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The mathematics of the uncertain : a tribute to Pedro Gil by SpringerLink (Online service)

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Adaptive and natural computing algorithms : 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013 : proceedings by ICANNGA (Conference) Lausanne, Switzerland), SpringerLink (Online service)

Contents: “…Can Two Hidden Layers Make a Difference? /…”
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Advanced intelligent computing theories and applications : with aspects of artificial intelligence : 7th international conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011 :... by International Conference on Intelligent Computing Zhengzhou, China, SpringerLink (Online service)

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Advances in computer science, engineering & applications : proceedings of the Second International Conference on Computer Science, Engineering and Applications (ICCSEA 2012), May 2... by ICCSEA 2012 New Delhi, India, SpringerLink (Online service)

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Artificial intelligence applications and innovations : 9th IFIP WG 12.5 International Conference, AIAI 2013, Paphos, Cyprus, September 30 October 2, 2013, Proceedings by IFIP TC12 WG12.5--IFIP Conference on Artificial Intelligence Applications and Innovations Paphos, Cyprus, SpringerLink (Online service)

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Logic, Rationality, and Interaction : Second International Workshop, LORI 2009, Chongqing, China, October 8-11, 2009. Proceedings by LORI 2009 Chongqing, China, SpringerLink (Online service)

Contents: “…On the Temporal Structure of Learning -- Agreement Theorems in Dynamic-Epistemic Logic -- Learning and Teaching as a Game: A Sabotage Approach -- First-Order Logic Formalisation of Arrow's Theorem -- Twelve Angry Men: A Study on the Fine-Grain of Announcements -- Dynamic Testimonial Logic -- From the Logical Point of View: The Chain Store Paradox Revisited -- A Cooperation Logic for Declaration Structures -- Intentions and Assignments -- Epistemic Games in Modal Logic: Joint Actions, Knowledge and Preferences All Together -- Dynamic Epistemic Logic of Finite Identification -- An Epistemic Logic for Planning with Trials -- Obligations in a Responsible World -- Dynamic Epistemic Temporal Logic -- Measurement-Theoretic Foundation of Preference-Based Dyadic Deontic Logic -- An Update Operator for Strategic Ability -- Strategy Elimination in Games with Interaction Structures -- Posters -- The Logic of Knowledge-Based Cooperation in the Social Dilemma -- Getting Together: A Unified Perspective on Modal Logics for Coalitional Interaction -- Oppositional Logic -- Deliberate Contrary-to-Law Action -- Mono-Agent Dynamics -- Modal Expressivity and Definability over Sets -- Dynamic Logics for Explicit and Implicit Information -- Existence of Satisfied Alternative and the Occurring of Morph-Dictator.…”
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Safety for future transport and mobility by Ross, Hans-Leo

Contents: “…2.1.1 Development of the Context -- 2.1.2 Identification of Risk -- 2.1.3 Assessment of the Risk in the Target Context -- 2.1.4 Development of a Strategy and Treatment of Potential Risk -- 2.1.5 Development and Defining of Activities and Their Objectives -- 2.1.6 Development of an Implementation and Realisation Strategy -- 2.1.7 Review and Evaluation of the Plan -- 2.2 Technical Risk -- 2.3 Risk in Road Traffic -- 2.3.1 Causes of Technical Risk -- 2.3.2 Control of Technical Risk -- 2.4 Standardisation of Safety for Road Vehicles -- 2.4.1 Risk and Integrity Definition from the IEC 61508.…”
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Logic, rationality, and interaction : 7th International Workshop, LORI 2019, Chongqing, China, October 18-21, 2019, Proceedings by LORI (Workshop) Chongqing, China), SpringerLink (Online service)

