Info
2023 International Conference on Energy Engineering / / edited by Zhe Chen, Wenming Yang, Hao Chen
| 2023 International Conference on Energy Engineering / / edited by Zhe Chen, Wenming Yang, Hao Chen |
| Autore | Chen Zhe |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (974 pages) |
| Disciplina | 621.042 |
| Altri autori (Persone) |
YangWenming
ChenHao |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electric power distribution
Electric power production Petrology Energy Grids and Networks Mechanical Power Engineering |
| ISBN |
9789819771462
9819771463 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Study on oxidative exothermic and pyrolytic endothermic characteristics and kinetics of Chang7 medium-low maturity shale oil reservoir in the southern margin of Ordos Basin -- Correction of Methane Oxidation Kinetic Parameters in On-site Hydrogen Production Based on Combustion Tube Experiments -- DG Hosting Capacity Analysis Based on Affine Voltage Sensitivity -- Short-Term Industrial Load Forecasting Based On VMD-KELM-Xgboost -- A carbon reduction contribution allocation method of distribution network with photovoltaic and storage devices based on carbon flowing tracking. |
| Record Nr. | UNINA-9910886073003321 |
Chen Zhe
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data and Social Computing : 10th China National Conference, BDSC 2025, Kunming, China, August 15–17, 2025, Proceedings / / edited by Xiaofeng Meng, Lizhen Wang, Hongmei Chen, Hao Chen, Shuai Xu, Xiu-Xiu Zhan
| Big Data and Social Computing : 10th China National Conference, BDSC 2025, Kunming, China, August 15–17, 2025, Proceedings / / edited by Xiaofeng Meng, Lizhen Wang, Hongmei Chen, Hao Chen, Shuai Xu, Xiu-Xiu Zhan |
| Autore | Meng Xiaofeng |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (747 pages) |
| Disciplina | 004.6 |
| Altri autori (Persone) |
WangLizhen
ChenHongmei ChenHao XuShuai ZhanXiu-Xiu |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer networks
Image processing - Digital techniques Computer vision Application software Computer Communication Networks Computer Imaging, Vision, Pattern Recognition and Graphics Computer and Information Systems Applications |
| ISBN | 981-9508-80-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Digital Society Construction and Governance. -- CNN-Based Grain Quality and Quantity Prediction from Small Samples. -- Echo Chambers and Filter Bubbles Reconsidered: Unpacking Scholarly, Industrial, and Media Perspectives on Their Existence and Causes. -- Exploration of Resilience in Nonlinear Collaborative Supply Chain Networks. -- Detecting Malicious Websites Based on the System Provenance Dependency Graph and GraphSAGE. -- Research on Critical Node Identification and Resilience Optimization Strategies for Urban Infrastructure Systems Considering Disaster Vulnerability. -- Modelling and Simulation of Social Systems. -- Resilience Analysis of Chinese Supply Chain Network Based on Critical Point Theory of Cooperative Network. -- A Study of Population Census System Based on Signaling Data: A Case Study with Greater Bay Area Data. -- An Effective and Efficient Framework for Mining Top-k Regional Co-location Patterns. -- Optimizing Trust Mechanisms in Humanitarian Relief Logistics: A Mixed Methods Approach. -- Internet Intelligent Algorithm Governance. -- Artificial Intelligence Rumor Debunking: Influencing Factors and Mechanisms of Usage Intention. -- An Integrated Analysis of Online Public Opinion on School Bullying: Combining LDA Topic Modeling and Sentiment Analysis. -- M/M/c Queueing Model with Priorities and Variable Matching Rates. -- Deep Multi-view Clustering Based on Cross-view Consistency and Adaptive Feature Weighting Mechanism. -- Social Network and Group Behavior. -- Incremental Community Search in Dynamic Attributed Heterogeneous Information Networks. -- A Key User Influence Discovery Model Based on Multipropagation Dimensions in Topic Network. -- Understanding Cross-Platform Links in User