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    Investigators from Shanghai Ocean University Zero in on Artificial Intelligence (Multi-step Ahead Dissolved Oxygen Concentration Prediction Based On Knowledge G uided Ensemble Learning and Explainable Artificial Intelligence)

    59-59页
    查看更多>>摘要: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 Shanghai, P eople’s Republic of China, by NewsRx correspondents, research stated, “Accurate water quality prediction is crucial for effective environmental management and d ecisionmaking. However, previous studies have solely relied on historical data to simulate water quality, overlooking the potential discrepancies between predi cted values and actual observations.” Funders for this research include Open Fund of Key Laboratory of Sediment Scienc e and Northern River Training, Ministry of Water Resources, China Institute of W ater Resources and Hydropower Research.

    University Hospital Basel Reports Findings in Artificial Intelligence [A deep-learning-based model for assessment of autoimmune hepatitis from histolog y: AI(H)]

    60-61页
    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 report. According to news reporting originating from Basel , Switzerland, by NewsRx correspondents, research stated, “Histological assessme nt of autoimmune hepatitis (AIH) is challenging. As one of the possible results of these challenges, nonclassical features such as bile-duct injury stays unders tudied in AIH.” Financial supporters for this research include Novartis Institutes for BioMedica l Research, University of Basel.

    New Findings from University of Manchester in the Area of Robotics Reported (Dev elopment of a Mobile 3d Printer and Comparative Evaluation Against Traditional G antry Systems)

    61-61页
    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 reporting originating from Manchester, United Kingdom, by NewsRx correspondents, research stated, “Fixed robots have dominated the mar ket of additive manufacturing (AM), despite presenting several limitations, such as the stationary nature of these robots and the limited workspace. Mobile robo ts solve these problems as they can move freely in the printing area without bei ng rooted to the ground.” Funders for this research include Engineering & Physical Sciences Research Council (EPSRC), UKRI Interdisciplinary Circular Economy for Textiles: Circular Bioeconomy for textile materials.

    University of Duhok Researcher Reports on Findings in Robotics (A Comprehensive Framework for Integrating Robotics and Digital Twins in Facade Perforation)

    62-63页
    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 reporting from the University of Duhok by NewsRx journ alists, research stated, “In contemporary design practices, the conflict between initial design approaches and subsequent manufacturing and construction stages presents a notable challenge.” The news reporters obtained a quote from the research from University of Duhok: “To address this disparity, our study aims to establish a comprehensive digital design workflow, bridging these gaps. The authors introduce a conceptual framewo rk that seamlessly integrates the imperatives of LEED with the realm of robotic manufacturing, specifically tailored for construction sites. The proposed method ology encompasses four distinct iFOBOT modules: iFOBOT-environment, iFOBOT-desig n, iFOBOT-construct, and iFOBOT-monitor. The integration of these modules allows for a holistic approach to design and construction, fostering efficient collabo ration between multidisciplinary teams. To validate the efficacy of the author’s approach, we conducted an empirical study involving the creation of a double-sk in facade panel perforation using this integrated process. Initial findings emph asize the enhanced constructability achieved through simulated robotic intervent ions utilizing a heuristic function.”

    Institute of Software Researchers Detail Research in Symmetric Cryptology (A Fra mework to Improve the Implementations of Linear Layers)

    62-62页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on symmetric cryptology is the subje ct of a new report. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “This paper presents a novel a pproach to optimizing the linear layer of block ciphers using the matrix decompo sition framework.” Our news editors obtained a quote from the research from Institute of Software: “It is observed that the reduction properties proposed by Xiang et al. (in FSE 2 020) need to be improved. To address these limitations, we propose a new reducti on framework with a complete reduction algorithm and swapping algorithm. Our app roach formulates matrix decomposition as a new framework with an adaptive object ive function and converts the problem to a Graph Isomorphism problem (GI problem ). Using the new reduction algorithm, we were able to achieve lower XOR counts a nd depths of quantum implementations under the s-XOR metric. Our results outperf orm previous works for many linear layers of block ciphers and hash functions; s ome of them are better than the current g-XOR implementation.”

