Recently added

Active Inference in Hebbian Learning Networks

Safa, Ali; Verbelen, Tim; Keuninckx, Lars; Ocket, Ilja; Bourdoux, André; Catthoor, Francky; Gielen, Georges; Cauwenberghs, Gert (2024)

Demonstration of Chip Overclock Detection by Employing Tamper-Aware Odometer Technology

Diaz Fortuny, Javier; Saraza Canflanca, Pablo; Romano-Molar, Alex; Bury, Erik; Degraeve, Robin; Kaczer, Ben (2024)

Assessing the Influence of Robot-Assisted Movement through Muscle Synergies Similarities

Diaz, Maria Alejandra; De Bock, Sander; Haji Ali Mohamadi, Parham; Langlois, Kevin; De Winter, Joris; Verstraten, Tom; De Pauw, Kevin (2024)

Real-Time Demonstration of Low-Latency Video Delivery via Hybrid Unicast-Broadcast Networks

Haems, Casper; van der Hooft, Jeroen; Mareen, Hannes; Steenkiste, Peter; Van Wallendael, Glenn; Wauters, Tim; De Turck, Filip (2024)

TGIF: Text-Guided Inpainting Forgery Dataset

Mareen, Hannes; Karageorgiou, Dimitrios; Van Wallendael, Glenn; Lambert, Peter; Papadopoulos, Symeon (2024)

Design-for-Test for Intermittent Faults in STT-MRAMs

Yuan, Sicong; Yaldagard, Mohammad Amin; Xun, Hanzhi; Fieback, Moritz; Marinissen, Erik Jan; Kim, Woojin; Rao, Siddharth; Couet, Sebastien; Taouil, Mottaqiallah; Hamdioui, Said (2024)

Improved Deepfake Video Detection Using Convolutional Vision Transformer

Deressa, Deressa Wodajo; Lambert, Peter; Van Wallendael, Glenn; Atnafu, Solomon; Mareen, Hannes (2024)

Test and Repair Improvements for UCIe

Wang, Tsung-Hsuan; Chuang, Po-Yao; Lorenzelli, Francesco; Marinissen, Erik Jan (2024)

Designing a dynamic platform for the next generation of multi-modal logistics

Bello, Raid Cuervo; Cuervo Bello, Raul; Gavrielides, Andreas; Ngoc Quang Luong; Luong, Ngoc Quang; Ayfantopoulou, Georgia; Dais, Sofoklis; Batzou, Katerina; Manos, Orestis; Lilli, Giota; Escagues, Jorge Feliu; Enriquez Manilla, Alicia; Melero Corell, Jorge; Sandias Corbillon, Gonzalo; Stefanescu, Stefan; Marcu, Andra Luciana; Capbun, Nicoleta; Suciu, George, Jr.; Barmpounakis, Sokratis; Koutantos, Grigorios; Demestichas, Panagiotis; Marquez-Barja, Johann (2024)

Balancing Habit Repetition and New Activity Exploration: A Longitudinal Micro-Randomized Trial in Physical Activity Recommendations

Coppens, Ine; De Pessemier, Toon; Martens, Luc (2024)

DTCO of Nanosheet and Forksheet Architectures: Exploring Dielectric Walls, Contacting Schemes, and Active Regions for Optimized RO Performance

Gaddemane, Gautam; Schuddinck, Pieter; Bhuwalka, Krishna; Rzepa, Gerhard; Mirabelli, Gioele; Matagne, Philippe; Yakimets, Dmitry; Wu, Hao; Hellings, Geert; Liu, Changze (2024)

Investigation of electromagnetic feedthrough in spin wave based majority gates

Bunea, Alina-Cristina; Ciubotaru, Florin; Meng, Fanfan; Adelmann, Christoph; Profirescu, Ovidiu-George; Neculoiu, Dan (2024)

Joint Tugboat and Dock Pilot Capacity Prediction

Denis, Hansi; Luong, Ngoc Quang; Mercelis, Siegfried (2024-10-01)

Large-scale neural network in passive silicon photonics for biologically plausible learning.

Lugnan, Alessio; Foradori, Alessandro; Biasi, Stefano; Bienstman, Peter; Pavesi, Lorenzo (2024)

Towards scalable heterogeneous integration of thin-film lithium niobate on silicon photonics using microtransfer printing

Vanackere, Tom; Vandekerckhove, Tom; Billet, Maximilien; Tan, Ying; Niels, Margot; Zhai, Tingting; Parracino, Antonietta; Bonito Oliva, Valeria; Withouck, Jorik; Roelkens, Gunther; Van Thourhout, Dries; Clemmen, Stephane; Kuyken, Bart (2024)

Increasing the nonlinear computational capacity of a spatial photonic reservoir computing system

Bauwens, Jan; Harkhoe, Krishan; Gooskens, Emmanuel; Bienstman, Peter; Verschaffelt, Guy; Van der Sande, Guy (2024)

Clustering and Classification of Fungal Cells and PMMA Microparticles: Unsupervised and Supervised Learning using K-Means, PCA, Logistic Regression and Spiking Neural Networks on Event-Based Cytometry Datasets

Gouda, Muhammed; Abreu, Steve; Bienstman, Peter (2024)

Conference contributions: Recent submissions

Active Inference in Hebbian Learning Networks

Demonstration of Chip Overclock Detection by Employing Tamper-Aware Odometer Technology

