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 support vector machines. According to news reporting out of Beijing University o f Science and Technology by NewsRx editors, research stated, “As the core of ont ology integration, the task of ontology mapping is to find the semantic relation ship between ontologies.” The news journalists obtained a quote from the research from Beijing University of Science and Technology: “Nevertheless, most existing ontology mapping methods only rely ontext information to calculate entity similarity, thereby disregardi ng semantic nuances and necessitating substantial manual intervention. Therefore , this paper introduces an ontology mapping method. Based on the traditional ont ology mapping method, the process employs a deep learning model to mine the sema ntic information of entity concepts, entity properties and ontology structure to obtain the embedding vector. We use the similarity mechanism to calculate the s imilarity between different embedding vectors, and combine the similarity values obtained from multiple strategy entities into a similarity matrix. The similari ty matrix serves as input to the support vector machine (SVM), and the ontology mapping problem is finally transformed into a binary classification problem. How ever, since the number of mapped pairs is much larger than the number of non-map ped pairs, the number of positive samples in the data set is much smaller than t he number of negative samples.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting originating in Wuhan, People’s Repub lic of China, by NewsRx journalists, research stated, “The stability of multi-ro bot flocking is closely related to the control model and the quality of wireless communications. In this study, we delve into the discrete-time flocking control problem for multi-robot systems (MRS) operating under an ad hoc network with ra ndom link failures.” The news reporters obtained a quote from the research from the Huazhong Universi ty of Science and Technology, “Specifically, we initially propose a discrete-tim e control model for multi-robot flocking that describes the inherent instability in the transmission of robot state information as a Bernoulli variable. Compare d to existing controllers, this model requires less information exchange and is more practical for implementation in multi-robot systems. Subsequently, stabilit y analysis is conducted for the controller, revealing that the MRS cannot achiev e asymptotic flocking but can attain flocking in expectation when relevant stabi lity conditions are satisfied. The stability conditions are deduced using the Ly apunov method, imposing constraints on the controller gains, the interaction per iod, and the successful transmission probability of communication links. Notably , the upper bound for the interaction period is significantly improved, thereby alleviating the communication network’s burden.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Hematologic Diseases a nd Conditions - Thrombocytopenia is the subject of a report. According to news r eporting from Hefei, People’s Republic of China, by NewsRx journalists, research stated, “Severe fever with thrombocytopenia syndrome (SFTS) has attracted atten tion due to the rising incidence and high severity and mortality rates. This stu dy aims to construct a machine learning (ML) model to identify SFTS patients at high risk of death early in hospital admission, and to provide early intensive i ntervention with a view to reducing the risk of death.” The news correspondents obtained a quote from the research from the Chaohu Hospi tal of Anhui Medical University, “Data of patients hospitalized for SFTS in two hospitals were collected as training and validation sets, respectively, and six ML methods were used to construct the models using the screened variables as fea tures. The performance of the models was comprehensively evaluated and the best model was selected for interpretation and development of an online web calculato r for application. A total of 483 participants were enrolled in the study and 96 (19.88%) patients died due to SFTS. After a comprehensive evaluati on, the XGBoost-based model performs best: the AUC scores for the training and v alidation sets are 0.962 and 0.997. Using ML can be a good way to identify high risk individuals in SFTS patients.”
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 new report. According to news originating from Gyeonggi Do , South Korea, by NewsRx correspondents, research stated, “The detection of ship fires is a critical aspect of maritime safety and surveillance, demanding high accuracy in both identification and response mechanisms. However, the scarcity o f ship fire images poses a significant challenge to the development and training of effective machine learning models.” Financial supporters for this research include Korea Agency For Technology And S tandards; Establishment of Standardization Basis For Bci And Ai Interoperability ; Development of International Standard Technologies Based on Ai Model Lightweig hting Technologies; Development of International Standard Technologies Based on Ai Learning And Inference Technologies.
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 originating from Guangzhou, People’s Republic of China , by NewsRx correspondents, research stated, “The widespread adoption of arc add itive manufacturing techniques across various industries has advanced the field of SS316L stainless steel manufacturing.” Financial supporters for this research include National Natural Science Foundati on of China; Innovative And Strong School Engineering Flushing And Reinforcement Project; Guangdong Graduate Education Innovation Project; Guangdong Polytechnic Normal University Graduate Education Innovation Project; Science And Technology Program of Guangzhou; Key Construction Discipline Research Ability Improvement Project of Guangdong Province.
