查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Medullary C ancer is the subject of a report. According to news reporting from Beijing, Peop le’s Republic of China, by NewsRx journalists, research stated, “For medullary t hyroid carcinoma (MTC) with no positive findings in the lateral neck before surg ery, whether prophylactic lateral neck dissection (LND) is needed remains contro versial. A better way to predict occult metastasis in the lateral neck is needed .” Funders for this research include Sanming Project of Medicine in Shenzen Municip ality, National Natural Science Foundation of China.
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 from Tokyo, Japan, by NewsRx journalists, re search stated, “In this study, we proposed a model for modular robots in which a utonomous decentralized modules adaptively organize their behavior.” Funders for this research include Ssup Program of The Sony Semiconductor Solutio ns Corporation; Jsps Kakenhi. Our news correspondents obtained a quote from the research from Tokyo Institute of Technology: “The phototaxis of * * Gonium pectorale* * , a species of volvoci ne algae, was modeled as a modular system, and a fault-tolerant modular control method of phototaxis was proposed for it. The proposed method was based on the r otation phase of the colony and adaptively adjusted an internal response-related parameter to enhance the fault tolerance of the system. Compared to a constant parameter approach, the simulation results demonstrated a significant improvemen t in the phototaxis time for positive and negative phototaxis during module fail ures.”
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 Harvard University by NewsR x correspondents, research stated, “An important element of the S-matrix bootstr ap program is the relationship between the modulus of an S-matrix element and it s phase.”The news correspondents obtained a quote from the research from Harvard Universi ty: “Unitarity relates them by an integral equation. Even in the simplest case o f elastic scattering, this integral equation cannot be solved analytically and n umerical approaches are required. We apply modern machine learning techniques to studying the unitarity constraint. We find that for a given modulus, when a pha se exists it can generally be reconstructed to good accuracy with machine learni ng. Moreover, the loss of the reconstruction algorithm provides a good proxy for whether a given modulus can be consistent with unitarity at all. In addition, w e study the question of whether multiple phases can be consistent with a single modulus, finding novel phase-ambiguous solutions.”
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 have been pr esented. According to news reporting originating from Shandong, People’s Republi c of China, by NewsRx correspondents, research stated, “For robot manipulators c omposed of Lagrange subsystems driven by direct current (DC) motors under stocha stic environments, multi -stage trajectory tracking is investigated in this pape r. The main challenge is how to achieve the end -effector drive of manipulators from a given initial state to a final state.” 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 – Data detailed on Machine Learning have been presented. According to news reporting out of Chongqing, People’s Republic of China, by NewsRx editors, research stated, “In the upcoming beyond fifth-gen eration (B5G), the surging demand on high network capacity and numerous access d evices can hardly be satisfied by the scarce spectrum resources. Capable of shar ing the same spectrum resource among multiple users, non-orthogonal multiple acc ess (NOMA) provides an efficient method to enhance the spectrum efficiency, serv ing as a strong candidate for next generation multiple access (NGMA).” 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 – Investigators discuss new findings in artificial intelligence. According to news reporting originating from Ames, Iowa , by NewsRx correspondents, research stated, “A combination tillage with disks, rippers, and roller baskets allows the loosening of compacted soils and the crum bling of soil clods.” Our news correspondents obtained a quote from the research from Iowa State Unive rsity: “Statistical methods for evaluating the soil tilth quality of combination tillage are limited. Light Detection and Ranging (LiDAR) data and machine learn ing models (Random Forest (RF), Support Vector Machine (SVM), and Neural Network (NN)) are proposed to investigate roller basket pressure settings on soil tilth quality. Soil profiles were measured using LiDAR (stop and go and on-the-go) an d RGB visual images from a Completely Randomized Design (CRD) tillage experiment on clay loam soil with treatments of roller basket down, roller basket up, and no-till in three replicates. Utilizing RF, SVM, and NN methods on the LiDAR data set identified median, mean, maximum, and standard deviation as the top feature s of importance variables that were statistically affected by the roller setting s. Applying multivariate discriminatory analysis on the five statistical measure s, three soil tilth classes were predicted with mean prediction rates of 77% (Roller-basket down), 64% (Roller-basket up), and 90% (No till).”
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 artificial intelligence. According to news originating from Brno, Czech Republic , by NewsRx correspondents, research stated, “Agent-based evacuation models prov ide useful data of the evacuation process, but they are not primarily designed f or use during an emergency.” Funders for this research include Technology Agency of The Czech Republic; Fakul ta Stavebni, Vysoke Uceni Technicke V Brne; Brno University of Technology. Our news correspondents obtained a quote from the research from Brno University of Technology: “The paper aims to test predicting RSET using a surrogate ML mode l trained on a simulation dataset with 60 samples. A total of 9 machine learning algorithms were tested on 3 simple geometries: bottleneck, stairway and walkway . A set of 7 spatial features was used to train the surrogate models. The result s showed a relatively good ability of Artificial Neural Network to learn in scen arios involving bottlenecks and stairways, with an R2: 0.99 on the testing datas et. In the walkway scenario, all models experienced a significant drop in perfor mance, with Gradient Boost performing the best (R2: 0.92).”
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 Machine Learning. According to news reporting from Chengdu, People’s Republic of China, by NewsRx journalists, research stated, “The railway, as a public transportatio n system, has played a significant role in global economic development. However, the pursuit of high speed and heavy load in trains has brought significant bend ing and shear stresses on the rails, making the performance of steel rails a not able focal point.” Financial supporters for this research include Science and Technology Research a nd Development Project of China National Railway Group Corporation Limited, Chen gdu Guojia Electrical Engineering Corporation Limited, National Natural Science 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 study results on have been publish ed. According to news reporting from Taipei Taiwan, by NewsRx journalists, rese arch stated, “People nowadays often ignore the importance of proper hydration. W ater is indispensable to the human body’s function, including maintaining normal temperature, getting rid of wastes and preventing kidney damage.” Financial supporters for this research include National Science And Technology C ouncil.
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 Artificial In telligence have been published. According to news reporting from Sosnowiec, Pola nd, by NewsRx journalists, research stated, “We overview selected artificial int elligence methods used in research on water systems, specifically artificial neu ral networks (ANN), adap tive neuro-fuzzy in fer ence sys tems (ANFIS), ge netic pro gram ming (GP) and sup port vec tor ma chine (SVM) meth ods.” The news correspondents obtained a quote from the research from the Faculty of N atural Sciences, “Each method is char ac ter ized and the most ef fec tive ways of us ing these meth ods are dis cussed. These meth ods prove widely use ful in fore cast ing changes in se lected sur face and ground wa ter qual ity pa ram e ters, fore cast ing sew age network failures, assessing water treatment options, climate monitoring, drought detection and environmental issues for farmers and pro duc ers.”
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