Atnaujinkite slapukų nuostatas

El. knyga: Intelligent Computing Theories and Application: 17th International Conference, ICIC 2021, Shenzhen, China, August 12-15, 2021, Proceedings, Part II

Edited by , Edited by , Edited by , Edited by , Edited by
  • Formatas: EPUB+DRM
  • Serija: Lecture Notes in Computer Science 12837
  • Išleidimo metai: 09-Aug-2021
  • Leidėjas: Springer Nature Switzerland AG
  • Kalba: eng
  • ISBN-13: 9783030845292
  • Formatas: EPUB+DRM
  • Serija: Lecture Notes in Computer Science 12837
  • Išleidimo metai: 09-Aug-2021
  • Leidėjas: Springer Nature Switzerland AG
  • Kalba: eng
  • ISBN-13: 9783030845292

DRM apribojimai

  • Kopijuoti:

    neleidžiama

  • Spausdinti:

    neleidžiama

  • El. knygos naudojimas:

    Skaitmeninių teisių valdymas (DRM)
    Leidykla pateikė šią knygą šifruota forma, o tai reiškia, kad norint ją atrakinti ir perskaityti reikia įdiegti nemokamą programinę įrangą. Norint skaityti šią el. knygą, turite susikurti Adobe ID . Daugiau informacijos  čia. El. knygą galima atsisiųsti į 6 įrenginius (vienas vartotojas su tuo pačiu Adobe ID).

    Reikalinga programinė įranga
    Norint skaityti šią el. knygą mobiliajame įrenginyje (telefone ar planšetiniame kompiuteryje), turite įdiegti šią nemokamą programėlę: PocketBook Reader (iOS / Android)

    Norint skaityti šią el. knygą asmeniniame arba „Mac“ kompiuteryje, Jums reikalinga  Adobe Digital Editions “ (tai nemokama programa, specialiai sukurta el. knygoms. Tai nėra tas pats, kas „Adobe Reader“, kurią tikriausiai jau turite savo kompiuteryje.)

    Negalite skaityti šios el. knygos naudodami „Amazon Kindle“.

