UB Paderborn / Katalog / Suche / in CDI

Latency-Aware Cache Mechanism for Resolver Service of Domain Name Systems

NOMS 2024-2024 IEEE Network Operations and Management Symposium, 2024, p.1-4

2024

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Resilient Machine Learning for NextG Wireless Systems Under Smart Jamming

ICC 2024 - IEEE International Conference on Communications, 2024, p.2549-2554

2024

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An ML-Accelerated Framework for Large-Scale Constrained Traffic Engineering

2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), 2024, p.47-58

2024

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NestNeuro: Leveraging Chatbots for Vocal Screening

2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS), 2024, p.182-185

2024

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Always-on Personal AI for 6G networks

2024 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2024, p.1-6

2024

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Spiking-UNet: Spiking Neural Networks for Spectrum Occupancy Monitoring

2024 IEEE Wireless Communications and Networking Conference (WCNC), 2024, p.1-6

2024

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On-Sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design

2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024, p.1-6

2024

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Towards Protecting On-Device Machine Learning with RISC-V based Multi-Enclave TEE

2024 33rd International Conference on Computer Communications and Networks (ICCCN), 2024, p.1-6

2024

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Unveiling DRAM Failures Across Different CPU Architectures in Large-Scale Datacenters

2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), 2024, p.1462-1463

2024

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Tree Gradient Coding Considering Communication Delays and Partial Stragglers

ICC 2024 - IEEE International Conference on Communications, 2024, p.1986-1991

2024

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A Novel DA-Based Parallel Architecture for Inner-Product of Variable Vectors

2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024, p.1-5

2024

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Efficient Soft Core Multiplier for Post Quantum Digital Signatures

2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024, p.1-5

2024

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Securing On-Chip Learning: Navigating Vulnerabilities and Potential Safeguards in Spiking Neural Network Architectures

2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024, p.1-5

2024

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12 mJ Per Class On-Device Online Few-Shot Class-Incremental Learning

2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024, p.1-6

2024

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Machine Learning for Cyber-Physical Systems: Selected papers from the International Conference ML4CPS 2023

2024

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Efficient Learning Framework for Failure Identification Model Based on Failure Injection

ICC 2024 - IEEE International Conference on Communications, 2024, p.5232-5237

2024

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A Real-Time Machine Learning Module for Motion Artifact Detection in fNIRS

2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024, p.1-5

2024

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STAR: Sum-Together/Apart Reconfigurable Multipliers for Precision-Scalable ML Workloads

2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024, p.1-6

2024

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Enabling Reusable and Comparable xApps in the Machine Learning-Driven Open RAN

2024 IEEE 25th International Conference on High Performance Switching and Routing (HPSR), 2024, p.37-42

2024

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Constraints Assessment in Implementation of Indonesian Government Enterprise Architecture: A Review

2024 International Conference on Smart Computing, IoT and Machine Learning (SIML), 2024, p.145-149

2024

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Towards Sustainable Architecture: Machine Learning for Predicting Energy Use in Buildings

2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), 2024, p.1-6

2024

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Component-based Approach to Software Engineering of Machine Learning-enabled Systems

2024 IEEE/ACM 3rd International Conference on AI Engineering – Software Engineering for AI (CAIN), 2024, p.250-252

Indykov, Vladislav

2024

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Cambricon-D: Full-Network Differential Acceleration for Diffusion Models

2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA), 2024, p.903-914

2024

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Supporting Architectural Decision Making on Training Strategies in Reinforcement Learning Architectures

2024 IEEE 21st International Conference on Software Architecture (ICSA), 2024, p.90-100

2024

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An Analog Classifier for Liver Disorders based on Centroid Machine Learning Model

2024 13th International Conference on Modern Circuits and Systems Technologies (MOCAST), 2024, p.1-4

2024

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Latency-Aware Cache Mechanism for Resolver Service of Domain Name Systems

Resilient Machine Learning for NextG Wireless Systems Under Smart Jamming

An ML-Accelerated Framework for Large-Scale Constrained Traffic Engineering

NestNeuro: Leveraging Chatbots for Vocal Screening

Always-on Personal AI for 6G networks

Spiking-UNet: Spiking Neural Networks for Spectrum Occupancy Monitoring

On-Sensor Printed Machine Learning Classification via Bespoke ADC and Decision Tree Co-Design

Towards Protecting On-Device Machine Learning with RISC-V based Multi-Enclave TEE

Unveiling DRAM Failures Across Different CPU Architectures in Large-Scale Datacenters

Tree Gradient Coding Considering Communication Delays and Partial Stragglers

A Novel DA-Based Parallel Architecture for Inner-Product of Variable Vectors

Efficient Soft Core Multiplier for Post Quantum Digital Signatures

Securing On-Chip Learning: Navigating Vulnerabilities and Potential Safeguards in Spiking Neural Network Architectures

12 mJ Per Class On-Device Online Few-Shot Class-Incremental Learning

Machine Learning for Cyber-Physical Systems: Selected papers from the International Conference ML4CPS 2023

Efficient Learning Framework for Failure Identification Model Based on Failure Injection

A Real-Time Machine Learning Module for Motion Artifact Detection in fNIRS

STAR: Sum-Together/Apart Reconfigurable Multipliers for Precision-Scalable ML Workloads

Enabling Reusable and Comparable xApps in the Machine Learning-Driven Open RAN

Constraints Assessment in Implementation of Indonesian Government Enterprise Architecture: A Review

Towards Sustainable Architecture: Machine Learning for Predicting Energy Use in Buildings

Component-based Approach to Software Engineering of Machine Learning-enabled Systems

Cambricon-D: Full-Network Differential Acceleration for Diffusion Models

Supporting Architectural Decision Making on Training Strategies in Reinforcement Learning Architectures

An Analog Classifier for Liver Disorders based on Centroid Machine Learning Model

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