云南高校图书馆联盟文献共享服务平台- CATION

CATION: 作品数：676被引量：1271H指数：12; 导出分析报告; 相关领域：理学更多>>; 相关作者：李晓琴乔辉单安山徐海松刘岳更多>>; 相关机构：东北农业大学中国科学院国防科学技术大学北京大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金北京市自然科学基金更多>>

Deep LearningModel for Big Data Classification in Apache Spark Environment: 《Intelligent Automation & Soft Computing》2023年第9期2537-2547,共11页T.M.Nithya R.Umanesan T.Kalavathidevi C.Selvarathi A.Kavitha; Big data analytics is a popular research topic due to its applicability in various real time applications.The recent advent of machine learning and deep learning models can be applied to analyze big data with better p...; 关键词：Big data apache spark classiﬁcation feature selection gated recurrent unit adam optimizer

A Non-Singleton Type-3 Fuzzy Modeling: Optimized by Square-Root Cubature Kalman Filter被引量：1: 《Intelligent Automation & Soft Computing》2023年第7期17-32,共16页Aoqi Xu Khalid A.Alattas Nasreen Kausar Ardashir Mohammadzadeh Ebru Ozbilge Tonguc Cagin; supported by the project of the National Social Science Fundation(21BJL052,20BJY020,20BJL127,19BJY090);the 2018 Fujian Social Science Planning Project(FJ2018B067);The Planning Fund Project of Humanities and Social Sciences Research of the Ministry of Education in 2019(19YJA790102),The grant has been received by Aoqi Xu.; In many problems,to analyze the process/metabolism behavior,a mod-el of the system is identiﬁed.The main gap is the weakness of current methods vs.noisy environments.The primary objective of this study is to present a...; 关键词：MODELING computational intelligence fuzzy logic systems MODELING identiﬁcation deep learning type-3 fuzzy systems optimization

Parkinson’s Disease Classification Using Random Forest Kerb Feature Selection: 《Intelligent Automation & Soft Computing》2023年第5期1417-1433,共17页E.Bharath T.Rajagopalan; Parkinson’s disease(PD)is a neurodegenerative disease cause by a deﬁciency of dopamine.Investigators have identiﬁed the voice as the underlying symptom of PD.Advanced vocal disorder studies provide adequate treatment...; 关键词：Parkinson’s disease machine learning healthcare random forest feature selection CLASSIFICATION

Multi Class Brain Cancer Prediction System Empowered with BRISK Descriptor: 《Intelligent Automation & Soft Computing》2023年第5期1507-1521,共15页Madona B.Sahaai G.R.Jothilakshmi E.Praveen V.Hemath Kumar; Magnetic Resonance Imaging(MRI)is one of the important resources for identifying abnormalities in the human brain.This work proposes an effective Multi-Class Classiﬁcation(MCC)system using Binary Robust Invariant Scal...; 关键词：Braincancer BRISKdescriptor randomforest multi-classclassiﬁcation brain image analysis

SNCDM: Spinal Tumor Detection from MRI Images Using Optimized Super-Pixel Segmentation: 《Intelligent Automation & Soft Computing》2023年第5期1899-1913,共15页T.Merlin Inbamalar Dhandapani Samiappan R.Ramesh; Conferring to the American Association of Neurological Surgeons(AANS)survey,85%to 99%of people are affected by spinal cord tumors.The symptoms are varied depending on the tumor’s location and size.Up-to-the-min-ute,b...; 关键词：Maximum error-classiﬁcation problem optimized convolution network super-pixel analytics numerical characteristics disintegration model(SNCDM)

Intelligent Risk-Identification Algorithm with Vision and 3D LiDAR Patterns at Damaged Buildings: 《Intelligent Automation & Soft Computing》2023年第5期2315-2331,共17页Dahyeon Kim Jiyoung Min Yongwoo Song Chulsu Kim Junho Ahn; supported by Basic Science Research Program through the National Research Foundation of Korea funded by the Ministry of Education(No.2020R1I1A3068274),Received by Junho Ahn.https://www.nrf.re.kr/;supported by the Korea Agency for Infrastructure Technology Advancement(KAIA)by the Ministry of Land,Infrastructure and Transport under Grant(No.22QPWO-C152223-04),Received by Chulsu Kim.https://www.kaia.re.kr/.; Existingﬁreﬁghting robots are focused on simple storage orﬁre sup-pression outside buildings rather than detection or recognition.Utilizing a large number of robots using expensive equipment is challenging.This study ...; 关键词：Three-dimension light detection and ranging VISION risk identiﬁcation damaged building robot

Breast Cancer Detection Using Breastnet-18 Augmentation with Fine Tuned Vgg-16: 《Intelligent Automation & Soft Computing》2023年第5期2363-2378,共16页S.J.K.Jagadeesh Kumar P.Parthasarathi Mofreh A.Hogo Mehedi Masud Jehad F.Al-Amri Mohamed Abouhawwash; supporting project number(TURSP-2020/211),Taif University,Taif,Saudi Arabia.; Women from middle age to old age are mostly screened positive for Breast cancer which leads to death.Times over the past decades,the overall sur-vival rate in breast cancer has improved due to advancements in early-st...; 关键词：Deep learning classiﬁcation data augmentation feature extraction the fusion of features breast cancer optimization classiﬁcation

Word Sense Disambiguation Based Sentiment Classification Using Linear Kernel Learning Scheme: 《Intelligent Automation & Soft Computing》2023年第5期2379-2391,共13页P.Ramya B.Karthik; Word Sense Disambiguation has been a trending topic of research in Natural Language Processing and Machine Learning.Mining core features and performing the text classiﬁcation still exist as a challenging task.Here the...; 关键词：Text classiﬁcation word sense disambiguation kernel support vector machine learning algorithm cuckoo search optimization feature extraction

Hybrid Convolutional Neural Network for Plant Diseases Prediction: 《Intelligent Automation & Soft Computing》2023年第5期2393-2409,共17页S.Poornima N.Sripriya Adel Fahad Alrasheedi S.S.Askar Mohamed Abouhawwash; Supporting Project Number(RSP-2021/323),King Saud University,Riyadh,Saudi Arabia。; Plant diseases prediction is the essential technique to prevent the yield loss and gain high production of agricultural products.The monitoring of plant health continuously and detecting the diseases is a signiﬁcant f...; 关键词：Disease detection people detection image classiﬁcation deep learning region based convolutional neural network

Auxiliary Classifier of Generative Adversarial Network for Lung Cancer Diagnosis: 《Intelligent Automation & Soft Computing》2023年第5期2177-2189,共13页P.S.Ramapraba P.Epsiba K.Umapathy E.Sivanantham; The classiﬁcation of lung nodules is a challenging problem as the visual analysis of the nodules and non-nodules revealed homogenous textural patterns.In this work,an Auxiliary Classiﬁer(AC)-Generative Adversarial Net...; 关键词：Lung cancer generative adversarial network auxiliary classiﬁer image classiﬁcation system deep learning

CATION