查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented in a new report. According to news originating from Berlin, Germany, by NewsRx correspondents, research stated, “Autonomous smart waste management services are becoming an essential component of sustainable urbanization.” Funders for this research include Berlin Program For Sustainable Development-bene; European Regional Development Fund; German Research Foundation And The Open Access Publication Fund of Tu Berlin. Our news correspondents obtained a quote from the research from Technical University Berlin (TU Berlin): “However, the lack of data and insights from current service-providers impedes a reliable transition from labor-intensive to autonomous services. Deploying information gathering devices makes services expensive and resource-demanding. In project MARBLE (Mobile Autonomous RoBot for Litter Emptying) we are currently investigating the implementation of a fleet of service robots. In this framework, we could show that the absence of filling data of litter bins (LBs) hinders the possibility of providing an energy-efficient and time-effective service. Hence, we introduce an approach where machine learning-based predictions for filling levels of LBs, derived from our extensive data gathering, are used to effectively manage the autonomous emptying process. The novel Simulated Rebalancing approach in route-planning combined with the Knapsack algorithm ensures efficient service in comparison to the Nearest Neighbor algorithm.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news re- porting originating in Louvain-la-Neuve, Belgium, by NewsRx journalists, research stated, “Reactor-based approaches for handling the Turbulence-Chemistry-Interactions closure have the advantage of embedding finite-rate chemistry in the combustion model of RANS and LES simulations, which might be crucial for the solution accuracy when complex combustion regimes are investigated. However, the numerical solution of the chemical ODEs is burdened with stiffness and increased dimensionality, especially when large detailed mechanisms are required.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intelligence are discussed in a new report. According to news originating from Rzeszow, Poland, by NewsRx correspondents, research stated, “The consequences of climate change include extreme weather events, such as heavy rainfall. As a result, many places around the world are experiencing an increase in flood risk.” The news reporters obtained a quote from the research from Rzeszow University of Technology: “The aim of this research was to assess the usefulness of selected machine learning models, including artificial neural networks (ANNs) and eXtreme Gradient Boosting (XGBoost) v2.0.3., for predicting peak stormwater levels in a small stream. The innovation of the research results from the combination of the specificity of small watersheds with machine learning techniques and the use of SHapley Additive exPlanations (SHAP) analysis, which enabled the identification of key factors, such as rainfall depth and meteorological data, significantly affect the accuracy of forecasts. The analysis showed the superiority of ANN models (R2 = 0.803-0.980, RMSE = 1.547-4.596) over XGBoost v2.0.3. (R2 = 0.796-0.951, RMSE = 2.304-4.872) in terms of forecasting effectiveness for the analyzed small stream. In addition, conducting the SHAP analysis allowed for the identification of the most crucial factors influencing forecast accuracy. The key parameters affecting the predictions included rainfall depth, stormwater level, and meteorological data such as air temperature and dew point temperature for the last day. Although the study focused on a specific stream, the methodology can be adapted for other watersheds.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Machine Learning - Support Vector Machines. According to news reporting originating in Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “Support vector machine (SVM) has been applied in data classification and defect recog- nition in various scenes, the common kernels are not always suitable to satisfy the requirement of high accuracy and efficiency inspection. A new hybrid conditional kernel (HCK) and SVM model based on ex- ponential functions is proposed in this article, the validity and feasibility of the basic characterizations are introduced theoretically first, and the numerical classification results for different datasets are calculated and compared with related algorithms.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting out of Austin, Texas, by NewsRx editors, research stated, “Depleted gas reservoirs are attractive sites for Carbon Capture and Storage (CCS) due to their huge storage capacities, proven seal integrity, existing infrastructure and subsurface data availability. However, CO2 injection into depleted formations can potentially lead to hydrate formation near the wellbore due to Joule-Thomson cooling, which might cause injectivity issues.” Financial supporters for this research include Center for Subsurface Energy and the Environment at The University of Texas at Austin, ITOCHU Oil Exploration Co., Ltd..
查看更多>>摘要：2024 FEB 02 (NewsRx) – 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 originating from Nanchang, People’s Republic of China, by NewsRx correspondents, research stated, “Recurrent neural networks (RNNs) are excellent solvers for time-variant linear matrix-vector inequality (TVLMVI). However, it is difficult for traditional RNNs to track the theoretical solution of TVLMVI under non-ideal conditions [e.g., noisy environment].” Financial support for this research came from National Natural Science Foundation of China (NSFC).
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting from Muizenberg, South Africa, by NewsRx journalists, research stated, “The urgent need for effective wildlife monitoring solutions in the face of global biodiversity loss has resulted in the emergence of conservation technologies such as passive acoustic monitoring (PAM). While PAM has been extensively used for marine mammals, birds, and bats, its application to primates is limited.” Funders for this research include Graduate Center, International Development Research Centre, Global Affairs Canada.
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news originating from Wuhan, People’s Republic of China, by NewsRx correspondents, research stated, “The diagnosis and stratification of gastric atrophy (GA) predict patients’ gastric cancer progression risk and determine endoscopy surveillance interval. We aimed to construct an artificial intelligence (AI) system for GA endoscopic identification and risk stratification based on the Kimura-Takemoto classification.”
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Surgical Procedures - Fine Needle Aspiration is now available. Accord- ing to news reporting out of San Francisco, California, by NewsRx editors, research stated, “Robot-assisted navigation bronchoscopy (RANB) has been gaining traction as a new technology for minimally invasive biopsies of peripheral pulmonary lesions (PPLs). Cryobiopsy is an established method of procuring satis- factory lung tissues and can be safely paired with RANB.” Financial support for this research came from El Camino Foundation.
查看更多>>摘要：2024 FEB 02 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Fresh data on robotics are presented in a new report. According to news reporting from Dalian, People’s Republic of China, by NewsRx journalists, research stated, “In an automatic ultrasonic testing system constituted by an ultrasonic probe and a six-axis manipulator, the manipulator needs to run from a static state to the target velocity.” Funders for this research include National Natural Science Foundation of China. Our news editors obtained a quote from the research from Dalian Jiaotong University: “To prevent equipment damage caused by sudden acceleration or deceleration, it is necessary to plan the position and pose of the end effector of the manipulator at each detected point. In this manuscript, an algorithm for planning the position and pose of the manipulator is proposed based on the information geometry structure of special orthogonal groups. As the linear operation of the orthogonal matrix corresponding to the manipulator pose is not closed, the manipulator pose at each detected point was calculated using the straightness of the Lie algebra of the special orthogonal group.”
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