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A Reward Modulated Spiked Timing Depended Plasticity inspired algorithm applied on a MultiLayer Perceptron 27

A Reward Modulated Spiked Timing Depended Plasticity inspire...

引用

27th Pan-Hellenic Conference on Progress in Computing and informatics with International Participation, PCI 2023

作者： Giannakas, Georgios Sapounaki, Maria Tsoukas, Vasileios Kakarountas, Athanasios Dpt. of Computer Science and Biomedical Informatics University of Thessaly Lamia Greece

ISBN: (纸本)9798400716263

The creation of a framework in which traditional Machine Learning and neuromorphic algorithms compete to solve a shared Reinforcement Learning environment is presented in this work. In addition, this configuration allows the exploitation of modern and widely-used Machine Learning libraries. The PyTorch framework is used to investigate the expanded capabilities and potential of training an action-critic network pair comprised of specialised units using a custom learning algorithm. The policy and value networks utilised in this context are fully interconnected MultiLayer Perceptrons. The training procedure employs two distinct algorithms: an algorithm inspired by Reward Modulated Spiked Timing Dependent Plasticity and the conventional Back Propagation technique. A comparative evaluation and analysis of the findings is performed. © 2023 Owner/Author.

关键词： Reinforcement learning

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A Review of Homomorphic Encryption and its Contribution to the Sector of Health Services 27

A Review of Homomorphic Encryption and its Contribution to t...

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27th Pan-Hellenic Conference on Progress in Computing and informatics with International Participation, PCI 2023

作者： Roumpies, Fotios Kakarountas, Athanasios Dpt. of Computer Science and Biomedical Informatics University of Thessaly Lamia Greece

ISBN: (纸本)9798400716263

Homomorphic encryption is a groundbreaking cryptographic method that has made giant contributions to healthcare by addressing the urgent need for steady and privacy-keeping information analysis and sharing. This encryption approach permits information to be processed while nonetheless in its encrypted form, permitting healthcare businesses to perform complex computations on confidential patient information without compromising character privacy or data protection. It paved the way for secure cloud-based facts storage, sharing, and collaborative healthcare research, facilitating advancements in fact-driven selection-making, customized medicinal drugs, and remote affected person tracking. Homomorphic encryption has emerged as a vital enabler of innovation by maintaining the confidentiality of affected personal information while enabling meaningful analysis. © 2023 Owner/Author.

关键词： Data privacy

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Smart Delivery for Goods Exploiting ML Algorithms 26

Smart Delivery for Goods Exploiting ML Algorithms

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26th Pan-Hellenic Conference on informatics, PCI 2022

作者： Boumpa, Eleni Tsoukas, Vasileios Chioktour, Vasileios Kalafati, Maria Spathoulas, Georgios Kakarountas, Athanasios Dpt. of Computer Science and Biomedical Informatics University of Thessaly Lamia Greece

ISBN: (纸本)9781450398541

This paper presents the work conducted on providing an efficient solution to the Vehicle Routing Problem considering all stages of a delivery process. The results are promising when compared to real-life data and depict the benefits of the application of ML algorithms in all stages of the process. A platform capable to monitor the various stages of the process was developed, and a number of ML models were incorporated to provide the best solution to a multiobjective problem. The results indicate on average a maximum of 25% distance saving, and a maximum of 14% regarding the total delivery time. © 2022 ACM.

关键词： Fleet operations

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PaperMill Detection in Scientific Content 18

PaperMill Detection in Scientific Content

引用

18th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2023

作者： Razis, Gerasimos Anagnostopoulos, Konstantinos Metaxas, Omiros Stefanidis, Stefanos-Dimitrios Zhou, Hong Anagnostopoulos, Ioannis LLC Atypon Systems CA United States University of Thessaly Computer Science and Biomedical Informatics Dpt. Lamia Greece

ISBN: (纸本)9798350327717

Researchers often come under pressure when facing the ever-increasing demand to produce a progressive number of publications, resorting to hiring the services of paper mills. These are unofficial, and often illegitimate, organizations providing ready-made questionable research components and services, posing a threat to the research integrity, scientific ecosystem, and publishers. Identifying paper mill material is a challenging and laborious process, while the increasing number of Artificial Intelligence services generating human-like text obstructs this process. The purpose of this paper is to contribute to the research integrity domain by proposing the PaperMill Detection manuscript screening framework. By leveraging contextual signals, it measures the probability of a document being the result of a paper mill organization or generated by Artificial Intelligence. The combination of these signals can facilitate the detection of questionable scientific content. Our evaluation has revealed that the proposed approach outperforms other open-source and commercial solutions in all examined evaluation metrics, achieving an F1 score of 0.97. © 2023 IEEE.

