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Intelligent Human Computer Interaction : 15th International Conference, IHCI 2023, Daegu, South Korea, November 8-10, 2023, Revised Selected Papers, Part II
| Intelligent Human Computer Interaction : 15th International Conference, IHCI 2023, Daegu, South Korea, November 8-10, 2023, Revised Selected Papers, Part II |
| Autore | Choi Bong Jun |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (355 pages) |
| Altri autori (Persone) |
SinghDhananjay
TiwaryUma Shanker ChungWan-Young |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-031-53830-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- AI and Big Data -- Automated Fashion Clothing Image Labeling System -- 1 Introduction -- 2 Related Research -- 3 Fashion Clothing Image Labeling System -- 3.1 Dataset Collection -- 3.2 Image Preprocessing -- 3.3 Yolo Training and Labeling Results -- 4 Conclusion -- References -- AI-Based Estimation from Images of Food Portion Size and Calories for Healthcare Systems -- 1 Introduction -- 2 Dataset of Uzbek Foods -- 3 Proposed Method -- 4 Experimental Results and Analysis -- 5 Limitation and Future Work -- 6 Conclusions -- References -- Blockchain Technology as a Defense Mechanism Against Data Tampering in Smart Vehicle Systems -- 1 Introduction -- 2 Background and Literature Review -- 3 Data Tampering in Smart Vehicle Systems -- 4 Blockchain Technology as a Solution in Smart Vehicle Systems -- 4.1 Technical Foundations of Blockchain in Smart Vehicle Systems -- 4.2 Practical Implementations and Prototypes -- 5 Conclusion -- References -- Classification of Weeds Using Neural Network Algorithms and Image Classifiers -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Pre-processing -- 3.3 Classification Models Architectures and Algorithms -- 4 Results -- 5 Future Scope and Conclusion -- References -- Weed and Crop Detection in Rice Field Using R-CNN and Its Hybrid Models -- 1 Introduction -- 2 Related Work -- 3 Methods and Materials -- 3.1 Experimental Site and Image Acquisition -- 3.2 Data Pre-processing -- 4 Weed Detection Method -- 4.1 Regions with RCNN -- 4.2 Regions with RCNN-LSTM -- 4.3 Regions with RCNN-GRU -- 5 Results and Discussions -- 6 Conclusion -- References -- Deep Learning -- Spatial Attention Transformer Based Framework for Anomaly Classification in Image Sequences -- 1 Introduction -- 2 Related Study.
3 Proposed Framework -- 3.1 Spatial Attention Module (SAM) -- 3.2 Shifted Window Transformer (SWIN) -- 3.3 SST for Anomaly Detection -- 4 Experimental Results and Discussions -- 4.1 Datasets -- 4.2 Results and Discussions -- 5 Conclusions -- References -- Development of LSTM-Based Sentence Generation Model to Improve Recognition Performance of OCR System -- 1 Introduction -- 2 Related Works -- 3 LSTM-Based Sentence Generation Model -- 3.1 Training Dataset -- 3.2 Implemented LSTM Model -- 4 Experiments and Results -- 5 Conclusion -- References -- Satellite Imagery Super Resolution Using Classical and Deep Learning Algorithms -- 1 Introduction -- 2 Background -- 2.1 Image Resolution -- 2.2 Interpolation for Image Enhancement -- 2.3 DWT and Noise Removal Techniques -- 3 Deep Learning Based Architectures for Image Super Resolution -- 3.1 High Level Architecture -- 3.2 Enhanced Deep Residual Networks for Single Image Super-Resolution(EDSR) -- 3.3 Wide Activation for Efficient and Accurate Image Super-Resolution(WDSR) -- 3.4 Deep Alternating Network(DAN) -- 4 Evaluation Metrics -- 5 Comparisons and Challenges -- 6 Comparisons and Challenges -- References -- Traffic Sign Recognition by Image Preprocessing and Deep Learning -- 1 Introduction -- 2 Related Works -- 2.1 Traditional Approach -- 2.2 Deep Learning Based Methods -- 3 Our Methodology -- 3.1 Dark Channel Prior Based Image Dehazing -- 3.2 Improved Detection Model -- 3.3 Data Augmentation -- 4 Experiments and Analysis -- 4.1 Results -- 4.2 Experimental Analysis and Discussion -- 5 Conclusion -- References -- Convolutional Autoencoder for Vision-Based Human Activity Recognition -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Convolutional Autoencoder (Conv-AE) -- 3.2 Convolutional Neural Network (CNN) -- 3.3 Pre-processing -- 3.4 Feature Representation -- 3.5 Classification. 