic database, our predictions outperform empirical Ground Motion Models provided th at the events considered are compatible with the training data.” According to the news editors, the research concluded: “Using the proposed strat egy we show significant error reductions not only for synthetic, but also for fi ve real historical earthquakes, relative to empirical Ground Motion Models.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting out of Shanghai, Peopl e’s Republic of China, by NewsRx editors, research stated, “Artificial intellige nce (AI) telephone is reliable for the follow-up and management of hypertensives . It takes less time and is equivalent to manual follow-up to a high degree.” Our news journalists obtained a quote from the research from Shanghai Municipal Center for Disease Control and Prevention, “We conducted a reliability study to evaluate the efficiency of AI telephone followup in the management of hypertens ion. During May 18 and June 30, 2020, 350 hypertensives managed by the Pengpu Co mmunity Health Service Center in Shanghai were recruited for follow-up, once by AI and once by a human. The second follow-up was conducted within 3-7 days (mean 5.5 days). The mean length time of two calls were compared by paired t-test, an d Cohen’s Kappa coefficient was used to evaluate the reliability of the results between the two follow-up visits. The mean length time of AI calls was shorter ( 4.15 min) than that of manual calls (5.24 min, P<.001). Th e answers related to the symptoms showed moderate to substantial consistency (k: .465-.624, P<.001), and those related to the complications showed fair consistency (k:.349, P<.001). In terms of lif estyle, the answer related to smoking showed a very high consistency (k:.915, P<.001), while those addressing salt consumption, alcohol consumption, and exerci se showed moderate to substantial consistency (k:.402-.645, P<.001).”
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