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MARC Lista (tabellare)
Agriculture-Centric Computation [[electronic resource] ] : First International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised Selected Papers / / edited by Mukesh Kumar Saini, Neeraj Goel, Hanumant Singh Shekhawat, Jaime Lloret Mauri, Dhananjay Singh
Agriculture-Centric Computation [[electronic resource] ] : First International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised Selected Papers / / edited by Mukesh Kumar Saini, Neeraj Goel, Hanumant Singh Shekhawat, Jaime Lloret Mauri, Dhananjay Singh
Autore Saini Mukesh Kumar
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (265 pages)
Disciplina 006.3
Altri autori (Persone) GoelNeeraj
ShekhawatHanumant Singh
MauriJaime Lloret
SinghDhananjay
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer networks
Machine learning
Data mining
Image processing - Digital techniques
Computer vision
Artificial Intelligence
Computer Communication Networks
Machine Learning
Data Mining and Knowledge Discovery
Computer Imaging, Vision, Pattern Recognition and Graphics
ISBN 3-031-43605-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fine Tuned Single Shot Detector for Finding Disease Patches in Leaves -- Empirical Analysis and Evaluation of Factors Influencing Adoption of AI-based Automation Solutions for Sustainable Agriculture -- FusedNet Model for Varietal Classification of Rice Seeds -- Fertilizer Recommendation using Ensemble Filter-based Feature Selection Approach -- Privacy-Preserving Pest Detection Using Personalized Federated Learning -- A review on applications of artificial intelligence for identifying soil nutrients -- IRPD: In-Field Radish Plant Dataset -- Fast Rotated Bounding Box Annotations for Object Detection -- IndianPotatoWeeds: An Image Dataset of Potato Crop to Address Weed Issues in Precision Agriculture -- Estimation Of Leaf Parameters in Punjab Region Through Multi-Spectral Drone Images using Deep Learning Models -- Application of near-infrared (NIR) hyperspectral imaging system for protein content prediction in chickpea flour -- Classification of crops based on band quality and redundancy from hyperspectral image -- Automated Agriculture News Collection, Analysis, and Recommendation -- Intelligent Chatbot Assistant in Agriculture Domain -- Machine Learning Methods for Crop Yield Prediction -- Real-time Plant Disease Detection: A Comparative Study -- Fruit Segregation using Deep Learning -- Investigation of the bulk and electronic properties of boron/nitrogen/indium doped armchair graphene nanoribbon for sensing plant VOC: A DFT study.
Record Nr. UNISA-996550550703316
Saini Mukesh Kumar  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Agriculture-Centric Computation [[electronic resource] ] : First International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised Selected Papers / / edited by Mukesh Kumar Saini, Neeraj Goel, Hanumant Singh Shekhawat, Jaime Lloret Mauri, Dhananjay Singh
Agriculture-Centric Computation [[electronic resource] ] : First International Conference, ICA 2023, Chandigarh, India, May 11-13, 2023, Revised Selected Papers / / edited by Mukesh Kumar Saini, Neeraj Goel, Hanumant Singh Shekhawat, Jaime Lloret Mauri, Dhananjay Singh
Autore Saini Mukesh Kumar
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (265 pages)
Disciplina 006.3
Altri autori (Persone) GoelNeeraj
ShekhawatHanumant Singh
MauriJaime Lloret
SinghDhananjay
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer networks
Machine learning
Data mining
Image processing - Digital techniques
Computer vision
Artificial Intelligence
Computer Communication Networks
Machine Learning
Data Mining and Knowledge Discovery
Computer Imaging, Vision, Pattern Recognition and Graphics
ISBN 3-031-43605-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fine Tuned Single Shot Detector for Finding Disease Patches in Leaves -- Empirical Analysis and Evaluation of Factors Influencing Adoption of AI-based Automation Solutions for Sustainable Agriculture -- FusedNet Model for Varietal Classification of Rice Seeds -- Fertilizer Recommendation using Ensemble Filter-based Feature Selection Approach -- Privacy-Preserving Pest Detection Using Personalized Federated Learning -- A review on applications of artificial intelligence for identifying soil nutrients -- IRPD: In-Field Radish Plant Dataset -- Fast Rotated Bounding Box Annotations for Object Detection -- IndianPotatoWeeds: An Image Dataset of Potato Crop to Address Weed Issues in Precision Agriculture -- Estimation Of Leaf Parameters in Punjab Region Through Multi-Spectral Drone Images using Deep Learning Models -- Application of near-infrared (NIR) hyperspectral imaging system for protein content prediction in chickpea flour -- Classification of crops based on band quality and redundancy from hyperspectral image -- Automated Agriculture News Collection, Analysis, and Recommendation -- Intelligent Chatbot Assistant in Agriculture Domain -- Machine Learning Methods for Crop Yield Prediction -- Real-time Plant Disease Detection: A Comparative Study -- Fruit Segregation using Deep Learning -- Investigation of the bulk and electronic properties of boron/nitrogen/indium doped armchair graphene nanoribbon for sensing plant VOC: A DFT study.
Record Nr. UNINA-9910746964203321
Saini Mukesh Kumar  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Blockchain Technology for Smart Cities [[electronic resource] /] / edited by Dhananjay Singh, Navin Singh Rajput
Blockchain Technology for Smart Cities [[electronic resource] /] / edited by Dhananjay Singh, Navin Singh Rajput
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (V, 180 p. 76 illus., 61 illus. in color.)
Disciplina 005.824
Collana Blockchain Technologies
Soggetto topico Computer engineering
Internet of things
Embedded computer systems
Information technology
Business—Data processing
Urban economics
Health informatics
Applied mathematics
Engineering mathematics
Big data
Cyber-physical systems, IoT
IT in Business
Urban Economics
Health Informatics
Mathematical and Computational Engineering
Big Data
ISBN 981-15-2205-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introducing Blockchain for Smart City Technologies and Applications -- 2. Chain of Antichains: An Efficient and Secure Distributed Ledger -- 3. Blockchain for intelligent gas monitoring in smart city scenario -- 4. Commodity Ecology: from Smart Cities to Smart Regions via a Blockchain-Based Virtual Community Platform for Ecological Design in Choosing All Materials and Wastes -- 5. Toward Multiple Layered Blockchain Structure for Tracking of Private Contents and Right to be Forgotten -- 6. Smart City Transportation Technologies: Automatic No-Helmet Penalizing System -- 7. An Overview of Smart City: Observation, Technologies, Challenges and Blockchain Applications -- 8. An Architecture for e-Health Recommender Systems based on Similarity of Patients’ Symptoms.
Record Nr. UNINA-9910377823003321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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. UNINA-9910842287303321
Choi Bong Jun  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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. UNINA-9910842281903321
Choi Bong Jun  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
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
Choi Bong Jun  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui