Prosjekter
Publikasjoner
-
Vitenskapelig kapittelTowards a privacy-preserving distributed cloud service for preprocessing very large medical images– 2023
-
Vitenskapelig kapittelA Control Volume Material Balance Approach and Its Applications to Real-Time Flow Diagnostics– 2023
-
Vitenskapelig artikkelSolving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural Networks– Proceedings of the Northern Lights Deep Learning Workshop 2023
-
Vitenskapelig artikkelPrivacy-Preserving Split Learning for Large-Scaled Vision Pre-Training– IEEE Transactions on Information Forensics and Security 2023
-
Vitenskapelig oversiktsartikkelReview of Different Methods for Identification of Transients in Pressure Measurements by Permanent Downhole Gauges Installed in Wells– Energies 2023
-
Vitenskapelig artikkelTime Controlled Expressive Predicate Query With Accountable Anonymity– IEEE Transactions on Services Computing 2023
-
Vitenskapelig artikkelNewbornTime - improved newborn care based on video and artificial intelligence - study protocol– BMC Digital Health 2023
-
Vitenskapelig artikkelImproved Gradient Inversion Attacks and Defenses in Federated Learning– IEEE Transactions on Big Data 2023
-
Vitenskapelig artikkelNttpFL: Privacy-Preserving Oriented No Trusted Third Party Federated Learning System Based on Blockchain– IEEE Transactions on Network and Service Management 2022
-
Vitenskapelig kapittelAnomaly Detection in Smart Meter Data for Preventing Potential Smart Grid Imbalance– 2022
-
Vitenskapelig kapittelBlockchain Empowered and Self-sovereign Access Control System– 2022
-
Vitenskapelig kapittelBlockchain-based Cross-organizational Workflow Platform– 2022
-
Vitenskapelig kapittelNFT as a proof of digital ownership-reward system integrated to a secure distributed computing blockchain framework– 2022
-
Vitenskapelig kapittelManaging Digital Objects with Decentralised Identifiers based on NFT-like schema– 2022
-
KonferanseforedragTowards general deep leakage in federated learning– International Workshop on Trustable, Verifiable and Auditable Federated Learning in Conjunction with AAAI 2022 (FL-AAAI-22) 2022
-
KonferanseforedragFederated Knowledge Cloud for Energy AI by the National Centre NCS2030 of Norway– The November Conference - Brazil and Norway 2022
-
Vitenskapelig kapittelTOTEM SDK : an open toolset for token controlled computation managed by blockchain– 2022
-
Vitenskapelig kapittelQuantifying the effect of color processing on blood and damaged tissue detection in Whole Slide Images– 2022
-
Vitenskapelig artikkelGreen communication approach for the smart city using renewable energy systems– Energy Reports 2022
-
Vitenskapelig artikkelOpenIaC: open infrastructure as code - the network is my computer– The Journal of Cloud Computing: Advances, Systems and Applications (JoCCASA) 2022
-
Vitenskapelig artikkelIntegrating big data and blockchain to manage energy smart grids—TOTEM framework– Blockchain: Research and Applications 2022
-
Vitenskapelig artikkelSecurity Analysis and Improvement of a Redactable Consortium Blockchain for Industrial Internet-of-Things– Computer journal 2021
-
Vitenskapelig artikkelDual Traceable Distributed Attribute-Based Searchable Encryption and Ownership Transfer– IEEE Transactions on Cloud Computing 2021
-
Vitenskapelig artikkelDBFT: A Byzantine Fault Tolerance Protocol with Graceful Performance Degradation– IEEE Transactions on Dependable and Secure Computing 2021
-
Vitenskapelig artikkelA Survey of Decentralizing Applications via Blockchain: The 5G and Beyond Perspective– IEEE Communications Surveys and Tutorials 2021
-
AviskronikkUser controlled, decentralized, distributed, and secure content distribution– US Patent 2021
-
AviskronikkMethod for Analyzing Data Using a Blockchain, a Data Provider and a Data Customer Therefor– US Patent 2021
-
