Wentworth
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Multimedia Techniques for Device and Ambient Intelligence edited by Jechang Jeong, Ernesto Damiani.
Published 2009Full text (Wentworth users only).
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Information Hiding and Applications edited by Jeng-Shyang Pan, Hsiang-Cheh Huang, Lakhmi C. Jain.
Published 2009Full text (Wentworth users only).
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Intelligent Data Engineering and Automated Learning – IDEAL 2020 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part II / edited by Cesar Anal...
Published 2020Table of Contents: “…Special Session on Data Generation and Data Pre-processing in Machine Learning -- A Preprocessing Approach for Class-imbalanced Data using SMOTE and Belief Function Theory -- Multi-Agent Based Manifold Denoising -- A Novel Evaluation Metric for Synthetic Data Generation -- Data Pre-processing and Data Generation in the Student Flow Case Study -- Enhanced Credit Prediction using Artificial Data -- Data Generation Using Gene Expression Generator -- Stabilisation of Dataset Matrix Form for Classification Dataset Generation and Algorithm Selection -- Special Session on Optimization and Machine Learning for Industry 4.0 -- Distributed Coordination of Heterogeneous Robotic Swarms using Stochastic Diffusion Search -- An Intelligent Procedure for the Methodology of Energy Consumption in Industrial Environments -- Unified Performance Measure for Binary Classification Problems -- Data Augmentation for Industrial Prognosis using Generative Adversarial Networks -- A Comparison of Evolutionary Multi-Objective Optimization Algorithms Applied to Antenna Design -- Special Session on Practical Applications of Deep Learning -- Cloud Type Identification Using Data Fusion and Ensemble Learning -- Deep Learning in Aeronautics: Air Traffic Trajectory Classification Based on Weather Reports -- Analysis of Hand-Crafted and Automatic-Learned Features for Glaucoma Detection Through Raw Circumpapillary OCT Images -- Video Semantics Quality Assessment using Deep Learning -- A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines -- Predicting Recurring Telecommunications Customer Support Problems using Deep Learning -- Pre- and Post-processing on Generative Adversarial Networks for Old Photos Restoration: A Case Study -- On Analysing Similarity Knowledge Transfer by Ensembles -- Special Session on New trends and challenges on Social Networks Analysis -- Social Network Recommender System, a Neural Network Approach -- Exploring Multi-objective Cellular Genetic Algorithms in Community Detection Problems -- Special Session on Machine Learning in Automatic Control -- Under-Actuation Modelling in Robotic Hands via Neural Networks for Sign Language Representation with End-User Validation -- Exploratory Data Analysis of Wind and Waves for Floating Wind Turbines in Santa María, California -- Wind Turbine Pitch Control First Approach based on Reinforcement Learning -- Intelligent Fuzzy Optimized Control for Energy Extraction in Large Wind Turbines -- Special Session on Emerging Trends in Machine Learning -- Autoencoder Latent Space Influence on IoT MQTT Attack Classification -- A Recommendation System of Nutrition and Physical Activity for Patients with Type 2 Diabetes Mellitus -- A Comparative Analysis between Crisp and Fuzzy Data Clustering Approaches for Traditional and Bioinspired Algorithms -- Bridging the Gap of Neuroscience, Philosophy, and Evolutionary Biology to Propose an Approach to Machine Learning of Human-like Ethics -- Anticipating Maintenance in Telecom Installation Processes -- Meta-Hyperband: Hyperparameter Optimization with Meta-Learning and Coarse-to-Fine -- Stateful Optimization in Federated Learning of Neural Networks -- Talking in Italian about AI with a Chatbot: a Prototype of a Question-Answering Agent -- Review of Trends in Automatic Human Activity Recognition in Vehicle based in Synthetic Data -- Special Session on Machine Learning, Law and Legal Industry -- Intellectual Properties of Artificial Creativity: Dismantling Originality in European’s Legal Framework -- Network Analysis for Fraud Detection in Portuguese Public Procurement -- Biased Language Detection in Court Decisions -- Special Session on Machine Learning Algorithms for Hard Problems -- A One-by-One Method for Community Detection in Attributed Networks -- A Hybrid Approach to the Analysis of a Collection of Research Papers -- Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images -- Special Session on Automated learning for industrial applications -- Time Series Clustering for Knowledge Discovery on Metal Additive Manufacturing -- Quaternion Neural Networks: State-of-the-art and Research Challenges -- A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes -- A Fault Detection System for Power Cells During Capacity Confirmation Test Through a Global One-Class Classifier -- A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects -- Improving Performance of Recommendation System Architecture -- Automated Learning of In-vehicle Noise Representation with Triplet-loss Embedded Convolutional Beamforming Network -- Sequence Mining for Automatic Generation of Software Tests from GUI Event Traces -- Deep Learning Based Algorithms for Welding Edge Points Detection -- Detecting Performance Anomalies in the Multi-Component Software a Collaborative Robot -- Prediction of Small-Wind Turbine Performance from Time Series Modelling using Intelligent Techniques -- Review of Trends in Automatic Human Activity Recognition using Synthetic Audio-Visual Data -- Atmospheric Tomography using Convolutional Neural Networks -- Workshop on Machine Learning in Smart Mobility -- Driver Monitoring System Based on CNN Models: An Approach for Attention Level Detection -- Road Patterns Identification and Risk Analysis based on Machine Learning framework: Powered Two-Wheelers Case -- Towards Predicting Pedestrian Paths: Identifying Surroundings from Monocular Video -- A Semi-automatic Object Identification Technique Combining Computer Vision and Deep Learning for the Crosswalk Detection Problem -- Using Deep Learning to Construct a Real-Time Road Safety Model; Modelling the Personal Attributes for Cyclist.…”
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Rising Threats in Expert Applications and Solutions Proceedings of FICR-TEAS 2022 / edited by Vijay Singh Rathore, Subhash Chander Sharma, Joao Manuel R.S. Tavares, Catarina Moreir...