Contents: “…3 Step 1: Arguments Based on Two Monotonic Logics4 Step 2: Preferences Among Arguments; 5 Step 3: Designing Non-monotonic Logics; 6 Related Work; 7 Summary and Concluding Remarks; References; A Discrete Representation of Lattice Frames; 1 Introduction; 2 Notation and First Definitions; 3 Urquhart's Lattice Representation; 4 Modal Definability of Doubly Ordered Frames; 5 Representability of Lattice Frames; 6 Summary and Outlook; References; Group Announcement Logic with Distributed Knowledge; 1 Introduction; 2 Background; 2.1 Languages; 2.2 Models and Bisimulation; 2.3 Semantics of GALD.…”
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Machine learning : ECML 2006 : 17th European Conference on Machine Learning, Berlin, Germany, September 18-22, 2006 : proceedings by European Conference on Machine Learning Berlin, Germany, SpringerLink (Online service)

Contents: “…Invited Talks -- On Temporal Evolution in Data Streams -- The Future of CiteSeer: CiteSeerx -- Learning to Have Fun -- Winning the DARPA Grand Challenge -- Challenges of Urban Sensing -- Long Papers -- Learning in One-Shot Strategic Form Games -- A Selective Sampling Strategy for Label Ranking -- Combinatorial Markov Random Fields -- Learning Stochastic Tree Edit Distance -- Pertinent Background Knowledge for Learning Protein Grammars -- Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies -- Sequence Discrimination Using Phase-Type Distributions -- Languages as Hyperplanes: Grammatical Inference with String Kernels -- Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning -- Fisher Kernels for Relational Data -- Evaluating Misclassifications in Imbalanced Data -- Improving Control-Knowledge Acquisition for Planning by Active Learning -- PAC-Learning of Markov Models with Hidden State -- A Discriminative Approach for the Retrieval of Images from Text Queries -- TildeCRF: Conditional Random Fields for Logical Sequences -- Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data -- Bayesian Learning of Markov Network Structure -- Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks -- Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions -- EM Algorithm for Symmetric Causal Independence Models -- Deconvolutive Clustering of Markov States -- Patching Approximate Solutions in Reinforcement Learning -- Fast Variational Inference for Gaussian Process Models Through KL-Correction -- Bandit Based Monte-Carlo Planning -- Bayesian Learning with Mixtures of Trees -- Transductive Gaussian Process Regression with Automatic Model Selection -- Efficient Convolution Kernels for Dependency and Constituent Syntactic Trees -- Why Is Rule Learning Optimistic and How to Correct It -- Automatically Evolving Rule Induction Algorithms -- Bayesian Active Learning for Sensitivity Analysis -- Mixtures of Kikuchi Approximations -- Boosting in PN Spaces -- Prioritizing Point-Based POMDP Solvers -- Graph Based Semi-supervised Learning with Sharper Edges -- Margin-Based Active Learning for Structured Output Spaces -- Skill Acquisition Via Transfer Learning and Advice Taking -- Constant Rate Approximate Maximum Margin Algorithms -- Batch Classification with Applications in Computer Aided Diagnosis -- Improving the Ranking Performance of Decision Trees -- Multiple-Instance Learning Via Random Walk -- Localized Alternative Cluster Ensembles for Collaborative Structuring -- Distributional Features for Text Categorization -- Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data -- An Adaptive Kernel Method for Semi-supervised Clustering -- To Select or To Weigh: A Comparative Study of Model Selection and Model Weighing for SPODE Ensembles -- Ensembles of Nearest Neighbor Forecasts -- Short Papers -- Learning Process Models with Missing Data -- Case-Based Label Ranking -- Cascade Evaluation of Clustering Algorithms -- Making Good Probability Estimates for Regression -- Fast Spectral Clustering of Data Using Sequential Matrix Compression -- An Information-Theoretic Framework for High-Order Co-clustering of Heterogeneous Objects -- Efficient Inference in Large Conditional Random Fields -- A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses -- Cost-Sensitive Decision Tree Learning for Forensic Classification -- The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces -- Right of Inference: Nearest Rectangle Learning Revisited -- Reinforcement Learning for MDPs with Constraints -- Efficient Non-linear Control Through Neuroevolution -- Efficient Prediction-Based Validation for Document Clustering -- On Testing the Missing at Random Assumption -- B-Matching for Spectral Clustering -- Multi-class Ensemble-Based Active Learning -- Active Learning with Irrelevant Examples -- Classification with Support Hyperplanes -- (Agnostic) PAC Learning Concepts in Higher-Order Logic -- Evaluating Feature Selection for SVMs in High Dimensions -- Revisiting Fisher Kernels for Document Similarities -- Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery -- Robust Probabilistic Calibration -- Missing Data in Kernel PCA -- Exploiting Extremely Rare Features in Text Categorization -- Efficient Large Scale Linear Programming Support Vector Machines -- An Efficient Approximation to Lookahead in Relational Learners -- Improvement of Systems Management Policies Using Hybrid Reinforcement Learning -- Diversified SVM Ensembles for Large Data Sets -- Dynamic Integration with Random Forests -- Bagging Using Statistical Queries -- Guiding the Search in the NO Region of the Phase Transition Problem with a Partial Subsumption Test -- Spline Embedding for Nonlinear Dimensionality Reduction -- Cost-Sensitive Learning of SVM for Ranking -- Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures.…”
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Critical infrastructure protection research : results of the first critical infrastructure protection research project in Hungary by SpringerLink (Online service)

