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6GN for Future Wireless Networks : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part II / / edited by Jingchao Li, Bin Zhang, Yulong Ying
6GN for Future Wireless Networks : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part II / / edited by Jingchao Li, Bin Zhang, Yulong Ying
Autore Li Jingchao
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (293 pages)
Disciplina 004.6
Altri autori (Persone) ZhangBin
YingYulong
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Computer networks
Artificial intelligence
Image processing - Digital techniques
Computer vision
Signal processing
Information storage and retrieval systems
Machine learning
Computer Communication Networks
Artificial Intelligence
Computer Imaging, Vision, Pattern Recognition and Graphics
Signal, Speech and Image Processing
Information Storage and Retrieval
Machine Learning
Intel·ligència artificial
Xarxes d'ordinadors
Processament digital d'imatges
Visió per ordinador
Processament de senyals
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031534041
3031534042
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Image, Video, and Signal Processing -- Detection of Green Walnuts on Trees Using the Improved YOLOv7 Model -- Disease Recognition of Plants Leaves in Northern Shaanxi based on Siamese Networks -- Application of MED-TET to feature extraction of vibration signals -- A NOVEL PHASE CONGRUENCY-BASED IAMGE MATCHING METHOD FOR HETEROGENOUS IMAGES -- Design of Image Based Optical Flow Tracking and Positioning System in Intelligent Assembly -- A Review of Image and Point Cloud Fusion in Autonomous Driving -- Deep learning in strawberry growth monitoring research: A review -- Image, Video, and Signal Processing & Software Engineering -- Stepwise Change and Refine Network for Human Pose Transfer -- Performance Analysis of Web Server side Reactive Programming -- Improved Sparrow Search Algorithm Optimized Neural Network Analysis Of Traffic Congestion -- Industrial Noisy Speech Enhancement Using Joint Time-Frequency Loss Function Based on U-Net -- Multiple Color Feature and Contextual Attention Mechanism based on YOLOX -- Improved War Strategy Optimization Algorithm Based on Hybrid Strategy -- Quantitative Analysis on Coin Flipping Protocol -- Communications Systems and Networking & Control and Automation Systems -- Research on Cost Optimization of UAV Network Routing Protocol Based on OLSR Protocol -- A Lightweight Fault Diagnosis Model of Rolling Bearing Based on Gramian Angular Field and EfficientNet-B0 -- ISAC Device-free Sensing Method for V2V System -- Fuzzy sliding mode trajectory tracking control for omnidirectional mobile robots based on exponential convergence law -- Image Classification Method Base on Contrastive Learning -- Research on RFID Indoor Localization Algorithm Based on Virtual Tags and Fusion of LANDMARC and Kalman Filter -- Computer Systems and Applications -- Research on information Literacy Teaching of Library MOOC based on Constructivism -- Research on Smart Library System Based on Big Data -- Smoke segmentation method based on super pixel segmentation and convolutional neural network -- Research on Distributed Routing Technology for LEO Satellite Network -- Analysis of Weld Pool Characteristics in Narrow Gap GTAW Welding Based on Passive Vision.
Record Nr. UNINA-9910842499603321
Li Jingchao  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
6GN for Future Wireless Networks : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part I / / edited by Jingchao Li, Bin Zhang, Yulong Ying
6GN for Future Wireless Networks : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part I / / edited by Jingchao Li, Bin Zhang, Yulong Ying
Autore Li Jingchao
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (438 pages)
Disciplina 006.3
Altri autori (Persone) ZhangBin
YingYulong
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Artificial intelligence
Computer networks
Image processing - Digital techniques
Computer vision
Signal processing
Application software
Machine learning
Artificial Intelligence
Computer Communication Networks
Computer Imaging, Vision, Pattern Recognition and Graphics
Signal, Speech and Image Processing
Computer and Information Systems Applications
Machine Learning
Intel·ligència artificial
Xarxes d'ordinadors
Processament digital d'imatges
Visió per ordinador
Processament de senyals
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031534010
3031534018
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intelligent Systems -- 2D Map Generation Considering 3D Spatial Information of Objects for a Guide Dog Robot -- Development of an Image Generation System for Expressing Auditory Environment to Hearing-impaired People -- Robust Object Recognition and Command Understanding for a House Tidying-up Robot -- 3D Point Cloud Based Object Recognition and 3D Mapping -- Intelligent Inspection System of Coal Preparation Plant Based on Dynamic QR Code -- On The Construction of Information Management System for Railroad Grouping Station Operation -- Research on short term power load forecasting based on Wavelet and BiLSTM -- Big data mining, D2D Communication, Security and Privacy for 6G Networks -- Spectrum Allocation Algorithm based on Improved Chimp Optimization Algorithm -- Research on Model Evaluation Technology Based on Modulated Signal Identification -- Parking space matching and pathplanning based on Wolf feeding decision algorithm in large underground garage -- Research on physical layer authentication method of internet of things based on contour stellar images and convolutional neural network -- Double IRS-Aided Dual-function Radar and Communication System -- Channel Estimation for RIS Communication System with Deep scaled Least Squares -- Algorithmic protection study based on a virtual location -- Artificial intelligent techniques for 6G Networks -- Subway Double-door Anti-pinch Based On RGBD Binary Classification Network -- Design and Implementation of Intelligent IoT Paper Pumping System Based on Face Recognition of Loongson Processor -- Aluminum Defect Detection based on Weighted Feature Fusion Mechanism -- MS TextSpotter: An Intelligent Instance Segmentation Scheme for Semantic Scene Text Recognition in Asian Social Networks -- Improved solar photovoltaic panel defect detection technology based on YOLOv5 -- YOLO-L:A YOLO-BASED ALGORITHM FOR REMOTE SENSING IMAGE TARGET DETECTION -- Power and Energy Systems I -- An effective N-BEATS network model for short term load forecasting -- A Novel Ultra Short-Term Load Forecasting Algorithm of a Small Microgrid Based on Support Vector Regression -- Laser welding process of lithium battery lugs based on finite element simulation -- Failure and Stress Analysis of Cylindrical Springs -- Detection of Corrosion Areas in Power Equipment Based on Improved YOLOv5s Algorithm with CBAM Attention Mechanism -- Power and Energy Systems -- TASE-net: a short-term load forecasting model based on Temperature Accumulation Sequence Effect -- Predicting time series energy consumption based on Transformer and LSTM -- Predicting Wind Turbine Power Output based on XGBoost -- Loop Closure Detection Based on Local and Global Descriptors with Sinkhorn Algorithm -- Stainless steel crack detection based on MATLAB -- Power and Energy Systems -- A new combination model for offshore wind power prediction considering the number of climbing features -- Fault Diagnosis Method of Gas Turbine Combustion Chamber Based on CNN-GRU Model Analysis -- Research on Key Intelligent System in Unmanned Surface Vessel -- Simulation research on thermal management of hydrogen fuel cell for UAV -- Performance analysis on a coupled system of gas turbine and air cycle driven by waste heat of flue gas. .
