查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on human-centric intelli gent systems have been presented. According to news originating from Liverpool H ope University by NewsRx correspondents, research stated, “Random grids are a me thod for visual secret sharing, whereby a secret image is encoded into a number of shares, each of which is maximally entropic.” Our news editors obtained a quote from the research from Liverpool Hope Universi ty: “There has been growing interest in hiding multiple images in a scheme, such that additional images are revealed by stacking the shares in different ways. T his paper proposes a metaheuristic method for generating schemes that allow for a wide range of transformations, or even combinations thereof, to reveal an arbi trary number of secret images. Up to 10 multi-secrets are shown in this paper, a s well as hiding multiple secrets in a general access structure. To remove noise from these schemes an algorithm is proposed to extract the information from the noise, and in all cases, relative contrasts are given. In one example, six imag es are hidden in two shares, such that the mean relative contrast under OR-stack ing is 0.152, under XOR-stacking 0.278, and with noise removed, it is 0.74.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Oral Cancer is the subject of a report. According to news reporting from Toronto, Canada, b y NewsRx journalists, research stated, “Accurate prediction of hospital length o f stay (LOS) following surgical management of oral cavity cancer (OCC) may be as sociated with improved patient counseling, hospital resource utilization and cos t. The objective of this study was to compare the performance of statistical mod els, a machine learning (ML) model, and The American College of Surgeons Nationa l Surgical Quality Improvement Program’s (ACS-NSQIP) calculator in predicting LO S following surgery for OCC.”
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 human-centric intelligent systems have been published. According to news originating from Wuh an University of Technology by NewsRx correspondents, research stated, “Natural language inference (NLI) is a fundamental task of natural language processing (N LP).” The news correspondents obtained a quote from the research from Wuhan University of Technology: “Most recent NLI research has focused on explaining the model’s decisions in generating causal explanations (i.e., why did a premise/hypothesis pair as input lead to their inference relation as output?). As layerbased langu age models can learn language structure information, this paper conducts a sampl e-by-sample analysis of the linguistic feature relation between premise and hypo thesis that is expected to guide NLI modeling and interpretation better. Our emp irical study verifies that the linguistic feature relation of premise/hypothesis pairs can be seen in NLI inference models, which can be used to interpret infer ence samples.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics - Robotics and Automation is now available. According to news reporting originating in Stanfor d, California, by NewsRx journalists, research stated, “Multi-object tracking (M OT) is a cornerstone capability of any robotic system. Tracking quality is large ly dependent on the quality of input detections.” Financial support for this research came from Toyota Research Institute.
查看更多>>摘要：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 from Beijing, People’s Repub lic of China, by NewsRx journalists, research stated, “As a natural disaster, ex treme precipitation is among the most destructive and influential, but predictin g its occurrence and evolution accurately is very challenging because of its rar ity and uniqueness. Taking the example of the ‘21 center dot 7’ extreme precipit ation event (17-21 July 2021) in Henan Province, this study explores the potenti al of using physics-guided machine learning to improve the accuracy of forecasti ng the intensity and location of extreme precipitation.” Funders for this research include National Key RD Project, National Natural Scie nce Foundation of China (NSFC), CMA Innovation Foundation, Open Grants of the St ate Key Laboratory of Severe Weather, Key Foundation of Zhejiang Provincial Depa rtment of Science and Technology.
查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Artificial Intelligence is the su bject of a report. According to news reporting out of Porto, Portugal, by NewsRx editors, research stated, “Antimicrobial resistance (AMR) is a growing public h ealth problem in the One Health dimension. Artificial intelligence (AI) is emerg ing in healthcare, since it is helpful to deal with large amounts of data and as a prediction tool.” Financial support for this research came from FCT and IP.
查看更多>>摘要：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 reporting originating in Stockholm, Swe den, by NewsRx journalists, research stated, “This study aimed to investigate tu mor heterogeneity of colorectal liver metastases (CRLM) and stratify the patient s into different risk groups of prognoses following liver resection by applying an unsupervised radiomics machinelearning approach to preoperative CT images. T his retrospective study retrieved clinical information and CT images of 197 pati ents with CRLM from The Cancer Imaging Archive (TCIA) database.”
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 Machine Learn ing - Intelligent Systems have been published. According to news reporting from Sichuan, People’s Republic of China, by NewsRx journalists, research stated, “Th e significance of facial anti-spoofing algorithms in enhancing the security of f acial recognition systems cannot be overstated. Current approaches aim to compen sate for the model’s shortcomings in capturing spatial information by leveraging spatio-temporal information from multiple frames.” Funders for this research include National Natural Science Foundation of China ( NSFC), National Natural Science Foundation of China (NSFC), Fundamental Research Funds for the Central Universities (University of Electronic Science and Techno logy of China).
查看更多>>摘要：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 in Pittsburgh, P ennsylvania, by NewsRx journalists, research stated, “Design of highperformance oxygen carrier materials plays a crucial role in chemical -looping applications . Perovskite-type ABO3 oxides have received significant attention due to their h igh thermal and mechanical stability and high oxygen mobility.” Financial supporters for this research include United States Department of Energ y (DOE), National Energy Technology Laboratory (NETL) Research & I nnovation Center’s Advanced Reaction Systems, NETL Advanced Reaction Systems fie ld work proposal (FWP).
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 Ar tificial Intelligence. According to news reporting out of Gandhinagar, India, by NewsRx editors, research stated, “Motivated by the growing significance of sola r energy, the paper presents the findings of the maiden study on the long-term s easonal performance assessment of three PV module technologies-monocrystalline ( m-Si), polycrystalline (p-Si), and amorphous silicon (a-Si) housed in a 1 MW sol ar plant installed at a local steppe climate in Gandhinagar, Gujarat, India usin g the key performance indicators (KPIs), daily power generation, final yield (Yf ), reference yield (Yr), total energy loss (TEL) and performance ratio (PR). Not ably, the am-Si PV modules were found to be the best performing technology, with an average PR of 71.26% and the lowest average total energy loss of 631 h during the monitored period.”
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