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Artificial intelligence and evolutionary computations in engineering systems : proceedings of ICAIECES 2017 by International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems Madanapalle, India, SpringerLink (Online service)

Contents: “…2.4 Performance Measures3 Experimental Results; 4 Conclusions; Bibliography; 3 Distributive MPPT Approach Using ANFIS and Perturb & Observe Techniques Under Uniform and Partial Shading Conditions; Abstract; 1 Introduction; 2 MPPT Techniques; 2.1 Perturb & Observe (P & O) Technique; 2.2 Adaptive Neuro-Fuzzy Inference System (ANFIS); 2.3 Series-Connected Distributed Maximum Power Point Tracking (DMPPT); 3 Simulation Model; 4 Results and Discussion; 5 Conclusion; References; 4 Performance of MPPT in Photovoltaic Systems Using GA-ANN Optimization Scheme; Abstract; 1 Introduction; 2 Related Works.…”
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Software engineering research, management and applications 2009 by SERA 2009 Haikou Shi, China, SpringerLink (Online service)

Contents: “…Efficiency from Formalization: An Initial Case Study on Archi3D -- An Agent-Based Framework for Association Rules Mining of Distributed Data -- Defining and Implementing Software Subcontracting Management Processes in Small Enterprises -- A Robust Approach to Subsequence Matching -- Toward Automated Support for Software Process Improvement Initiatives in Small and Medium Size Enterprises -- Syntactic and Semantic Prediction in Dynamic Languages -- M-KAD: A Scalable Peer-to-Peer System for Similarity Search in Metric Space -- A State Based Fitness Function for Evolutionary Testing of Object-Oriented Programs -- A Practical Approach to Developing Applications with Reusable Services -- Supporting Real-Life Applications in Hierarchical Component Systems -- Towards Specifying Reactive Autonomic Systems with a Categorical Approach: A Case Study -- Frameworks for Maturity Questionnaire Selection Model -- An Agent-Based Web Services Market -- Investigating Inconsistency Detection as a Validation Operation in Software Product Line -- Combined Algorithms for Classification of Conduct Disorder of Students in Thai Vocational School -- Error Estimation Model for Managing Embedded Software Development -- Identifying Data Member Level Changes for Regression Testing of Object-Oriented Programs -- Network Monitoring with Real-Time Properties: A Step Forward -- A Pragmatic Analysis Model for Software Reuse -- Evaluation of Test-Driven Development: An Academic Case Study -- New Smith Predictor and Fuzzy Adaptive Control for Wireless Networked Control Systems -- FRAME: A Generic Fractal Process Metamodel for Agile Methodologies -- Workflow Change Patterns: Opportunities for Extension and Reuse -- Patterns of Situational Method Engineering -- A Novel MHC-Inspired Approach for Malicious Code Detection.…”
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Artificial intelligence and security : 5th International Conference, ICAIS 2019, New York, NY, USA, July 26-28, 2019, proceedings. Part IV by ICAIS (Conference) New York, N.Y.), SpringerLink (Online service)