Vitenskapelig artikkelBlockchain-based prosumer incentivization for peak mitigation through temporal aggregation and contextual clustering– Blockchain: Research and Applications 2021
-
Vitenskapelig artikkelBlockchain Based Transaction System with Fungible and Non-Fungible Tokens for a Community-Based Energy Infrastructure– Sensors 2021
-
Vitenskapelig kapittelDID-eFed : Facilitating federated learning as a service with decentralized identities– 2021
-
Vitenskapelig artikkelJoint computation offloading and deployment optimization in multi-UAV-enabled MEC systems– Peer-to-Peer Networking and Applications 2021
-
Vitenskapelig artikkelAn Ensemble Approach for Multi-Step Ahead Energy Forecasting of Household Communities– IEEE Access 2021
-
Vitenskapelig artikkelContractguard: Defend ethereum smart contract with embedded intrusion detection– Chinese Journal of Network and Information Security 2020
-
Vitenskapelig kapittelA Trustworthy Blockchain-based DecentralisedResource Management System in the Cloud– 2020
-
Vitenskapelig artikkelEnhanced Semantic-Aware Multi-Keyword Ranked Search Scheme Over Encrypted Cloud Data– IEEE Transactions on Cloud Computing 2020
-
Vitenskapelig kapittelImproving Load Forecast Accuracy of Households Using Load Disaggregation Techniques– 2020
-
Vitenskapelig artikkelBlockchain based Power Transaction Asynchronous Settlement System– IEEE Vehicular Technology Conference (VTC) 2020
-
Vitenskapelig kapittelA blockchain-based distributed controllable electricity transaction match system– 2020
-
Vitenskapelig kapittelDistributed computational framework in TOTEM architecture enabled by blockchain– 2020
-
Vitenskapelig kapittelDistributed multi-factor electricity transaction match mechanism based on blockchain– 2020
-
Vitenskapelig artikkelIntroducing a New Toolbox for Theory of Connection– International Journal of Simulation. Systems, Science and Technology 2020
-
Vitenskapelig kapittelHousehold energy consumption prediction using evolutionary ensemble neural network– 2020
-
Vitenskapelig kapittelDeep Learning for Short-Term Energy Load Forecasting Using Influential Factors– 2020
-
Vitenskapelig kapittelEquipment Life Cycle Management Based on Private Blockchain and Smart Contract– 2020
-
Vitenskapelig kapittelMethod to Solve a Privacy and Security Issue in Cloud for Energy Informatics– 2020
-
Vitenskapelig artikkelQHSE : An efficient privacy-preserving scheme for blockchain-based transactions– Future generations computer systems 2020
-
Vitenskapelig artikkelRenewLedger : Renewable energy management powered by Hyperledger Fabric– Proceedings of the IEEE Symposium on Computers and Communications 2020
-
Vitenskapelig kapittelDistributed Fog Computing Architecture for Real-Time Anomaly Detection in Smart Meter Data– 2020
-
Vitenskapelig artikkelAdaptive Resource Allocation and Consolidation for Scientific Workflow Scheduling in Multi-Cloud Environments– IEEE Access 2020
-
Vitenskapelig artikkelResource Allocation for Cloud-Based Software Services Using Prediction-Enabled Feedback Control With Reinforcement Learning– IEEE Transactions on Cloud Computing 2020
-
Vitenskapelig artikkelPrivacy-Preserving Medical Treatment System Through Nondeterministic Finite Automata– IEEE Transactions on Cloud Computing 2020
-
Vitenskapelig artikkelFog Computing for Realizing Smart Neighborhoods in Smart Grids– Computers 2020
-
Vitenskapelig artikkelSecure data transportation with software-defined networking and k-n secret sharing for high-confidence IoT services– IEEE Internet of Things Journal 2020
-
Faglig kapittelUtilization of Big Data in Energy Internet Infrastructure– 2020
-
Faglig kapittelArtificial Intelligence Models Used for Prediction in the Energy Internet– 2020
-
Vitenskapelig artikkelPSO-GA-Based Resource Allocation Strategy for Cloud-Based Software Services with Workload-Time Windows– IEEE Access 2020
-
