Intelligence of Things: Technologies and Applications : The First International Conference on Intelligence of Things (ICIT 2022), Hanoi, Vietnam, August 17–19, 2022, Proceedings / / edited by Ngoc-Thanh Nguyen, Nhu-Ngoc Dao, Quang-Dung Pham, Hong Anh Le |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
Descrizione fisica | 1 online resource (435 pages) |
Disciplina | 006.3 |
Collana | Lecture Notes on Data Engineering and Communications Technologies |
Soggetto topico |
Engineering—Data processing
Computational intelligence Cooperating objects (Computer systems) Artificial intelligence Data Engineering Computational Intelligence Cyber-Physical Systems Artificial Intelligence |
ISBN | 3-031-15063-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Structural Health Monitoring and IoT: Opportunities and Challenges -- Semantic Interoperability Issues and Challenges in IoT: A Brief Review -- An Intelligent Method Based on Dissimilarity Measure Picture Fuzzy and Apply to Supplier Selection -- A New Intelligent Computing Method for Scheduling and Crashing Projects with Fuzzy Activity Completion Times -- A Study of Filter-Based Feature Selection in Software Fault Prediction -- Applying Lecturer Expectation and Learning Retention to an Adaptive Learning System -- An Intelligent Approach for Multi-Criterial Decision Making using Similarity of Intuitionistic Fuzzy Sets -- Edge Computing For Wireless Sensor Network -- Mathematical Expression Detection in Camera Captured Document Images -- A-DEM: The Adaptive Approximate Approach for the Real Scheduling Problem -- A Framework to Verify the ABAC Policies in Web Applications -- Aspect-based Sentiment Analysis with Deep Learning: A Multidomain and Multitask Approach -- Combined Local and Global Features for Action Recognition from Motion Sensors -- Combining Artificial Intelligence with the Internet of Things in Microalgae Cultivation -- Computer-Aided Provisional Diagnosis System Using Machine Learning. |
Record Nr. | UNINA-9910590071503321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Intelligent Information and Database Systems [[electronic resource] ] : 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24–26, 2023, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumiła Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (472 pages) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Computer networks Database management Data mining Information storage and retrieval systems Application software Artificial Intelligence Computer Communication Networks Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Computer and Information Systems Applications |
ISBN | 981-9958-34-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Case-Based Reasoning and Machine Comprehension -- On the improvement of the reasoning cycle in case-based reasoning -- Exploring incompleteness in Case-Based Reasoning: a strategy for overcoming challenge -- Leveraging both Successes and Failures in Case-Based Reasoning for Optimal Solutions -- Transfer Learning for Abnormal Behaviors Identification in Examination Room from Surveillance Videos: A Case Study in Vietnam -- A Novel Question-Context Interaction Method for Machine Reading Comprehension -- Granular Computing to Forecast Alzheimer’s Disease Distinctive Individual Development -- Computer Vision -- AdVLO: Region selection via Attention-driven for Visual LiDAR Odometry -- Intelligent Retrieval System on Legal Information -- VSNet: Vehicle State Classification for Drone Image with Mosaic Augmentation and Soft-label Assignment -- Creating High-Resolution Adversarial Images against Convolutional Neural Networks with the Noise Blowing-Up Method -- Faster Imputation Using Singular Value Decomposition for Sparse Data -- Combination of deep learning and ambiguity rejection for improving image-based disease diagnosis -- Data Mining and Machine Learning -- Towards Developing an Automated Chatbot for Predicting Legal Case Outcomes: A Deep Learning Approach -- Fuzzy-Based Factor Evaluation System for Momentum Overweight Trading Strategy -- Enhancing Abnormal-Behavior-based Stock Trend Prediction Algorithm with Cost-sensitive Learning Using Genetic Algorithms -- Leveraging Natural Language Processing in Persuasive Marketing -- Direction of the Difference between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn Prediction -- Tree-based Unified Temporal Erasable-itemset Mining -- Design Recovery of Data Model Hidden in JSON File -- Accurate lightweight calibration methods for mobile low-cost particulate matter sensors -- Generating music for video games with real-time adaptation to gameplay pace -- Detecting Sensitive Data with GANs and Fully Convolutional Networks -- An Unsupervised Deep Learning Framework for Anomaly Detection -- Extracting top-k high utility patterns from multi-level transaction databases -- Lightweight and Efficient Privacy-Preserving Multimodal Representation Inference via Fully Homomorphic Encryption -- Neural Machine Translation with Diversity-enabled Translation Memory -- GIFT4Rec: An effective side Information Fusion Technique apply to Graph neural network for cold-start recommendation -- A Decision Support System for Improving Lung Cancer Prediction based on ANN -- Emotion detection from text in social networks -- Finite Libby-Novick Beta Mixture Model: An MML-Based Approach -- Artificial Intelligences on Automated Context-Brain Recognition with Mobile Detection Devices -- A Novel Meta-Heuristic Search Based on Mutual Information for Filter-Based Feature Selection -- Discovering prevalent co-location patterns without collecting co-location instances -- Integrating Geospatial Tools for Air Pollution Prediction: A Synthetic City Generator Framework for Efficient Modeling and Visualization -- Design of an Automated CNN Composition Scheme with Lightweight Depth-Correlated Convolution for Space-Limited Applications. |
Record Nr. | UNISA-996550561603316 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Intelligent Information and Database Systems [[electronic resource] ] : 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24–26, 2023, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumiła Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (400 pages) |
Disciplina | 060 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Computer networks Database management Data mining Information storage and retrieval systems Application software Artificial Intelligence Computer Communication Networks Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Computer and Information Systems Applications |
ISBN | 981-9958-37-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Knowledge Integration and Analysis -- A New Data Transformation and Resampling Approach for Prediction of Yield Strength of High-Entropy Alloys -- A Semi-Formal Approach to Describing Semantics of Data Modeling Patterns -- Obfuscating LLVM IR with the Application of Lambda Calculus -- Structural and Compact Latent Representation Learning on Sparse Reward Environments -- A Survey of Explainable Artificial Intelligence Approaches for Sentiment Analysis -- Social collective model of non-internet social networks -- A Data-driven Scheduling Strategy for Mobile Air Quality Monitoring Devices -- Hybrid approaches to sentiment analysis of social media data -- Integrating Ontology-based Knowledge to Improve Biomedical Multi-Document Summarization Model -- An Improvement of Diachronic Embedding for Temporal Knowledge Graph Completion -- DCA-based weighted bagging: A new ensemble learning approach -- Deep-learning- and GCN-based Aspect-level Sentiment Analysis Methods on Balanced and Unbalanced Datasets -- Applying the Malmquist productivity index model to assess the performance of the coffee enterprise in DakLak Vietnam -- A Cluster-Constrained Graph Convolutional Network for Protein– Protein Association networks -- Fuzzy logic framework for ontology concepts alignment -- Can Ensemble Calibrated Learning enhance Link Prediction? A Study on Commonsense Knowledge -- Multi-criteria Approaches to Explaining Black Box Machine Learning Models -- Improving Loss Function for Polyp Detection Problem -- Flow Plugin Network for Conditional Generation -- Speech and Text Processing -- Investigating the Impact of Parkinson’s Disease on Brain Computations An Online Study of Healthy Controls and PD Patients -- Speech Enhancement using Dynamical Variational AutoEncoder -- Vietnamese Multidocument Summarization using Subgraph Selection-based Approach with Graph-informed Self-attention mechanism -- NegT5: A Cross-Task Text-to-Text Framework for Negation in Question Answering -- An Empirical Study on Punctuation Restoration for English, Mandarin, and Code-switching Speech -- Novel Topic Models for Parallel Topics Extraction from Multilingual Text -- Adapting Code-Switching Language Models with Statistical-Based Text Augmentation -- Improving Hotel Customer Sentiment Prediction by Fusing Review Titles and Contents -- Resource management and optimization -- In support of push-based streaming for the computing continuum -- Effective method of implementing constrained optimization problems using data instances -- Scheduling Deep Learning Training in GPU Cluster Using the Model-similarity-based Policy. |
Record Nr. | UNISA-996550561703316 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Intelligent Information and Database Systems : 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24–26, 2023, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumiła Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (472 pages) |
