Intelligent Computing Methodologies (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
812
Utgivningsdatum
2019-07-24
Upplaga
1st ed. 2019
Förlag
Springer Nature Switzerland AG
Medarbetare
Huang, Zhi-Kai / Hussain, Abir
Illustrationer
284 Illustrations, color; 112 Illustrations, black and white; XXI, 812 p. 396 illus., 284 illus. in
Dimensioner
234 x 156 x 42 mm
Vikt
1149 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783030267650
Intelligent Computing Methodologies (häftad)

Intelligent Computing Methodologies

15th International Conference, ICIC 2019, Nanchang, China, August 36, 2019, Proceedings, Part III

Häftad,  Engelska, 2019-07-24
1543

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This two-volume set of LNCS 11643 and LNCS 11644 constitutes - in conjunction with the volume LNAI 11645 - the refereed proceedings of the 15th International Conference on Intelligent Computing, ICIC 2019, held in Nanchang, China, in August 2019. The 217 full papers of the three proceedings volumes were carefully reviewed and selected from 609 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. Papers related to this theme are especially solicited, including theories, methodologies, and applications in science and technology.
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Flower Species Recognition System Combining Object Detection and Attention Mechanism.- A Person-Following Shopping Support Robot Based on Human Pose Skeleton Data and LiDAR Sensor.- A New Hybrid Calibration Method for Robot Manipulators by Combining ModelBased Identification Technique and A Radial Basis FunctionBased Error Compensation.- Smart Wheelchair Maneuvering Among People.- A human-robot interaction system based on calling hand gestures.- A Welding Defect Identification Approach in X-ray Images Based on Deep Convolutional Neural Networks.- Person Re-identification Based On Feature Fusion.- Exploiting Local Shape Information for Cross-Modal Person Re-identification.- Single and Multi-channel Direct Visual Odometry with Binary Descriptors.- Performance Evaluation of Faster R-CNN for On-Road Object detection on Graphical Processing Unit and Central Processing unit.- Research on Full Homomorphic Encryption Algorithm for Integer in Cloud Environment.- Implementation of a centralized scheduling algorithm for IEEE 802.15.4e TSCH.- Learning Automata-based Solutions to the Multi-Elevator Problem.- Developing System from Low-Cost Devices to Build a Security and Fire System as a Part of IoT.- Full-Order Sliding Mode Control Algorithm for Robot Manipulators Using an Adaptive Radial Basis Function Neural Network.- Continuous PID Sliding Mode Control Based on Neural Third Order Sliding Mode Observer for Robotic Manipulators.- Intelligent Bus Shunt Control System Based on Face Recognition.- Tilt-Scrolling: A Comparative Study of Scrolling Techniques for Mobile Devices.- Optimizing Self-Organizing Lists-on-Lists using Pursuit-Oriented Enhanced Object Partitioning.- Research on Location Prediction of Moving Objects Based on Grey Markov Model.- Mildew Prediction Model of Warehousing Tobacco Based on Particle Swarm Optimization and BP Neural Network.- Exploring the pan-relationship between disease and symptom related to coronary heart disease from Chinese electronic medical records.- The Actuator and Sensor Fault Estimation Using Robust Observer Based Reconstruction for Mini Motion Pack-age Electro-Hydraulic Actuator.- The Actuator Fault Estimation Using Robust Sliding Mode Observer for Linear System Applied To Mini Mo-tion Package Electro-Hydraulic Actuator.- A Fault Tolerant Strategy Based on Model Predictive Control for Full Bidirectional Switches Indirect Matrix Converter.- Rotary Machine Fault Diagnosis using Scalogram Imageand Convolutional Neural Network with BatchNormalization.- Real Implementation of an Active Fault Tolerant Control based on Super Twisting Technique for a Robot Manipulator.- Credibility Assessment of Complex Simulation Models using Cloud Models to Represent and Aggregate Diverse Evaluation Results.- Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations.- Applying Support Vector Machine, C5.0, and CHAID to the Detection of Financial Statements Frauds.- A New Manifold-based Feature Extraction Method.- lncRNA-LSTM: Prediction of Plant Long Non-coding RNAs Using Long Short-Term Memory Based on p-nts Encoding.- Prediction of Plant lncRNA-protein Interactions Using Sequence Information Based on Deep Learning.- Predicting of Drug-disease Associations via Sparse auto- encoder-based Rotation Forest.- A Novel Compression Algorithm forHardware-Oriented Gradient Boosting DecisionTree Classification Model.- MISSIM: improved miRNA-disease association prediction model based on Chaos Game Representation and Broad Learning System.- Univariate Thiele type continued fractions rational interpolation with parameters.- Data Science approaches for the analysis of animal behaviours.- An algorithm of bidirectional RNN for offline handwritten Chinese text.- A Novel Concise Representation of Frequent Subtrees Based on Density.- Ranking Research Institutions Based on the Combination of Individual and Network Features.- Chinese Temporal Expression Recognition