Contents: “…Encryption and Cybersecurity -- A Gray-Box Vulnerability Discovery Model based on Path Coverage -- Quantum Network Coding Based on Entanglement Distribution -- Moving Target Defense in Preventing SQL Injection -- Design and Security Analysis of Certificateless Aggregate Signature Scheme -- SuperEye: a Distributed Port Scanning System -- An Improved Multi-classification Algorithm for Imbalanced Online Public Opinion Data -- NCGs: Building A Trustworthy Environment to Identify Abnormal Events Based on Network Connection Behavior Analysis -- Short Text Topic Recognition and Optimization Method for University Online Community -- A Survey on Network Traffic Identification -- A Survey of Network Security Situational Awareness Technology -- Multi-function Quantum Cryptography Protocol Based On Bell State -- The Attack Case of ECDSA on Blockchain based on Improved Simple Power Analysis -- A Weight-Based Channel Estimation Implementation Algorithm -- ̂Multi-Party Quantum Communication Complexity on Composite Boolean-Valued Function -- BlockZone: A Blockchain-based DNS Storage and Retrieval Scheme -- Robust Analysis of Grid System Based on Complex Network Attack Mode -- A Secure Data Aggregation Protocol in VANETs based on Multi-key FHE -- Research on SQL Injection and Defense Technology -- A Review of the Factorization Problem of Large Integers -- A Comparison of Machine Learning Algorithms for Detecting XSS Attacks -- A Survey of Privacy-Preserving Techniques for Blockchain -- A Survey of Software Reverse Engineering Applications -- A Fast IP Matching Algorithm under Large Traffic -- An Effective Load Balance using Link Bandwidth for SDN-based Data Centers -- Zero-Day Vulnerability Risk Assessment and Attack Path Analysis Using Security Metric -- Research on Content Extraction of Rich Text Web Pages -- Network Protocol Analysis base on WeChat PC Version -- Bitcoin Network Size Estimation Based on Coupon Collection Model -- ̂A Survey of the Software Vulnerability Discovery using Machine Learning Techniques -- A Distributed Cryptanalysis Framework based on Mobile Phones -- A Novel Threshold Signature Scheme Based on Elliptic Curve with designated verifier -- A Congestion Control Methodology with Probability Routing based on MNL for Datacenter Network -- Fast Failover for Link Failures in Software Defined Networks -- Steady-state Topology Discovery of Target Networks based on Statistics Method -- A Novel Method for Weighted Throughput Fairness in Contention-based WLANs with Multiple Priority Levels -- Bitcoin Node Discovery: Large-scale Empirical Evaluation of Network Churn -- DDoS Attack Situation Information Fusion Method Based on Dempster-Shafer Evidence Theory -- Webshell Detection Model based on Deep Learning -- A Security-Sensitive Function Mining Framework for Source Code -- Abstraction of Operations in Trusted Components Based on OR-transition Colored Petri Net -- ̂Trusted Component Decomposition Based on OR-transition Colored Petri Net -- High-Speed File Transferring over Linux Bridge for QGA Enhancement in Cyber Range -- Playing First-Person-Shooter Games with A3C-Anticipator Network Based Agents using Reinforcement Learning -- Identify Influentials Based on User behavior Across Different Topics -- Taylor Series Localization Algorithm Based on Semi-definite Programming -- Research on Pedestrian Attribute Recognition Based on Semantic Segmentation in Natural Scene -- An evolving network model based on a triangular connecting mechanism for the Internet topology -- A new quantum private query protocol with better performance in resisting joint-measurement attack -- PPCSB:A Privacy-Preserving Electricity Consumption Statistics and Billing Scheme in Smart Grid -- Blockchain Private Key Storage Algorithm Based on Image Information Hiding -- Heuristic-Q: A Privacy Data Pricing Method Based on Heuristic Reinforcement Learning.…”
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Artificial intelligence and security : 6th International Conference, ICAIS 2020, Hohhot, China, July 17-20, 2020 : proceedings. Part I by ICAIS (Conference) Hohhot, China), SpringerLink (Online service)

