Arama Sonuçları - "recurrent neural network"

Predicting the Lineage Choice of Hematopoietic Stem Cells A Novel Approach Using Deep Neural Networks / Yazar: Kroiss, Manuel

İçindekiler: “…Machine Learning - Deep Learning -- Training Neural Networks -- Recurrent Neural Networks -- Stem Cell Classification Using Microscopy Images.…”
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New Trends in E-service and Smart Computing

İçindekiler: “…Co-occurrence Relation" and "Ingredient Category" Recommend Alternative-ingredients -- Design and Initial Evaluation of Bluetooth Low Energy Separate Channel Fingerprinting -- Toward Sustainable Smart Mobility Information Infrastructure Platform ：-Project Overview- -- Model-based methodology Establishing Traceability between Requirements, Design and Operation Information in Lifecycle-Oriented Architecture -- Sports game summarization based on sub-events and game-changing phrases -- Headline Generation with Recurrent Neural Network -- Customer State Analysis with Enthusiasm Analysis.…”
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Advances in Hybridization of Intelligent Methods Models, Systems and Applications /

İçindekiler: “…Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013 -- Analysis of Biologically Inspired Swarm Communication Models -- Target-Dependent Sentiment Analysis of Tweets using Bi-directional Gated Recurrent Neural Networks -- Traffic Modelling, Visualisation and Prediction for Urban Mobility Management -- Assurance in Reinforcement Learning Using Quantitative Verification -- Distillation of Deep Learning Ensembles as a Regularisation method -- Heuristic Constraint Answer Set Programming for Manufacturing Problems.…”
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Qualitative Analysis and Control of Complex Neural Networks with Delays Yazar: Wang, Zhanshan, Liu, Zhenwei, Zheng, Chengde

İçindekiler: “…Introduction to Neural Networks -- Preliminaries on Dynamical Systems and Stability Theory -- Survey of Dynamics of Cohen-Grossberg Type RNNs -- Delay-partitioning-method Based Stability Result for RNNs -- Stability result on the static and vector field recurrent neural networks -- Stability Criteria for RNNs Based on Secondary Delay Partitioning -- LMI-based Stability Criteria for Static Neural Networks -- Multiple Stability for Discontinuous RNNs -- LMI-based Passibity Criteria for RNNs with Delays -- Dissipativity and Invariant Sets for Neural Networks with Delay -- Synchronization Stability in Complex Neural Networks -- Stabilization of Stochastic RNNs with Stochastic Delays -- Adaptive Synchronization of Complex Neural Networks.…”
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Proceedings of the 2nd International Conference on Healthcare Science and Engineering

İçindekiler: “…Viral Quasispecies Spectrum Reconstruction via Coloring the Vertex in the Weighted Read Conflict Graph -- Robust feature selection method of Radiomics for grading glioma -- Cardiovascular Disease Risk Prediction based on Random Forest -- ECG Beat Classification based on Deep Bi-directional Long Short-term Memory Recurrent Neural Network -- Deep Convolutional Neural Networks for Electrocardiogram Classification -- Transfer Learning based Behavior Task Decoding from Brain Activity -- Fine-tuning ResNet for Breast Cancer Classification from Mammography -- Lung Sounds Diagnosis with Deep Convolutional Neural Network and Two-Stage Pipeline Model -- An Improved Data Anonymization Algorithm for Incomplete Medical Dataset Publishing -- ECG Classification Based on Long Short-Term Memory Networks.…”
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Recent Advances on Soft Computing and Data Mining The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedi...

İçindekiler: “…Cluster Validation Analysis on Attribute Relative of Soft Set Theory -- Optimizing Weights in Elman Recurrent Neural Networks with Wolf Search Algorithm -- Optimization of ANFIS using Artificial Bee Colony Algorithm for Classification of Malaysian SMEs -- Forecasting of Malaysian Oil Production and Oil Consumption Using Fuzzy Time Series -- A Fuzzy TOPSIS with Z-Numbers Approach for Evaluation on Accident at the Construction Site -- Formation Control Optimization for Odor Localization -- A New Search Direction for Broyden's Family Method in Solving Unconstrained Optimization Problems -- Improved Functional Link Neural Network Learning Using Modified Bee-Firefly Algorithm for Classification Task -- Artificial Neural Network with Hyperbolic Tangent Activation Function to Improve the Accuracy of COCOMO II Model -- A study of data imputation using Fuzzy C-Means with Particle Swarm Optimization. .…”
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Proceedings of the 2nd International Conference on Data Engineering and Communication Technology ICDECT 2017 /