4 Experimental Results -- 4.1 Datasets -- 4.2 Results and Discussions -- 5 Conclusions and Future Scope -- References -- Deep Learning Approach for Enhanced Object Recognition and Assembly Guidance with Augmented Reality -- 1 Introduction -- 2 Methodology -- 2.1 Dataset Collection and Image Pre-processing -- 2.2 Step Detection -- 3 Results and Discussion -- 3.1 Prototype -- 3.2 SSD Performance -- 3.3 YOLOv7 Performance -- 3.4 User Testing -- 4 Conclusion -- References -- 3D Facial Reconstruction from a Single Image Using a Hybrid Model Based on 3DMM and Deep Learning -- 1 Introduction -- 2 Related Work -- 2.1 3DMM-Based Methods -- 2.2 Image-Based Methods -- 3 Methodology -- 3.1 3D Morphable Model -- 3.2 Camera Model -- 3.3 Illumination Model -- 3.4 Model Fitting -- 4 Results Analysis -- 5 Conclusion -- References -- Human Activity Recognition with a Time Distributed Deep Neural Network -- 1 Introduction -- 2 Related Works -- 3 The Proposed Method -- 3.1 Input Dataset -- 3.2 Data Pre-processing -- 3.3 Time Distributed Frame Conversion -- 3.4 Time Distributed CNN Layers -- 3.5 LSTM Layers -- 3.6 Training and Testing -- 3.7 Evaluation -- 4 Experimental Results and Discussion -- 4.1 UCI Sensor Dataset [2] Results -- 4.2 OPPORTUNITY Sensor Dataset Results -- 5 Conclusions -- References -- Intelligent Systems -- Artificial Neural Network to Estimate Deterministic Indices in Control Loop Performance Monitoring -- 1 Introduction -- 2 Background -- 2.1 Control Performance Monitoring -- 2.2 CPM Performance Indices -- 2.3 Machine Learning -- 2.4 Control-Loop Performance Assessment Whit Machine Learning -- 3 Methodology -- 4 Results -- 4.1 The Model with Machine Learning -- 5 Conclusions -- References -- Interference Mitigation in Multi-radar Environment Using LSTM-Based Recurrent Neural Network -- 1 Introduction. 2 Signal Model and Interference Effect Analysis -- 3 LSTM-RNN Architecture -- 4 Methodology, Results and Discussions -- 5 Conclusions -- References -- Centrifugal Pump Health Condition Identification Based on Novel Multi-filter Processed Scalograms and CNN -- 1 Introduction -- 2 Experimental Setup -- 3 Proposed Framework -- 4 Results and Performance Evaluation -- 5 Conclusion -- References -- A Closer Look at Attacks on Lightweight Cryptosystems: Threats and Countermeasures -- 1 Introduction -- 1.1 Lightweight Cryptography -- 2 Related Work -- 2.1 Side-Channel Analysis and Countermeasures: -- 2.2 Light Lightweight Cryptographic Algorithm Design: -- 3 Types of Attacks on Cryptosystems -- 3.1 Passive Attacks -- 3.2 Active Attacks -- 4 Cryptographic Attacks -- 4.1 Ciphertext Only Attacks (COA) -- 4.2 Known Plaintext Attack (KPA) -- 4.3 Dictionary Attack -- 4.4 Brute Force Attack (BFA) -- 4.5 Man in Middle Attack (MIM) -- 5 Countermeasures for Lightweight Encryption -- 5.1 Fault Injection Attacks and Protections: -- 5.2 Post-quantum Lightweight Cryptography: -- 5.3 Energy-Efficient Cryptography: -- 5.4 Machine Learning and Lightweight Cryptography: -- 6 Conclusion -- References -- A Prototype of IoT Medication Management System for Improved Adherence -- 1 Introduction -- 2 The Design Methodology of an Innovative Pharmaceutical IoT Medication Product -- 2.1 External Technology of the Product -- 2.2 Internal Technology of the Product -- 2.3 Mobile Application to Control the Product -- 3 Prototype Development of an Innovative Pharmaceutical -- 4 Final Discussion -- References -- Mobile Computing and Ubiquitous Interactions -- Navigating the Complexities of 60 GHz 5G Wireless Communication Systems: Challenges and Strategies -- 1 Introduction -- 2 Weaknesses of the 60 GHz Massive MIMO System -- 3 Proposed Algorithm -- 3.1 Channel Model of Sparse Multipath. 