查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics. According to news originating from NotreDame, Indiana, by NewsRx corres pondents, research stated, “Soft robots can adapt to their environments,which m akes them suitable for deploying in disaster areas and agricultural fields, wher e their mobility isconstrained by complex terrain. One of the main challenges i n developing soft terrestrial robots is thatthe robot must be soft enough to ad apt to its environment, but also rigid enough to exert adequate forceon the gro und to locomote.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on artificial intelligence are presented in a new report. According to newsreporting out of Hohhot, People ’s Republic of China, by NewsRx editors, research stated, “This studyintroduces a novel device designed to monitor dairy cow behavior, with a particular focus on feeding,rumination, and other behaviors.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Artificial Intelligence is the su bject of a report. According to news reporting fromMadrid, Spain, by NewsRx jou rnalists, research stated, “Filariasis, a neglected tropical disease caused by roundworms, is a significant public health concern in many tropical countries. Mi croscopic examination ofblood samples can detect and differentiate parasite spe cies, but it is time consuming and requires expertmicroscopists, a resource tha t is not always available.”
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 - Com putational Intelligence is the subject ofa report. According to news reporting out of Wuhan, People’s Republic of China, by NewsRx editors,research stated, “T he global feature encoding and surface detail refinement are two critical compon entsfor point-based point cloud completion methods. However, existing methods t ypically use max poolingto hard integrate the neighbouring features, resulting in that the global feature can not well encode themajority of point position in formation.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Symbolic Computation are presented in a new report. According to newsreporting from Hohhot, People’s Re public of China, by NewsRx journalists, research stated, “Using thebilinear neu ral network method (BNNM) and the symbolic computation system Mathematica, this paperexplains how to find an exact solution for the (2+1)-dimensional Korteweg- de Vries-Sawada-Kotera-Ramani(KdVSKR) equation. In terms of activation function and weight coefficient, BNNM is a more appealingoption for users than traditio nal symbolic computation methods.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics - Androids. According to news reportingout of Henan, People’s Republic o f China, by NewsRx editors, research stated, “As one of themost direct and pivo tal modes of human-computer interaction (HCI), the application of surface electromyography (sEMG) signals in the domain of gesture prediction has emerged as a p rominent area ofresearch. To enhance the performance of gesture prediction syst em based on multichannel sEMG signals,a novel gesture prediction framework is p roposed that: 1) conversion of original biological signals frommultichannel sEM G into 2-D time-frequency maps is achieved through the incorporation of continuo uswavelet transform (CWT) and 2) for 2-D time-frequency map inputs, a Transform er-based classificationnetwork that effectively learns local and global context information is proposed, named DIFT-Net, withthe goal of implementing sEMG-bas ed gesture prediction for robot interaction.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on artificial intelligen ce have been presented. According to newsreporting from Islamia University of B ahawalpur by NewsRx journalists, research stated, “The study aimsto examine the viewpoints of teachers about using artificial intelligence and the perceived be nefits andchallenges of teachers using AI for teaching English in colleges in P akistan.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Support Vecto r Machines have been published. According to news reporting originating from Yan tai, People’s Republic of China, by NewsRx correspondents, researchstated, “The support vector machine (SVM) is a well-known statistical learning tool for bina ry classification.One serious drawback of SVM is that it can be adversely affec ted by redundant variables, and researchhas shown that variable selection is cr ucial and necessary for achieving good classification accuracy.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Plant Diseases and Con ditions is the subject of a report. According tonews reporting originating from Rohtak, India, by NewsRx correspondents, research stated, “In agriculture,crop s are severely affected by illnesses, which reduce their production every year. The detection of plantdiseases during their initial stages is critical and thus needs to be addressed.”
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 Robotic s. According to news reporting from Guangzhou,People’s Republic of China, by Ne wsRx journalists, research stated, “While zeroing neurodynamics (ZN)method stan ds out in handling various temporally-varying problems, the deficiencies of self -adaptivityand intelligence make ZN models be less mature. Aiming at this point , in this paper we propose threeadaptive ZN models, i.e., adaptive error-relate d ZN (AERZN) model, AERZN with power-sum (AERZNPS)model, and AERZN with modifi ed sign-bi-power (AERZN-MSBP) model, to solve the more challengingtemporally-va rying system of linear equation and inequation (TVSLEI).”
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