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    Application of big data, blockchain, and internet of things for education informatization : Second EAI International Conference, BigIoT-EDU 2022, virtual event, July 29-31, 2022, p... by International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization Online, SpringerLink (Online service)

    Published: Springer, 2023
    Table of Contents: “…-Research on English language learning algorithm based on speech recognition confidence -- Research on English teaching ability evaluation algorithm based on big data fuzzy k-means clustering -- Research on English Teaching in Higher Vocational Colleges Based on big data analysis -- Research on Enterprise Marketing Education Strategy Based on Data Mining Technology -- Research on Evaluation of physical education teaching quality based on comprehensive integrated evaluation method and SVM -- Research on film visual concept and creative method in the era of virtual production -- Research on Intelligent Analysis and Processing Technology of Financial Big Data Education Based on DM Algorithm -- Research on intelligent evaluation of College Students' mental health based on decision tree algorithm -- Research on interactive mode of drama performance based on VR technology -- Research on language learning and cross-cultural function based on mobile digital platform -- Research on Mining Algorithm and Its Application in Mine Safety Management Education -- Research on national dance culture education and teaching based on data mining algorithm -- Research on online English speech interactive recognition system based on nose algorithm -- Research on public opinion risk management and control under network media big data -- Research on quality evaluation of College Students' innovation and entrepreneurship education based on grey correlation algorithm -- Research on student achievement and employment flow based on Apriori algorithm under the background of big data -- Research on system design of educational curriculum construction based on big data platform -- Research on teaching design of network marketing practice based on big data analysis -- Research on teaching development and application of data mining algorithm in Japanese Corpus -- Research on teaching innovation of computer rendering course of environmental design specialty based on PTP mode -- Research on the application of cloud computing College English Teaching Assistant Platform -- Research on the application of College English ecological teaching model based on EM algorithm -- Research on the application of decision tree algorithm in practical teaching of Public Physical Education in Colleges and Universities -- Research on the construction of business English education translation platform based on "Internet +" -- Research on user behavior of College English mobile learning app -- Simulation and nonlinear observer of multi scroll chaotic system -- Research on the training of outstanding engineers in architectural education based on ant colony algorithm -- Safety management and control measures of Expressway Bridge Construction under the background of big data -- The Design of English Teaching Resource Management System Based on Genetic Algorithm -- The Difference and Forecast Analysis of the Eastern and Western Economic Development Based on Big Data Inform -- The influence of computer aided system teaching on Vocabulary Learning -- The reform of accounting education in Colleges and Universities Based on cloud computing in the era of big data -- Construction of quality evaluation system for innovative and entrepreneurial talent training under artificial intelligence system -- Construction of multidimensional and dynamic college students' innovation and entrepreneurship platform based on school-enterprise cooperation -- The cultivation path and construction exploration of college students' cultural confidence based on the information platform -- Based on big data analysis of the phased development of China's marketing -- Exploring the practical teaching of a specialized interim course in electronic information engineering under the background of artificial intelligence -- Research on Interactive English grammar learning system based on Android platform -- Research on the application of computer technology in the dissemination and promotion of folk art culture -- Research on the application of Data Mining in The Quality analysis of College English Teaching -- Research on the application of data mining technology in physical training -- Research on the transformation of Financial Accountants in manufacturing enterprises under the background of cloud computing -- Research on the teaching design of public management in the era of "Internet +" -- The reproduction of foreign language learning simulation scene based on virtual reality -- The Design of the English Teaching Resource Management System Based on Collaborative Recommendation -- The direction of English teaching reform in the context of Internet plus -- The path of English subject under genetic algorithm in the construction of college campus culture -- Application of computer network technology in enterprise information management -- Research on Feature Picking of Domestic Waste Sorting Based on Neural Network Training -- Optimization of extraction technology of index components of mountain bean root by orthogonal test based on information entropy weighting method -- Mechatronics design of silkworm frame automatic shelving in intelligent silkworm rearing system -- Kinematics simulation of mulberry spraying plant protection robot -- Design of elevated silkworm frame leaf feeding system -- Design of English teaching resource management system based on Collaborative Recommendation -- Discusses the relationship between the first excitation energy of the nucleus and the magic number -- Design and implementation of English grammar error correction system based on deep learning -- Design of children and adolescents' physical health intervention system based on genetic algorithm -- Application of fuzzy data mining algorithm in human resource management of power industry -- Using deep convolution neural network to detect the wrong movement in physical education teaching and training -- Design of vocabulary query system in computer aided English translation teaching -- Application of data mining technology in university education management -- Exploration of course teaching reform based on the construction of teaching resource base under neural network -- Research on sales simulation teaching system based on Data Mining -- Visual monitoring method of digital computer room based on digital twin -- A Survey of Trendy Financial Sector Applications of Machine and Deep Learning.…”
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    AI unveiled / by Ozdemir, Sinan, Safari Books Online

    Published: Pearson, 2023
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    AI for finance / by Safari Books Online

    Published: Packt Publishing, 2019
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    Artificial intelligence applications and innovations : 17th IFIP WG 12.5 international conference, AIAI 2021, Hersonissos, Crete, Greece, June 25-27, 2021 : proceedings / by IFIP TC12 WG12.5--IFIP Conference on Artificial Intelligence Applications and Innovations Hersonissos, Crete, Greece, SpringerLink (Online service)

    Published: Springer, 2021
    Table of Contents: “…Adaptive Modeling, Neuroscience -- If Only I Would Have Done That...A Controlled Adaptive Network Model for Learning by Counterfactual Thinking -- A Computational Model for the Second-Order Adaptive Causal Relationships between Anxiety, Stress and Physical Exercise -- AI in Biomedical Applications -- ebioMelDB: Multi-modal database for melanoma and its application on estimating patient prognosis -- Improved Biomedical Entity Recognition via longer context modelling -- Scalable NPairLoss-based Deep-ECG for ECG Verification -- A Comparative Study of Embedded Feature Selection Methods on Microarray data -- AI Impacts/Big Data -- The AI4Media project: Use of Next-generation Artificial Intelligence Technologies for Media Sector Applications -- Regression Predictive Model to analyze Big Data Analytics in Supply Chain Management -- Automated Machine Learning -- An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption -- An Ontology-Based Concept for Meta AutoML -- Object Migration Automata for Non-Equal Partitioning Problems with Known Partition Sizes -- Autonomous Agents -- Enhanced Security Framework for Enabling Facial Recognition in Autonomous Shuttles Public Transportation during COVID-19 -- Evaluating Task-General Resilience Mechanisms in a Multi-Robot Team Task -- Clustering -- A Multi-View Clustering Approach for Analysis of Streaming Data -- Efficient Approaches for Density-Based Spatial Clustering of Applications with Noise -- Self-organizing maps for optimized robotic trajectory planning applied to surface coating -- Convolutional Neural Networks -- An autoencoder convolutional neural network framework for Sarcopenia detection based on multi-frame ultrasound image slices -- Automatic Classification of XCT Images in Manufacturing -- Cross-lingual Approaches for Task-specific Dialogue ActRecognition -- Just-in-time Biomass Yield Estimation with Multi-Modal Data and Variable Patch Training Size -- Robustness testing of AI systems: A case study for traffic sign recognition -- Data Mining/ Word Counts -- BIBLIOBICLUSTER: A bicluster algorithm for Bibliometrics -- Topic identification via human interpretation of word clouds: The case of Instagram hashtags -- Deep Learning -- A Comparative Study of Deep Learning Techniques for Financial Indices Prediction -- An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering -- Collaborative Edge-Cloud Computing for Personalized Fall Detection -- Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection -- Neural Network Compression Through Shunt Connections and Knowledge Distillation for Semantic Segmentation Problems -- System-wide anomaly detection of industrial control systems via deep learning and correlation analysis -- Verification of Size Invariance in DNN Activations using Concept Embeddings -- Artificial Intelligence in Music Composition -- Deep Learning and AI for Optimization in 5G Technology -- Fuzzy Modeling -- Intuitionistic Fuzzy Neural Network for Time Series Forecasting - The Case of Metal Prices -- Hyperdimensional Computing -- PQ-HDC: Projection-based Quantization Scheme for Flexible and Efficient Hyperdimensional Computing -- Hyperdimensional Computing with Learnable Projection