查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Genoa, Ital y, by NewsRx correspondents, research stated, "In liberalized electricity market s, trading energy between generators and consumers occurs primarily on the DayAh ead Market (DAM) one day in advance. However, the scheduled programs may not com ply with grid requirements or real -time conditions." Financial support for this research came from European Union's Horizon 2022 gree n research and innovation programme, SINNOGENES.
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Robotics are disc ussed in a new report. According to news reporting from Raipur, India, by NewsRx journalists, research stated, "Nowadays, web robots are predominantly used for auto-accessing web content, sharing almost one-third of the total web traffic an d often posing threats to various web applications' security, privacy, and perfo rmance. Detecting these robots is essential, and both online and offline methods are employed." The news correspondents obtained a quote from the research from the National Ins titute of Technology Raipur, "One popular offline method is the use of weblog fe ature-based automated learning. However, this method alone cannot accurately ide ntify web robots that continuously evolve and camouflage. Web content features c ombined with weblog features are used to detect such robots based on the assumpt ion that human users exhibit specific interests while robots randomly navigate w eb pages. State-of-the-art web content-based feature methods lack the ability to generate coherent topics, which can confound the performance of classification models. Therefore, we propose a new content semantic feature extraction method t hat uses the LDA2Vec topic model, combining the strengths of LDA and the Word2Ve c model to produce more semantically coherent topics by exploiting website conte nt for a web session. To effectively detect web robots, web resource content sem antic features are combined with log- based features in the proposed web robot d etection approach. The proposed approach is evaluated in an ecommerce website ac cess logs and content data. The F-score, balanced accuracy, G-mean, and Jaccard similarity are used for performance measures, and the coherence score metric is used to determine the number of topics for a session."
查看更多>>摘要：2024 OCT 03 (NewsRx)-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 Hatfield, Unite d Kingdom, by NewsRx journalists, research stated, "Artificial intelligence and its subfields, such as machine learning, robotics, optimisation, knowledge-based systems, reality capture and extended reality, have brought remarkable advancem ents and transformative changes to various industries, including the building de construction industry. Acknowledging AI's benefits for deconstruction, this pape r aims to investigate AI applications within this domain."
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Artificial Intelligen ce have been presented. According to news reporting originating from New Delhi, India, by NewsRx correspondents, research stated, "Artificial intelligence techn ologies such as machine learning and deep learning employ techniques to anticipa te results more effectively without human involvement. Since AI models are viewe d as opaque models, their application in healthcare is still restricted." Our news editors obtained a quote from the research from Indira Gandhi Delhi Tec hnical University for Women, "Explainable artificial intelligence (XAI) has been designed to increase the use of artificial intelligence (AI) algorithms in the healthcare sector by increasing trust in the model's predictions and explaining how they are developed. The aim of this article is to critically review, compare , and summarize existing research and to find new research possibilities of XAI for applications in healthcare. This study is conducted by finding articles rela ted to XAI in biological and healthcare domains from the PubMed, Science Direct, and Web of Science databases using the PRISMA method. A comparative study of th e state-of-the-art XAI techniques to evaluate its applications in healthcare has also been done using an experimental demonstration on the Diabetes dataset. XAI techniques, namely LIME, SHAP, PDP, and decision tree, were used to explain how various input attributes contributed to the outcome of the model. This study fo und that the explanations provided by these models are not easily understandable for different users of the model, like doctors and patients, and need expertise . This study found that the potential of XAI in the medical domain is high as it increases trust in the AI model."
查看更多>>摘要：2024 OCT 03 (NewsRx)-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 originating from London, United Kingdom, b y NewsRx correspondents, research stated, "Optical tactile sensors play a pivota l role in robot perception and manipulation tasks. The membrane of these sensors can be painted with markers or remain markerless, enabling them to function in either marker or markerless mode." Funders for this research include National Natural Science Foundation of China ( NSFC), Engineering & Physical Sciences Research Council (EPSRC). Our news editors obtained a quote from the research from King's College London, "However, this uni-modal selection means the sensor is only suitable for either manipulation or perception tasks. While markers are vital for manipulation, they can also obstruct the camera, thereby impeding perception. The dilemma of selec ting between marker and markerless modes presents a significant obstacle. To add ress this issue, we propose a novel mode-switchable optical tactile sensing appr oach that facilitates transitions between the two modes. The marker-to-markerles s transition is achieved through a generative model, whereas its inverse transit ion is realized using a sparsely supervised regressive model. Our approach allow s a single-mode optical sensor to operate effectively in both marker and markerl ess modes without the need for additional hardware, making it well-suited for bo th perception and manipulation tasks. Extensive experiments validate the effecti veness of our method. For perception tasks, our approach decreases the number of categories that include misclassified samples by 2 and improves contact area se gmentation IoU by 3.53%."