3.2 SAMP Algorithm -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- A Survey on Channel Estimation Technique Classifications and Various Algorithms -- 1 Introduction -- 2 Channel Estimation -- 2.1 Channel Estimation Classification -- 2.2 Channel Estimation Algorithms -- 3 Discussions and Future Research -- References -- Wearable-Based SLAM with Sensor Fusion in Firefighting Operations -- 1 Introduction -- 2 Method -- 2.1 System Overview -- 2.2 Map Points Calculation (MPC) -- 3 Experimental Setup -- 4 Results and Discussion -- 5 Conclusion -- References -- The Novel Electrocardiograph Sensor and Algorithm for Arrhythmia Computer Aided Detection -- 1 Introduction -- 2 Material and Methods -- 2.1 Proposed ECG Sensor -- 2.2 Pan-Tomkins Algorithm -- 2.3 P-QRS-T Detection -- 3 Experimental Results -- 4 Conclusion -- References -- Optimizing Sensor Subset Selection with Quantum Annealing: A Large-Scale Indoor Temperature Regulation Application -- 1 Introduction -- 2 SSSO Problem in Relation to Temperature Regulation -- 3 Quantum Motivation -- 4 Materials and Methods -- 4.1 Large-Scale Indoor Temperature Sensor Dataset -- 4.2 Our Implementation of the SSSO Problem -- 4.3 Experimental Setup -- 4.4 Hybrid Quantum Implementation Using D-Wave Quantum Annealer -- 5 Experimental Results -- 6 Conclusion -- References -- Smart IoT-Based Wearable Lower-Limb Rehabilitation Assistance System -- 1 Introduction -- 2 System Design -- 2.1 Hardware Design -- 2.2 Data Flow and Application Design -- 2.3 Lower-Limb Rehabilitation Activity State Classification Algorithm -- 3 Conclusion -- References -- Using Machine Learning of Sensor Data to Estimate the Production of Cutter Suction Dredgers -- 1 Introduction -- 2 Literature Review -- 2.1 Dredger Productivity Estimation -- 2.2 Dredging Productivity Estimation in Similar Areas -- 2.3 Soil Classification. 3 Research Setting and Methodology. |
| Record Nr. | UNISA-996587859903316 |
Choi Bong Jun
|
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Intelligent Human Computer Interaction : 15th International Conference, IHCI 2023, Daegu, South Korea, November 8-10, 2023, Revised Selected Papers, Part I
| Intelligent Human Computer Interaction : 15th International Conference, IHCI 2023, Daegu, South Korea, November 8-10, 2023, Revised Selected Papers, Part I |
| Autore | Choi Bong Jun |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (450 pages) |
| Altri autori (Persone) |
SinghDhananjay
TiwaryUma Shanker ChungWan-Young |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-031-53827-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Natural Language and Dialogue Systems -- HGAN: Editable Visual Generation from Hindi Descriptions -- 1 Introduction -- 2 Background -- 2.1 Text-to-Image Generation -- 2.2 Attention -- 3 Material and Method -- 3.1 Architecture -- 3.2 Word-Focused Channel Attention -- 3.3 Editing Module -- 3.4 Objective Functions -- 3.5 Generator Objective -- 3.6 Discriminator Objective -- 4 Dataset -- 5 Implementation -- 6 Result -- 7 Component Analysis -- 8 Conclusion -- 9 Limitation and Future Work -- References -- Adopting Pre-trained Large Language Models for Regional Language Tasks: A Case Study -- 1 Introduction -- 2 Pre-trained Language Models -- 3 Preparation of Sentiment Analysis Dataset -- 4 Fine Tuning of Language Models -- 5 Related Work -- 6 Conclusion -- References -- Text Mining Based GPT Method for Analyzing Research Trends -- 1 Introduction -- 2 Related Research -- 2.1 Text Mining -- 3 Research Trend Analysis System Utilizing GPT Based on Text Mining -- 3.1 Keyword Extraction -- 3.2 Training GPT Models -- 3.3 Generate Sentences -- 4 Conclusion -- References -- Effect of Speech Entrainment in Human-Computer Conversation: A Review -- 1 Introduction -- 2 Fundamental Concept About Entrainment in Human-Human Conversation -- 3 Entrainment/Alignment Strategies Employed in Voice-Based Human-Machine Conversation and Their Impact on User Experience and Satisfaction -- 3.1 Acoustic-Prosodic Entrainment -- 3.2 Lexical Entrainment -- 3.3 Syntactic Alignment -- 4 Potential Benefits of Incorporating Entrainment in Voice-Based Human-Machine Conversation -- 4.1 Naturalness -- 4.2 Enhanced Trustworthiness -- 5 Summary and Future Prospect -- 5.1 Implementing Entrainment for Mechanomorphic Design -- 5.2 Manipulation of Temporal Aspects of the Machine to Provide Enhanced Turn-Taking.