Record Nr. UNINA-9910842495003321
Li Jingchao  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors
Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors
Pubbl/distr/stampa Singapore : , : Springer, , [2022]
Descrizione fisica 1 online resource (233 pages)
Disciplina 621.367
Collana Transactions on Computer Systems and Networks Ser.
Soggetto topico Image processing - Digital techniques
Image processing - Digital techniques - Data processing
Processament digital d'imatges
Reconeixement de formes (Informàtica)
Soggetto genere / forma Llibres electrònics
ISBN 981-16-9324-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464549403316
Singapore : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors
Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors
Pubbl/distr/stampa Singapore : , : Springer, , [2022]
Descrizione fisica 1 online resource (233 pages)
Disciplina 621.367
Collana Transactions on Computer Systems and Networks
Soggetto topico Image processing - Digital techniques
Image processing - Digital techniques - Data processing
Processament digital d'imatges
Reconeixement de formes (Informàtica)
Soggetto genere / forma Llibres electrònics
ISBN 981-16-9324-2
981-16-9323-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996549370903316
Singapore : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors
Advance concepts of image processing and pattern recognition : effective solution for global challenges / / Narendra Kumar [and four others], editors
Pubbl/distr/stampa Singapore : , : Springer, , [2022]
Descrizione fisica 1 online resource (233 pages)
Disciplina 621.367
Collana Transactions on Computer Systems and Networks
Soggetto topico Image processing - Digital techniques
Image processing - Digital techniques - Data processing
Processament digital d'imatges
Reconeixement de formes (Informàtica)
Soggetto genere / forma Llibres electrònics
ISBN 981-16-9324-2
981-16-9323-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910743353203321
Singapore : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Computing : 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part II / / edited by Deepak Garg, V. A. Narayana, P. N. Suganthan, Jaume Anguera, Vijaya Kumar Koppula, Suneet Kumar Gupta
Advanced Computing : 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part II / / edited by Deepak Garg, V. A. Narayana, P. N. Suganthan, Jaume Anguera, Vijaya Kumar Koppula, Suneet Kumar Gupta
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XXXIV, 476 p. 264 illus., 207 illus. in color.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Application software
Education—Data processing
Image processing—Digital techniques
Computer vision
Artificial Intelligence
Computer Engineering and Networks
Computer and Information Systems Applications
Computers and Education
Computer Imaging, Vision, Pattern Recognition and Graphics
Intel·ligència artificial
Enginyeria de programari
Ensenyament assistit per ordinador
Processament digital d'imatges
Soggetto genere / forma Llibres electrònics
Congressos
ISBN 9783031356445
3031356446
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Innovations in AI -- System Security and communication using AI -- Use of AI in Human Psychology -- Use of AI in Music and Video Industries.
Record Nr. UNINA-9910734854603321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part V / / edited by De-Shuang Huang, Xiankun Zhang, Chuanlei Zhang
Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part V / / edited by De-Shuang Huang, Xiankun Zhang, Chuanlei Zhang
Autore Huang De-Shuang
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (504 pages)
Disciplina 006.3
Altri autori (Persone) ZhangXiankun
ZhangChuanlei
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers
Computer networks
Data mining
Image processing - Digital techniques
Computer vision
Software engineering
Artificial Intelligence
Computing Milieux
Computer Communication Networks
Data Mining and Knowledge Discovery
Computer Imaging, Vision, Pattern Recognition and Graphics
Software Engineering
Intel·ligència artificial
Xarxes d'ordinadors
Mineria de dades
Processament digital d'imatges
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 981-9756-75-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part V -- Intelligent Control and Automation -- A Parallel Intelligent Search and Rescue System for Swarm Robots Based on Digital Twin -- 1 Introduction -- 2 System Design Details -- 2.1 System Framework Design -- 2.2 Real-Time Twin Model Modeling Module -- 2.3 Parallel Decision Path Planning Module -- 3 System Application Example -- 3.1 Real-Time Twin Model Module Simulation Validation -- 3.2 Real-Scene System Verification -- 4 Conclusion and Discussion -- References -- Formal Verification of Path Planning Safety and Reachability in Unmanned Surface Vehicles -- 1 Introduction -- 2 Background -- 2.1 Model Checking -- 2.2 Linearly Priced Timed Automata -- 2.3 Linear-Time Temporal Logic -- 2.4 UPPAAL Model Checking Tool -- 3 Method -- 3.1 Representation of Energy -- 3.2 Reference and Formal Models -- 3.3 Safety and Reachability Properties -- 3.4 Specification of Requirements -- 4 Verification -- 4.1 Results -- 5 Conclusion -- References -- Refine Camera Calibration with Global Geometry Constraints -- 1 Introduction -- 2 Related Work -- 2.1 Parameter Estimation -- 2.2 Calibration Process -- 3 The Proposed Calibration Framework -- 3.1 Global Pose Constraint -- 3.2 Calibration Data Filter Mechanism -- 4 Experiments -- 4.1 Hardware and Software -- 4.2 Calibration Accuracy Exploration -- 4.3 Calibration Consistency Exploration -- 4.4 Different Camera Lens Exploration -- 5 Conclusion -- References -- OCP: An Online Contingent Planning Method for Robot Tasks with Incomplete Knowledge -- 1 Introduction -- 2 Related Works -- 3 The Online Contingent Planning Method -- 3.1 Overview of OCP -- 3.2 ExPDDL: Extensions to PDDL for Modelling Uncertainty -- 3.3 Online Contingent Planning Algorithm -- 4 Experiment -- 4.1 Evaluations on Contingent Benchmarks -- 4.2 Simulation Experiment -- 4.3 Real-Robot Experiment.