Profiles: A Data-Driven Analysis on Mastodon. -- Multilayer Network Dismantling Problem based on Genetic Evolution. -- Social Bot Detection via Heterogeneous Graph Learning and Sample Balancing Strategies. -- Cost-aware Hypergraph Dismantling via Spectral Bridge Identification. -- The Impact of Online Argumentation Strategies on Audience Persuasion: the Moderating Effect of the Big Five Personality. -- Innovation, Risks, and Security of Large Language Models. -- Causal Correlation-Driven Dynamic Weighting with Large Language Models for Aero-Engine Remaining Useful Life Prediction. -- Risks of large language models misalignment: Multi-stakeholder obligations and governance. -- Cultural Conflicts Between Generative AI and the Cultural Values of Language — User Acculturation Strategies. -- Exploring Bias Formation Mechanisms in Legal LLMs from a Cognitive Science Perspective. -- Artificial Intelligence and Cognitive Science. -- Dual Contrastive Incomplete Multi-View Clustering with Clustering-Oriented Guidance. -- Dust Image Recognition Based on Improved U-Net Model with Pyramid Structure. -- Progressive Feature Contrastive and Self-Weighted Neighbor-masked Fusion for Multi-View Clustering. -- Spatio-Temporal Graph Representation Learning for POI Recommendation. -- Big Five Personality Traits and State-Level Disparities in Mental Health Outcomes: Differential Associations with Substance Abuse and Mental Disorders. -- Applications of Large Language Models in Societal Contexts. -- Large Language Models are Great sEMG-Based Hand Gesture Recognizers. -- Medical Staff Personal Protective Equipment Detection Network via Global Information and Multi-path Feature Fusion. -- A Detection Method for the Dismantling Sequence of Protective Equipment for Medical Staff Based on Video Segmentation. -- Between Life and Death: A Computational Analysis of AI Resurrection Discourse on Chinese Social Media. -- Generative AI for Mental Health Education: A Comparison of ChatGPT and DeepSeek. -- Social Geography and Urban Computing. -- HeteroMoE: Spatio-temporal Heterogeneity Learning via Gated Mixture-of-Experts Networks. -- Regional Personality and Life Outcomes in the USA: A State-Level Correlational Analysis. -- Why Do Pro-Environmental Behaviors Diverge Between China and the West? — A Bibliometric Study Based on CiteSpace. -- PM2.5 Dispersion Path Prediction Model Based on Spatio-Temporal Attention Network. -- State-level Insights into Personality and Well-being: A Correlational Analysis Based on a Large U.S. Sample. -- STMGNN: A Spatio-Temporal Graph Model with Mamba for Long-term Traffic Flow Forecasting. |
| Record Nr. | UNINA-9911039322203321 |
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Meng Xiaofeng
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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High Performance Geographic Information System : Architecture and Technologies / / by Wei Xiong, Ye Wu, Xue Ouyang, Qing-ren Jia, Hao Chen, Luo Chen
| High Performance Geographic Information System : Architecture and Technologies / / by Wei Xiong, Ye Wu, Xue Ouyang, Qing-ren Jia, Hao Chen, Luo Chen |
| Autore | Xiong Wei |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (334 pages) |
| Disciplina | 910.285 |
| Altri autori (Persone) |
WuYe
OuyangXue JiaQing-ren ChenHao ChenLuo |
| Soggetto topico |
Geographic information systems
Computational intelligence Engineering - Data processing Geographical Information System Computational Intelligence Data Engineering |
| ISBN | 981-9771-70-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- The Architecture of High Performance Geographic Information System -- Management of Big Spatial Data -- Multi-paradigm Geocomputing -- Online Mapping and Visualization High pearformance GIS -- High performance GIS Platform -- Application of High performance GIS -- Trends of High performance GIS. |
| Record Nr. | UNINA-9910896532103321 |
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Xiong Wei