5.3 Manipulation of Machine's Cues for Better Entrainment -- References -- HUCMD: Hindi Utterance Corpus for Mental Disorders -- 1 Introduction -- 2 Challenges -- 3 Related Work -- 4 Proposed Approach for HUCMD -- 4.1 Symptom Words -- 4.2 Intensity Words -- 4.3 Frequency Words -- 4.4 History Words -- 4.5 Actor Words -- 4.6 Trailer Words -- 4.7 Utterance Generation Algorithm -- 4.8 Generated Utterances -- 5 Dataset Validation -- 5.1 Bidirectional Long Short Term Memory (Bi-LSTM) -- 5.2 Convolution Neural Network -- 5.3 Network Architecture -- 5.4 Sampling Algorithm -- 5.5 Intent Detection -- 5.6 Slot Prediction -- 6 Conclusion -- References -- Classification of Cleft Lip and Palate Speech Using Fine-Tuned Transformer Pretrained Models -- 1 Introduction -- 2 Dataset -- 3 Methods -- 3.1 Wav2Vec2 -- 3.2 SEW -- 3.3 SEW-D -- 3.4 UniSpeechSat -- 3.5 HuBERT -- 3.6 DistilHuBERT -- 4 Experimentation and Results -- 5 Conclusion -- References -- Affective Computing and Human Factors -- Visual-Sensory Information Processing Using Multichannel EEG Signals -- 1 Introduction -- 2 Main Part -- 2.1 Significance of Analysis and Classification of EEG Signals -- 2.2 EEG Signal Processing Based on Brain Computer Interface -- 3 Conclusion -- References -- Vision Transformer-Based Emotion Detection in HCI for Enhanced Interaction -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Methodology -- 5 Evaluation Metrics -- 6 Experimental Results -- 7 Conclusion -- References -- GenEmo-Net: Generalizable Emotion Recognition Using Brain Functional Connections Based Neural Network -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Dataset Description -- 3.2 Data Preprocessing -- 3.3 Feature Extraction -- 3.4 Model Architecture -- 3.5 Model Evaluation -- 4 Results and Discussion -- 5 Conclusion -- References. Ear-EEG Based-Driver Fatigue Detection System Augmented by Computer Vision -- 1 Introduction -- 2 Proposed System -- 2.1 Ear-EEG Embedded Device -- 2.2 Computer Vision-Based on Face Features -- 2.3 Experiment -- 2.4 Deep Learning Model -- 3 Results and Discussion -- 4 Conclusion -- References -- Cross Cultural Comparison of Emotional Functional Networks -- 1 Introduction -- 2 Methodology -- 2.1 Datasets -- 2.2 Complex Network Analysis of the Brain During Emotion -- 3 Results and Observations -- 4 Discussion -- References -- Emotion Recognition Using Phase-Locking-Value Based Functional Brain Connections Within-Hemisphere and Cross-Hemisphere -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Dataset Description -- 3.2 Data Preprocessing -- 3.3 Feature Extraction -- 3.4 Feature Selection -- 3.5 Classification -- 4 Results and Discussion -- 5 Conclusion -- References -- Context-Aware Facial Expression Recognition Using Deep Convolutional Neural Network Architecture -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Model Architectures -- 4 Experiments and Discussion -- 4.1 Benchmark Datasets: Emotic and CAER -- 4.2 Experimental Setup -- 5 Conclusions -- References -- Human Centred AI -- Exploring Multimodal Features to Understand Cultural Context for Spontaneous Humor Prediction -- 1 Introduction -- 2 Features and Model -- 2.1 Audio -- 2.2 Video -- 2.3 Text -- 2.4 Fusion -- 3 Experiments and Results -- 3.1 Experimental Setup -- 3.2 Dataset and Data Preparation -- 3.3 Hyperparameters -- 3.4 Results -- 3.5 Discussion -- 4 Conclusions and Future Work -- References -- Development of Pneumonia Patient Classification Model Using Fair Federated Learning -- 1 Introduction -- 2 Related Work -- 2.1 Federated Learning -- 2.2 DenseNet (Dense Convolutional Network) [18] -- 2.3 CheXNet [21] -- 2.4 Loss Function -- 2.5 IID, Non-IID Condition. 