Contents: “…Design of Vehicle Remote Monitoring System Based on LoRa Technology and QT Platform -- Unifying Domain Adaptation into Simultaneous Discriminant Analysis: a Method for Low-resolution Face Recognition with Single Sample per Person -- An exploratory study of blending Smart classroom in database course -- Optimization and simulation of pre-warehouse multi-objective stock levels based on the Weibull distribution function -- Research and Analysis of Fine Management of Engineering Cost Based on BIM -- Survey of Software-Defined Network Security Issues -- A Fall Detection Algorithm Based on a Support Vector Machine -- A Multi-AGV Optimal Scheduling Algorithm Based on Particle Swarm Optimization -- An efficient quantum private comparison protocol based on conjugate coding -- Deliberated Vulnerable Environment Generating based on Container and Structured Vulnerability Intelligence -- Deep neural network watermarking based on texture analysis -- A Robust Reversible Image Watermarking Scheme based on Singular Value Decomposition and Quantization Technique --…”
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Security informatics by SpringerLink (Online service)

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Smart objects and technologies for social good : 7th EAI International Conference, GOODTECHS 2021, virtual event, September 15-17, 2021, Proceedings by GOODTECHS (Conference) Online), SpringerLink (Online service)

Contents: “…Learning -- Balancing activity recognition and privacy preservation with a multi-objective evolutionary algorithm -- Biometric data capture as a way to identify lack f physical activity in daily life -- Comparative Analysis of Process Mining Algorithms in Python -- COVID-19 Next Day Trend ForecastAnomaly Detection in Cellular IoT with Machine Learning -- Internet of Things -- A Smart IoT System for Water Monitoring and Analysis -- Decentralising the Internet of Medical Things with Distributed Ledger Technologies and Off-Chain Storages: a Proof of Concept -- Towards a Monitoring Framework for Users of Retirement Houses with Mobile Sensing -- Temporal authorization graphs: Pros, Cons and Limits -- Advanced 5G Network Slicing Isolation Using Enhanced VPN+ for Healthcare Verticals -- Social considerations of technology -- GuideSwarm: A Drone Network Design to Assist Visually-impaired People -- LISA -- Lingua Italiana dei Segni Accessibile: A Progressive Web App to Support Communication Between Deaf People and Public Administrations -- Building emotionally stable, inclusive, and healthy communities with ICT: from state of the art to PSsmile app -- issue design, implementation, deployment, operation, and evaluation of smart objects and technologies for social good. …”
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Advances in artificial intelligence and security : 7th International Conference, ICAIS 2021, Dublin, Ireland, July 19-23, 2021, Proceedings. Part I by ICAIS (Conference) Dublin, Ireland), SpringerLink (Online service)

