Nikos Temenos

Orcid: 0000-0002-1763-9930

Affiliations:
  • National Technical University of Athens, Greece


According to our database1, Nikos Temenos authored at least 20 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review.
Comput. Biol. Medicine, March, 2024

Zeekflow+: A Deep LSTM Autoencoder with Integrated Random Forest Classifier for Binary and Multi-class Classification in Network Traffic Data.
Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024

Identifying False Negative Flood Events Using Interpretable Deep Learning Framework.
Proceedings of the IGARSS 2024, 2024

A Pre-Training Pruning Strategy for Enabling Lightweight Non-Intrusive Load Monitoring On Edge Devices.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
A Markov Chain Framework for Modeling the Statistical Properties of Stochastic Computing Finite-State Machines.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2023

A Stochastic Computing Sigma-Delta Adder Architecture for Efficient Neural Network Design.
IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP.
IEEE Geosci. Remote. Sens. Lett., 2023

Time-based Memristor Crossbar Array Programming for Stochastic Computing Parallel Sequence Generation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Multi-Spectral Band Selection and Spatial Explanations Using XAI Algorithms in Remote Sensing Applications.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Modeling a Stochastic Computing Nonscaling Adder and its Application in Image Sharpening.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Compact MAX and MIN Stochastic Computing architectures.
Integr., 2022

2021
Stochastic Computing Max & Min Architectures Using Markov Chains: Design, Analysis, and Implementation.
IEEE Trans. Very Large Scale Integr. Syst., 2021

Nonscaling Adders and Subtracters for Stochastic Computing Using Markov Chains.
IEEE Trans. Very Large Scale Integr. Syst., 2021

Building Extraction from RGB Satellite Images using Deep Learning: A U-Net Approach.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

Exploring the Effectiveness of Sigma-Delta Modulators in Stochastic Computing-Based FIR Filtering.
Proceedings of the 10th International Conference on Modern Circuits and Systems Technologies, 2021

2020
Deterministic Finite State Machines for Stochastic Division in Unipolar Format.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019
A New Technique for Stochastic Division in Unipolar Format.
Proceedings of the 8th International Conference on Modern Circuits and Systems Technologies, 2019

2018
Hardware optimization methodology of multi-step look-ahead sigma-delta modulators.
Proceedings of the 7th International Conference on Modern Circuits and Systems Technologies, 2018

An Efficient Hardware Architecture for the Implementation of Multi-Step Look-Ahead Sigma-Delta Modulators.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Comparison of Recently Developed Single-Bit All-Digital Frequency Synthesizers in Terms of Hardware Complexity and Performance.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018


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