5 Conclusions -- References -- YOLO-Underwater: A Real-Time Object Detection Framework for Enhanced Underwater Robotics Operations -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 YOLOv7 -- 3.2 ConvNeXt -- 3.3 SimAM -- 4 Experiment -- 5 Conclusion -- References -- YOLO-Underwater-Tiny: High-Efficiency Object Detection in Underwater Robots -- 1 Introduction -- 2 Method -- 2.1 YOLOv7-Tiny -- 2.2 Reparameterized Lightweight Backbone Layer of MobileOne -- 2.3 Ghost -- 3 Experiment -- 3.1 Experiment on Replacing Convolution with Ghost Convolution -- 3.2 Ablation Experiments and Model Comparisons in Underwater Environments -- 3.3 Comparative Experiments on Underwater Environments of Multiple Types of Models -- 4 Conclusion -- References -- Shared Subnet Synthesis of Object-Oriented Petri Net Based Representation for  Embedded Systems -- 1 Introduction -- 2 Basic Concepts -- 3 Synthesis Operation and Property Analysis -- 4 Applications -- 5 Conclusion -- References -- Deep Reinforcement Learning Based on Graph Neural Network for Flexible Job Shop Scheduling Problem with Lot Streaming -- 1 Introduction -- 2 Problem Description and Model Formula -- 3 Proposed DRL Methods for FJSPLS -- 3.1 Markov Decision Process Formulation -- 3.2 Enhanced Disjunctive Graph and HGFE -- 3.3 Decision-Making by Dual Agents -- 3.4 Network Structure and Training -- 4 Computational Experiments -- 5 Conclusions -- References -- Robust Adaptive Neural Network-Based Funnel Tracking Control of a Class of Perturbed Euler-Lagrange Systems -- 1 Introduction -- 2 Problem Statement -- 2.1 Dynamic of Euler-Lagrange Systems -- 2.2 Formulations of Neural Networks -- 3 Main Results -- 3.1 Controller Design -- 3.2 Stability Analysis -- 4 Simulation Example -- 5 Conclusion -- References.
SeqAttention-Net: Design of a Deep Neural Network for Bearing Fault Detection Based on Small Sample Datasets -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Transformer -- 3.2 Fast Fourier Transform -- 4 Experiment -- 4.1 Baseline -- 4.2 Datasets -- 4.3 Data Preprocessing -- 4.4 Evaluation Indicators -- 4.5 Experimental Results -- 5 Summary -- References -- Adaptive Fixed-Time Sliding-Mode Trajectory Tracking Control of a Cart-Pendulum Robot Against Actuator Attacks -- 1 Introduction -- 2 Research Model with Preliminaries -- 2.1 Cart-Pendulum Robot Model -- 2.2 False Data Injection Attacks -- 2.3 Control Intents -- 3 Integral Sliding-Mode Adaptive Control Law Generation -- 3.1 Estimated Value of Unknown Attack Weight -- 3.2 Fixed Time Integral Sliding-Mode Control Law -- 4 Simulation Results -- 5 Conclusions -- References -- VirtualOffshore: An Interactive 3D Offshore Environment for Embodied Agents -- 1 Introduction -- 2 Related Works -- 2.1 Embodied Agent -- 2.2 Simulation Environment -- 3 Offshore Environment -- 3.1 Unity Simulator -- 3.2 WebSocket Endpoints -- 3.3 User Interface -- 4 Offshore Task Planning Challenge -- 4.1 Atomic Actions -- 4.2 States -- 4.3 Goals -- 5 Benchmark Experiments -- 5.1 Baseline Models -- 5.2 Results -- 6 Conclusion -- References -- Agent Can Say No: Robot Task Planning by Natural Language Feedback Between Planner and Executor -- 1 Introduction -- 2 Related Work -- 2.1 Task Planning -- 2.2 LLMs as the Robot Planner -- 3 Method -- 3.1 Cloud Component -- 3.2 Local Component -- 3.3 Action Decision -- 4 Experiments -- 4.1 Generalization Experiments -- 4.2 Comparative Experiments -- 5 Conclusion -- References -- A Real-Time Exoskeleton Control Strategy for Multiple Gaits Based on Continuous State Variable Driving and MiniRocket Recognition -- 1 Introduction -- 2 System Model.
