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001438889 001__ 1438889
001438889 003__ OCoLC
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001438889 020__ $$a9783030845322$$q(electronic bk.)
001438889 020__ $$a303084532X$$q(electronic bk.)
001438889 020__ $$z9783030845315
001438889 0247_ $$a10.1007/978-3-030-84532-2$$2doi
001438889 035__ $$aSP(OCoLC)1263872421
001438889 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dGW5XE$$dOCLCO$$dOCLCF$$dOCLCQ$$dCOM$$dOCLCO$$dN$T$$dOCLCQ
001438889 049__ $$aISEA
001438889 050_4 $$aQ342$$b.I58 2021
001438889 08204 $$a006.3$$223
001438889 1112_ $$aInternational Conference on Intelligent Computing$$n(17th :$$d2021 :$$cShenzhen, China)
001438889 24510 $$aIntelligent computing theories and application :$$b17th international conference, ICIC 2021, Shenzhen, China, August 12-15, 2021 : proceedings.$$nPart III /$$cDe-Shuang Huang, Kang-Hyun Jo, Jianqiang Li, Valeriya Gribova, Prashan Premaratne (eds.).
001438889 24630 $$aICIC 2021
001438889 264_1 $$aCham :$$bSpringer,$$c[2021]
001438889 264_4 $$c©2021
001438889 300__ $$a1 online resource (683 pages) :$$billustrations (some color)
001438889 336__ $$atext$$btxt$$2rdacontent
001438889 337__ $$acomputer$$bc$$2rdamedia
001438889 338__ $$aonline resource$$bcr$$2rdacarrier
001438889 4901_ $$aLecture notes in computer science. Lecture notes in artificial intelligence ;$$v12838
001438889 4901_ $$aLNCS sublibrary: SL7 - Artificial intelligence
001438889 500__ $$aInternational conference proceedings.
001438889 500__ $$aIncludes author index.
001438889 5050_ $$aArtificial Intelligence in Real World Applications -- Task-oriented Snapshot Network Construction of Stock Market -- Analysis of elimination algorithm based on curve self-intersection -- Towards AI-based Reaction and Mitigation for e-commerce -- the ENSURESEC Engine -- Arabic Light Stemmer Based on ISRI Stemmer -- Biomedical Informatics Theory and Methods -- Predicting miRNA-disease associations via a new MeSH headings representation of diseases and eXtreme Gradient Boosting -- Social Media Adverse Drug Reaction Detection based on Bi-LSTM with Multi-head Attention Mechanism -- HOMC: a hierarchical clustering algorithm based on optimal low rank matrix completion for single cell analysis -- mzMD: A new storage and retrieval system for mass spectrometry data -- Drug-target Interaction Prediction via Multiple Output Graph Convolutional Networks -- Inversion of k-nearest neighbours algorithm for extracting SNPs discriminating human populations -- ComPAT: a comprehensive pathway analysis tools -- Incorporating Knowledge Base for Deep Classification of Fetal Heart Rate -- Review of methods for data collection experiments with people with dementia and the impact of COVID-19 -- KGRN: Knowledge Graph Relational Path Network for Target Prediction of TCM Prescriptions -- Challenges in data capturing and collection for physiological detection of dementia-related difficulties and proposed solutions -- Exploring multi-scale temporal and spectral CSP feature for multi-class motion imagination task classification -- Gingivitis detection by Wavelet Energy Entropy and Linear Regression Classifier -- Decomposition-and-Fusion Network for HE-stained Pathological Image Classification -- Complex Diseases Informatics -- A novel approach for predicting microbe-disease associations by structural perturbation method -- A reinforcement learning-Based model for Human microRNA-disease association prediction -- Delineating QSAR descriptors to explore the inherent properties of naturally occurring polyphenols, responsible for alpha-synuclein amyloid disaggregation scheming towards effective therapeutics against Parkinson's disorder -- Study on the mechanism of Cistanche in the treatment of colorectal cancer based on network pharmacology -- A Novel Hybrid Machine Learning Approach Using Deep Learning for the Prediction of Alzheimer Disease Using Genome Data -- Prediction of Heart Disease Probability Based on Various Body Function -- Classification of Pulmonary Diseases from X-ray Images Using a Convolutional Neural Network -- Predicting lncRNA-disease associations based on tensor decomposition method -- AI in Skin Cancer Detection -- MiRNA-Disease Associations Prediction based on Neural Tensor Decomposition -- Gene Regulation Modeling and Analysis -- SHDC: A Method of Similarity Measurement Using Heat Kernel based on Denoising for Clustering scRNA-seq Data -- Research on RNA Secondary Structure Prediction Based on MLP -- Inference of Gene Regulatory Network from Time Series Expression Data by Combining Local Geometric Similarity and Multivariate Regression -- Deep Convolution Recurrent Neural Network for Predicting RNA-Protein Binding Preference in mRNA UTR region -- Joint Association Analysis Method to Predict Genes Related to Liver Cancer -- A Hybrid Deep Neural Network for the Prediction