İçindekiler: “…Optimization of Constrained Engineering Design Problems Using Cohort Intelligence Method -- Application of Blow Fish Algorithm for Secure Transactions in Decentralized Disruption Tolerant Networks -- A Rig-based Formulation and a League Championship Algorithm for Helicopter Routing in Offshore Transportation -- Music Composition Inspired by Sea Wave Patterns Observed from Beaches -- Multi-Graph Based Intent Hierarchy Generation to Determine Action Sequence -- Modeling Runoff Using Feed Forward-back Propagation and Layer Recurrent Neural Networks -- Discussion on Problems and Solutions in Hardware Implementation of Algorithms for a Car type Autonomous Vehicle -- Obstacle Detection for Auto Driving Using Convolutional Neural Network -- Cryptography Algorithm Based on Cohort Intelligence -- Optimal Rate Allocation for Multi Layer Networks -- Eradication of Rician Noise in Orthopedic Knee MR Images Using Local Mean Based Hybrid Median Filter.…”
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Advances in Smart Vehicular Technology, Transportation, Communication and Applications Proceedings of the First International Conference on Smart Vehicular Technology, Transportati...

İçindekiler: “…Easy i-Move: Structured Image Recognition Solution for Auto Guided Vehicles -- Evaluating Multi-dimensional Abilities of Bus Drivers -- Research on Detection Algorithm of Roadway Intersection Rule Detection Based on Big Data -- Predicting the Travel Time in Using Recurrent Neural Networks: A Case Study of Fuzhou -- Driving Behavior Motivation Model Research Based on Vehicle Trajectory Data -- A Ranging Algorithm for Mobile Vehicles Based on Kalman Filter -- The Evaluation of the Video Codec Performances on the Driving Recorder with Different Vehicle Speeds -- Railway Train Working Diagram Plan System -- Railway Passenger Service Mode on "Internet +" -- Design of High Speed Train Operation Plan Simulation System -- Service Quality Evaluation of Railway Freight Transportation Network Based on Bayes Theory -- Train Headway Calculation and Simulation System for High-speed Railway -- Train Scheduling for Heavy Haul Railway -- Research on Train Delay Diagnosis in Train Diagram Based on Big Data Technology -- On Linear Precoding of Unitary Space-Time Modulation for Spatial-Temporal Correlated Flat Fading Channel -- The Integration of DFX Principles with TRIZ for Product Design - A Case Study of Electric Scooter -- Adaptive Nonsmooth Attitude Tracking Control of Quadrotor UAV with Dynamic Uncertainties -- A Constructive Problem-based Course Design for Internet of Things.…”
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Intelligent Systems and Applications Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2016 /

İçindekiler: “…Pattern sets for financial prediction: A follow-up -- OptimumWells Placement in Oil Fields using Cellular Genetic Algorithms and Space Efficient Chromosomes -- Transient Stability Enhancement using Sliding Mode based NeuroFuzzy Control for SSSC -- A Multi-objective Genetic Algorithm for Path Planning with Micro Aerial Vehicle Test Bed -- Mining Process Model Descriptions of Daily Life through Event Abstraction -- A novel approach for time series forecasting with multiobjective clonal selection optimization and modeling -- ARTool - Augmented Reality Human-Machine Interface for Machining Setup and Maintenance -- Some Properties of Gyrostats Dynamical Regimes close to New Strange Attractors of the Newton-Leipnik Type -- Toward Designing an efficient System for Delivering Contextual Content -- The CaMeLi Framework - A Multimodal Virtual Companion for Older Adults -- Emotional Domotics: Inhabitable home automation system for emotion modulation through facial analysis -- Measuring Behavioural Change ofPlayers in Public Goods Game -- Object Segmentation for Vehicle Video and Dental CBCT by Neuromorphic Convolutional Recurrent Neural Network -- Multi-recource Minority Game andWeighted Resources -- M2M Routing Protocol for Energy Efficient and Delay Constrained in IoT Based on an Adaptive Sleep Mode -- Integration of Fuzzy C-Means and Artificial Neural Network for Short-Term Localized Rainfall Forecasting in Tropical Climate -- Neural Network Configurations Analysis for Recognition System of Pattern of Speech Signal based on Low Order DCT Parameters -- Knowledge-based expert system using a set of rules to assist a tele-operated mobile rob -- Fuzzy Waypoint Guidance Controller for Wave Adaptive Modular Vessel (WAM-V) -- Trust and Resource Oriented Communication Scheme in Mobile Ad hoc Networks -- Hybrid Audio Steganography and Cryptography Method Based on High Least Significant Bit (LSB) Layers and One-time Pad - A Novel Approach -- Generalised and Versatile Connected Health Solution on the ZynqSoC.…”
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Mechanics of Biological Systems & Micro-and Nanomechanics, Volume 4 Proceedings of the 2018 Annual Conference on Experimental and Applied Mechanics /