Assessing the Influence of Robot-Assisted Movement through Muscle Synergies Similarities

Real-Time Demonstration of Low-Latency Video Delivery via Hybrid Unicast-Broadcast Networks

TGIF: Text-Guided Inpainting Forgery Dataset

Design-for-Test for Intermittent Faults in STT-MRAMs

Improved Deepfake Video Detection Using Convolutional Vision Transformer

Test and Repair Improvements for UCIe

Designing a dynamic platform for the next generation of multi-modal logistics

Balancing Habit Repetition and New Activity Exploration: A Longitudinal Micro-Randomized Trial in Physical Activity Recommendations

DTCO of Nanosheet and Forksheet Architectures: Exploring Dielectric Walls, Contacting Schemes, and Active Regions for Optimized RO Performance

Investigation of electromagnetic feedthrough in spin wave based majority gates

Joint Tugboat and Dock Pilot Capacity Prediction

Large-scale neural network in passive silicon photonics for biologically plausible learning.

Towards scalable heterogeneous integration of thin-film lithium niobate on silicon photonics using microtransfer printing

Increasing the nonlinear computational capacity of a spatial photonic reservoir computing system

Clustering and Classification of Fungal Cells and PMMA Microparticles: Unsupervised and Supervised Learning using K-Means, PCA, Logistic Regression and Spiking Neural Networks on Event-Based Cytometry Datasets

Cascading photonic reservoirs with deep neural networks increases computational performance

Analyzing GPU Energy Consumption in Data Movement and Storage

Beyond Convolutions: Transformer Networks for Improved UWB CIR-based Fingerprinting

Conference contributions: Recent submissions

Active Inference in Hebbian Learning Networks ﻿

Demonstration of Chip Overclock Detection by Employing Tamper-Aware Odometer Technology ﻿

Assessing the Influence of Robot-Assisted Movement through Muscle Synergies Similarities ﻿

Real-Time Demonstration of Low-Latency Video Delivery via Hybrid Unicast-Broadcast Networks ﻿

TGIF: Text-Guided Inpainting Forgery Dataset ﻿

Design-for-Test for Intermittent Faults in STT-MRAMs ﻿

Improved Deepfake Video Detection Using Convolutional Vision Transformer ﻿

Test and Repair Improvements for UCIe ﻿

Designing a dynamic platform for the next generation of multi-modal logistics ﻿

Balancing Habit Repetition and New Activity Exploration: A Longitudinal Micro-Randomized Trial in Physical Activity Recommendations ﻿

DTCO of Nanosheet and Forksheet Architectures: Exploring Dielectric Walls, Contacting Schemes, and Active Regions for Optimized RO Performance ﻿

Investigation of electromagnetic feedthrough in spin wave based majority gates ﻿

Joint Tugboat and Dock Pilot Capacity Prediction ﻿

Large-scale neural network in passive silicon photonics for biologically plausible learning. ﻿

Towards scalable heterogeneous integration of thin-film lithium niobate on silicon photonics using microtransfer printing ﻿

Increasing the nonlinear computational capacity of a spatial photonic reservoir computing system ﻿

Clustering and Classification of Fungal Cells and PMMA Microparticles: Unsupervised and Supervised Learning using K-Means, PCA, Logistic Regression and Spiking Neural Networks on Event-Based Cytometry Datasets ﻿

Cascading photonic reservoirs with deep neural networks increases computational performance ﻿

Analyzing GPU Energy Consumption in Data Movement and Storage ﻿

Beyond Convolutions: Transformer Networks for Improved UWB CIR-based Fingerprinting ﻿

Active Inference in Hebbian Learning Networks

Demonstration of Chip Overclock Detection by Employing Tamper-Aware Odometer Technology

Assessing the Influence of Robot-Assisted Movement through Muscle Synergies Similarities

Real-Time Demonstration of Low-Latency Video Delivery via Hybrid Unicast-Broadcast Networks

TGIF: Text-Guided Inpainting Forgery Dataset

Design-for-Test for Intermittent Faults in STT-MRAMs

Improved Deepfake Video Detection Using Convolutional Vision Transformer

Test and Repair Improvements for UCIe

Designing a dynamic platform for the next generation of multi-modal logistics

Balancing Habit Repetition and New Activity Exploration: A Longitudinal Micro-Randomized Trial in Physical Activity Recommendations

DTCO of Nanosheet and Forksheet Architectures: Exploring Dielectric Walls, Contacting Schemes, and Active Regions for Optimized RO Performance

Investigation of electromagnetic feedthrough in spin wave based majority gates

Joint Tugboat and Dock Pilot Capacity Prediction

Large-scale neural network in passive silicon photonics for biologically plausible learning.

Towards scalable heterogeneous integration of thin-film lithium niobate on silicon photonics using microtransfer printing

Increasing the nonlinear computational capacity of a spatial photonic reservoir computing system

Clustering and Classification of Fungal Cells and PMMA Microparticles: Unsupervised and Supervised Learning using K-Means, PCA, Logistic Regression and Spiking Neural Networks on Event-Based Cytometry Datasets

Cascading photonic reservoirs with deep neural networks increases computational performance

Analyzing GPU Energy Consumption in Data Movement and Storage

Beyond Convolutions: Transformer Networks for Improved UWB CIR-based Fingerprinting