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 robotics. According to news reporting from Visakhapatnam, India, by NewsRx journ alists, research stated, “Arobotic system refers to a mechanized apparatus, ofte n controllable remotely or programmable via a computer, that is capable of execu ting various tasks.” The news reporters obtained a quote from the research from Department of Mechani cal Engineering: “These machines can be directed by an external control source. While some robots mimic human-like features, most are designed primarily for fun ctionality rather than appearance. They encompass a wide range, from humanoid mo dels like Honda’s Advanced Step in Innovative Mobility and TOSY’s Ping Pong Play ing Robot to specialized industrial, medical, or assistance robots, such as thos e used in surgery. Over time, robotic capabilities have advanced significantly. Modern robots exhibit a broad range of movements and actions, mirroring many tas ks performed by humans in daily life. However, despite these advancements, certa in crucial operations, such as ladder climbing, which is essential for surveilla nce, security, and accessing elevated materials, remain challenging for current robotic systems.”
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 Robotics have been published. According to news originating from Heilongjiang, People’s Repub lic of China, by NewsRx correspondents, research stated, “The pneumatic soft act uator has a great influence on the structural design of robot. However, the robo t has the disadvantages of complex structure, heavy weight and a shorter sustain able locomotion time a linear and a semicircular soft chamber, which is bonded b y non-stretchable material.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from the Harbin Institut e of Technology, “The stretch and recovery motion of the SASA can be realised by controlling a solenoid valve and a oneway pump to adjust the flow direction of the pre-charged air. A structural parameters and their effect on drive performan ce.”
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 Robotic s. According to news reporting originating in Ann Arbor, Michigan, by NewsRx edi tors, the research stated, “Recently, there has been great interest in deploying autonomous mobile robots in airports, malls, and hospitals to complete a range of tasks such as delivery, cleaning, and patrolling. The rich context of these e nvironments gives rise to highly unstructured motion that is challenging for rob ots to anticipate and adapt to.” Financial supporters for this research include Honda Research Institute USA, Nat ional Science Foundation (NSF), CHS, DARPA RACER, Office of Naval Research, Amaz on. The news reporters obtained a quote from the research from the University of Mic higan, “This results in uncomfortable and unsafe human-robot encounters, poor ro bot performance, and even catastrophic failures that hinder robot acceptance. Su ch observations have motivated my work on social robot navigation, the problem o f enabling robots to navigate in human environments while accounting for human s afety and comfort.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from Andhra Pradesh, India , by NewsRx correspondents, research stated, “This study presents a novel approa ch to emergency vehicle classification that leverages a comprehensive set of inf ormative audio features to distinguish between ambulance sirens, fire truck sire ns, and traffic noise. A unique contribution lies in combining time domain featu res, including root mean square (RMS) and zero-crossing rate, to capture the tem poral characteristics, like signal energy changes, with frequency domain feature s derived from short-time Fourier transform (STFT).” The news editors obtained a quote from the research from VIT-AP University: “The se include spectral centroid, spectral bandwidth, and spectral roll-off, providi ng insights into the sound’s frequency content for differentiating siren pattern s from traffic noise. Additionally, Mel-frequency cepstral coefficients (MFCCs) are incorporated to capture the human-like auditory perception of the spectral i nformation. This combination captures both temporal and spectral characteristics of the audio signals, enhancing the model’s ability to discriminate between eme rgency vehicles and traffic noise compared to using features from a single domai n. A significant contribution of this study is the integration of data augmentat ion techniques that replicate real-world conditions, including the Doppler effec t and noise environment considerations. This study further investigates the effe ctiveness of different machine learning algorithms applied to the extracted feat ures, performing a comparative analysis to determine the most effective classifi er for this task. This analysis reveals that the support vector machine (SVM) ac hieves the highest accuracy of 99.5 %, followed by random forest (RF ) and k-nearest neighbors (KNNs) at 98.5%, while AdaBoost lags at 9 6.0% and long short-term memory (LSTM) has an accuracy of 93% .”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om Buraydah, Saudi Arabia, by NewsRx correspondents, research stated, “Software bug prediction is a software maintenance technique used to predict the occurrenc es of bugs in the early stages of the software development process.” Our news editors obtained a quote from the research from Qassim University: “Ear ly prediction of bugs can reduce the overall cost of software and increase its r eliability. Machine learning approaches have recently offered several prediction methods to improve software quality. This paper empirically investigates eight well-known machine learning and deep learning algorithms for software bug predic tion. We compare the created models using different evaluation metrics and a wel l-accepted dataset to make the study results more reliable. This study uses a la rge dataset collected from five publicly available bug datasets that includes ab out 60 software metrics. The source-code metrics of internal class quality, incl uding cohesion, coupling, complexity, documentation inheritance, and size metric s, were used as features to predict buggy and non-buggy classes.”
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