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Myopic Maculopathy Analysis : MICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual Event, October 8-12, 2023, Proceedings
| Myopic Maculopathy Analysis : MICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual Event, October 8-12, 2023, Proceedings |
| Autore | Sheng Bin |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (131 pages) |
| Altri autori (Persone) |
ChenHao
WongTien Yin |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-031-54857-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction -- 1 Introduction -- 2 Materials and Methods -- 2.1 Datasets -- 2.2 Task 1: Classification of Myopic Maculopathy -- 2.3 Task 2: Segmentation of Myopic Maculopathy Plus Lesions -- 2.4 Task 3: Prediction of Spherical Equivalent -- 2.5 Implementation Details -- 3 Results -- 3.1 Task 1: Classification of Myopic Maculopathy -- 3.2 Task 2: Segmentation of Myopic Maculopathy Plus Lesions -- 3.3 Task 3: Prediction of Spherical Equivalent -- 4 Discussion and Conclusions -- References -- Swin-MMC: Swin-Based Model for Myopic Maculopathy Classification in Fundus Images -- 1 Introduction -- 2 Method -- 2.1 Enhanced ArcFace Loss with 3 Sub-centers -- 2.2 Weak Label -- 3 Experiments -- 3.1 Dataset and Evaluation Measures -- 3.2 Image Preprocessing and Augmentation -- 3.3 Implementation Details -- 4 Results and Discussion -- 4.1 Results on Testing Set -- 4.2 Visualization Heatmap Analysis -- 4.3 Ablation Study in Further Test Phase -- 4.4 Limitation and Future Work -- 5 Conclusion -- References -- Towards Label-Efficient Deep Learning for Myopic Maculopathy Classification -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Pre-training -- 3.2 Network Architecture -- 3.3 Pseudo Labeling -- 3.4 Image Resolution -- 3.5 Loss Function -- 3.6 Model Ensemble -- 4 Experiment -- 4.1 Dataset -- 4.2 Implementation Details -- 4.3 Evaluation Metrics -- 4.4 Results on the Validation Set -- 4.5 Results on the MMAC Leaderboard -- 5 Conclusion -- References -- Ensemble Deep Learning Approaches for Myopic Maculopathy Plus Lesions Segmentation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Network Architecture -- 3.2 Loss Function -- 3.3 Model Ensemble -- 4 Experiments.
4.1 Dataset -- 4.2 Implementation Details -- 4.3 Evaluation Metrics -- 4.4 Results on the Validation Set -- 4.5 Results on the Leaderboard -- 4.6 Visual Segmentation Results -- 5 Conclusion -- References -- Beyond MobileNet: An Improved MobileNet for Retinal Diseases -- 1 Introduction -- 2 Related Work -- 2.1 CNN-Based Method for RD Diagnosis -- 2.2 VIT-Based Method for RD Diagnosis -- 3 Methods -- 3.1 Network Design -- 3.2 Training Techniques -- 4 MMAC - Classification of Myopic Maculopathy -- 4.1 Dataset and Evaluation Metrics -- 4.2 Implementation Details -- 4.3 Experimental Results -- 5 Conclusion -- References -- Prediction of Spherical Equivalent with Vanilla ResNet -- 1 Introduction -- 2 Related Works -- 3 Methods -- 4 Results -- 5 Discussion: The Significance of Proper Data Augmentation -- 6 Conclusion -- References -- Semi-supervised Learning for Myopic Maculopathy Analysis -- 1 Introduction -- 2 Related Work -- 3 Datasets -- 4 Segmentation of Myopic Maculopathy Plus Lesions -- 5 Prediction of Spherical Equivalent -- 6 Conclusions -- References -- A Clinically Guided Approach for Training Deep Neural Networks for Myopic Maculopathy Classification -- 1 Introduction -- 2 Methods -- 2.1 Datasets and Pre-processing -- 2.2 Image Synthesis Pipeline Guided by Clinical Domain Knowledge -- 2.3 Mix-Up Augmentation -- 2.4 Evaluation Metrics -- 2.5 Training Details -- 2.6 Ensemble Prediction via Test-Time Augmentation -- 3 Results -- 4 Conclusions and Future Directions -- References -- Classification of Myopic Maculopathy Images with Self-supervised Driven Multiple Instance Learning Network -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning in Myopic Maculopathy Analysis -- 2.2 Multiple Instance Learning -- 2.3 Self-supervised Learning -- 3 Methodology -- 3.1 Generative Data Augmentation -- 3.2 Backbone Architecture -- 4 Experiments. 