3 Continuous State Variable Driven Control Strategy -- 4 Gait Recognition Based on MiniRocket -- 5 Experimental Results -- 5.1 Initial Setup and Adjustment -- 5.2 Gait Recognition Accuracy -- 5.3 Gait Phase Estimation for Three Types of Gaits -- 6 Conclusion -- References -- Scheduling Strategy to Minimize Makespan for Energy-Efficient Parallel Applications in Heterogeneous Computing Systems -- 1 Introduction -- 2 Related Works -- 3 Model -- 3.1 Application Model -- 3.2 Energy Model -- 3.3 Problem Definition -- 4 Algorithm -- 4.1 Pre-allocation of Energy Consumption -- 4.2 A Proposed Algorithm to Minimize the Scheduling Length -- 4.3 Example of the Proposed Algorithm -- 5 Experiment -- 5.1 Fast Fourier Transform Application -- 5.2 Gaussian Elimination Application -- 6 Conclusion -- References -- An Enhanced Driving Trajectory Prediction Method Based on Generative Adversarial Imitation Learning -- 1 Introduction -- 2 State of the Art -- 3 Driving Trajectory Prediction -- 3.1 Multimodal Trajectory Model -- 3.2 High-Definition Driving Scene Map Construction -- 3.3 Strategy Learning -- 3.4 Trajectory Scheme Generation -- 4 Simulation and Result Analysis -- 4.1 Evaluation Indicators -- 4.2 Training -- 4.3 Models Comparison and Analysis -- 4.4 Ablation System -- 4.5 Results Analysis -- 5 Conclusions -- References -- Subtask-Aware Energy Allocation Algorithm for Parallel Applications Scheduling on Heterogeneous Computing Systems -- 1 Introduction -- 2 Related Work -- 3 Model and Problem Definition -- 3.1 Application Model -- 3.2 Energy Model -- 3.3 Problem Definition -- 4 Subtask-Aware Scheduling Algorithm -- 4.1 Task Prioritization Phase -- 4.2 Energy Distribution Phase -- 4.3 Task Allocation Phase -- 4.4 Algorithm Description -- 4.5 Example of the SEA-PAS Algorithm -- 5 Experiments -- 5.1 Experimental Results for FFT Applications.
5.2 Experimental Results for GE Applications -- 6 Conclusion -- References -- A Dynamic Model of Multi-state LVAD Based on LSTM Neural Network -- 1 Introduction -- 2 Cardiovascular-LVAD Model -- 3 Data of Multi State -- 3.1 Afterload and Preload -- 3.2 Heart Failure -- 3.3 Suction -- 4 Dynamics Model Based on LSTM -- 4.1 LSTM Neural Network -- 4.2 Train Progress of LSTM -- 5 Evaluation -- 5.1 Non-suction State -- 5.2 Suction State -- 6 Conclusion -- References -- Large-Scale Electroplating Scheduling: A Hierarchical Temporal Planning Approach -- 1 Introduction -- 2 Problem Definition -- 3 Our HIT Approach -- 3.1 Generating Skeletons and Sub-goals -- 3.2 Generating Final Plans -- 3.3 Overview of HIT -- 4 Experiment -- 4.1 Results of Problems with Different Numbers of Products -- 4.2 Results of Problems with Unexpected Events -- 4.3 Case Study -- 5 Conclusion -- References -- Intelligent Image/Document Retrievals -- Blockchain-Based Equilibrium Anchors Game Pricing Method for Data Element -- 1 Introduction -- 2 Description of Problem -- 3 Game Pricing Approach for Data Elements in Blockchain -- 3.1 Average Value Line (AVL) -- 3.2 Anchor Bidding Game -- 4 Experimentation and Evaluation -- 4.1 Experimental Data Configuration -- 4.2 Analysis of Experimental Results -- 5 Conclusion -- References -- Ethical Challenges and Governance of Smart Algorithms Empowering Financial Technology -- 1 Background -- 2 Ethical Challenges and Technical Governance of Intelligent Algorithms in Financial Technology -- 2.1 Data Privacy and Security -- 2.2 Algorithmic Discrimination -- 2.3 Algorithm Distortion -- 2.4 Algorithm Black Box -- 2.5 Large Model Risks -- 2.6 Disputes Over Responsibility Attribution -- 3 Other Governance Approaches of Intelligent Algorithms in Financial Technology -- 3.1 Organizational Supervision -- 3.2 Formulate Relevant Legal Regulations.
4 Conclusion and Outlook.
Record Nr. UNINA-9910878993703321
Huang De-Shuang  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part III / / edited by De-Shuang Huang, Zhanjun Si, Qinhu Zhang
Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part III / / edited by De-Shuang Huang, Zhanjun Si, Qinhu Zhang
Autore Huang De-Shuang
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (544 pages)
Disciplina 006.3
Altri autori (Persone) SiZhanjun
ZhangQinhu
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computers
Computer networks
Data mining
Image processing - Digital techniques
Computer vision
Software engineering
Artificial Intelligence
Computing Milieux
Computer Communication Networks
Data Mining and Knowledge Discovery
Computer Imaging, Vision, Pattern Recognition and Graphics
Software Engineering
Intel·ligència artificial
Xarxes d'ordinadors
Mineria de dades
Processament digital d'imatges
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9789819756698
9789819756681
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part III -- Natural Language Processing and Computational Linguistics -- STAR: Syntax- and Topic-Aware Role Dialogue Summarization -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Task Definition -- 3.2 Role Prompts -- 3.3 Utterance Mask -- 3.4 Syntax- and Topic-Aware Role Model -- 4 Experiments -- 4.1 Basic Settings -- 4.2 Evaluation Metrics -- 5 Results and Discussions -- 5.1 Main Results -- 5.2 Ablation Study -- 5.3 Speed Study -- 6 Conclusion -- References -- ACT-R Theory Can Promote Personality Analysis of Social Network Subjects -- 1 Motivation -- 2 Theoretical Foundation -- 2.1 MBTI Personality Model -- 2.2 The Personality Cognition Approach Based on Social Text Data -- 3 Cognitive Processes of MBTI Personality Based on the ACT-R -- 3.1 Generative Rule Design (GRD) -- 3.2 Module Design -- 3.3 Cognitive Processes of Personality -- 4 Experimental Tests -- 5 Future Expectations and Limitations -- 6 Summary -- References -- MSMD: A Multi-Stage Meta Distillation Strategy for Cross-Lingual Natural Language Understanding -- 1 Introduction -- 2 Data and Methods -- 2.1 Dataset -- 2.2 Methodology -- 3 Results -- 3.1 Experimental Setup -- 3.2 Baselines -- 3.3 Evaluation -- 3.4 Experimental Results -- 4 Discussion -- 5 Conclusions -- References -- A Bilingual Templates Data Augmentation Method for Low-Resource Neural Machine Translation -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Template Generation Algorithm -- 3.2 Data Augmentation Strategy -- 4 Experiment and Settings -- 4.1 Datasets -- 4.2 Pre-processing and Settings -- 5 Results -- 5.1 Performance on Different Translation Tasks -- 5.2 Comparison with Other Data Augmentation (DA) Methods -- 5.3 Performance by Sentence Length -- 5.4 Ablation Study -- 5.5 Comparison of BLEU Score and Training Loss -- 6 Conclusion -- References.
Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models -- 1 Introduction -- 2 Methodology -- 2.1 EOL in the Context of Discriminative Models -- 2.2 EOL in the Context of Generative Models -- 2.3 Pretended CoT and Knowledge Enhancement -- 3 Experiments -- 3.1 Efficacy on 7B-Scale Generative PLMs -- 3.2 Computational Cost Comparison -- 3.3 PLM Performance Across Different Scales -- 4 Analysis -- 4.1 Alignment and Uniformity -- 4.2 Attention Allocation -- 5 Conclusion -- References -- DocBAN: An Efficient Biaffine Attention Network for Document-Level Named Entity Recognition -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Task Formalization -- 3.2 Encoder Module -- 3.3 Span Representation Module -- 3.4 Classification Module -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Main Results and Analysis -- 5 Conclusion -- References -- A Knowledge Graph Question Answering Approach Based on Graph Attention Networks and Relational Path Encoding -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Encoding Module -- 3.2 Inference Module -- 4 Experimentation -- 4.1 Results and Analysis -- 4.2 Ablation Study -- 5 Conclusion -- References -- News Sequence Recommendation Model with Dual-View Category Enhancement -- 1 Introduction -- 2 Related Work -- 3 Recommendation Method -- 3.1 Model Framework -- 3.2 Generation of News Representation Vectors -- 3.3 Generation of User Representation Vector -- 4 Experiments -- 4.1 Dataset and Metrics -- 4.2 Comparative Models -- 4.3 Results and Analysis -- 4.4 Ablation Study -- 4.5 Hyperparameter Analysis -- 5 Conclusion -- References -- CRFLOE: Context Region Filter and Relation Word Aware for Document-Level Relation Extraction -- 1 Introduction -- 2 Related Work -- 2.1 Relation Extract -- 2.2 Document-Level Relation Extraction -- 3 Proposed Method -- 3.1 Problem Formulation.
3.2 Representation Learning -- 3.3 Context Region Aware -- 3.4 Relation Classifier -- 3.5 Relation Word Aware -- 4 Experiments -- 4.1 Dataset Statistics -- 4.2 Experiment Setup -- 4.3 Results on DocRE -- 4.4 Results on Re-DocRE -- 4.5 Results on CDR and GDA -- 4.6 Performance Analysis -- 5 Conclusion -- References -- Multi-task Learning for Hyper-Relational Knowledge Graph Completion -- 1 Introduction -- 2 Related Work -- 2.1 Hyper-relational Knowledge Graph Completion -- 2.2 Dynamic Loss Balancing -- 3 Preliminaries -- 3.1 Definition of Hyper-Relational Knowledge Graph -- 3.2 Definition of Hyper-Relational Knowledge Graph Completion -- 3.3 Definition of Task Difficulty -- 4 Method -- 4.1 Triple Encoder and Qualifier Encoder -- 4.2 Coarse-Grained Transformer Encoder -- 4.3 Fined-Grained Transformer Encoder -- 4.4 Training of MTL-HKGC Based on Task Difficulty -- 5 Experiment -- 5.1 Basic Setting -- 5.2 Entity Prediction Results -- 5.3 Relation Prediction Results -- 5.4 Effects of Multi-task Learning Architecture and Dynamic Loss Weighting -- 6 Conclusion -- References -- Instruct-Code-Llama: Improving Capabilities of Language Model in Competition Level Code Generation by Online Judge Feedback -- 1 Introduction -- 2 Dataset -- 2.1 Dataset Source -- 2.2 Rating Strategy -- 2.3 Data Split -- 3 Methods and Training Details -- 3.1 High-Level Methodology -- 3.2 Training -- 4 Results -- 4.1 Results on APPS -- 4.2 Loop Keywords -- 5 Conclusions -- References -- ICLFP-NMT: Neural Machine Translation for ICL Flexible Prompt -- 1 Introduction -- 2 Relate Works -- 3 Approach -- 3.1 Instances Generation Methods Based on Soft Prototypes -- 3.2 Virtual Template Automated Construction Methods -- 4 Experiments -- 4.1 Dataset and Experimental Methods -- 4.2 Baseline and Comparison Models -- 4.3 Experimental Results and Analysis -- 4.4 Ablation Experiment -- 5 Conclusion.