This 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: Intelligent Computing in Computer Vision, Intelligent Control and Automation, Intelligent Modeling Technologies for Smart Cities, Machine Learning, and Theoretical Computational Intelligence and Applications.
Intelligent Computing in Computer Vision.- BIDGAN: Blind Image
Deblurring with Improved CycleGAN and Frequency Filtering.- Emotional
interaction computing of actors in the mass incidents.- Multi Spatial
Convolution Block for Lane Lines Semantic Segmentation.- VISFF: An Approach
for Video Summarization Based on Feature Fusion.- Understanding Safety Based
on Urban Perception.- Recognition of Multiple Panamanian Watermelon Varieties
Based on Feature Extraction Analysis.- Javier E. Sįnchez-Galįn, Anel Henry,
Fatima Rangel, Emmy Sįez, Kang-Hyun Jo and Danilo Cįceres-Hernįndez.-
STDA-inf: Style Transfer for Data Augmentation Through In-data Training and
Fusion Inference.- Abnormal Driving Detection Based on Human Pose Estimation
and Facial Key Points Detection.- Uncertainty-guided pixel-level contrastive
learning for biomarker segmentation in OCT images.- Wall-following Navigation
for Mobile Robot Based on Random Forest and Genetic Algorithm.- A study of
algorithms for controllingthe precision of bandwidth in EMI pre-testing.-
Intelligent Control and Automation.- Flight Control for 6-DOF Quadrotor via
Sliding Mode Integral Filter.- An Enhanced Finite-Control-Set Model
Predictive Control Strategy for PWM Rectifiers with Filter Inductance
Mismatch.- Deep Integration Navigation Technique Based on Strong Tracking UKF
Algorithm.- The Application of Theoretical Variance#1 Method and Lifting
Wavelet for Optic Gyroscopes.- Proposing a Novel Fixed-Time Non-Singular
Terminal Sliding Mode Surface for Motion Tracking Control of Robot
Manipulators   .- A Neural Terminal Sliding Mode Control for tracking control
of robotic manipulators in uncertain dynamical environments.- Fuzzy PID
Controller for Accurate Power Sharing and Voltage Restoration in DC
Microgrids.- Sensor-less Contact Force Estimation in Physical Human-Robot
Interaction.- Model-Free Continuous Fuzzy Terminal Sliding Mode Control for
Second-Order Nonlinear Systems.- Deep Q-learning with Explainable and
Transferable Domain Rules.- Influence of interference and noise on indoor
localization systems.- Exploration of Smart Medical Technology based on
Intelligent Computing Methods.- Blockchain Based Trusted Identity
Authentication in Ubiquitous Power Internet of Things.- Intelligent Modeling
Technologies for Smart Cities.- A YOLOv3-based Learning Strategy for
Vehicle-Thrown-Waste Identification.- Research on Chinese Word Segmentation
Based on Conditional Random Fields.- Knowledge Discovery and Data Mining.-
Financial Distress Detection and Interpretation with Semi-supervised System.-
Solving online food delivery problem via an effective hybrid algorithm with
intelligent batching strategy.- Graph Semantics Based Neighboring Attentional
Entity Alignment for Knowledge Graphs.- An Improved CF tree Clustering Based
on Tissue-Like P System.- Classification method of power consumption periods
based on typical daily load curve.- A data processing method for load data of
electric boiler with heat reservoir.- Aggregate model for power load
forecasting based on conditional autoencoder.- Geographical Entity Community
Discovery Based on Semantic Similarity.- Many-to-many Chinese ICD-9
Terminology Standardization based on Neural Networks.- Chinese Word Sense
Disambiguation Based on Classification.- Research on the Authorship of Dream
of the Red Chamber Based on Link Prediction.- Span Representation Generation
Method in Entity-Relation Joint Extraction.- Machine Learning.- Prediction of
Railway Freight Customer Churn Based on Deep Forest.- Multi-View of Data for
Auto Judge Model in Online Dispute Resolution.- Multi-Task Learning with
Riemannian Optimization.- Audio-Visual Salient Object Detection.- Research on
Deep Neural Network Model Compression Based on Quantification Pruning and
Huffmann Encoding.- Extreme Learning Machine Based on Double Kernel
Risk-Sensitive Loss for Cancer Samples Classification.- Delay to Group in
Food Delivery System: A Prediction Approach.- Variational EM Algorithm for
Student-Mixtures of Gaussian Processes.- Ensemble learning with resampling
for imbalanced data.- Dual-channel recalibration and feature fusion method
for liver image classification.- Research on Path Planning Algorithm for
Mobile Robot Based on Improved Reinforcement Learning.- OnSum: Extractive
Single Document Summarization Using Ordered Neuron LSTM.- Diagnosing COVID-19
on Limited Data: A Comparative Study of Machine Learning Methods.- An Inverse
QSAR Method Based on Decision Tree and Integer Programming.- A Link-Based 
Ensemble Cluster Approach for Identifica-tion of cell types.- A defect
detection method for diverse texture fabric based on CenterNet.- Accelerating
Deep Reinforcement Learning via Hierarchical State Encoding with ELMs.- Mal
PCASVM: Malonylation Residues Classification with principal component
analysis Support Vector Machine.- Theoretical Computational Intelligence and
Applications.- The influence of sliding windows basedon MM-6mAPred to
identify DNA N6-methyladenine.- RF Bert: A classification model of Golgi
apparatus based on TAPE_BERT extraction features.- PointPAVGG: An incremental
algorithm for Extraction of Points' Positional feature using VGG on Point
Clouds.- Predicting Course Score for Undergrade Students using Neural
Networks.- Classification of heart sounds using MFCC and CNN.