for User Adaptation Framework -- Internet of Things/Internet of Energy --AVE--an Integrated Approach of Personal and Home Safety for Active Assisted Living -- BEMS in the Era of Internet of Energy: A Review -- Machine Learning -- A Survey of Methods for Detection and Correction of Noisy Labels in Time Series Data -- An automated tool to support an intelligence learner management system using Learning Analytics and Machine Learning -- Classification of Point Clouds with Neural Networks and Continuum-Type Memories -- Cyber Supply Chain Threat Analysis and Prediction using Machine Learning and Ontology -- Intelligent Techniques and Hybrid Systems Experiments Using the Acumen Modeling and Simulation Environment -- Predicting CO2 Emissions for Buildings Using Regression and Classification -- Robust Pose Estimation Based on Maximum Correntropy Criterion -- The Generative Adversarial Random Neural Network -- Using Machine Learning Methods to Predict Subscriber Churn of a Web-based Drug Information Platform -- Analysis and Prediction for House Sales Price Using a Hybrid Machine Learning Approach -- Multi Agent Systems -- Dynamic Plume Tracking Utilizing Symbiotic Heterogeneous Remote Sensing Platforms -- Improving the flexibility of production scheduling in flat steel production through standard and AI-based approaches: challenges and perspectives -- Natural Language -- A comparative assessment of state-of-the-art methods for multilingual unsupervised keyphrase extraction -- An Approach Utilizing Linguistic Features for Fake News Detection -- CEA-TM: A Customer Experience Analysis framework based on Contextual-aware Topic Modeling approach -- Machine Learning Meets Natural Language Processing - The story so far -- SemAI: A Novel Approach for Achieving Enhanced Semantic Interoperability in Public Policies -- Recommendation Systems -- Optimization of Multi-Stakeholder Recommender Systems for Diversity and Coverage -- Recommending Database Architectures For Social Queries: A Twitter Case Study -- Science4Fashion: An Autonomous Recommendation System for Fashion Designers -- Sentiment Analysis -- A two-step optimised BERT-based NLP algorithm for extracting sentiment from financial news -- Learning Sentiment-aware Trading Strategies for Bitcoin leveraging Deep Learning-based Financial News Analysis -- Smart Blockchain Applications/ Cybersecurity -- Federated Blockchained Supply Chain Management: A CyberSecurity and Privacy Framework -- Validation and Verification for Data Marketplaces.…”
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    Artificial intelligence research and development : proceedings of the 23rd International Conference of the Catalan Association for Artificial Intelligence / by Catalonian Conference on AI Online, PALCI EBSCO books, IOS Press

    Published: IOS Press, 2021
    Table of Contents: “…Intro -- Title Page -- Preface -- Conference Organization -- Contents -- Invited Talks -- Digital Public Health Technologies and Social Media in Global Emergencies -- Automated Reasoning in Explainable AI -- Combinatorial Problem Solving and Logics for Artificial Intelligence -- On Probabilistic Logical Argumentation -- Application of CMSA to the Minimum Positive Influence Dominating Set Problem -- From Non-Clausal to Clausal MinSAT -- Perceptual Maps to Aggregate Information from Decision Makers -- On the Temperature of SAT Formulas…”
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    Deep learning. by Safari Books Online

    Published: Packt Publishing, 2023
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    Hybrid artificial intelligence systems : 16th international conference, HAIS 2021, Bilbao, Spain, September 22-24, 2021 : proceedings / by HAIS (Conference) Bilbao, Spain), SpringerLink (Online service)