Disciplina | 006.3 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Computer networks Database management Data mining Information storage and retrieval systems Application software Artificial Intelligence Computer Communication Networks Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Computer and Information Systems Applications |
ISBN | 981-9958-34-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Case-Based Reasoning and Machine Comprehension -- On the improvement of the reasoning cycle in case-based reasoning -- Exploring incompleteness in Case-Based Reasoning: a strategy for overcoming challenge -- Leveraging both Successes and Failures in Case-Based Reasoning for Optimal Solutions -- Transfer Learning for Abnormal Behaviors Identification in Examination Room from Surveillance Videos: A Case Study in Vietnam -- A Novel Question-Context Interaction Method for Machine Reading Comprehension -- Granular Computing to Forecast Alzheimer’s Disease Distinctive Individual Development -- Computer Vision -- AdVLO: Region selection via Attention-driven for Visual LiDAR Odometry -- Intelligent Retrieval System on Legal Information -- VSNet: Vehicle State Classification for Drone Image with Mosaic Augmentation and Soft-label Assignment -- Creating High-Resolution Adversarial Images against Convolutional Neural Networks with the Noise Blowing-Up Method -- Faster Imputation Using Singular Value Decomposition for Sparse Data -- Combination of deep learning and ambiguity rejection for improving image-based disease diagnosis -- Data Mining and Machine Learning -- Towards Developing an Automated Chatbot for Predicting Legal Case Outcomes: A Deep Learning Approach -- Fuzzy-Based Factor Evaluation System for Momentum Overweight Trading Strategy -- Enhancing Abnormal-Behavior-based Stock Trend Prediction Algorithm with Cost-sensitive Learning Using Genetic Algorithms -- Leveraging Natural Language Processing in Persuasive Marketing -- Direction of the Difference between Bayesian Model Averaging and the Best-Fit Model on Scarce-Data Low-Correlation Churn Prediction -- Tree-based Unified Temporal Erasable-itemset Mining -- Design Recovery of Data Model Hidden in JSON File -- Accurate lightweight calibration methods for mobile low-cost particulate matter sensors -- Generating music for video games with real-time adaptation to gameplay pace -- Detecting Sensitive Data with GANs and Fully Convolutional Networks -- An Unsupervised Deep Learning Framework for Anomaly Detection -- Extracting top-k high utility patterns from multi-level transaction databases -- Lightweight and Efficient Privacy-Preserving Multimodal Representation Inference via Fully Homomorphic Encryption -- Neural Machine Translation with Diversity-enabled Translation Memory -- GIFT4Rec: An effective side Information Fusion Technique apply to Graph neural network for cold-start recommendation -- A Decision Support System for Improving Lung Cancer Prediction based on ANN -- Emotion detection from text in social networks -- Finite Libby-Novick Beta Mixture Model: An MML-Based Approach -- Artificial Intelligences on Automated Context-Brain Recognition with Mobile Detection Devices -- A Novel Meta-Heuristic Search Based on Mutual Information for Filter-Based Feature Selection -- Discovering prevalent co-location patterns without collecting co-location instances -- Integrating Geospatial Tools for Air Pollution Prediction: A Synthetic City Generator Framework for Efficient Modeling and Visualization -- Design of an Automated CNN Composition Scheme with Lightweight Depth-Correlated Convolution for Space-Limited Applications. |
Record Nr. | UNINA-9910743691103321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Intelligent Information and Database Systems : 15th Asian Conference, ACIIDS 2023, Phuket, Thailand, July 24–26, 2023, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Siridech Boonsang, Hamido Fujita, Bogumiła Hnatkowska, Tzung-Pei Hong, Kitsuchart Pasupa, Ali Selamat |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (400 pages) |
Disciplina | 060 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Computer networks Database management Data mining Information storage and retrieval systems Application software Artificial Intelligence Computer Communication Networks Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Computer and Information Systems Applications |