    Reports Summarize Chemical Engineering Study Results from School of Technology ( Exploring Machine Learning Applications In Chemical Production Through Valorizat ion of Biomass, Plastics, and Petroleum Resources: a Comprehensive Review)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Engineering - Che mical Engineering are discussed in a new report. According to news originating f rom Gujarat, India, by NewsRx correspondents, research stated, “Machine learning (ML) is a subtype of artificial intelligence that uses a computer’s ability to learn from a given set of accessible data. ML is becoming prominent in almost ev ery business, including the domain of chemical engineering, where there have bee n numerous researches and investigations.” Our news journalists obtained a quote from the research from the School of Techn ology, “This article provides a detailed overview of the use of ML in the produc tion and characterization study of biomass, polymers, and petroleum products. Ca tegories of ML, including classification, regression, and clustering, are also i nvestigated to get a deeper understanding of ML. From this review, it can be con cluded that ML has aided in numerous domains, such as the prediction of biomass energy, the stability of crude oil based on NMR spectroscopy, the calculation of gasoline’s octane number, the estimation of fuel oil’s kinematic viscosity, the classification of waste plastics, and the estimation of drilling efficiency in petroleum reservoirs, among others. Apart from this, ML has also been playing a significant role in the microwaveassisted pyrolysis of biomass, polymers, and p etroleum resources. ML substantially influences chemical engineering and is espe cially useful for enhancing system efficiency and monitoring processes that are difficult to understand manually.”

    Study Results from Guangxi University Broaden Understanding of Machine Learning (The influence of service performance in China’s sci-tech commissioner system: U sing social network analysis and interpretable machine learning)

    64-65页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on artificial in telligence. According to news reporting from Nanning, People’s Republic of China , by NewsRx journalists, research stated, “The Sci-Tech Commissioner System (SCS ) is a result of exploratory efforts by the Chinese government to use science an d technology to strengthen the agricultural sector.” Funders for this research include Chinese National Funding of Social Sciences.

    New Findings in Robotics Described from Queensland University of Technology (QUT ) (Towards Assessing Compliant Robotic Grasping From First-object Perspective Vi a Instrumented Objects)

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting out of Brisbane, Australia, by NewsRx editors, research stated, “Grasping compliant objects is difficult for robots - applying too little force may cause the grasp to fail, while too much force may lead to object damage. A robot needs to apply the right amount of force to quic kly and confidently grasp the objects so that it can perform the required task.” Financial support for this research came from ECR/MCR Scheme of the Queensland U niversity of Technology.

    University Hospital Reports Findings in Artificial Intelligence (Using artificia l intelligence and deep learning to optimise the selection of adult congenital h eart disease patients in S-ICD screening)

    66-67页
    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 report. According to news originating from Cambridge, Unit ed Kingdom, by NewsRx correspondents, research stated, “The risk of complication s associated with transvenous ICDs make the subcutaneous implantable cardiac def ibrillator (S-ICD) a valuable alternative in patients with adult congenital hear t disease (ACHD). However, higher S-ICD ineligibility and higher inappropriate s hock rates-mostly caused by T wave oversensing (TWO)- are observed in this popul ation.” Our news journalists obtained a quote from the research from University Hospital , “We report a novel application of deep learning methods to screen patients for S-ICD eligibility over a longer period than conventional screening. Adult patie nts with ACHD and a control group of normal subjects were fitted with a 24-h Hol ters to record their S-ICD vectors. Their T:R ratio was analysed utilising phase space reconstruction matrices and a deep learning-based model to provide an in- depth description of the T: R variation plot for each vector. T: R variation was compared statistically using t-test. 13 patients (age 37.4 ± 7.89 years, 61.5 % male, 6 ACHD and 7 control subjects) were enrolled. A significant difference was observed in the mean and median T: R values between the two groups (p <0.001). There was also a significant difference in the standard deviation of T: R between both groups (p = 0.04). T:R ratio, a main determinant for S-ICD eligi bility, is significantly higher with more tendency to fluctuate in ACHD patients when compared to a population with normal hearts.”

    New Support Vector Machines Study Findings Reported from Lanzhou University of T echnology (Identification of Market Power Abuse In Chinese Electricity Market Ba sed On an Improved Costsensitive Support Vector Machine)

    67-68页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Support Vector Machin es have been presented. According to news reporting originating from Lanzhou, Pe ople’s Republic of China, by NewsRx correspondents, research stated, “Accurate a nd real-time identification of market power abuse is a key task in the managemen t of electricity market violations. However, there are few effective monitoring methods for extremely imbalanced datasets and progressively increasing amounts o f data in actual market transactions.” Funders for this research include National Natural Science Foundation of China ( NSFC), Gansu Provincial Science and Technology Program, Gansu Education Departme nt: Postgraduate “Innovation Star” Project.