4.1 Datasets and Implementation -- 4.2 Results -- 5 Conclusion -- References -- Self-supervised Learning and Data Diversity Based Prediction of Spherical Equivalent -- 1 Introduction -- 2 Our Solution -- 2.1 Baseline -- 2.2 Self-supervised Learning -- 2.3 Increase Data Diversity -- 2.4 Part of Data -- 2.5 Test-Time Augmentation -- 3 Experiment -- 3.1 Implement Details -- 3.2 Experiment Results -- 4 Conclusion -- References -- Myopic Maculopathy Analysis Using Multi-task Learning and Pseudo Labeling -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Multi-task Learning -- 3.2 Pseudo-labeling -- 4 Results -- 5 Conclusion -- References -- Author Index. |
| Record Nr. | UNISA-996587859203316 |
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Sheng Bin
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Myopic Maculopathy Analysis : MICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual Event, October 8–12, 2023, Proceedings / / edited by Bin Sheng, Hao Chen, Tien Yin Wong
| Myopic Maculopathy Analysis : MICCAI Challenge MMAC 2023, Held in Conjunction with MICCAI 2023, Virtual Event, October 8–12, 2023, Proceedings / / edited by Bin Sheng, Hao Chen, Tien Yin Wong |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (131 pages) |
| Disciplina | 617.715 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Computer vision Artificial Intelligence Computer Vision |
| ISBN | 3-031-54857-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent Prediction -- Swin-MMC: Swin-Based Model for Myopic Maculopathy Classification in Fundus Images -- Towards Label-efficient Deep Learning for Myopic Maculopathy Classification -- Ensemble Deep Learning Approaches for Myopic Maculopathy Plus Lesions Segmentation -- Beyond MobileNet: An improved MobileNet for Retinal Diseases -- Prediction of Spherical Equivalent With Vanilla ResNet -- Semi-supervised learning for Myopic Maculopathy Analysis -- A Clinically Guided Approach for Training Deep Neural Networks for Myopic Maculopathy Classification -- Classification of Myopic Maculopathy Images with Self-supervised Driven Multiple Instance Learning Network -- Self-supervised Learning and Data Diversity based Prediction of Spherical Equivalent -- Myopic Maculopathy Analysis using Multi-Task Learning and Pseudo Labeling. |
| Record Nr. | UNINA-9910842287103321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Network and Parallel Computing [[electronic resource] ] : IFIP International Conference, NPC 2004, Wuhan, China, October 18-20, 2004. Proceedings / / edited by Hai Jin, Guangrong Gao, Zhiwei Xu, Hao Chen
| Network and Parallel Computing [[electronic resource] ] : IFIP International Conference, NPC 2004, Wuhan, China, October 18-20, 2004. Proceedings / / edited by Hai Jin, Guangrong Gao, Zhiwei Xu, Hao Chen |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (XX, 700 p.) |
| Disciplina | 004.35 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Computer communication systems Software engineering Operating systems (Computers) Algorithms Application software Theory of Computation Computer Communication Networks Software Engineering Operating Systems Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) |
| ISBN | 3-540-30141-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Secure Grid Computing with Trusted Resources and Internet Datamining -- Session 1: Grid Computing -- Session 2: Peer-to-Peer Computing -- Session 3: Web Techniques -- Session 4: Cluster Computing -- Session 5: Parallel Programming and Environment -- Session 6: Network Architecture -- Session 7: Network Security -- Session 8: Network Storage -- Session 9: Multimedia Service -- Workshop1: Building Intelligent Sensor Networks -- Workshop2: Multimedia Modeling and the Security in the Next Generation Network Information Systems. |
