查看更多>>摘要：2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating from Xi’an, People’s Republic of China, by NewsRx correspondents, research stated, “The Supercritical Carbon Dioxide Brayton combined cycle is one of the most important ways to enhance the performance of the cycle. Since the considerable exergy loss resulting from large temperature differences in the heat exchangers of combined cycles, the multi-pressure evaporation concept was adopted from Organic Rankine cycle research.” Financial supporters for this research include Shenzhen Science and Technology Program, National Natural Science Foundation of China (NSFC), Major Program of the Natural Science Foundation of Shan- dong Province, Ministry of Education, China - 111 Project, Northwestern Polytechnical University Doctoral Dissertation Innovation Fund Project, China Scholarship Council, Center for Catalysis and Separation.
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 reporting from Victoria, Canada, by NewsRx journalists, research stated, “Increasing building energy consumption has led to environmental and economic issues.” Our news journalists obtained a quote from the research from University of Victoria: “Energy demand prediction (DP) aims to reduce energy use. Machine learning (ML) methods have been used to improve building energy consumption, but not all have performed well in terms of accuracy and efficiency.” According to the news reporters, the research concluded: “In this paper, these methods are examined and evaluated for modern building (MB) DP.”
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 – Investigators publish new report on Robotics. According to news reporting originat- ing from Harbin, People’s Republic of China, by NewsRx correspondents, research stated, “The robotic manipulation of deformable linear objects has shown great potential in a wide range of real-world applica- tions. However, it presents many challenges due to the objects’ non-linear properties and high-dimensional geometric configuration.” Financial support for this research came from Hong Kong Research Grants Council.
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 Oncology - Prostate Cancer is the subject of a report. According to news originating from Fuzhou, People’s Republic of China, by NewsRx correspondents, research stated, “The tumor microenvironment (TME) encompasses a variety of cells that influence immune responses and tumor growth, with tumor-associated macrophages (TAM) being a crucial component of the TME. TAM can guide prostate cancer in different directions in response to various external stimuli.” Financial support for this research came from Science and Technology Innovation Joint Fund project of Fujian province.
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 machine translation are discussed in a new report. According to news originating from the University of Lille by NewsRx editors, the research stated, “In this article, we discuss the need for a new digital literacy among language students, namely a literacy in relation to the use of machine translation (MT): MT literacy, following Bowker and Buitrago Ciro (2019).” The news journalists obtained a quote from the research from University of Lille: “This article does not focus on translation students who, due to the demands of the translation market, have already received a lot of attention from researchers. Rather, we focus on undergraduate language students, and argue that because of their massive use of free online translators-either to translate or to read and write in the language they are learning-instructors need to include a discus-sion on such tools. We argue that this discussion should include technical and ethical considerations, with a focus on how to ensure that students are able to use MT critically, identifying and correcting errors, for future professional use. Finally, we discuss the thorny issue of evaluation for this type of digital literacy. The discussion is based on several experiments conducted with undergraduate students enrolled in their final year of a three-year program in applied languages.”
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 Machine Learning is the subject of a report. According to news reporting originating in Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “To enable vegetable cultivation in conditions lacking freshwater and soil, such as islands and offshore platforms, this study proposes to combine interfacial solar evaporation with hydroponic techniques to set up an electricityfree self-sustaining desalination and cultivation platform. To maintain a dynamic balance between freshwater supply and demand on the platform, we investigate the relationship between water consumption in hydroponic lettuce cultivation and meteorological conditions such as temperature, humidity, and solar radiation.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Oceanic Interdisciplinary Program of Shanghai Jiao Tong University, Science & Technology Commission of Shanghai Municipality (STCSM).
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 origi- nating from Jiangsu, People’s Republic of China, by NewsRx correspondents, research stated, “Urban green spaces (UGSs) are known to promote psychological restoration. However, most traditional studies measure this effect statically using preset assumptions or scenarios, and tend to neglect factors’ varied effect under different conditions.” Funders for this research include National Natural Science Foundation of China (NSFC), Science and Technology Projects of Ministry of Housing and Urban-Rural Development of China.
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 Manchester, United Kingdom, by NewsRx journalists, research stated, “Small-scale soft robots demonstrate intricate life-like behavior and allow navigation through arduous terrains and confined spaces. However, the primary challenges in soft robotics are 1) creating actuators capable of quick, reversible 22D-to-3D shape morphing with adjustable stiffness, 2) improving actuation force and robustness for wider applications, and 3) designing holistic systems for untethered manipulation and flexible multimodality in practical scenarios.”
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 - Robotics and Automation are presented in a new report. According to news reporting originating from Toronto, Canada, by NewsRx correspondents, research stated, “In this letter, we propose a way to model the resilience of the Iterative Closest Point (ICP) algorithm in the presence of corrupted measurements. In the context of autonomous vehicles, certifying the safety of the localization process poses a significant challenge.” Financial support for this research came from CGIAR.
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 Machine Translation are presented in a new report. According to news reporting out of Hamirpur, India, by NewsRx editors, research stated, “With the fast advancement of AI technology in recent years, many excellent Data Augmentation (DA) approaches have been investigated to increase data efficiency in Natural Language Processing (NLP). The reliance on a large amount of data prohibits NLP models from performing tasks such as labelling enormous amounts of textual data, which require a substantial amount of time, money, and human resources; hence, a better model requires more data.”
NETL
NSTL
Elsevier
Mdpi
IEEE
Springer Nature