İçindekiler: “…Experimental and Theoretical Study on the Robustification of Acoustic Emission Inspection with Recurrent Neural Networks -- Chapter 10. Modeling of Atomic Force Microscope Contact Experiments on Escherichia Coli Bacteria Cellular Systems -- Chapter 11. …”
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Artificial Intelligence Perspectives in Intelligent Systems Proceedings of the 5th Computer Science On-line Conference 2016 (CSOC2016), Vol 1 /

İçindekiler: “…A Classification Schema for the Job Shop Scheduling Problem with Transportation Resources: State-Of-The-Art Review -- Narration Framework of Chinese Ancient Fiction Images in the Digital Environment -- Toward Computing Oriented Representation of Sets -- Simplified Version of White Wine Grape Berries Detector Based on SVM and HOG Features -- Automated Product Design and Development Using Evolutionary Ontology -- Energy Conservation Technique on Multiple Radio Incorporated Smart Phones -- Real Time Tasks Scheduling Optimization Using Quantum Inspired Genetic Algorithms -- Fuzzy Energy Aware Real Time Scheduling Targeting Mono-Processor Embedded Architectures -- Total Tardiness Minimization in a Flow Shop With Blocking Using An Iterated Greedy Algorithm -- A Firefly Algorithm to Solve the Manufacturing Cell Design Problem -- Solving the Manufacturing Cell Design Problem Via Invasive Weed Optimization -- VLSI Placement Problem Based on Ant Colony Optimization Algorithm -- Pattern Recognition on the Basis of Boltzmann Machine Model -- Parallel Genetic Algorithm Based on Fuzzy Controller for Design Problems -- To Scheduling Quality of Sets of Precise Form Which Consist of Tasks of Circular And Hyperbolic Type In Grid Systems -- Exploring Performance of Instance Selection Methods in Text Sentiment Classification -- Placement of Vlsi Fragments Based on A Multilayered Approach -- Genetic Algorithm Approach in Optimizing the Energy Intake for Health Purpose -- Formal Verification and Accelerated Inference -- A Hybrid Approach to Automated Music Composition -- Detection of White Grapes in Natural Environment Using Neural Network as A Classifier -- A Concept of Innovative Speech Interfaces With Augmented Reality and Interactive Systems for Controlling Lifting Devices -- Sentiment Analysis of Customer Reviews Using Robust Hierarchical Bidirectional Recurrent Neural Network -- Binary Image Quality Assessment - A Hybrid Approach Based on Binarization Evaluation Methods -- Biogeography-Based Optimization Algorithm for Solving the Set Covering Problem -- Approaches to Tackle the Nesting Problems -- Lozi Map Generated Initial Population in Analytical Programming -- Comparison of Success Rate of Numerical Weather Prediction Models With Forecasting System of Convective Precipitation -- High Speed, Efficient Area, Low Power Novel Modified Booth Encoder Multiplier for Signed-Unsigned Number -- Mining Customer Behavior in Trial Period of a Web Application Usage - Case Study -- In Search of a Semantic Book Search Engine on the Web: Are we there Yet? …”
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Advances in Intelligent Systems and Interactive Applications Proceedings of the 2nd International Conference on Intelligent and Interactive Systems and Applications (IISA2017) /