Published 2022Table of Contents: “…A Novel Approach for Detecting Online Malware Detection Using Performance Metrics Using LSTMRNN and BRNN Based Recurrent Neural Network in Cloud Environment -- Analytical Study of Augmented Reality Simulation System Application on Paintings -- A New Model SATV for Sentiment Analysis of Hinglish Sentences -- Characterization of Molecular Dynamic Trajectory using K-means clustering -- Data Warehouse Modernization using Document-Oriented ETL Framework for Real Time Analytics -- Opinion Mining for Breast Cancer Disease Using Apriori and K-Modes Clustering Algorithm -- Deep learning approach based on ADASYN for detection of Web attacks in the CICIDS2017 dataset -- FUNDUS and OCT Image Classification using Deep Learning Techniques -- A Secure Framework for the Deployment of Microservices using Cloud Container Technology -- Time Series Analytics – A fuel to Data Science in forecasting Analytics for time stamped data -- Sparse Autoencoder and Deep learning based Framework for Multi-label Classification of Chronic Diseases -- A Comparative study of different machine learning based feature extraction techniques in bacterial image classification -- Cloud removal and satellite image reconstruction using Deep Learning based Image inpainting approaches -- A Novel Cipher Technique using Substitution and Transposition Methods -- Edge Computing: State of Art with Current challenges and future opportunities -- Deep Learning and Machine Learning Approaches for the Classification of Personality Traits: Review -- Two Level Priority Task Scheduling Algorithm For Real Time IoT Based Storage Condition Assessment System -- Intrusion Detection of Internet of Things Botnet Attacks using Data Mining Technique -- Code Tamper-proofing using Return Oriented Programming in IoT Devices -- Conversion of Punjabi Sign Language using Animation -- Deep Learning based Classification of Microscopic Fungal Images -- Application of Artificial Neural Network and Multiple Linear Regression in Predicting Consumer Attitude towards Use of Mobile Wallet -- Securing Unauthorized Access to Cloud Data Storage -- A Survey on Water Usage Optimization using Artificial Intelligence in Agricultural Sector -- The Role of Artificial Neural Network in Word Sense Disambiguation (WSD) - A Survey -- Covid-19 Challenges for digital education and critical analysis -- Cloud Computing: Concepts and Techniques with Service Provider Analysis -- Analyzing Frequency Rhythms in Posed and Spontaneous Emotions Using Time- Intensity of EEG Signals -- Improving Classification Performance Using The Semi-Pivoted QR approximation algorithm -- Comparative Study on Video Based Face Recognition Methods -- An Innovative Framework based Algorithmic Approach for Object Detection -- Smart Bus Concept of COVID-19 Prevention using Face-Bio Keys -- Data Integration Solutions - A Key to the Cloud Migration -- A Proposed Structure, primarily based totally on Cloud Computing for Enhancing Electronic Commerce Applications -- Deep Learning and Internet of Things (IoT) Based Irrigation System for Cultivation of Paddy Crop -- Review of Machine Learning Techniques for Analysis of Medical Data Sets -- Incorporating contextual information in prediction based word embedding models -- Distributed Cloud Data Center for Efficient Services in Logistics Management -- Plants Disease Detection using Image Processing using Tensor flow: A boon to agriculture -- Data Visualisation using Self-Organising Maps -- SQL Injection Attacks, Detection Techniques on Web Application Databases -- Deep Learning Based Brain Tumor Segmentation: Recent Updates -- Mobile Application for Smart Agriculture in India: "An Analytical Approach" -- Offline handwritten character recognition of Gujarati characters using convolutional neural network -- Forecasting Solar Energy on Time Frame: A Review -- Framework for Faster Index Search -- Image Classification by Optimized Convolution Neural Networks -- Benefits of Mining Fashion Data -- Current state of Engineering Education in India: Student Teacher scenario in online mode -- Estimating Blockchain using Time-series forecasting ARIMA -- Analyzing Online Reviews of Customers using Machine Learning Techniques -- Assessing between-group differences in implementation of Lean Six Sigma management conception -- Boosting Blockchain Mechanism using Cryptographic Algorithm in WSN -- Virtual Try-On using Augmented Reality -- Fractures Classification and Detection Using DIP And ML -- Sentiment Analysis in Social Media Website -- Artificial Intelligence based Techniques for Underwater Image Restoration and Enhancement.…”
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Sensor projects with Raspberry Pi : internet of things and digital image processing / Guillermo Guillen.
Published 2024Table of Contents: “…What's the Difference Between OT and the IoT? -- Digital Image Processing -- History -- Tasks -- Classification -- Feature Extraction -- Multiscale Signal Analysis -- Pattern Recognition -- Projection -- Techniques -- Image Editing -- Image Restoration -- Neural Networks -- Filtering -- Convolution -- Applications -- Digital Camera Images -- Film -- Artificial Intelligence -- Turing Test -- Dartmouth Conference -- Perceptron -- Birth of AI -- Deep Learning Revolution -- Computer Vision -- Machine Learning -- Computational Artificial Intelligence -- Edge Impulse -- Why TensorFlow and Edge Impulse?…”
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