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    New Machine Learning Data Have Been Reported by Researchers at Gansu Agricultural University (Comparison of the Hybrid of Radiative Transfer Model and Machine Learning Methods In Leaf Area Index of Grassland Mapping)

    40-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Current studyresults on Machine Learning have been published. According to news reporting originating in Lanzhou,People’s Republic of China, by NewsRx journalists, research stated, “The leaf area index (LAI) of grasslandis critical for estimating the balance of livestock and livestock production, understanding the dynamics ofclimate change, and providing feedback for achieving sustainable development. The currently available LAIproducts have some uncertainties and need to be further improved.”

    New Networks Study Results from North University of China Described (Improvement of Low-frequency Ultrasonic Image Quality Using a Enhanced Convolutional Neural Network)

    41-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Fresh data onNetworks are presented in a new report. According to news reporting out of Taiyuan, People’s Republic ofChina, by NewsRx editors, research stated, “Ultrasound has become an indispensable clinical scanning anddiagnostic tool because of its convenience, rapidity, and radiation-free properties. In ultrasound imaging, theresolution and detection depth of ultrasound images are closely related to the frequency of the transmittedultrasound.”Funders for this research include National Natural Science Foundation of China (NSFC), Key R&DProgram of the Ministry of Science and Technology, Fund for Shan xi ‘1331 Project’ Key Subject Construction.

    Data on Marine Science and Engineering Detailed by a Researcher at Chinese Academy of Sciences (Robust Underwater Acoustic Channel Estimation Method Based on Bias-Free Convolutional Neural Network)

    42-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Data detailed onmarine science and engineering have been presented. According to news originating from Beijing, People’sRepublic of China, by NewsRx editors, the research stated, “In recent years, the study of deep learningtechniques for underwater acoustic channel estimation has gained widespread attention.”Financial supporters for this research include China Scholarship Council; Chinese Academy of Sciences;Cas Specific Research Assistant Funding Program; National Natural Science Foundation of China.

    Investigators from Northeast Petroleum University Have Reported New Data on Engineering (Seismic Velocity Inversion Based On Physically Constrained Neural Networks)

    43-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Current studyresults on Engineering have been published. According to news reporting originating from Daqing, People’sRepublic of China, by NewsRx correspondents, research stated, “The propagation velocity of seismic wavesis a crucial parameter in seismic exploration, encompassing the entire process of seismic data acquisition,processing, and interpretation. Traditional model-driven full-waveform inversion (FWI) methods, whichrely on an initial velocity, suffer from low computational efficiency.”

    New Findings from University of Sciences and Technology Houari Boumediene in the Area of Networks Described (Open Writer Identification From Handwritten Text Fragments Using Lite Convolutional Neural Network)

    44-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on Networks. According to news reporting originating in Algiers, Algeria, by NewsRxjournalists, research stated, “Usually, a writer identification system based on the convolutional neuralnetwork (CNN) is designed as a closed system, which is composed of many convolutional layers trainedoften on the entire document for achieving a high performance but requiring a high computation cost. Thispaper proposes an open writer identification system using a lite CNN composed of only four convolutionallayers for extracting features from text fragments.”

    Investigators from Chinese Academy of Sciences Have Reported New Data on Geoscience and Remote Sensing (Deepblue: Advanced Convolutional Neural Network Applications for Ocean Remote Sensing)

    45-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Fresh dataon Science-Geoscience and Remote Sensing are presented in a new report. According to news reportingoriginating from Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “Inthe last 40 years, remote sensing technology has evolved, significantly advancing ocean observation andcatapulting its data into the big data era. How to efficiently and accurately process and analyze ocean bigdata and solve practical problems based on ocean big data constitute a great challenge.”Funders for this research include National Natural Science Foundation of China (NSFC), ChineseAcademy of Sciences.

    New Networks Study Findings Recently Were Reported by Researchers at Beihang University (Transmission Reliability Evaluation of the Wireless Mobile Ad Hoc Network Considering the Routing Protocol and Randomness of Channel Capacity)

    46-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Researchersdetail new data in Networks. According to news reporting out of Beijing, People’s Republic of China,by NewsRx editors, research stated, “Due to the characteristics of self-organization, flexibility, and lowcost, Mobile ad hoc networks (MANETs) have been applied in many fields, such as disaster rescues andmilitary actions. However, in reality, the successful route establishment based on routing protocols is theprerequisite of data transmission.”

    Data on Lung Diseases and Conditions Discussed by Researchers at Manipal Academy of Higher Education (An Efficient Lung Image Classification and Detection Using Spiral-optimized Gabor Filter With Convolutional Neural Network)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Fresh data onRespiratory Tract Diseases and Conditions-Lung Diseases and Conditions are presented in a new report.According to news reporting from Manipal, India, by NewsRx journalists, research stated, “Lung cancerhas a high death rate of around seven million cases every year worldwide. A computed tomography (CT)scan provides certain essential data concerning lung diseases and their diagnosis.”Financial support for this research came from Manipal Academy of Higher Education, Manipal andVellore Institute of Technology, Chennai.The news correspondents obtained a quote from the research from the Manipal Academy of HigherEducation, “The main objective of this work is to classify various lung diseases such as Normal, Bronchiectasis,and Pleural Effusion. The proposed approach consists of three stages, namely pre-processing, featureextraction, and classification. At first, CT lung images are collected from the dataset and pre-processed.After pre-processing, the important texture features are extracted from each image. For feature extraction,spiral-optimized Gabor filter (SOGF) is utilized. The proposed SOGF is a combination of spiral optimizationalgorithm (SOA) and Gabor filter (GF). Then, the extracted features are given to the convolutional neuralnetwork (CNN) to classify different types of lung diseases. For comparison, we use different classifiers,namely artificial neural network (ANN), Random Tree, and the Naive Bayes.”

    Studies from Nanchang University Describe New Findings in Machine Learning (Solving Inverse Problems With Sparse Noisy Data, Operator Splitting and Physics-constrained Machine Learning)

    48-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Fresh dataon Machine Learning are presented in a new report. According to news reporting originating in Jiangxi,People’s Republic of China, by NewsRx journalists, research stated, “Inverse problems are fundamentalin tasks like computer vision, where model parameters need to be estimated from observable data. Wepropose a novel approach that combines physics-constrained deep learning with automatic differentiation(AD) to tackle inverse problems in such as computer vision.”Funders for this research include Basic and Applied Basic Research Foundation of Guangdong Province,Guangdong Basic and Applied Basic Research Foundation.

    Findings in the Area of Networks Reported from Qingdao University (Optimized Injection of Noise In Activation Functions To Improve Generalization of Neural Networks)

    49-49页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Network Daily News - Researchfindings on Networks are discussed in a new report. According to news reporting from Qingdao, People’sRepublic of China, by NewsRx journalists, research stated, “This paper proposes a flexible probabilisticactivation function that enhances the training and operation of artificial neural networks by intentionallyinjecting noise to gain additional control over the response of each neuron. During the learning phase, thelevel of injected noise is iteratively optimized by gradient-descent, realizing a form of adaptive stochasticresonance.”