of in-vivo Protein-DNA Binding by combining multiple-instance learning -- Using deep learning to predict transcription factor binding sites combining raw DNA sequence, evolutionary information and epigenomic data -- An abnormal gene detection method based on Selene -- A method for constructing an integrative network of competing endogenous RNAs -- Intelligent Computing in Computational Biology -- Detection of Drug-drug Interactions through Knowledge Graph Integrating Multi-attention with Capsule Network -- SCEC: A Novel Single-Cell Classification Method Based on Cell-Pair Ensemble Learning -- ICNNMDA: An Improved Convolutional Neural Network for Predicting miRNA-disease Associations -- DNA-GCN: Graph convolutional networks for predicting DNA-protein binding -- Weighted Nonnegative Matrix Factorization based on Multi-Source Fusion Information for Predicting CircRNA-Disease Associations -- ScSSC: semi-supervised single cell clustering based on 2D embedding -- SNEMO: Spectral Clustering Based on the Neighborhood for Multi-omics Data -- Covid-19 detection by Wavelet Entropy and Jaya -- An ensemble learning algorithm for predicting HIV-1 protease cleavage sites -- RWRNCP: Random Walking with Restart based Network Consistency Projection for Predicting miRNA-disease Association -- MELPMDA: A New Method Based on Matrix Enhancement and Label Propagation for Predicting miRNA-disease Association -- Prognostic prediction for non-small-cell lung cancer based on deep neural network and multimodal data -- Drug-Target Interactions Prediction with Feature Extraction Strategy Based on Graph Neural Network -- CNNEMS: Using Convolutional Neural Networks to Predict Drug-Target Interactions by Combining Protein Evolution and Molecular Structures Information -- A multi-graph deep learning model for predicting drug-disease associations -- Predicting Drug-disease Associations Based on Network Consistency Projection -- An efficient computational method to predict drug-target interactions utilizing matrix completion and linear optimization method -- Protein Structure and Function Prediction -- Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation -- DNA-Binding Protein Prediction Based on Deep Learning Feature Fusion -- Membrane Protein identification via multiple kernel fuzzy SVM -- Golgi Protein Prediction with Deep Forest -- Prediction of protein-protein interaction based on deep learning feature representation and random forest.-
001438889 506__ $$aAccess limited to authorized users.
001438889 520__ $$aThis two-volume set of LNCS 12836 and LNCS 12837 constitutes - in conjunction with the volume LNAI 12838 - the refereed proceedings of the 17th International Conference on Intelligent Computing, ICIC 2021, held in Shenzhen, China in August 2021. The 192 full papers of the three proceedings volumes were carefully reviewed and selected from 458 submissions. The ICIC theme unifies the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. The theme for this conference is Advanced Intelligent Computing Methodologies and Applications. The papers are organized in the following subsections: Artificial Intelligence in Real World Applications, Biomedical Informatics Theory and Methods, Complex Diseases Informatics, Gene Regulation Modeling and Analysis, Intelligent Computing in Computational Biology, and Protein Structure and Function Prediction.
001438889 588__ $$aDescription based on print version record.
001438889 650_0 $$aComputational intelligence$$vCongresses.
001438889 650_0 $$aComputer algorithms$$vCongresses.
001438889 650_0 $$aExpert systems (Computer science)$$vCongresses.
001438889 650_6 $$aIntelligence informatique$$vCongrès.
001438889 650_6 $$aAlgorithmes$$vCongrès.
001438889 650_6 $$aSystèmes experts (Informatique)$$vCongrès.
001438889 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001438889 655_7 $$aConference papers and proceedings.$$2lcgft
001438889 655_7 $$aActes de congrès.$$2rvmgf
001438889 655_0 $$aElectronic books.
001438889 7001_ $$aHuang, De-Shuang,$$eeditor.
001438889 7001_ $$aJo, Kang-Hyun,$$eeditor.
001438889 7001_ $$aLi, Jianqiang,$$eeditor.
001438889 7001_ $$aGribova, Valeriya,$$eeditor.
001438889 7001_ $$aPremaratne, Prashan,$$eeditor.
001438889 77608 $$iPrint version:$$aHuang, De-Shuang.$$tIntelligent Computing Theories and Application.$$dCham : Springer International Publishing AG, ©2021$$z9783030845315
001438889 830_0 $$aLecture notes in computer science ;$$v12838.
001438889 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001438889 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001438889 852__ $$bebk
001438889 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-84532-2$$zOnline Access$$91397441.1
001438889 909CO $$ooai:library.usi.edu:1438889$$pGLOBAL_SET
001438889 980__ $$aBIB
001438889 980__ $$aEBOOK
001438889 982__ $$aEbook
001438889 983__ $$aOnline
001438889 994__ $$a92$$bISE