References -- Optimizing Multi-feature Dependent Story Generation Model -- 1 Introduction -- 2 Related Work -- 2.1 Text Genertion -- 2.2 Common Sense Knowledge -- 3 Method -- 3.1 Knowledge Retrieval -- 3.2 Dual-Encoder -- 3.3 Knowledge Management Decoder -- 4 Experiments -- 4.1 Datasets and Common Sense Knowledge -- 4.2 Experimental Details -- 4.3 Baselines and Evaluation Methods -- 4.4 Automatic Evaluation -- 4.5 Manual Evaluation -- 4.6 Comparative Experiments of Knowledge -- 4.7 Case Study -- 5 Conclusions -- References -- Improving Empathetic Response Generation by Emotion Recognition and Information Filtration -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Task Definition -- 3.2 Emotion Recognition -- 3.3 Information Filtration -- 3.4 Response Generation -- 3.5 Loss Function -- 4 Experiments -- 4.1 Dateset and Baselines -- 4.2 Evaluation Metrics -- 4.3 Results -- 4.4 Ablation Study -- 4.5 Case Study -- 4.6 Conclusion -- References -- Implementing Dialogue Emotion Recognition via Recursive Propagation of Explicit Emotions -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Problem Definition -- 3.2 Model Overview -- 3.3 Feature Extraction Module -- 3.4 Emotional Contagion Module -- 3.5 Emotional Inheritance Module -- 3.6 Classification and Training -- 4 Experiments -- 4.1 Datasets and Evaluation Indicators -- 4.2 Baselines -- 4.3 Implementation Details -- 4.4 Results and Analysis -- 4.5 Ablation Study -- 4.6 Visualization of Dialogue Emotion Mapping -- 5 Conclusion -- References -- Refining ChatGPT for Document-Level Relation Extraction: A Multi-dimensional Prompting Approach -- 1 Introduction -- 2 Method -- 2.1 Prompt Template -- 2.2 Multi Dimensional Prompting -- 3 Experiment and Analysis -- 3.1 Experimental Setup -- 3.2 Baseline -- 3.3 Main Results -- 3.4 Ablation Study -- 3.5 Hyperparameter Analysis.
3.6 Analysis of Bottlenecks and Potential Improvements -- 3.7 Conclusion -- References -- AugSBertChat: User Feedback-Enhanced QA with Sentence-RoBERTa -- 1 Introduction -- 2 Background and Preliminaries -- 2.1 Problem Definition -- 2.2 Evaluation Metric -- 3 AugSBertChat -- 3.1 Scoring Model -- 3.2 Sentence-RoBERTa Enhanced by In-Domain Symmetric Semantic Search -- 3.3 Optimizing Response Generation Using Scoring Model -- 4 Experiments -- 4.1 Experiment Settings -- 4.2 Experimental Results and Analysis -- 5 Conclusion -- References -- Overlapping Entity Relation Extraction Based on Syntactic Dependency Tree and Multi-dimensional Corner Marking Strategy -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Semantic Feature Extraction -- 3.2 Syntactic Feature Extraction -- 3.3 Feature Fusion -- 3.4 Multi-dimensional Corner Marking Strategy -- 3.5 Score-Based Classifier -- 4 Experiments -- 4.1 Datasets and Evaluation Indicators -- 4.2 Experimental Results and Analysis -- 4.3 Ablation Experiment -- 4.4 Entity Relation Overlap Problem -- 5 Conclusion -- References -- Document-Level Relation Extraction with Additional Evidence and Entity Type Information -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Problem Formulation -- 3.2 Encoder -- 3.3 STA Layer -- 3.4 Context Pooling and Evidence Fusion -- 3.5 Entity Type Constraint -- 3.6 Classifier and Loss Function -- 3.7 Inference Stage Fusion -- 4 Experiment -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Implementation Details -- 4.4 Experiment Result -- 4.5 Ablation Study -- 4.6 The Performance of Entity Type Constraint -- 5 Conclusion -- References -- Multi-level Contrastive Learning for Keyphrase Generation -- 1 Introduction -- 2 Related Work -- 2.1 Keyphrase Generation -- 2.2 Contrastive Learning -- 3 Methodology -- 3.1 Problem Definition and Framework -- 3.2 Backobone.
3.3 Phrase-Level Contrastive Learning.
Record Nr. UNINA-9910878980703321
Huang De-Shuang  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
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Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part VI / / edited by De-Shuang Huang, Zhanjun Si, Jiayang Guo
Advanced Intelligent Computing Technology and Applications : 20th International Conference, ICIC 2024, Tianjin, China, August 5–8, 2024, Proceedings, Part VI / / edited by De-Shuang Huang, Zhanjun Si, Jiayang Guo
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (516 pages)
Disciplina 006.3
Collana Lecture Notes in Computer Science
Soggetto topico Computational intelligence
Computer networks
Machine learning
Application software
Computational Intelligence
Computer Communication Networks
Machine Learning
Computer and Information Systems Applications
Intel·ligència artificial
Xarxes d'ordinadors
Mineria de dades
Processament digital d'imatges
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 981-9755-97-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part VI -- Image Processing -- Dual-Stream Input Gabor Convolution Network for Building Change Detection in Remote Sensing Images -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Overall Framework -- 3.2 SCM Module -- 3.3 AFM Module -- 3.4 Loss Function -- 4 Experiment Results and Analysis -- 4.1 Datasets and Experimental Platform -- 4.2 Evaluation Metric -- 4.3 The Influence of Different Parameters in Gabor Convolution -- 4.4 Comparative Experiment -- 4.5 Ablation Experiment -- 5 Conclusion -- References -- Contextual Feature Modulation Network for Efficient Super-Resolution -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning-Based Image Super-Resolution -- 2.2 Efficient Image Super-Resolution -- 3 Proposed Method -- 3.1 Network Architecture -- 3.2 Multi-scale Feature Spatial Modulation -- 3.3 Channel Attention Fusion Module -- 3.4 Feature Fusion Module -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Comparison to Other Methods -- 4.3 Ablation -- 5 Conclusion -- References -- Fine-Grained Image Editing Using ControlNet: Expanding Possibilities in Visual Manipulation -- 1 Introduction -- 2 Related Work -- 2.1 Image Editing -- 2.2 Image Editing -- 3 Method -- 3.1 Partial Mask -- 3.2 Spatial Features Injection -- 3.3 Classifier-Guidance-Based Editing Design -- 4 Experiment -- 4.1 Implementation Details -- 4.2 Metrics -- 4.3 Ablation Study -- 4.4 Qualitative Evaluation -- 4.5 Quantitative Evaluation -- 5 Conclusion -- References -- MDIINet: A Few-Shot Semantic Segmentation Network by Exploiting Multi-dimensional Information Interaction -- 1 Introduction -- 2 Problem Setup -- 3 Proposed Approach -- 3.1 Inter-class Feature Fusion Module -- 3.2 High-Level Feature Extraction Module -- 3.3 Feature Fusion and Decoded Output -- 3.4 Hybrid Loss -- 4 Experiments -- 4.1 Experimental Setting.