| Record Nr. | UNISA-996465564003316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Network and Parallel Computing : IFIP International Conference, NPC 2004, Wuhan, China, October 18-20, 2004. Proceedings / / edited by Hai Jin, Guangrong Gao, Zhiwei Xu, Hao Chen
| Network and Parallel Computing : IFIP International Conference, NPC 2004, Wuhan, China, October 18-20, 2004. Proceedings / / edited by Hai Jin, Guangrong Gao, Zhiwei Xu, Hao Chen |
| Edizione | [1st ed. 2004.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 |
| Descrizione fisica | 1 online resource (XX, 700 p.) |
| Disciplina | 004.35 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Computer networks Software engineering Operating systems (Computers) Algorithms Application software Theory of Computation Computer Communication Networks Software Engineering Operating Systems Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) |
| ISBN | 3-540-30141-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Secure Grid Computing with Trusted Resources and Internet Datamining -- Session 1: Grid Computing -- Session 2: Peer-to-Peer Computing -- Session 3: Web Techniques -- Session 4: Cluster Computing -- Session 5: Parallel Programming and Environment -- Session 6: Network Architecture -- Session 7: Network Security -- Session 8: Network Storage -- Session 9: Multimedia Service -- Workshop1: Building Intelligent Sensor Networks -- Workshop2: Multimedia Modeling and the Security in the Next Generation Network Information Systems. |
| Record Nr. | UNINA-9910144151103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2004 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Ophthalmic Medical Image Analysis : 11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings / / edited by Antony Bhavna, Hao Chen, Huihui Fang, Huazhu Fu, Cecilia S. Lee
| Ophthalmic Medical Image Analysis : 11th International Workshop, OMIA 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings / / edited by Antony Bhavna, Hao Chen, Huihui Fang, Huazhu Fu, Cecilia S. Lee |
| Autore | Bhavna Antony |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (178 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
ChenHao
FangHuihui FuHuazhu LeeCecilia S |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Artificial intelligence Pattern recognition systems Computer networks Computer Vision Artificial Intelligence Automated Pattern Recognition Computer Communication Networks |
| ISBN | 3-031-73119-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Selective Functional Connectivity between Ocular Dominance Columns in the Primary Visual Cortex -- ETSCL: An Evidence Theory-Based Supervised Contrastive Learning Framework for Multi-modal Glaucoma Grading -- VNR-AV: Structural Post-processing for Retinal Arteries and Veins Segmentation -- Wavelet Deep Learning Network for Objective Retinal Functional Estimation from Multimodal Retinal Imaging -- Inter-Frame Sclera Vessel Rotation Tracking for Toric Intraocular Lens Implantation Navigation -- Data Heterogeneity-aware Personalized Federated Learning for Diagnosis -- MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation -- Coral-CVDs: A consistent ordinal regression model for cardiovascular diseases grading -- Affordable Deep Learning for Diagnosing Inherited and Common Retinal Diseases via Color Fundus Photography -- Comparative Analysis of Data Augmentation for Retinal OCT Biomarker Segmentation -- Advanced Diabetic Retinopathy Classification: Integrating Pathological Indicators Segmentation and Morphological Feature Analysis -- Masked Image Modelling for Retinal OCT Understanding -- A Dual-Stream Network for Langerhans’ Cells Segmentation in CCM Images -- Formula-Driven Data Augmentation and Partial Retinal Layer Copying for Retinal Layer Segmentation -- Enhancing Community Vision Screening: AI-Driven Retinal Photography for Early Disease Detection and Patient Trust -- Enhancing Large Foundation Models to Identify Fundus Diseases Based on Contrastive Enhanced Low-Rank Adaptation Prompt. |
| Record Nr. | UNINA-9910983306303321 |
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Bhavna Antony
