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    New Machine Learning Study Findings Have Been Reported by In- vestigators at University of Porto (Machine Learning Models for Short-term Demand Forecasting In Food Catering Services: a So- lution To Reduce Food Waste)

    29-30页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting originating in Porto, Portugal, by NewsRx journalists, research stated, “Food waste is responsible for severe environmental, social, and economic issues and therefore it is imperative to prevent or at least minimize its generation. The main cause of food waste is poor demand forecasting and so it is essential to improve the accuracy of the tools tasked with these forecasts.” The news reporters obtained a quote from the research from the University of Porto, “The present work proposes four models meant to help food catering services predict food demand accurately and thus avoid overproducing or underproducing. Each model is based on a different machine learning technique. Two baseline models are also proposed to mimic how food catering services estimate future demand and to infer the added value of employing machine learning in this context. To verify the impact of the proposed models, they were tested on data from the three different canteens chosen as case studies. The results show that the models based on the random forest algorithm and the long short-term memory neural network produced the best forecasts, which would lead to a 14% to 52% reduction in the number of wasted meals. Furthermore, by basing their decisions on these forecasts, the food catering services would be able to reduce unmet demand by 3% to 16% when compared with the forecasts of the baseline models. Thus, employing machine learning to forecast future demand can be very beneficial to food catering services.”

    Fudan University Reports Findings in Angle-Closure Glaucoma (Metabolomics identifies and validates serum androstenedione as novel biomarker for diagnosing primary angle closure glaucoma and predicting the visual field progression)

    30-31页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Eye Diseases and Conditions - Angle-Closure Glaucoma is the subject of a report. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Primary angle closure glaucoma (PACG) is the leading cause of irreversible blindness in Asia, and no reliable, effective diagnostic, and predictive biomarkers are used in clinical routines. A growing body of evidence shows metabolic alterations in patients with glaucoma.” Financial supporters for this research include National Natural Science Foundation of China, Youth Med- ical Talents - Clinical Laboratory Practitioner Program, Shanghai Municipal Health Commission Project, Higher Education Industry-Academic-Research Innovation Fund of China.

    Study Results from Vidyasagar University Broaden Understanding of Robotics (Multiple-attribute Decision-making for Selection of Med- ical Robotic Engineering Based On Logarithmic Square Root Neu- trosophic Normal Approach)

    31-32页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Robotics are discussed in a new report. According to news reporting originating from Midnapore, India, by NewsRx correspondents, research stated, “We introduce the concept of logarithmic square root neutrosophic normal interval-valued set (LO-SRNSNIVS) based on multiple attribute decisionmaking (MADM) problems that can be solved in our communication. The logarithmic square root neutrosophic sets (LO-SRNSSs) are new approach of the interval-valued neutrosophic sets (IVNSSs) and neutrosophic sets (NSSs).” Financial support for this research came from King Saud University.

    University of Johannesburg Researcher Yields New Findings on Robotics (Sex Robots and the Objectification of the Human Body: A Sub-Saharan African Perspective)

    32-33页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented in a new report. According to news reporting from the University of Johannesburg by NewsRx journalists, research stated, “Sex robots, in a broad ethical sense, challenge our traditional social norms, sexual interactions, and how we visualise the human body.” Our news journalists obtained a quote from the research from University of Johannesburg: “As a distinct sex stimulation technology, sex robots are ethically problematic because of the humanlike characteristics that these technologies embody. In this paper, I argue, on the one hand, that the design of sex robots objectifies the human body, from an African perspective, because of their humanoid appearance. This objectification of the human body contradicts the African conception of the human body as possessing inalienable dignity, vitality, and sacredness. On the other hand, I show how the designs of sex robots reinforce adverse stereotypical gender norms and standards of beauty.”