    Published: Springer, 2021
    Table of Contents: “…Application for Predicting the Force-Displacement Curve in T-stub Steel Connections -- Content-based authorship identification for short texts in Social Media Networks -- A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection -- Bio-inspired Models and Evolutionary Computation -- Remaining Useful Life Estimation Using a Recurrent Variational Autoencoder -- Open-ended Learning of Reactive Knowledge in Cognitive Robotics based on Neuroevolution -- Managing gene expression in evolutionary algorithms with gene regulatory networks -- Evolutionary Optimization of Neuro-symbolic Integration for Phishing URL Detection -- Interurban Electric Vehicle Charging Stations through Genetic Algorithms -- An Effective Hybrid Genetic Algorithm for Solving the Generalized Traveling Salesman Problem -- A Simple Genetic Algorithm for the Critical Node Detection Problem -- Learning Algorithms -- Window Size Optimization for GaussianProcesses in Large Time Series Forecasting -- A binary classification model for toxicity prediction in drug design -- Structure Learning of High-Order Dynamic Bayesian Networks via Particle Swarm Optimization with Order Invariant Encoding -- Prototype Generation for Multi-label Nearest Neighbours Classification -- Learning Bipedal Walking Through Morphological Development -- Ethical Challenges from Artificial Intelligence to Legal Practice -- Visual Analysis and Advanced Data Processing Techniques -- Classification of burrs using contour features of image in milling workpieces -- Adaptive Graph Laplacian for Convex Multi-Task Learning SVM -- Fight detection in images using postural analysis -- Applying Vector Symbolic Architecture and Semiotic Approach to Visual Dialog -- Transfer Learning study for horses breeds images datasets using pre-trained ResNet Networks -- Machine Learning Applications -- Fraudulent e-commerce websites detection through machine learning -- More Interpretable Decision Trees -- Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models -- Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-ray Case Study -- Hybrid Intelligent Applications -- Speech emotion recognition by conventional machine learning and deep learning -- Predictive Maintenance of Vehicle Fleets using Hierarchical Modified Fuzzy Support Vector Machine for Industrial IoT Datasets -- Super Local Models for Wind Power Detection -- A Comparison of Blink Removal Techniques in EEG signals -- Hybrid intelligent model for switching modes classification in a half-bridge buck converter -- Hybrid model to calculate the State Of Charge of a battery -- Distance Metric Learning with Prototype Selection for Imbalanced Classification -- Enhancing Place Inference via Fuzzy Ranking Using Fuzzy Similarity and Agreeability -- A Hybrid Intelligent System to Detect Anomalies in Robot Performance -- Counter intuitive COVID-19 propagation dynamics in Brazil -- A Hybrid Bio-inspired Tabu Search Clustering Approach -- A Non-parametric Fisher Kernel -- Deep Learning Applications -- Hybrid deep learning approach for efficient outdoor parking monitoring in smart cities -- Personal cognitive assistant: personalization and action scenarios expansion -- Nowcasting for Improving Radon-222 Forecasting at Canfranc Underground Laboratory -- Analysis of the seasonality in a geothermal system using projectionist and clustering methods -- A model-based deep transfer learning algorithm for phenology forecasting using satellite imagery -- Deep Transfer Learning for interpretable Chest X-Ray diagnosis -- Companion Losses for Deep Neural Networks -- Financial Forecasting via Deep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series -- A preliminary analysis on software frameworks for the development of spiking neural networks -- Edge AI for Covid-19 detection using coughing -- Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants -- A hybrid post-hoc interpretability approach for deep neural networks -- Deep Learning Applications on Cybersecurity -- Optimization Problem Applications -- A Parallel Optimization Solver for the Multi-period WDND problem -- Waste Collection Vehicle Routing Problem using filling predictions -- Optimization of Warehouse Layout for the minimization of operation times -- Simple meta-optimization of the feature MFCC for public Emotional datasets classification.…”
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    Proceedings of the 2012 International Conference of Modern Computer Science and Applications by International Conference of Modern Computer Science and Applications Wuhan, China, SpringerLink (Online service)

    Published: Springer, 2013
    Table of Contents: “…Research on Analysis and Monitoring of Internet Public Opinion --…”
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