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems : Volume V / / edited by Aimin Sha, Hao Chen, Baoquan Wei, Wenhao Xie, Songsong Chen, Dongyang Sun
| The Proceedings of 2024 International Conference of Electrical, Electronic and Networked Energy Systems : Volume V / / edited by Aimin Sha, Hao Chen, Baoquan Wei, Wenhao Xie, Songsong Chen, Dongyang Sun |
| Autore | Sha Aimin |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (888 pages) |
| Disciplina | 621.31 |
| Altri autori (Persone) |
ChenHao
WeiBaoquan XieWenhao ChenSongsong SunDongyang |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electric power production
Electronics Electronic circuits Electrical Power Engineering Electronics and Microelectronics, Instrumentation Electronic Circuits and Systems |
| ISBN |
9789819618521
9819618525 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis of the Arc Ablation Resistance Characteristics of Electrode Blocks in Arcing Devices -- Research Progress and Analysis of Launch Rail Damage under High-Current Ultra-High-Speed Sliding Electrical Contact -- FDS-based simulation temperature distribution and Hcl diffusion induced by tunnel cable fire -- Research on Intelligent Sensing and Control Technology of Low-voltage Distributed Photovoltaic. |
| Record Nr. | UNINA-9910983069203321 |
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Sha Aimin
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Trustworthy Artificial Intelligence for Healthcare : Second International Workshop, TAI4H 2024, Jeju, South Korea, August 4, 2024, Proceedings / / edited by Hao Chen, Yuyin Zhou, Daguang Xu, Varut Vince Vardhanabhuti
| Trustworthy Artificial Intelligence for Healthcare : Second International Workshop, TAI4H 2024, Jeju, South Korea, August 4, 2024, Proceedings / / edited by Hao Chen, Yuyin Zhou, Daguang Xu, Varut Vince Vardhanabhuti |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (180 pages) |
| Disciplina | 610.285 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Machine learning
Image processing - Digital techniques Computer vision Machine Learning Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-67751-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- AI Trustworthy Challenges in Drug Discovery -- 1 Introduction -- 2 Fundamentals -- 3 Methodology -- 4 Experimental Result on Four Dimensions -- 4.1 Fairness -- 4.2 Robustness -- 4.3 Privacy -- 4.4 Explainability -- 5 Enhancement and Future Work -- 6 Conclusion -- References -- ODR3DNet: Omni-Dimension Dynamic Residual 3D Net for Pulmonary Nodule Detection -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Encoder-Decoder Structure -- 3.2 OD3D-Based Feature Extraction Module -- 3.3 Classification Module -- 3.4 Loss Functions -- 4 Experiments -- 4.1 Dataset -- 4.2 Experimental Setting -- 4.3 Comparative Experiment and Analysis -- 4.4 Ablation Experiment and Analysis -- 5 Conclusion -- References -- Knowledge Injected Multimodal Irregular EHRs Model for Medical Prediction -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Problem Setup -- 3.2 Domain Knowledge Injection -- 3.3 In-memory Knowledge Injection -- 3.4 Cross Modal Fusion -- 3.5 Clinical Prediction -- 4 Experiments -- 4.1 Experiment Setup -- 5 Results -- 6 Conclusion -- References -- FusionINN: Decomposable Image Fusion for Brain Tumor Monitoring -- 1 Introduction -- 2 Method -- 2.1 INN-Based Decomposable Image Fusion -- 2.2 INN Architecture -- 2.3 Unsupervised Learning -- 3 Results and Discussion -- 4 Conclusion -- References -- Stochastic Featurization for Active Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Problem Definition -- 3.2 Stochastic Featurization for AL -- 3.3 SFAL for Downstream Tasks -- 4 Experimental Setup -- 4.1 Datasets -- 4.2 Baselines -- 4.3 Evaluation Measures -- 4.4 Settings -- 5 Results and Discussion -- 5.1 Text Classification -- 5.2 NER -- 6 Conclusion -- References -- Human-in-the-Loop Chest X-Ray Diagnosis: Enhancing Large Multimodal Models with Eye Fixation Inputs.
