1.

Record Nr.

UNINA9910626013403321

Titolo

Advanced Satellite Multimedia Systems Conference and the ... Signal Processing for Space Communications Workshop

Pubbl/distr/stampa

[Piscataway, NJ] : , : [IEEE]

ISSN

2326-5949

Disciplina

629

Soggetti

Artificial satellites

Signal processing

Periodicals.

Conference papers and proceedings.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Periodico

2.

Record Nr.

UNINA9910137127303321

Titolo

2016 Compound Semiconductor Week (CSW) [Includes 28th International Conference on Indium Phosphide & Related Materials (IPRM) & 43rd International Symposium on Compound Semiconductors (ISCS)] / / Institute of Electrical and Electronics Engineers

Pubbl/distr/stampa

[Piscataway, New Jersey] : , : IEEE, , 2016

ISBN

1-5090-1964-2

Descrizione fisica

1 online resource (349 pages)

Disciplina

621.38152

Soggetti

Compound semiconductors

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Sommario/riassunto

Annotation CSW 2016 will be the premier forum of 2016 for science, technology and applications of compound semiconductors, addressing



the physics, science, and applications of III V and II VI compound semiconductors, SiGe, SiC and related alloys, as well as new materials such as complex oxides and two dimensional materials Papers are solicited on all compound semiconductor related topics including (IPRM) Epitaxy, novel materials, and nanostructures, Optoelectronics devices and related technologies, Electron devices and related technologies, (ISCS) Growth and related technologies, Photonic devices, Nanocharacterization and nanostructures, Oxide semiconductors, Organic semiconductors and flexible materials, High frequency and high power devices, Physics, spintronics, and novel device concepts, GaN and related semiconductore, Nanocarbon and novel 2D materials.

3.

Record Nr.

UNINA9910886090903321

Autore

Zhang Wenjie

Titolo

Web and Big Data : 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, August 30 – September 1, 2024, Proceedings, Part IV / / edited by Wenjie Zhang, Anthony Tung, Zhonglong Zheng, Zhengyi Yang, Xiaoyang Wang, Hongjie Guo

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024

ISBN

981-9772-41-9

Edizione

[1st ed. 2024.]

Descrizione fisica

1 online resource (526 pages)

Collana

Lecture Notes in Computer Science, , 1611-3349 ; ; 14964

Altri autori (Persone)

TungAnthony

ZhengZhonglong

YangZhengyi

WangXiaoyang

GuoHongjie

Disciplina

005.7

Soggetti

Big data

Data structures (Computer science)

Information theory

Application software

Image processing - Digital techniques

Computer vision

Data mining

Big Data

Data Structures and Information Theory

Computer and Information Systems Applications

Computer Imaging, Vision, Pattern Recognition and Graphics

Data Mining and Knowledge Discovery



Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

-- Database System and Query Optimization.  -- SAM: A Spatial-aware Learned Index for Disk-Based Multi-dimensional Search.  -- BIVXDB: A Bottom Information Invert Index to Speed up the Query Performance of LSM-tree.  -- Dual-contrastive multi-view clustering under the guidance of global similarity and pseudo-label.  -- A Powerful Local Search Method for Minimum Steiner Tree Problem.  -- Federated and Privacy-Preserving Learning.  -- FedOCD: A One-Shot Federated Framework for Heterogeneous Cross-Domain Recommendation.  -- Efficient Updateable Private Set Intersection on Outsourced Datasets.  -- Client Evaluation and Revision in Federated Learning: Towards Defending Free-Riders and Promoting Fairness.  -- A Secure Dynamic Incentive Scheme for Federated Learning.  -- A Data Synthesis Approach Based on Local Differential Privacy.  -- Byzantine-Robust Aggregation for Federated Learning with Reinforcement Learning.  -- Differential Privacy with Data Removal for Online Happiness Assessment.  -- EPCQ: Efficient Privacy-preserving Contact Query Processing over Trajectory Data in Cloud.  -- Parallel Secure Inference for Multiple Models based on CKKS.  -- PrivRBFN: Building Privacy-Preserving Radial Basis Function Networks Based on Federated Learning.  -- Robust Federated Learning with Realistic Corruption.  -- Network, Blockchain and Edge computing.  -- BTQoS: A Tenant Relationship-Aware QoS Framework for Multi-Tenant Distributed Storage System.  -- ACMDS: An Anonymous Collaborative Medical Data Sharing Scheme Based on Blockchain.  -- MTEC: A Multi-tier Blockchain Storage Framework using Erasure Coding for IoT Application.  -- Maintaining Data Freshness in Multi-channel Multi-hop Wireless Networks.  -- Proof of Run: A Fair and Sustainable Blockchain Consensus Protocol based on Game Theory in DApps.  -- KTSketch: Finding k-persistent t-spread Flows in High-speed Networks.  -- A Multi-agent Service Migration Algorithm for Mobile Edge Computing with Diversified Services.  -- Dynamic Computation Scheduling for Hybrid Energy Mobile Edge Computing Networks.  -- Anomaly Detection and Security.  -- Malicious Attack Detection Method for Recommendation Systems Based on Meta-pseudo Labels and Dynamic Features.  -- Detecting Camouflaged Social Bots through Multi-level Aggregation and Information Encoding.  -- Deep Sarcasm Detection with Sememe and Syntax Knowledge.  -- Enhancing Few-Shot Multi-Modal Fake News Detection through Adaptive Fusion.  -- AGAE: Unsupervised Anomaly Detection for Encrypted Malicious Traffic.  -- ColBetect: A Contrastive Learning Framework Featuring Dual Negative Samples for Anomaly Behavior Detection.  -- Magnitude-Contrastive Network for Unsupervised Graph Anomaly Detection.  -- Substructure-Guided Graph-level Anomaly with Attention-Aware Aggregation.

Sommario/riassunto

The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed conference proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024. The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions. The papers are organized in the following topical sections: Volume I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System.



Volume II: Recommender System, Knowledge Graph and Spatial and Temporal Data. Volume III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization. Volume IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security Volume V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.