Vitenskapelig artikkelShort-Term Load Forecasting Using Smart Meter Data: A Generalization Analysis– Processes 2020
-
Vitenskapelig artikkelTriangulum City Dashboard: An Interactive Data Analytic Platform for Visualizing Smart City Performance– Processes 2020
-
Vitenskapelig artikkelDBFT: A Byzantine Fault Tolerant Protocol with Graceful Performance Degradation– Symposium on Reliable Distributed Systems. Proceedings 2019
-
Vitenskapelig kapittelCloud Computing: History and Overview– 2019
-
Vitenskapelig kapittelTOTEM : Token for controlled computation: Integrating Blockchain with Big Data– 2019
-
Vitenskapelig kapittelTransactive Energy on Hyperledger Fabric– 2019
-
Vitenskapelig kapittelSolving Scheduling Problems with Randomized and Parallelized Brute-Force Approach– 2019
-
Vitenskapelig kapittelA Cost-efficient Protocol for Open Blockchains– 2019
-
Vitenskapelig oversiktsartikkelA widespread review of smart grids towards smart cities– Energies 2019
-
Vitenskapelig kapittelNeural Network Frameworks. Comparison on Public Transportation Prediction– 2019
-
Vitenskapelig kapittelNeural Network Architectures for Electricity Consumption Forecasting– 2019
-
Vitenskapelig artikkelFinding the Pivotal Elements for Modularization of Petri Nets– International Conference on Advanced Mechatronic Systems, ICAMechS 2019
-
KonferanseforedragSolving Scheduling Problems with Randomized and Parallelized Brute-Force Approach– CSIT Conference 2019 2019
-
Vitenskapelig artikkelAdvancing Deep Learning to Improve Upstream Petroleum Monitoring– IEEE Access 2019
-
Vitenskapelig kapittelEvolutionary Ensemble LSTM based Household Peak Demand Prediction– 2019
-
Vitenskapelig artikkelA Comprehensive Survey of Blockchain: from Theory to IoT Applications and Beyond– IEEE Internet of Things Journal 2019
-
Vitenskapelig artikkelHousehold Power Demand Prediction Using Evolutionary Ensemble Neural Network Pool with Multiple Network Structures– Sensors 2019
-
Vitenskapelig kapittelEvaluating Feature Selection Methods for Short-Term Load Forecasting– 2019
-
KonferanseforedragAssessing the importance of energy management in smart homes– 4th International Conference on Viable Energy Trends (InVEnT2019) 2019
-
Vitenskapelig kapittelData Recovery and Security in Cloud– 2018
-
Vitenskapelig artikkelSecure customer data over cloud forensic reconstruction– IEEE International Conference on Consumer Electronics: Digest of Technical Papers (ICCE) 2018
-
KonferanseforedragDeep Learning For Short-Term Energy Load Forecasting Using Influential Factors– The 13th World Congress on Energy Asset Management 2018
-
Vitenskapelig kapittelMeasuring Network Centrality in Petri Nets– 2018
-
Vitenskapelig kapittelHousehold EV Charging Demand Prediction Using Machine and Ensemble Learning– 2018
-
Vitenskapelig kapittelBlocknetwork for Big Information Fusion and NoSQL Knowledgebase Management– 2018
-
Vitenskapelig kapittel‘Firing Sequence’ as a Tool for the Analysis of Petri Nets– 2018
-
KonferanseforedragEquipment Life Cycle Management Based on Private Blockchain and Smart Contract– The 13th World Congress on Engineering Asset Management 2018
-
KonferanseforedragHousehold Energy Consumption Prediction using Evolutionary Ensemble Neural Network– The 13th World Congress on Engineering Asset Management 2018
-
KonferanseforedragHousehold EV Charging Demand Prediction Using Machine and Ensemble Learning– The 2nd IEEE International Conference on Energy Internet (ICEI 2018) 2018
-
Vitenskapelig kapittelEnergy Informatics Applicability; Machine Learning and Deep Learning– 2018
-
Vitenskapelig kapittelEnergy Load Forecasting Using Deep Learning– 2018
-
KonferanseforedragData Services enabled by Blockchain and Distributed Ledger Technologies– Seminar: Research Partnership on High Performance Computing 2018
-
KonferanseforedragEnabling Multilevel Data Sharing Based on Blockchain and Smart Contract– Superdata Summer School 2018
