14 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Imperial College LondonGB2 papers
- China University of Mining and TechnologyCN1 paper
- Concordia UniversityCA1 paper
- Defence Research and Development CanadaCA1 paper
- Département d'InformatiqueFR1 paper
- École de Technologie SupérieureCA1 paper
- KTH Royal Institute of TechnologySE1 paper
- Middle East Technical UniversityTR1 paper
- Nanyang Technological UniversitySG1 paper
- Sabancı ÜniversitesiTR1 paper
- Sun Yat-sen UniversityCN1 paper
- Université de MontréalCA1 paper
12 papers
Hybrid Energy-Aware Reward Shaping: A Unified Lightweight Physics-Guided Methodology for Policy Optimization
Qijun Liao, Jue Yang, Yiting Kang +3
Deep reinforcement learning for continuous control often suffers from high variance, low energy efficiency, and poor generalization under distribution shift, as purely data-driven…
Energy-Information Trade-Off in Self-Directed Channel Memristors
Waleed El-Geresy, Dániel Hajtó, György Cserey +1
Understanding the nature of information storage on memristors is vital to enable their use in novel data storage and neuromorphic applications. One key consideration in information…
EVMx: An FPGA-Based Smart Contract Processing Unit
Joel Poncha Lemayian, Hachem Bensalem, Ghyslain Gagnon +2
Ethereum blockchain uses smart contracts (SCs) to implement decentralized applications (dApps). SCs are executed by the Ethereum virtual machine (EVM) running within an Ethereum cl…
Joint User Association and Bandwidth Assignment for Digital Twin-Assisted Multi-RAT Networks
Manobendu Sarker, Md. Zoheb Hassan, Georges Kaddoum
In this paper, we investigate user equipment (UE)-radio access technology (RAT) association and bandwidth assignment to maximize sum-rates in a multi-RAT network. To this end, we f…
Causes and Canonicalization of Unreproducible Builds in Java
Aman Sharma, Benoit Baudry, Martin Monperrus
The increasing complexity of software supply chains and the rise of supply chain attacks have elevated concerns around software integrity. Users and stakeholders face significant c…
SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition
Alaa Nfissi, Wassim Bouachir, Nizar Bouguila +1
In the field of human-computer interaction and psychological assessment, speech emotion recognition (SER) plays an important role in deciphering emotional states from speech signal…
Digital Twin Backed Closed-Loops for Energy-Aware and Open RAN-based Fixed Wireless Access Serving Rural Areas
Anselme Ndikumana, Kim Khoa Nguyen, Mohamed Cheriet
Internet access in rural areas should be improved to support digital inclusion and 5G services. Due to the high deployment costs of fiber optics in these areas, Fixed Wireless Acce…
The Modified Toda Hierarchy
Wenjuan Rui, Wenchuang Guan, Yi Yang +1
In this paper, modified Toda (mToda) equation is generalized to form an integrable hierarchy in the framework of Sato theory, which is therefore called mToda hierarchy. Inspired by…
Event-Based Simulation of Stochastic Memristive Devices for Neuromorphic Computing
Waleed El-Geresy, Christos Papavassiliou, Deniz Gündüz
In this paper, we build a general modelling framework for memristors, suitable for the simulation of event-based systems such as hardware spiking neural networks, and more generall…
Asymmetrical estimator for training encapsulated deep photonic neural networks
Yizhi Wang, Minjia Chen, Chunhui Yao +4
Photonic neural networks (PNNs) are fast in-propagation and high bandwidth paradigms that aim to popularize reproducible NN acceleration with higher efficiency and lower cost. Howe…
Characterization of Nearly Self-Orthogonal Quasi-Twisted Codes and Related Quantum Codes
Martianus Frederic Ezerman, Markus Grassl, San Ling +2
Quasi-twisted codes are used here as the classical ingredients in the so-called Construction X for quantum error-control codes. The construction utilizes nearly self-orthogonal cod…
Non-negative Matrix Factorization using Partial Prior Knowledge for Radiation Dosimetry
Boby Lessard, Frédéric Marcotte, Arthur Lalonde +4
Hyperspectral unmixing aims at decomposing a given signal into its spectral signatures and its associated fractional abundances. To improve the accuracy of this decomposition, algo…