3 Improve Transparency -- 3.1 MINIMAR (MINImum Information for Medical AI Reporting): Reporting Standards for Artificial Intelligence in Health Care [26] -- 4 Method -- 4.1 Dataset -- 4.2 Data Pre-processing, Augmentation -- 4.3 FFLFCN (Fair Federated Learning Loss Function Chest X-ray Dense Convolutional Network) Model Construction -- 5 Results -- 6 Conclusion -- References -- Artificial Intelligence in Medicine: Enhancing Pneumonia Detection Using Wavelet Transform -- 1 Introduction -- 2 Related Works -- 3 Dataset Description/Methodology -- 4 Experiments and Results -- 5 Future Research Work -- 6 Conclusion -- References -- Maximizing Accuracy in AI-Driven Pattern Detection in Cardiac Care -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Pre-processing for Cardiac Data -- 3.3 Algorithm Utilized -- 4 Results -- 4.1 Model Building -- 4.2 Model Validation -- 5 Conclusion -- References -- Development of IMU Sensor-Based XGBoost Model for Patients with Elbow Joint Damage -- 1 Introduction -- 2 Development of IMU Sensor-Based XGBoost Model -- 3 Experiment and Results -- 4 Conclusion -- References -- Application of Daubechies Wavelets in Digital Processing of Biomedical Signals and Images -- 1 Introduction -- 2 Determining Daubechies Discrete Wavelet Transform Coefficients -- 3 Construction of One-Dimensional Wavelet Transforms -- 4 Identification of Wavelet Methods in Denoising in Tomographic Images -- 5 Conclusion -- References -- An Integrated System for Stroke Rehabilitation Exercise Assessment Using KINECT v2 and Machine Learning -- 1 Introduction -- 2 Materials and Methods -- 2.1 Used Device -- 2.2 Machine Learning Model Selection -- 2.3 KIMORE Dataset -- 3 Experimental Setup -- 3.1 Device Setup -- 3.2 Instructions and Guidelines -- 4 Results -- 5 Conclusion and Future Works -- References. Gastric Ulcer Detection in Endoscopic Images Using MobileNetV3-Small -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 The Dataset -- 3.2 Preprocessing -- 3.3 Architecture and MobilenetV3-Small -- 3.4 Performance Metrics -- 4 Results -- 5 Conclusion -- References -- Exploring Quantum Machine Learning for Early Disease Detection: Perspectives, Challenges, and Opportunities -- 1 Introduction -- 2 Related Work -- 3 Quantum Machine Learning (QML) in Medical Applications -- 3.1 Quantum Software Platforms and Tools -- 3.2 Quantum Machine Learning Models -- 3.3 Quantum Computing Hardware -- 4 QML Algorithms -- 4.1 Quantum Neural Networks (QNN) -- 4.2 Quantum Boltzmann Machines -- 4.3 Quantum Support Vector Machines -- 5 Challenges for Medical Translation -- 5.1 Noise Tolerance and Mitigation -- 5.2 Problem-Aware Model Optimization -- 5.3 Workflow Integration Complexities -- 6 Final Discussion -- 7 Conclusions -- References -- Human-Robot Interaction and Intelligent Interfaces -- Subject-Independent Brain-Computer Interfaces: A Comparative Study of Attention Mechanism-Driven Deep Learning Models -- 1 Introduction -- 2 Materials and Methods -- 2.1 Datasets -- 2.2 Proposed Transformer Model Architecture -- 2.3 Model Selection -- 3 Results and Discussion -- 4 Conclusion -- References -- PPHR: A Personalized AI System for Proactive Robots -- 1 Introduction -- 2 System Architecture -- 2.1 Sensing -- 2.2 Learning -- 2.3 Interacting -- 3 Methodology -- 3.1 Reinforcement Learning -- 3.2 Personalization of Models -- 3.3 Federated Learning -- 3.4 Extensibility of Models -- 3.5 Activity State -- 4 Implementation -- 4.1 Model Structure -- 4.2 Data Collection -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- Classifying Service Robots in Commercial Places Based on Communication: Design Elements by Level of Communication -- 1 Introduction. 2 Related Works. |
| Record Nr. | UNISA-996587860303316 |
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Choi Bong Jun
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Intelligent Human Computer Interaction [[electronic resource] ] : 11th International Conference, IHCI 2019, Allahabad, India, December 12–14, 2019, Proceedings / / edited by Uma Shanker Tiwary, Santanu Chaudhury
| Intelligent Human Computer Interaction [[electronic resource] ] : 11th International Conference, IHCI 2019, Allahabad, India, December 12–14, 2019, Proceedings / / edited by Uma Shanker Tiwary, Santanu Chaudhury |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (302 pages) : illustrations |