1 Introduction -- 2 Method -- 2.1 Tasks -- 2.2 Eye Fixation Dataset -- 2.3 Prompt -- 2.4 Baseline Models -- 2.5 Evaluation -- 2.6 Training -- 3 Results and Discussion -- 3.1 Fixation Prompts Evaluation -- 3.2 Finetuned Model Evaluation -- 3.3 Most Common Response Analysis -- 4 Conclusion -- References -- Exploring Vision Language Pretraining with Knowledge Enhancement via Large Language Model -- 1 Introduction -- 2 Related Work -- 2.1 Medical Vision-Language Pre-training (MVLP) -- 2.2 Medical Knowledge Enhancement -- 3 Methodology -- 3.1 Triplet Extraction -- 3.2 Architecture -- 3.3 Knowledge-Enhanced Triplet Encoding with MedPALM 2 -- 3.4 Fusion Module -- 4 Experiment -- 4.1 Datasets -- 4.2 Implementation -- 4.3 Comparison with State-of-the-Art Methods -- 5 Ablation Study -- 6 Conclusion -- References -- Evaluating How Explainable AI Is Perceived in the Medical Domain: A Human-Centered Quantitative Study of XAI in Chest X-Ray Diagnostics -- 1 Introduction -- 2 Related Work -- 3 User Study Design and Methodology -- 3.1 XAI Methods -- 3.2 Pre-study Design and Participant Recruitment -- 3.3 Study Components -- 3.4 Hypotheses -- 3.5 User Study Scenario -- 4 Analysis and Results -- 4.1 Predictive and XAI Model Setup -- 4.2 User Study Evaluation Analysis -- 5 Conclusion -- A Appendix -- References -- SnapSeg: Training-Free Few-Shot Medical Image Segmentation with Segment Anything Model -- 1 Introduction -- 2 Related Work -- 2.1 Few-Shot Learning -- 2.2 Few-Shot Semantic Segmentation -- 2.3 Medical Image Few-Shot Segmentation -- 3 Methodology -- 3.1 Problem Definition -- 3.2 Revisiting of Segment Anything Model -- 3.3 Overall Framework -- 3.4 Object Proposal Set and Multi-level Features Generator -- 3.5 Multi-level Similarity Analyser -- 3.6 Dual Perspective Predictor -- 4 Experiments -- 4.1 Dataset and Pre-processing -- 4.2 Evaluation. 4.3 Implementation Details -- 4.4 Quantitative and Qualitative Results -- 4.5 Ablation Study -- 5 Conclusion -- References -- Assessing the Generalizability of Cancer Prognosis Models: Breast and Colon Cancer Case Studies -- 1 Introduction -- 2 Literature Review on the Generalizability of Machine Learning Models -- 3 Experimental Setup -- 3.1 Algorithms -- 3.2 Datasets -- 4 Empirical Comparison -- 4.1 Data Preprocessing -- 4.2 Hyperparameter Tuning -- 4.3 Results and Analysis -- 5 Conclusions -- References -- SISU: A Holistic Self-training Framework on Semi-supervised White Blood Cell Segmentation -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Stage 1: Feature Perturbed Cross-View Co-training Scheme -- 3.2 Stage 2: Weak-to-Strong Consistency Self-training -- 3.3 Stage 3: All Samples Supervised Re-training -- 4 Experiments -- 4.1 Dataset -- 4.2 Settings -- 5 Results -- 5.1 Performance Comparison Between SISU and Other Approaches -- 5.2 Performance on the Supervised Training Phase with the Incorporation of FixMatch -- 5.3 Qualitative Results of Prediction Masks from Proposed Method -- 6 Conclusion -- References -- Optimizing Foundation Models for Histopathology: A Continual Learning Approach to Cancer Detection -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset Description -- 2.2 Data Preprocessing -- 2.3 Model Training and Evaluation -- 3 Experimental Setup -- 3.1 Hardware Configuration -- 3.2 Software Configuration -- 3.3 Foundation Model Architecture -- 3.4 Rationale for Selecting EfficientNet B0 -- 3.5 Training Protocols -- 4 Experiments and Results -- 4.1 Experiment 1: Baseline Training -- 4.2 Experiment 2: Incremental Training with Varying Number of Layers -- 4.3 Experiment 3: Trade-Off Between Accuracy Improvement and Training Time -- 5 Discussion -- References. RF-Lung-DR: Integrating Biological and Drug SMILES Features in a Random Forest-Based Drug Response Predictor for Lung Cancer Cell Lines -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Collection and Processing -- 2.2 Model Constructing -- 2.3 Evaluation Metrics -- 3 Results -- 3.1 Random Forest as the Most Effective Algorithm for DRP in Lung Cancer Cell Lines -- 3.2 Application of Feature Selection Techniques to Enhance RF-Lung-DR Performance -- 3.3 Effectiveness of Drug SMILES Features on DRP Model Performance -- 3.4 Identifying Key Biological Features in the DRP Model for Clinical Applications in Lung Cancer Cell Lines -- 4 Discussions -- 4.1 Clinical Implications of RF-Lung-DR for Enhancing Personalized Medicine in Lung Cancer Treatment -- 4.2 Future Directions of DRP Model to Aid Cancer Treatment -- 4.3 Limitations of This Study -- 5 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910878991403321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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