4.2 Results and Analysis -- 4.3 Ablation Study -- 5 Conclusion -- References -- A Large Model Assisted Remote Sensing Image Scene Understanding Algorithm Based on Object Detection -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Network Structure of Large Model Assisted Visual Scene Understanding Algorithm -- 3.2 Prompt Engineering Based on Large Language Modelg -- 4 Experiments -- 4.1 Scene Description and Visualization Analysis of QA -- 4.2 Design of Visual Scene Understanding System -- 5 Conclusion -- References -- PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation -- 1 Introduction -- 2 Methodology -- 2.1 Overview -- 2.2 Dynamic Mix Augmentation from Heterogeneous Views -- 2.3 Uncertainty-Guided Pixel-Level Contrastive Learning -- 2.4 Regularization of Supervision via Dual Consistency -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Quantitative Comparison -- 3.3 Ablation Study -- 3.4 Visualization Analysis -- 4 Conclusions -- References -- Few-Shot Domain Adaptation via Prompt-Guided Multi-prototype Alignment Network -- 1 Introduce -- 2 Relate Work -- 3 Method -- 3.1 Prompt-Based Prototype Alignment Network -- 3.2 Domain-Specific Feature Mapping Network -- 3.3 Design of Multi-text-Guided Soft Prompts -- 4 Experiments -- 4.1 Experiment Setting -- 4.2 Implementation Details. -- 4.3 Comparison with State-Of-The-Art DA Methods -- 4.4 Ablation Study and Analyse -- 5 Conclusion -- References -- Controllable Rain Image Generation: Balance Between Diversity and Controllability -- 1 Introduction -- 2 The Proposed Method -- 2.1 Generative Model -- 2.2 Training Strategy -- 3 Experimental Results -- 3.1 Rain Generation Experiments -- 3.2 Disentanglement Experiments -- 3.3 Rain Removal Experiments -- 4 Conclusion and Future Work -- References.
Unsupervised Domain Adaptation in Medical Image Segmentation via Fourier Feature Decoupling and Multi-teacher Distillation -- 1 Introduction -- 2 Related Work -- 2.1 Unsupervised Domain Adaptation -- 2.2 Multi-teacher Knowledge Distillation Models -- 3 Method Overview -- 3.1 Feature Decoupling Based on Fourier Transform -- 3.2 Multi-teacher Knowledge Distillation Module -- 3.3 Dynamic Weighting Adaptive Strategy -- 4 Experiments -- 4.1 Dataset and Evaluation Metrics -- 4.2 Validation of Different Models Adaptability in the Target Domain -- 4.3 Validation of the Effectiveness of Fourier Feature Decoupling Method -- 4.4 Performance Validation of Multi-teacher Knowledge Distillation Network -- 5 Conclusion -- References -- DeCoGAN: Photo Cartoonization Based on Deformation Consistency GAN -- 1 Introduction -- 2 Methodology -- 2.1 Network Architecture -- 2.2 Loss Function -- 3 Experiments -- 3.1 Dataset -- 3.2 Parameters -- 3.3 Qualitative Evaluation -- 3.4 Quantitative Evaluation -- 3.5 Ablation Study -- 4 Conclusion and Limitation -- References -- Self-supervised Siamese Networks with Squeeze-Excitation Attention for Ear Image Recognition -- 1 Introduction -- 2 Classical Convolutional Neural Network -- 3 Methods -- 3.1 Siamese Network -- 3.2 SE-SiamNet -- 4 Experimental Result -- 4.1 Dataset Description -- 4.2 Experimental Setup -- 4.3 Result Analysis -- 5 Conclusion -- References -- CtF: Mitigating Visual Confusion in Continual Learning Through a Coarse-To-Fine Screening -- 1 Introduction -- 2 Related Work -- 2.1 Continual Learning -- 2.2 Vision-Language Model -- 3 Proposed Method -- 3.1 Preliminary Analysis -- 3.2 Coarse-To-Fine Screening Framework -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Quantitative Evaluation -- 4.3 Ablation Study -- 4.4 Sensitivity Study -- 5 Conclusion -- References -- HDR Video Coding Based on Perceptual Optimization.