| Disciplina | 004.019 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Application software Machine learning Optical data processing Software engineering Database Management Computer Applications Machine Learning Computer Imaging, Vision, Pattern Recognition and Graphics Software Engineering/Programming and Operating Systems |
| ISBN | 3-030-44689-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification of Motor Imagery EEG Signal for Navigation of Brain Controlled Drones -- Monitoring Post-Stroke Motor Rehabilitation Using EEG Analysis -- Wavelet Transform Selection Method for Biological Signal Treatment -- Fuzzy Inference System for Classification of Electroencephalographic (EEG) Data -- Empirical Mode Decomposition Algorithms for Classification of Single-Channel EEG Manifesting McGurk Effect -- Abstractive Text Summarization Using Enhanced Attention Model -- Highlighted Word Encoding for Abstractive Text Summarization -- Detection of Hate and Offensive Speech in Text -- Deep Learning for Hindi Text Classification : A Comparison -- A Stacked Ensemble Approach to Bengali Sentiment Analysis -- Computing with Words Through Interval Type-2 Fuzzy Sets for Decision Making Environment -- RNN Based Language Generation Models for a Hindi Dialogue System -- Bengali Handwritten Character Classification Using Transfer Learning on Deep Convolutional Network -- Predicting Body Size Using Mirror Selfies -- Retinal Vessel Classification Using the Non-Local Retinex Method -- Rule Generation of Cataract Patient Data Using Random Forest Algorithm -- Yawn Detection for Driver’s Drowsiness Prediction Using Bi-Directional LSTM with CNN Features -- Robotic Intervention for Elderly - A Rehabilitation Aid for Better Living -- ccaROS: A ROS Node for Cognitive Collaborative Architecture for an Intelligent Wheelchair -- IoT Monitoring of Water Consumption for Irrigation Systems Using SEMMA Methodology -- Extracting Community Structure in Multi-Relational Network via DeepWalk and Consensus Clustering -- Virtual-Reality Training Under Varying Degrees of Task Difficulty in a Complex Search-and-Shoot Scenario -- Ghyph Reader App: Multisensory Stimulation through ICT to Intervene Literacy Disorders in the Classroom -- Cyclon Language First Grade App: Technological Platform to Support the Construction of Citizen and Democratic Culture of Science, Technology and Innovation in Children and Youth Groups -- Quadrotor Modeling and a PID Control Approach. . |
| Record Nr. | UNISA-996418220103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Human Computer Interaction : 11th International Conference, IHCI 2019, Allahabad, India, December 12–14, 2019, Proceedings / / edited by Uma Shanker Tiwary, Santanu Chaudhury
| Intelligent Human Computer Interaction : 11th International Conference, IHCI 2019, Allahabad, India, December 12–14, 2019, Proceedings / / edited by Uma Shanker Tiwary, Santanu Chaudhury |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (302 pages) : illustrations |
| Disciplina | 004.019 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Database management
Application software Machine learning Image processing - Digital techniques Computer vision Software engineering Database Management Computer and Information Systems Applications Machine Learning Computer Imaging, Vision, Pattern Recognition and Graphics Software Engineering |
