查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Current study results on Robotics have been published. According to news reporting outof Shenzhen, People's Republic of China, by NewsRx editors, research stated, "The cable-driven redundantspace manipulator (CDRSM) has a wide range of potential applications in on-orbit servi cing due to its lightweight, low inertia, and intrinsic compliance. Especially for capturing and detumbling large-momentumtumbling targets in space, it requir es agile approaching and synchronizing, compliant contact and dexterouspost-cap ture manipulation."Funders for this research include National Natural Science Foundation of China ( NSFC), NationalNatural Science Foundation of China (NSFC), Shenzhen Science and Technology Program, ShenzhenBasic Research Program, Shenzhen Stable Support Pr ogram.
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 Ar tificial Intelligence. According to news reportingoriginating in Nanjing, Peopl e's Republic of China, by NewsRx journalists, research stated, "Embodiedartific ial intelligence (AI) represents a new generation of robotics technology combine d with artificialintelligence, and it is at the forefront of current research. To reduce the impact of deepfake technology onembodied perception and enhance t he security and reliability of embodied AI, this paper proposes a noveldeepfake detection model with a new Balanced Contrastive Learning strategy, named BCL."Financial supporters for this research include National Natural Science Foundati on of China (NSFC),National Key R&D &D Program of Chi na.
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 is th e subject of a report. According to newsreporting originating from Quebec City, Canada, by NewsRx correspondents, research stated, "MachineLearning (ML) is in tegrated into a growing number of systems for various applications. Because theperformance of an ML model is highly dependent on the quality of the data it has been trained on, thereis a growing interest in approaches to detect and repair data errors (i.e., data cleaning)."Funders for this research include Fonds de recherche du Qubec, Fonds de recherch e du Quebec (FRQ),Canadian Institute for Advanced Research (CIFAR), Natural Sci ences and Engineering Research Councilof Canada (NSERC).
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 reportingout of the Russian Academy of Sciences by NewsRx editors, research stated, "Natural language processingmet hods can be used to predict advanced application trends in formal ontologies."Our news correspondents obtained a quote from the research from Russian Academy of Sciences:"Formal ontologies help to formalize the characteristics of objects in various domains. As a result, machinelearning programs identify patterns an d relationships between these characteristics. The article describesan experime nt based on machine learning methods in combination with text search methods. It involvesthe CatBoost algorithm for predictive modeling and clustering of lexic al items. The vector models ofthe corresponding items reflect a trend in a part icular domain of knowledge; proximity between themwas calculated based on the i dea of semantic distance. The experiment revealed four advanced areas forformal ontologies, i.e., genotype - phenotype; personalization; clustering algorithms, and collaborative taskmanagement."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators discuss new findings in robotics. A ccording to news originating from National Research University "Moscow Power Eng ineering Institute" by NewsRx correspondents, research stated, "Introduction. De signing motion control systems for mobile robots requires the construction of mathematical models. Researchers have repeatedly addressed this topic."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Fresh data on robotics and mechatronic s are presented in a new report. Accordingto news reporting out of Tokushima, J apan, by NewsRx editors, research stated, "In Japan today, aginginfrastructures such as dams and bridges are becoming an issue."Funders for this research include Japan Society For The Promotion of Science.Our news reporters obtained a quote from the research from Tokushima University: "We consideredthat the use of a hydrofoil multicopter would be an effective me thod for inspecting and surveying suchfacilities. When using a hydrofoil multic opter, it is possible to take off from the shore, land on the water,and dive wi thout using a ship. The aircraft developed in this study has the capability to c ommunicatewith the land."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists,a patent application by the inve ntor MATSUKI, Toshio (Kyoto, JP), filed on June 21, 2024, was madeavailable onl ine on October 17, 2024.No assignee for this patent application has been made.Reporters obtained the following quote from the background information supplied by the inventors: "Inrecent years, devices using batteries such as storage batt eries have been increasing in number. In orderto safely use such devices, it is necessary to prevent batteries from running out of power, and even if astorage battery is in use, it is necessary to measure the correct capacity at the appro priate times."As methods of obtaining the capacity (FCC) of a storage battery, there are a me thod of measuringthe amount of charged charge by charging the storage battery f rom the state in which the storage batteryran out of charge to the full-charge state and a method of measuring a remaining capacity change amount(dSOC) and a charge change amount (dQ) each representing a change from the beginning to the e nd of aperiod, even if the storage battery has not run out of charge or reached the full-charge state, and dividingthe charge change amount by the remaining c apacity change amount.
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 fromNaples, Italy, by NewsRx journalists , research stated, "A systematic review on machine-learning strategiesfor impro ving generalization in electroencephalographybased emotion classification was re alized. Inparticular, cross-subject and cross-session generalization was focuse d."Financial supporters for this research include Italian Ministry of Enterprise an d Made in Italy, EuropeanUnion-FSE-REACT-EU, Ministry of Education, Universitie s and Research (MIUR), PhD GrantAR4ClinicSur-Augmented Reality for Clinical Sur gery (INPS-National Social Security Institution - Italy).The news correspondents obtained a quote from the research from the University o f Naples FedericoII, "In this context, the non-stationarity of electroencephalo graphic (EEG) signals is a critical issue andcan lead to the Dataset Shift prob lem. Several architectures and methods have been proposed to addressthis issue, mainly based on transfer learning methods. In this review, 449 papers were retr ieved fromthe Scopus, IEEE Xplore and PubMed databases through a search query f ocusing on modern machinelearning techniques for generalization in EEG-based em otion assessment. Among these papers, 79 werefound eligible based on their rele vance to the problem. Studies lacking a specific cross-subject or crosssessionvalidation strategy, or making use of other biosignals as support were excluded. On the basis ofthe selected papers' analysis, a taxonomy of the studies employ ing Machine Learning (ML) methods wasproposed, together with a brief discussion of the different ML approaches involved. The studies reportingthe best results in terms of average classification accuracy were identified, supporting that tr ansfer learningmethods seem to perform better than other approaches."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews-Investigators publish new report on Artificial In telligence. According to news reporting originatingin Ostrava, Czech Republic, by NewsRx journalists, research stated, "Fetal phonocardiography (FPCG) isa non -invasive Fetal Heart Rate (FHR) monitoring technique that can detect vibrations and murmurs inheart sounds. However, acquiring fetal heart sounds from a weara ble FPCG device is challenging due tonoise and artefacts."Funders for this research include European Union (EU), Ministry of Education of the Czechia.The news reporters obtained a quote from the research from the VSB-Technical Uni versity of Ostrava,"This research contributes a resilient solution to overcome the conventional issues by adopting ArtificialIntelligence (AI) with FPCG for a utomated FHR monitoring in an end-to-end manner, named (AI-FHR).Four sequential methodologies were used to ensure reliable and accurate FHR monitoring. The pro posedmethod removes low-frequency noises and high-frequency noises by using Che byshev II high-pass filtersand Enhanced Complete Ensemble Empirical Mode Decomp osition with Adaptive Noise (ECEEMDAN)in combination with Phase Shifted Maximal Overlap Discrete Wavelet Transform (PS-MODWT) filters,respectively. The denois ed signals are segmented to reduce complexity, and the segmentation is performedusing multi-agent deep Q-learning (MA-DQL). The segmented signal is provided to reduce the redundanciesin cardiac cycles using the Artificial Hummingbird Opti mization (AHBO) algorithm. The segmentedand non-redundant signals are converted into 3D spectrograms using a machine learning algorithm calledvariational auto -encoder-general adversarial networks (VAE-GAN). The feature extraction and clas sificationare carried out by adopting a hybrid of the bidirectional gated recur rent unit (BiGRU) and themulti-boosted capsule network (MBCapsNet). The propose d method was implemented and simulated usingMATLAB R2020a and validated by adop ting effective validation metrics. The results demonstrate thatthe proposed met hod performed better than the current method with accuracy (81.34%) , sensitivity (72%), F1- score (83%), Energy (0.808 J) , and complexity index (13.34). Like other optimization methods,AHO needs preci se parameter adjustment in order to function well."
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Research findings on Robotics are disc ussed in a new report. According to newsreporting originating from Espoo, Finla nd, by NewsRx correspondents, research stated, "The integrationof communication and radar systems could enhance the robustness of future communication systems tosupport advanced application demands, e.g., target sensing, data exchange, an d parallel computation. Inthis article, we investigate the beamforming design f or integrated sensing, computing, and communication(ISCC) in the Internet of Ro botic Things (IoRT) scenario."Financial supporters for this research include European Union's HE Research and Innovation Program,Business Finland 6Bridge 6Core Project.
NETL
NSTL