1 Introduction -- 2 Perceptual Optimization Model -- 2.1 Perceptual Lossless Preprocessing Model -- 2.2 Visual Perceptual Saliency -- 2.3 CTU-Level Quantization Model -- 3 Results and Analysis -- 4 Conclusion -- References -- Infrared-Visible Light Image Fusion Method Based on Weighted Salience Detection and Visual Information Preservation -- 1 Introduction -- 2 Proposed Method -- 2.1 Two-Scale Image Decomposition Based on Average Filter -- 2.2 Weighted Visual Significance Feature Extraction -- 2.3 The Final Detail Layer and Visible Image Fusion Based on Grayscale Driven -- 3 Experiments and Results -- 3.1 Experimental Setup -- 3.2 Comparative Experiment -- 4 Conclusions -- References -- CAT-DG: A Cross-Attention-Based Domain Generalization Model for Medical Image Segmentation -- 1 Introduction -- 2 Related Work -- 2.1 Concepts Related to Domain Generalization -- 2.2 The FLLN-DG Model -- 2.3 Cross-Attention Mechanism -- 3 Cross-Attention-Based Segmentation Model for Domain Generalization -- 3.1 Model Architecture -- 3.2 Cross-Attention Module -- 3.3 Loss Function -- 4 Experiments and Results -- 4.1 Dataset and Parameter Settings -- 4.2 Performance Comparison of Different Models -- 4.3 Ablation Experiments -- 5 Conclusion -- References -- Superpixel-Based Dual-Neighborhood Contrastive Graph Autoencoder for Deep Subspace Clustering of Hyperspectral Image -- 1 Introduction -- 2 Proposed Methods -- 2.1 Construction of Dual-Neighborhood Graph -- 2.2 Superpixel Dual-Neighborhood Contrastive Graph Autoencoder -- 2.3 Contrastive Learning -- 2.4 Objective Function and Optimization -- 3 Experiment -- 3.1 Experiment Setup -- 3.2 Comparison with State-of-the-Art Methods -- 3.3 Parameter Analysis -- 3.4 Ablation Study -- 4 Conclusion -- References -- SMVT: Spectrum-Driven Multi-scale Vision Transformer for Referring Image Segmentation -- 1 Introduction.
2 Related Works -- 3 Method -- 3.1 Overview -- 3.2 Cross-modal Feature Encoder -- 3.3 Spectrum-Driven Fusion Attention -- 3.4 Cross-modal Feature Refinement Enhancement Module -- 3.5 Prediction Mask and Loss Function -- 4 Experiments -- 4.1 Dataset and Evaluation Metrics -- 4.2 Implementation Details -- 4.3 Comparison with State-of-the-Art Methods -- 4.4 Ablation Study -- 5 Conclusion -- References -- GDCSF: Global Depth Convolution-Based Swin Framework for Electron Microscopy Pollen Image Classification -- 1 Introduction -- 2 Research Background -- 3 Methodology -- 3.1 Swin Transformer -- 3.2 Strip Convolution Scaling Module -- 3.3 Field Dual Bilateral Attention Module -- 3.4 Measurement -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Experimental Settings -- 4.3 Experimental Results and Inference -- 4.4 Ablation Experiments -- 5 Conclusions -- References -- Adversarial Attack Against Convolutional Neural Network via Gradient Approximation -- 1 Introduction -- 2 Related Work -- 2.1 Notions -- 2.2 Convolutional Neural Network -- 2.3 Threat Model -- 3 Methodologies -- 3.1 Model Framework -- 3.2 Gradient Optimization -- 3.3 Adversarial Sample Generation -- 4 Experiments -- 4.1 Experimental Setups -- 4.2 Experimental Analysis -- 5 Conclusion -- References -- Hierarchical Cascaded Multi-Axis Window Self-Attention and Layer Feature Fusion for Brain Glioma Segmentation -- 1 Introduction -- 2 Related Work -- 3 Method Overview -- 3.1 Model Architecture -- 3.2 Hierarchical Cascaded Multi-Axis Window Self-Attention -- 3.3 Layer Feature Fusion -- 4 Experiments -- 4.1 Dataset -- 4.2 Training and Parameter Settings -- 4.3 Validation of the Effectiveness of the Hierarchical Cascaded Multi-Axis Window Self-Attention Component -- 4.4 Validation of the Effectiveness of the Layer Feature Fusion Component -- 4.5 Performance Comparison of Different Models.
5 Conclusion.
Record Nr. UNINA-9910878992303321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
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Advances in intelligent computing and communication : proceedings of ICAC 2020 ; Bhubaneswar, Odisha, India, November 2020 / / editors, Swagatam Das, Mihir Narayan Mohanty
Advances in intelligent computing and communication : proceedings of ICAC 2020 ; Bhubaneswar, Odisha, India, November 2020 / / editors, Swagatam Das, Mihir Narayan Mohanty
Pubbl/distr/stampa Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (713 pages) : illustrations (chiefly color)
Disciplina 621.382
Collana Lecture notes in networks and systems
Soggetto topico Digital communications
Image processing - Digital techniques
Soft computing
Processament digital d'imatges
Intel·ligència artificial en medicina
Informàtica mèdica
COVID-19
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 981-16-0695-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Classification and Detection of Leaves using Different Image processing Techniques Chapter 2. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques Chapter 3. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques Chapter 4. Realization of a vehicular robotic system using the principle of photonics Chapter 5. A Modified Hybrid Planar Antenna for Cognitive Radio Application Chapter 6. Detection of Broken and Good Medical Tablets Using Various Machine Learning Models Chapter 7. Lungs Nodule Prediction using Convolutional Neural Network and K-Nearest Neighbor Chapter 8. Quantitative Structure Activity Relationships (QSARs) Study for KCNQ Genes(Kv7) and Drug discovery Chapter 9. Apple fruit disease detection and classification using k-means clustering method Chapter 10. A Detailed Review of the Optimal Distributed Generation Placement in Smart Power Distribution Systems
Record Nr. UNINA-9910483988903321
Singapore : , : Springer, , [2021]
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