| ISBN | 3-030-44689-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Classification of Motor Imagery EEG Signal for Navigation of Brain Controlled Drones -- Monitoring Post-Stroke Motor Rehabilitation Using EEG Analysis -- Wavelet Transform Selection Method for Biological Signal Treatment -- Fuzzy Inference System for Classification of Electroencephalographic (EEG) Data -- Empirical Mode Decomposition Algorithms for Classification of Single-Channel EEG Manifesting McGurk Effect -- Abstractive Text Summarization Using Enhanced Attention Model -- Highlighted Word Encoding for Abstractive Text Summarization -- Detection of Hate and Offensive Speech in Text -- Deep Learning for Hindi Text Classification : A Comparison -- A Stacked Ensemble Approach to Bengali Sentiment Analysis -- Computing with Words Through Interval Type-2 Fuzzy Sets for Decision Making Environment -- RNN Based Language Generation Models for a Hindi Dialogue System -- Bengali Handwritten Character Classification Using Transfer Learning on Deep Convolutional Network -- Predicting Body Size Using Mirror Selfies -- Retinal Vessel Classification Using the Non-Local Retinex Method -- Rule Generation of Cataract Patient Data Using Random Forest Algorithm -- Yawn Detection for Driver’s Drowsiness Prediction Using Bi-Directional LSTM with CNN Features -- Robotic Intervention for Elderly - A Rehabilitation Aid for Better Living -- ccaROS: A ROS Node for Cognitive Collaborative Architecture for an Intelligent Wheelchair -- IoT Monitoring of Water Consumption for Irrigation Systems Using SEMMA Methodology -- Extracting Community Structure in Multi-Relational Network via DeepWalk and Consensus Clustering -- Virtual-Reality Training Under Varying Degrees of Task Difficulty in a Complex Search-and-Shoot Scenario -- Ghyph Reader App: Multisensory Stimulation through ICT to Intervene Literacy Disorders in the Classroom -- Cyclon Language First Grade App: Technological Platform to Support the Construction of Citizen and Democratic Culture of Science, Technology and Innovation in Children and Youth Groups -- Quadrotor Modeling and a PID Control Approach. . |
| Record Nr. | UNINA-9910409673603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent Human Computer Interaction [[electronic resource] ] : 10th International Conference, IHCI 2018, Allahabad, India, December 7–9, 2018, Proceedings / / edited by Uma Shanker Tiwary
| Intelligent Human Computer Interaction [[electronic resource] ] : 10th International Conference, IHCI 2018, Allahabad, India, December 7–9, 2018, Proceedings / / edited by Uma Shanker Tiwary |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 318 p. 177 illus., 111 illus. in color.) |
| Disciplina | 004.019 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Information storage and retrieval systems Artificial intelligence Computer vision Pattern recognition systems User Interfaces and Human Computer Interaction Information Storage and Retrieval Artificial Intelligence Computer Vision Automated Pattern Recognition |
| ISBN | 3-030-04021-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ECG, EEG -Based and Other Multimodal Interactions -- Natural Language, Speech and Dialogue Processing -- Modeling Human Cognitive Processes and Simulation -- Image and Vision Based Interactions -- Applications of HCI. |
| Record Nr. | UNISA-996466315303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligent Human Computer Interaction : 10th International Conference, IHCI 2018, Allahabad, India, December 7–9, 2018, Proceedings / / edited by Uma Shanker Tiwary
| Intelligent Human Computer Interaction : 10th International Conference, IHCI 2018, Allahabad, India, December 7–9, 2018, Proceedings / / edited by Uma Shanker Tiwary |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 318 p. 177 illus., 111 illus. in color.) |
| Disciplina | 004.019 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Information storage and retrieval systems Artificial intelligence Computer vision Pattern recognition systems User Interfaces and Human Computer Interaction Information Storage and Retrieval Artificial Intelligence Computer Vision Automated Pattern Recognition |
| ISBN | 3-030-04021-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ECG, EEG -Based and Other Multimodal Interactions -- Natural Language, Speech and Dialogue Processing -- Modeling Human Cognitive Processes and Simulation -- Image and Vision Based Interactions -- Applications of HCI. |
| Record Nr. | UNINA-9910349393503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||