ISBN | 981-9958-37-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Knowledge Integration and Analysis -- A New Data Transformation and Resampling Approach for Prediction of Yield Strength of High-Entropy Alloys -- A Semi-Formal Approach to Describing Semantics of Data Modeling Patterns -- Obfuscating LLVM IR with the Application of Lambda Calculus -- Structural and Compact Latent Representation Learning on Sparse Reward Environments -- A Survey of Explainable Artificial Intelligence Approaches for Sentiment Analysis -- Social collective model of non-internet social networks -- A Data-driven Scheduling Strategy for Mobile Air Quality Monitoring Devices -- Hybrid approaches to sentiment analysis of social media data -- Integrating Ontology-based Knowledge to Improve Biomedical Multi-Document Summarization Model -- An Improvement of Diachronic Embedding for Temporal Knowledge Graph Completion -- DCA-based weighted bagging: A new ensemble learning approach -- Deep-learning- and GCN-based Aspect-level Sentiment Analysis Methods on Balanced and Unbalanced Datasets -- Applying the Malmquist productivity index model to assess the performance of the coffee enterprise in DakLak Vietnam -- A Cluster-Constrained Graph Convolutional Network for Protein– Protein Association networks -- Fuzzy logic framework for ontology concepts alignment -- Can Ensemble Calibrated Learning enhance Link Prediction? A Study on Commonsense Knowledge -- Multi-criteria Approaches to Explaining Black Box Machine Learning Models -- Improving Loss Function for Polyp Detection Problem -- Flow Plugin Network for Conditional Generation -- Speech and Text Processing -- Investigating the Impact of Parkinson’s Disease on Brain Computations An Online Study of Healthy Controls and PD Patients -- Speech Enhancement using Dynamical Variational AutoEncoder -- Vietnamese Multidocument Summarization using Subgraph Selection-based Approach with Graph-informed Self-attention mechanism -- NegT5: A Cross-Task Text-to-Text Framework for Negation in Question Answering -- An Empirical Study on Punctuation Restoration for English, Mandarin, and Code-switching Speech -- Novel Topic Models for Parallel Topics Extraction from Multilingual Text -- Adapting Code-Switching Language Models with Statistical-Based Text Augmentation -- Improving Hotel Customer Sentiment Prediction by Fusing Review Titles and Contents -- Resource management and optimization -- In support of push-based streaming for the computing continuum -- Effective method of implementing constrained optimization problems using data instances -- Scheduling Deep Learning Training in GPU Cluster Using the Model-similarity-based Policy. |
Record Nr. | UNINA-9910743693803321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Recent Challenges in Intelligent Information and Database Systems : 16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, Ras Al Khaimah, UAE, April 15–18, 2024, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Le Minh Nguyen, Krystian Wojtkiewicz |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (386 pages) |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Image processing - Digital techniques Computer vision Social sciences - Data processing Artificial Intelligence Computer Engineering and Networks Computer Imaging, Vision, Pattern Recognition and Graphics Computer Communication Networks Computer Application in Social and Behavioral Sciences |
ISBN | 981-9759-37-4 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | -- AI-driven Cybersecurity Solutions. -- Security aspects of digital identity. -- Efficient Deep Learning Method For Detection Of Malware Attacks In Internet Of Things Networks. -- A Deep Neural Networks approach for Speaker Verification on Embedded Devices. -- Phishing Detection Using Ensemble of Classifiers. -- An Effective Ensemble Classification Algorithm for Intrusion Detection System. -- Mean-Square Consensus of Second-Order Multi-Agent Systems with Semi-Markov Switching for Non-periodic DoS attacks. -- AI-driven Medical Analytics. -- An Attention-Driven Hybrid Network for Survival Analysis of Tumorigenesis Patients Using Whole Slide Images. -- A Deep Learning Approach to Diabetes Diagnosis. -- A novel approach for Medical E-Consent: Leveraging Language Models for Informed Consent Management. -- Multi-scale and Multi-level Attention based on External knowledge in EHRs. -- Exploring XAI attention maps to investigate the effect of distance metric and lesion-shaped border expansion size for effective content-based dermatological lesion retrieval. -- D-MiQ: Deep Multimodal Interactive Healthcare Query expansion approach for web search engines retrieval effectiveness. -- Computational Intelligence. -- Complexity of Transforming Decision Rule Systems into Decision Trees and Acyclic Decision Graphs. -- Depth of Deterministic and Nondeterministic Decision Trees for Decision Tables with Many-valued Decisions from Closed Classes. -- Gradient Overdrive: Avoiding Negative Randomness Effects in Stochastic Gradient Descent. -- Blockchain-based Educational Certification Systems Using A Modified Hash Algorithm. -- The Merged Longest Common Increasing Subsequence Problem. -- Applying transformation to reduce model sizes for Constrained Optimization Problems. -- Multiple Traveling Salesman Problem with a Drone Station: Using Multi-Package Payload Compartments. -- Unveiling the power of hybrid balancing techniques and ensemble stacked and blended classifiers for enhanced churn prediction. -- Improvement of a Forward Reasoning Engine FreeEnCal for Trust Reasoning. -- A structure based on B+trees to represent a large number of k-multisets stored in non-volatile memory. -- Optimizing Option Short Strangle Strategies through Genetic Algorithm. -- Data modelling and information systems. -- Optimizing Airline Pilots Training Plans: A Mixed Integer Linear Programming Approach. -- Towards an Ontological Approach for Verifying the Well-Formedness of Training Programs. -- Novel Knowledge Graph-Based Modeling for Vulnerability Detection in the Internet of Medical Things. -- Functional test generation based on requirements defined at GUI level. -- Penetration Testing and Security Assessment Model for Biomedical Devices. -- Cooperative User Interface for AGV – Proof of Concept. |
Record Nr. | UNINA-9910879582003321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Recent Challenges in Intelligent Information and Database Systems : 16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, Ras Al Khaimah, UAE, April 15–18, 2024, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Le Minh Nguyen, Krystian Wojtkiewicz |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (376 pages) |
Disciplina | 006.3 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Image processing - Digital techniques Computer vision Social sciences - Data processing Artificial Intelligence Computer Engineering and Networks Computer Imaging, Vision, Pattern Recognition and Graphics Computer Communication Networks Computer Application in Social and Behavioral Sciences |
ISBN | 981-9759-34-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | -- Image and Video Processing. -- Object Detection in Movies – Case Study. -- Leveraging Large Image-Caption Datasets for Multimodal Taxon Classification. -- Attention-Based Multi-Layer Perceptron to Categorize Affective Videos from Viewer’s Physiological Signals. -- Automatic Detection of Serve Actions in Tennis Videos. -- An Effective Image Synthesis Method to Solve The Shortage of Traffic Sign Training Images in Taiwan. -- Omni-TransPose: Fusion of OmniPose and Transformer Architecture for Improving Action Detection. -- Enhancing Thai Food Recognition through Multimodal Fusion of Image and Fourier Spectrum. -- SnapQuake: Damage Detection in Snapchat Videos for Earthquake Assessment. -- Lecture Video Summarization using Deep Learning. -- Philippine Lime (Calamansi) Disease Detection and Classification using YOLOv8 Model. -- Graphics and vision’s camera calibration and applications to neural radiance fields. -- Prediction and Recommendation Systems. -- LSTM based time series forecasting of noisy signals. -- Prediction of the Compressive Strength of Sustainable Concrete Produced with Powder Glass using Standalone and Stack Machine Learning Methods. -- Bag of Activities for Customer Churn Prediction in e-Book Subscription Domain. -- Forecasting WTI & Brent crude oil price using LSTM, Prophet and XGBoost – comparative analysis. -- Enhancing Scholarly Paper Recommendation by Modelling Diversity of Research Interests. -- Forecasting residential real estate prices using deep learning. -- Forecasting sales at fuel stations using a multilayer perceptron. -- News That Moves the Market: DSEX-News Dataset for Forecasting DSE Using BERT. -- Federated Learning for Predicting Irrigation Requirements in Multi-Farm Irrigation Scheduling Systems. -- Stepwise approach to automatically building an ensemble of classifiers on football data. -- Continual Learning based on Task Masking for Multi-Domain Recommendation. -- RegFlow: Probabilistic Flow-based Regression for Future Prediction. -- Text, Speech and Natural Language Processing. -- Assessing the Text Readability by Use of Language Model Embeddings. -- In search of grammar structures in authentic language materials: Enhancing semgrex for dependency trees. -- Designing processes and models of semantical differentiation for polyfunctional words in the Uzbek contexts. -- Development and Realization of Bigram Models for Recognizing Homonyms in the Uzbek Language. -- A study of Kazakh speech recognition in Hiformer model. -- A New Approach to Deriving Jaccard Similarity and Jaccard Distance Properties with and without Considering Feature Weights. |
Record Nr. | UNINA-9910879584003321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|