Contents: “…Artificial Intelligence -- A Load Balancing Mechanism for a Multi-Controller Software Defined WiFi Network -- HGC:Hybrid Gradient Compression in Distributed Deep Learning -- Application of Lidar INS Integrated Positioning in Automatic Driving -- A Review of Named Entity Recognition in Chinese Medical Text -- Robust liver vessel extraction using DV-Net with D-BCE loss function -- Cloud computing-based graph convolutional network power consumption prediction method -- Intelligent Intrusion Detection of Measurement Automation System Based on Deep Learning -- LSTM-Exploit:Intelligent Penetration Based On LSTM Tool -- Pig target detection from image based on improved YOLO V3 -- ICPM: An Intelligent Compound Prediction Model Based on GA and GRNN -- A new method of halftoning and inverse halftoning based on GAN Network -- Sow Estrus Diagnosis from Sound Samples based on Improved Deep Learning -- Research on YOLO Model and its application in Fault Status recognition of freight trains -- Feedforward Deep Neural Network-Based Model for the Forecast of Severe Convective Wind -- Asynchronous Compatible D-ML System for Edge Devices -- Ball K-Medoids: Faster and Exacter -- GVNP: Global Vectors for Node Representation -- Investigation on Loan Approval Based on Convolutional Neural Network -- Chinese Verb-Object Collocation Knowledge Graph Construction and Application -- Optimal Deployment of Underwater Sensor Networks Based on Hungarian Algorithm -- Discrete Multi-Height Wind Farm Layout Optimization for Optimal Energy Output -- Multilevel Threshold Image Segmentation Based on Modified Moth-flame Optimization Algorithm -- Research on critical illness fundraising methods based on blockchain and smart contracts -- Collaboration Energy Efficiency with Mobile Edge Computing for Data Collection in IoT -- Improving the Transformer Translation Model with Back-Translation -- Rigid Image Registration based on Graph Matching -- A Multi-scale Fusion Method For Dense Crowd Counting -- Chinese text classification based on adversarial training -- Research on SVM Parameter Optimization Mechanism Based on Particle Swarm Optimization -- A parameter selection method based on reinforcement learning: the QoS-privacy trade-off for adversarial training framework -- Word Research on Sentiment Analysis of Foreign News Reports Concerning China Based On the Hybrid Model of Opinion Sentence and BLSTM-Attention -- Cascaded Convolutional Neural Network for Image Super-Resolution -- Risk Probability Forecast Technology of the Gust in Beijing Winter Olympic Games based on the Theory of Digital Image Processing -- Depth estimation based on optical flow and depth prediction -- The Algorithms for Word Segmentation and Named Entity Recognition of Chinese Medical Records -- Temperature forecasting based on LSTM in coastal city -- Recent Progress of Medical CT Image Processing based on Deep Learning -- Road Damage Detection and Classification based on M2det -- Weather Temperature Prediction Based on LSTM-Bayesian Optimization -- Research Situation and Development Trends of Deep Learning application in Meteorology -- Exploiting Spatial-Spectral Feature for Hyperspectral Image Classification based on 3-D CNN and Bi-LSTM -- Automated Methods for Symptom Normalization in Traditional Chinese Medicine Records -- A Nested Named Entity Recognition Method for Traditional Chinese Medicine Records -- Face Feature Extraction and Recognition Based on Lighted Deep Convolutional Neural Network -- Non-Orthogonal Multiple Access is Used for Power Allocation to MaximizeThroughput in Cognitive Radio Network Systems -- Research on Drug Response Prediction Model Based on Big Data -- A Cross-Modal Image-Text Retrieval System with Deep Learning -- Research on Behavioral Decision Reward Mechanism of Unmanned Swarm System in Confrontational Environment -- A Variable Step-Size based Iterative Algorithm for High-precision Ranging using FMCW Radar -- Research on the Smart Management and Service of Smart Classrooms in Colleges and Universities -- Performance Analysis of Hard Fusion Rules in Cognitive Radio Networks over Composite Channels -- Performance Analysis of Spectrum Sensing in Cognitive Radio Networks Based on AD Goodness of Fit under Noise Uncertainty -- Research on Prediction Algorithm for Heavy Overload of Main Equipment in Distribution Network -- Review of Attention Mechanism in Electric Power Systems -- Comprehensive review of intelligent operation and maintenance of power system in China -- An Incremental Learning Method for Fault Diagnosis Based on Random Forest -- Research on Short-term Flow Forecast of Intelligent Traffic -- Research on Stock Price Forecasting Based on BP Neural Network -- Trust Computing Model of online transaction based on Social Network and Mobile Agent -- An Adaptive Momentum Term based Optimization Method for Image Restoration -- Research on Situational Awareness Security Defense of Intrusion Link Based on Data Element Characteristic Network Transmission Signal -- Research on Proofreading Method of Semantic Collocation Error in Chinese.…”
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Fluctuation-induced network control and learning : applying the yuragi principle of brain and biological systems by SpringerLink (Online service)

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Proceedings of second International Conference on Intelligent System : ICIS 2023 by International Conference on Intelligent System Ho Chi Minh City, Vietnam, SpringerLink (Online Service)

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Introduction to diagnosis of active systems by Lamperti, Gianfranco, Zanella, Marina, Zhao, Xiangfu

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