The three-volume proceedings set LNCS 14997-14999 constitutes the refereed proceedings of the 18th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2024, held in Qindao, China, during June 21-23, 2024. The 98 full papers and 10 short papers included in these proceedings were carefully reviewed and selected from 301 submissions. They focus on cutting-edge ideas, research findings, and innovative solutions in the dynamic intersection of wireless technologies and artificial intelligence (AI) computing systems.
The three-volume proceedings set LNCS 14997-14999 constitutes the refereed proceedings of the 18th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2024, held in Qindao, China, during June 21-23, 2024.
The 98 full papers and 10 short papers included in these proceedings were carefully reviewed and selected from 301 submissions. They focus on cutting-edge ideas, research findings, and innovative solutions in the dynamic intersection of wireless technologies and artificial intelligence (AI) computing systems.
Die Herstellerinformationen sind derzeit nicht verfügbar.
Inhaltsangabe
.- Efficient Online Path Selection and Workload Allocation for In-network Computing in MEC. .- CO-LEACH: Cooperative Data Collection Protocol for Data Heterogeneous WSNs. .- Profinder: Towards Professionals Recognition on Mobile Devices for Users with Cognitive Decline. .- Truthful Double Auction-Based Resource Allocation Mechanisms for Latency-Sensitive Applications in Edge Clouds. .- V2ICooper: Toward Vehicle-to-Infrastructure Cooperative Perception with Spatiotemporal Asynchronous Fusion. .- Recommendation-Aware Collaborative Edge Caching Strategy in the Internet of Vehicles. .- Towards Robust Internet of Vehicles Security: An Edge Node-Based Machine Learning Framework for Attack Classification. .- Device-edge-cloud Collaborative Video Stream Processing and Scheduling Strategy Based on Deep Reinforcement Learning. .- Consistent Low-latency Scheduling for Microsecond-Scale Tasks in Data Centers. .- Multi-scale Data Reconstruction Based Policy Optimization Algorithm for Skill Learning. .- Joint Optimization Design of Intelligence Reflecting Surface Assisted MU-MISO System Based on Deep Reinforcement Learning. .- Secure Motion Verification for High Altitude Platforms with a Hybrid AOA-TDOA-FDOA Scheme. .- Variational Autoencoder based Automatic Clustering for Multivariate Time Series Anomaly Detection. .- Deep Reinforcement Learning based Economic Dispatch with Cost Constraint in Cyber Physical Energy System. .- InceptionNeXt Network with Relative Position Information for Microexpression Recognition. .- AdMarks: Image Steganography Based on Adversarial Perturbation. .- A Review on Binary Code Analysis Datasets. .- Low-cost Robot Path Planning Mechanism for Escaping from Dead Ends. .- Towards Communication-Efficient Collaborative Perception: Harnessing Channel-Spatial Attention and Knowledge Distillation. .- Improving Anomaly Scene Recognition with Large Vision-Language Models. .- ReSU-Net: State Space Model for 3D Abdominal Multi-organ Segmentation. .- Autocue: Targeted Textual Adversarial Attacks with Adversarial Prompts. .- Universal Sign Language Recognition System Using Gesture Description Generation and Large Language Model. .- A High-precision Generality Method for Chinese Nested Named Entity Recognition. .- Tree of Thought Prompt in Robotic Arm Control.
.- Efficient Online Path Selection and Workload Allocation for In-network Computing in MEC. .- CO-LEACH: Cooperative Data Collection Protocol for Data Heterogeneous WSNs. .- Profinder: Towards Professionals Recognition on Mobile Devices for Users with Cognitive Decline. .- Truthful Double Auction-Based Resource Allocation Mechanisms for Latency-Sensitive Applications in Edge Clouds. .- V2ICooper: Toward Vehicle-to-Infrastructure Cooperative Perception with Spatiotemporal Asynchronous Fusion. .- Recommendation-Aware Collaborative Edge Caching Strategy in the Internet of Vehicles. .- Towards Robust Internet of Vehicles Security: An Edge Node-Based Machine Learning Framework for Attack Classification. .- Device-edge-cloud Collaborative Video Stream Processing and Scheduling Strategy Based on Deep Reinforcement Learning. .- Consistent Low-latency Scheduling for Microsecond-Scale Tasks in Data Centers. .- Multi-scale Data Reconstruction Based Policy Optimization Algorithm for Skill Learning. .- Joint Optimization Design of Intelligence Reflecting Surface Assisted MU-MISO System Based on Deep Reinforcement Learning. .- Secure Motion Verification for High Altitude Platforms with a Hybrid AOA-TDOA-FDOA Scheme. .- Variational Autoencoder based Automatic Clustering for Multivariate Time Series Anomaly Detection. .- Deep Reinforcement Learning based Economic Dispatch with Cost Constraint in Cyber Physical Energy System. .- InceptionNeXt Network with Relative Position Information for Microexpression Recognition. .- AdMarks: Image Steganography Based on Adversarial Perturbation. .- A Review on Binary Code Analysis Datasets. .- Low-cost Robot Path Planning Mechanism for Escaping from Dead Ends. .- Towards Communication-Efficient Collaborative Perception: Harnessing Channel-Spatial Attention and Knowledge Distillation. .- Improving Anomaly Scene Recognition with Large Vision-Language Models. .- ReSU-Net: State Space Model for 3D Abdominal Multi-organ Segmentation. .- Autocue: Targeted Textual Adversarial Attacks with Adversarial Prompts. .- Universal Sign Language Recognition System Using Gesture Description Generation and Large Language Model. .- A High-precision Generality Method for Chinese Nested Named Entity Recognition. .- Tree of Thought Prompt in Robotic Arm Control.
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826