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news originating from Singapore, Singapore, by NewsRx correspondents, research stated, "Accurate and efficient prediction of polymers properties is crucial for polymer design. Recently, data-driven artifi cial intelligence (AI) models have demonstrated great promise in polymers proper ty analysis." Funders for this research include Nanyang Technological University SPMS Collabor ative Research Award 2022, Singapore Ministry of Education Academic Research.
查看更多>>摘要：2024 OCT 03 (NewsRx)-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 Malaga, Spain, by NewsRx journalists, r esearch stated, "Gas source localization (GSL) with an autonomous robot is a pro blem with many prospective applications, from finding pipe leaks to emergency-re sponse scenarios. In this work, we present a new method to perform GSL in realis tic indoor environments, featuring obstacles, and turbulent flow." Financial support for this research came from Government of Andalucia under the HOUNDBOT project. The news correspondents obtained a quote from the research from the University o f Malaga, "Given the highly complex relationship between the source position and the measurements available to the robot (the single-point gas concentration, an d the wind vector) we propose an observation model that derives from contrasting the online, real-time simulation of the gas dispersion from any candidate sourc e localization against a gas concentration map built from sensor readings. To ac count for a convenient and grounded integration of both into a probabilistic est imation framework, we introduce the concept of probabilistic gas-hit maps, which provide a higher level of abstraction to model the time-dependent nature of gas dispersion."
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on robotics are presented in a new rep ort. According to news originating from Chengdu, People's Republic of China, by NewsRx editors, the research stated, "The motion control system of a lower-limb exoskeleton rehabilitation robot (LLERR) is designed to assist patients in lower -limb rehabilitation exercises." Funders for this research include The Sichuan Provincial Regional Innovation Coo peration Project. The news correspondents obtained a quote from the research from Chengdu Universi ty: "This research designed a motion controller for an LLERR-based on the Twin D elayed Deep Deterministic policy gradient (TD3) algorithm to control the lower-l imb exoskeleton for gait training in a staircase environment. Commencing with th e establishment of a mathematical model of the LLERR, the dynamics during its mo vement are systematically described. The TD3 algorithm is employed to plan the m otion trajectory of the LLERR's right-foot sole, and the target motion curve of the hip (knee) joint is deduced inversely to ensure adherence to human physiolog ical principles during motion execution. The control strategy of the TD3 algorit hm ensures that the movement of each joint of the LLERR is consistent with the t arget motion trajectory."
查看更多>>摘要：2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news originating from Coventry, United Kingdom, by News Rx correspondents, research stated, "Debris flows are more likely to be triggere d in the earthquake-strike areas with a widespread presence of unstable slopes, causing severe casualties and changing the surrounding natural topography. In su ch scenario, estimating the travel distance of debris flows becomes crucial to u nderstand the hazardous areas." Financial support for this research came from European Union (EU). Our news journalists obtained a quote from the research from the University of W arwick, "Therefore, a hybrid machine learning model (GA-XGBoost) was employed to achieve a reliable estimation of debris-flow travel distance. This model was ap plied to the Nepal Himalayas, the site of the 2015 Gorkha earthquake." According to the news editors, the research concluded: "We selected four geomorp hological factors for travel distance estimation."
查看更多>>摘要：2024 OCT 03 (NewsRx)-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 from Raleigh, North Carolin a, by NewsRx journalists, research stated, "Support vector machine (SVM) is a po werful model for supervised learning. This article addresses the nonlinear binar y classification problem using kernel-based SVM with uncertainty involved in the input data specified by the first- and second-order moments." Financial supporters for this research include National Science Foundation (NSF) , National Natural Science Foundation of China (NSFC).
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