İçindekiler: “…Intelligent Systems -- A Dynamic Node's Trust Level Detection Scheme for Intelligent Transportation System -- An application of  Multi-Objective Genetic Algorithm based on Crossover Limited -- An Method for Extracting Objects in Physics Using Unit Semantic Model -- A novel matching technique for two-sided paper fragments reassembly -- An improved memetic algorithm with novel level comparison for constrained optimization -- FPGA based Real-time Processing Architecture for Recurrent Neural Network -- Publication Recommendations of Manuscripts Using Improved C4.5 Decision Tree Algorithm -- Design Replica Consistency Maintenance Policy for the Oil and Gas Pipeline Clouding SCADA Multiple Data Centers Storage System -- SPSS-based Research on Language Learning Strategy Use.…”
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Computational Intelligence in Data Mining-Volume 2 Proceedings of the International Conference on CIDM, 5-6 December 2015 /

İçindekiler: “…Prediction Strategy for Software Reliability Based on Recurrent Neural Network -- Chapter 28.< A New Approach to Fuzzy Soft Set Theory and Its Application in Decision Making -- Chapter 29. …”
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Proceedings of International Conference on Artificial Intelligence and Applications : Icaia 2020. Yazar: Bansal, Poonam

İçindekiler: “…Intro -- Organization -- ICAIA 2020 Organizing Committee -- Advisory Committee -- Technical Committee -- ICAIA 2020 Keynote Speaker -- ICAIA 2020 Invited Speakers -- Preface -- Contents -- About the Editors -- Evolving Machine Learning and Deep Learning Models for Computer Vision -- Analysis of Breast Cancer Detection Techniques Using RapidMiner -- 1 Introduction -- 2 Related Work -- 3 Comparative Study of Machine Learning Algorithms -- 3.1 Decision Trees -- 3.2 k-NN -- 3.3 Neural Networks -- 3.4 Linear Regression -- 3.5 Support Vector Machines -- 4 Results and Discussions -- 5 Conclusion and Future Scope -- References -- Software Cost Estimation Using LSTM-RNN -- 1 Introduction -- 2 Related Work -- 3 Recurrent Neural Network (RNN) -- 4 Proposed Method -- 5 Experimental Outcomes -- 6 Conclusion -- References -- Artificial Neural Network (ANN) to Design Microstrip Transmission Line -- 1 Introduction -- 2 ANN Model for MTL -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Classifying Breast Cancer Based on Machine Learning -- 1 Introduction -- 2 Methods -- 2.1 Logistic Regression (LR) -- 2.2 Support Vector Machines (SVMs) -- 2.3 K-Nearest Neighbour (KNN) -- 3 Experiments and Methodology -- 3.1 Data Preparation and Analysis -- 3.2 Implementation -- 3.3 Training Method of Class of Breast Cancer Using SVM -- 4 Results Analysis -- 5 Conclusions -- References -- Comparison of Various Statistical Techniques Used in Meta-analysis -- 1 Introduction -- 2 Pooling Effect Sizes -- 2.1 Forest Plots -- 2.2 Moderator Variables and Subgroup Analysis -- 2.3 Meta-regression -- 3 Popular Algorithms -- 3.1 Mantel Haenszel Method -- 3.2 DerSimonian and Laird Approach -- 3.3 Comparison -- 4 Heterogeneity -- 4.1 Cochran's Q -- 4.2 Higgins and Thompson's I2 -- 4.3 H2 Test -- 4.4 Identifying Best Measure of Heterogeneity -- 5 Conclusion.…”
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Deep Learning with Python, Second Edition. Yazar: Chollet, Francois