关键词： Artificial intelligence

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A Reward Modulated Spiked Timing Depended Plasticity inspired algorithm applied on a MultiLayer Perceptron 23

A Reward Modulated Spiked Timing Depended Plasticity inspire...

引用

Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and informatics

作者： Georgios Giannakas Maria Sapounaki Vasileios Tsoukas Athanasios Kakarountas Dpt. of Computer Science and Biomedical Informatics University of Thessaly Greece

ISBN: (纸本)9798400716263

关键词： Agent Bio & Nature Inspired Computing Machine Learning PyTorch Reinforcement Learning Reward Modulated Spiked Timing Depended Plasticity autograd

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A Review of Homomorphic Encryption and its Contribution to the Sector of Health Services 23

A Review of Homomorphic Encryption and its Contribution to t...

引用

Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and informatics

作者： Fotios Roumpies Athanasios Kakarountas Dpt. of Computer Science and Biomedical Informatics University of Thessaly Greece

ISBN: (纸本)9798400716263

关键词： Healthcare Homomorphic Encryption data security digital libraries secure data sharing

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Prototype Haptic Feedback Device for Robot-Assisted Minimally Invasive Surgery 6

Prototype Haptic Feedback Device for Robot-Assisted Minimall...

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6th South-East Europe Design Automation, computer Engineering, computer Networks and Social Media Conference, SEEDA-CECNSM 2021

作者： Zagori, Sofia I. Kakarountas, Athanasios P. Dpt. of Computer Science and Biomedical Informatics University of Thessaly Lamia Greece

ISBN: (纸本)9781665427425

Robot-Assisted Minimally Invasive Surgery (RAMIS) is an innovation that has benefited hundreds of thousands of patients to date. However, despite their many advantages, those robots are not as popular as expected. Many health professionals are hesitant to use them since they don't provide as much feedback as to their human senses. Haptic feedback is crucial for the smooth conduction of the operation. Our goal was to develop a low-cost sensing system for surgical robots, which will add to their attraction and make them more appealing to surgeons and patients. © 2021 IEEE

关键词： Feedback

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PaperMill Detection in Scientific Content

PaperMill Detection in Scientific Content

引用

International Workshop on Semantic Media Adaptation and Personalization (SMAP)

作者： Gerasimos Razis Konstantinos Anagnostopoulos Omiros Metaxas Stefanos-Dimitrios Stefanidis Hong Zhou Ioannis Anagnostopoulos Atypon Systems LLC California United States Computer Science and Biomedical Informatics Dpt. University of Thessaly Lamia Greece

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Low-Power Electroencephalographic Data Encoding System for Implantable Brain Stimulation Systems 6

Low-Power Electroencephalographic Data Encoding System for I...

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6th South-East Europe Design Automation, computer Engineering, computer Networks and Social Media Conference, SEEDA-CECNSM 2021

作者： Fragkou, Aikaterini A. Kakarountas, Athanasios P. Kokkinos, Vasileios Dpt. of Computer Science and Biomedical Informatics University of Thessaly Lamia Greece Dpt. of Neurosurgery Massachusetts General Hospital Harvard Medical School MA United States

ISBN: (纸本)9781665427425

This paper studies the Delta encoding scheme and its effect on power dissipation, for wireless transmission from implantable devices. The study was performed on data from electroencephalographic signals. For the implementation of the proposed system, the design approach followed three phases. The first design phase is related to the initial modelling. The second phase included the development of the hardware description code for the proposed system. The third and last phase is related to the evaluation of the transmitted signal and the measurement of the power dissipation. The results showed that up to 23% power savings are possible for a negligible power penalty due to the delta encoding process. © 2021 IEEE

关键词： Signal encoding

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A Generalized Tonic-Clonic Seizure Detection Method in a Bathtub using a Natural Language Verification Step 24

A Generalized Tonic-Clonic Seizure Detection Method in a Bat...

引用

24th Pan-Hellenic Conference on informatics, PCI 2020

作者： Petroulaki, Olga Bicaku, Angeliki Kakarountas, Athanasios University of Thessaly Dpt. of Computer Science and Biomedical Informatics Lamia Greece

ISBN: (纸本)9781450388979

A Generalized Tonic-Clonic Seizure Detection Method in a Bathtub is proposed in this work, targeting mainly epileptic seizures. The main novelty of the presented methodology is found in the use of natural language Human-computer Interaction, in order to verify the positive detection of such seizure. The proposed system, is a low-cost and low-complexity one, that allows safe operation in an environment with limited access. It overcomes problems presented in related works in the scientific literature and offers a sufficient two-tier verification process, in order to eliminate the false positives. The preliminary results, based on simulation, showed that any incident was successfully detected. To the best of the authors knowledge this is the first time that this methodology is presented, combining smart vibration detection and natural language (NL) recognition to verify/trigger (or not) an alarm of seizure in a bathtub. © 2020 ACM.

关键词： Automation

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