    New Artificial Intelligence Data Have Been Reported by Researchers at 'Alexandru Ioan Cuza' University of Iasi (The Influence of Phys- ical Activity Regime on Body Composition among Adolescents with and without Intellectual Disabilities)

    33-34页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial intelligence have been published. According to news originating from “Alexandru Ioan Cuza” University of Iasi by NewsRx correspondents, research stated, “This study aims to assess several morphofunctional parameters in female teenagers with and without intellectual disability to characterise normality and its disturbances.” Our news reporters obtained a quote from the research from “Alexandru Ioan Cuza” University of Iasi: “More precisely, the purpose was to examine the factors contributing to the differences in body composition elements between groups, such as the physical activity level. To evaluate these parameters, we used bioelectrical impedance analysis technology (BIA), most commonly used in studies concerning body composition because it is non-invasive, quick, with high data fidelity; it can be easily moved to various locations and applied straightforwardly among populations with diverse types of intellectual disability. Our research sample comprised 212 subjects (boys and girls) aged 17.1±0.6, divided into six groups by gender and type of intellectual disability. The study found influences of physical activity level on body composition components.”

    Studies from Hefei University of Technology Reveal New Findings on Robotics (Cooperative Position and Orientation Modeling for Dual-robot Mirror Milling Under Multi-source Constraints)

    34-35页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subject of a report. According to news reporting originating in Anhui, People’s Republic of China, by NewsRx journalists, research stated, “The mirror milling method applied in the machining of thin-walled workpieces can effectively reduce machining deformation and improve machining quality. However, it is challenging to model the collaborative relationship between the positions and orientations of dual-robot end effectors due to the coupled effects of multiple constraints.” Financial support for this research came from National Natural Science Foundation of China (NSFC).

    Central South University Reports Findings in Artificial Intelligence (Artificial intelligence-based prediction model for the elemental oc- currence form of tailings and mine wastes)

    35-36页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news originating from Changsha, People’s Republic of China, by NewsRx correspondents, research stated, “With the advent of the second industrial revolution, mining and metallurgical processes generate large volumes of tailings and mine wastes (TMW), which worsens global environmental pollution. Studying the occurrence of metal and metalloid elements in TMW is an effective approach to evaluating pollution linked to TMW.”

    University of Catania Researcher Targets Androids ('I See What You Feel': An Exploratory Study to Investigate the Understanding of Robot Emotions in Deaf Children)

    36-37页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on androids have been published. According to news report- ing from Catania, Italy, by NewsRx journalists, research stated, “Research in the field of human-robot interactions (HRIs) has advanced significantly in recent years. Social humanoid robots have undergone severe testing and have been implemented in a variety of settings, for example, in educational institutions, healthcare facilities, and senior care centers.” Funders for this research include University of Catania.

    Data on Machine Learning Discussed by Researchers at Univer- sity of Science and Technology Beijing (Machine Learning- Based Shale Wettability Prediction: Implications for H2, Ch4 and Co2 Geo-storage)

    37-38页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Shale wettability determines shale gas productivities and gas (H2, CH4 and CO2) geo-storage efficiencies. However, shale wettability is a complex parameter which depends on multiple influencing factors, thus very time-consuming and costly to measure experimentally.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), CNPC Innovation Found, China Postdoctoral Science Foundation, University of Science and Technology Beijing, National Natural Science Foundation of China (NSFC), Australian Research Council.

    Researchers from Beihang University Detail New Studies and Find- ings in the Area of Machine Learning (Machine Learning In Soft Matter: From Simulations To Experiments)

    38-39页
    查看更多>>摘要:2024 FEB 27 (NewsRx) – 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 Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Soft matter with diverse functionalities that are easily designable has fascinated tremendous research interests in the past several decades. Nevertheless, the inherent confluence of time and length scale ubiquitous in soft matter immensely complicates the elucidation of the structure-property relationship and thereby severely impedes the function exploration of soft materials.” Funders for this research include National Natural Science Foundation of China (NSFC), Fundamental Research Funds for the Central University, Fundamental Research Funds for the Central University from Beihang University.