İçindekiler: “…9.3.5 Putting it together: A mini Xception-like model -- 9.4 Interpreting what convnets learn -- 9.4.1 Visualizing intermediate activations -- 9.4.2 Visualizing convnet filters -- 9.4.3 Visualizing heatmaps of class activation -- Summary -- 10 Deep learning for timeseries -- 10.1 Different kinds of timeseries tasks -- 10.2 A temperature-forecasting example -- 10.2.1 Preparing the data -- 10.2.2 A common-sense, non-machine learning baseline -- 10.2.3 Let's try a basic machine learning model -- 10.2.4 Let's try a 1D convolutional model -- 10.2.5 A first recurrent baseline -- 10.3 Understanding recurrent neural networks -- 10.3.1 A recurrent layer in Keras -- 10.4 Advanced use of recurrent neural networks -- 10.4.1 Using recurrent dropout to fight overfitting -- 10.4.2 Stacking recurrent layers -- 10.4.3 Using bidirectional RNNs -- 10.4.4 Going even further -- Summary -- 11 Deep learning for text -- 11.1 Natural language processing: The bird's eye view -- 11.2 Preparing text data -- 11.2.1 Text standardization -- 11.2.2 Text splitting (tokenization) -- 11.2.3 Vocabulary indexing -- 11.2.4 Using the TextVectorization layer -- 11.3 Two approaches for representing groups of words: Sets and sequences -- 11.3.1 Preparing the IMDB movie reviews data -- 11.3.2 Processing words as a set: The bag-of-words approach -- 11.3.3 Processing words as a sequence: The sequence model approach -- 11.4 The Transformer architecture -- 11.4.1 Understanding self-attention -- 11.4.2 Multi-head attention -- 11.4.3 The Transformer encoder -- 11.4.4 When to use sequence models over bag-of-words models -- 11.5 Beyond text classification: Sequence-to-sequence learning -- 11.5.1 A machine translation example -- 11.5.2 Sequence-to-sequence learning with RNNs -- 11.5.3 Sequence-to-sequence learning with Transformer -- Summary -- 12 Generative deep learning -- 12.1 Text generation.…”
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Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

İçindekiler: “…Long Short Term Memory based Recurrent Neural Network approach for intrusion detection -- Chapter 30. …”
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Deep Learning with TensorFlow and Keras - 3rd Edition : Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models. Yazar: Kapoor, Amita

İçindekiler: “…Language model-based embeddings -- Using BERT as a feature extractor -- Summary -- References -- Chapter 5: Recurrent Neural Networks -- The basic RNN cell -- Backpropagation through time (BPTT) -- Vanishing and exploding gradients -- RNN cell variants -- Long short-term memory (LSTM) -- Gated recurrent unit (GRU) -- Peephole LSTM -- RNN variants -- Bidirectional RNNs -- Stateful RNNs -- RNN topologies -- Example ‒ One-to-many - Learning to generate text -- Example ‒ Many-to-one - Sentiment analysis -- Example ‒ Many-to-many - POS tagging -- Encoder-decoder architecture - seq2seq -- Example ‒ seq2seq without attention for machine translation -- Attention mechanism -- Example ‒ seq2seq with attention for machine translation -- Summary -- References -- Chapter 6: Transformers -- Architecture -- Key intuitions -- Positional encoding -- Attention -- Self-attention -- Multi-head (self-)attention -- How to compute attention -- Encoder-decoder architecture -- Residual and normalization layers -- An overview of the transformer architecture -- Training -- Transformers' architectures -- Categories of transformers -- Decoder or autoregressive -- Encoder or autoencoding -- Seq2seq -- Multimodal -- Retrieval -- Attention -- Full versus sparse -- LSH attention -- Local attention -- Pretraining -- Encoder pretraining -- Decoder pretraining -- Encoder-decoder pretraining -- A taxonomy for pretraining tasks -- An overview of popular and well-known models -- BERT -- GPT-2 -- GPT-3 -- Reformer -- BigBird -- Transformer-XL -- XLNet -- RoBERTa -- ALBERT -- StructBERT -- T5 and MUM -- ELECTRA -- DeBERTa -- The Evolved Transformer and MEENA -- LaMDA -- Switch Transformer -- RETRO -- Pathways and PaLM -- Implementation -- Transformer reference implementation: An example of translation -- Hugging Face -- Generating text -- Autoselecting a model and autotokenization.…”
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Deep Learning : Foundations and Concepts. Yazar: Bishop, Christopher M.

İçindekiler: “…12.2.3 Bag of words -- 12.2.4 Autoregressive models -- 12.2.5 Recurrent neural networks -- 12.2.6 Backpropagation through time -- 12.3. …”
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Traffic Mining Applied to Police Activities Proceedings of the 1st Italian Conference for the Traffic Police (TRAP- 2017) /

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Evolutionary Algorithms and Neural Networks Theory and Applications / Yazar: Mirjalili, Seyedali

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