Zobrazeno 1 - 10
of 4 269
pro vyhledávání: '"P, Pavlidis"'
Autor:
Pavlidis, Nikolaos, Perifanis, Vasileios, Briola, Eleni, Nikolaidis, Christos-Chrysanthos, Katsiri, Eleftheria, Efraimidis, Pavlos S., Filippidou, Despina Elisabeth
Early identification of Autism Spectrum Disorder (ASD) is considered critical for effective intervention to mitigate emotional, financial and societal burdens. Although ASD belongs to a group of neurodevelopmental disabilities that are not curable, r
Externí odkaz:
http://arxiv.org/abs/2410.20003
We present a new number theoretic definition of discrete fractional Fourier transform (DFrFT) . In this approach the DFrFT is defined as the $N \times N$ dimensional unitary representation of the generator of the arithmetic rotational group $SO_{2}[\
Externí odkaz:
http://arxiv.org/abs/2409.05759
Autor:
Yang, Tao, Sekely, Ben, Satapathy, Yashas, Allion, Greg, Barletta, Philip, Haber, Carl, Holland, Steve, Muth, John F., Pavlidis, Spyridon, Stucci, Stefania
4H-SiC low gain avalanche detectors (LGADs) have been fabricated and characterized. The devices employ a circular mesa design with low-resistivity contacts and an SiO$_2$ passivation layer. The I-V and C-V characteristics of the 4H-SiC LGADs are comp
Externí odkaz:
http://arxiv.org/abs/2408.12744
Autor:
Sun, Hongyi, Lian, Chuanyu, Vásquez-Aza, Francis, Kari, Sadra Rahimi, Huang, Yi-Siou, Restelli, Alessandro, Vitale, Steven A., Takeuchi, Ichiro, Hu, Juejun, Youngblood, Nathan, Pavlidis, Georges, Ocampo, Carlos A. Ríos
Nonvolatile photonic integrated circuits employing phase change materials have relied either on optical switching mechanisms with precise multi-level control but poor scalability or electrical switching with seamless integration and scalability but m
Externí odkaz:
http://arxiv.org/abs/2407.00059
Autor:
Jalal, Md Asif, Parada, Pablo Peso, Pavlidis, George, Moschopoulos, Vasileios, Saravanan, Karthikeyan, Kontoulis, Chrysovalantis-Giorgos, Zhang, Jisi, Drosou, Anastasios, Lee, Gil Ho, Lee, Jungin, Jung, Seokyeong
Automatic Speech Recognition (ASR) still face challenges when recognizing time-variant rare-phrases. Contextual biasing (CB) modules bias ASR model towards such contextually-relevant phrases. During training, a list of biasing phrases are selected fr
Externí odkaz:
http://arxiv.org/abs/2401.13146
Systolic arrays are popular for executing deep neural networks (DNNs) at the edge. Low latency and energy efficiency are key requirements in edge devices such as drones and autonomous vehicles. Monolithic 3D (MONO3D) is an emerging 3D integration tec
Externí odkaz:
http://arxiv.org/abs/2401.03585
Autor:
Garyfallou, Dimitrios, Stefanou, Athanasios, Giamouzis, Christos, Antoniadis, Moschos, Chararas, Georgios, Chatzis, Konstantinos, Samaras, Dimitris, Themeli, Rafaela, Michailidis, Anastasios, Gogolou, Vasiliki, Zachos, Nikos, Evmorfopoulos, Nestor, Noulis, Thomas, Pavlidis, Vasilis F., Hatzopoulos, Alkiviadis, Chatzineofytou, Elpida, Moisiadis, Yiannis
Model order reduction (MOR) is crucial for the design process of integrated circuits. Specifically, the vast amount of passive RLCk elements in electromagnetic models extracted from physical layouts exacerbates the extraction time, the storage requir
Externí odkaz:
http://arxiv.org/abs/2401.10236
Autor:
Arampatzakis, Vasileios, Pavlidis, George, Pantoglou, Kyriakos, Mitianoudis, Nikolaos, Papamarkos, Nikos
The estimation of depth in two-dimensional images has long been a challenging and extensively studied subject in computer vision. Recently, significant progress has been made with the emergence of Deep Learning-based approaches, which have proven hig
Externí odkaz:
http://arxiv.org/abs/2310.16457
Autor:
Pavlidis, Nikolaos, Perifanis, Vasileios, Chatzinikolaou, Theodoros Panagiotis, Sirakoulis, Georgios Ch., Efraimidis, Pavlos S.
Federated Learning (FL) has emerged as a promising solution for privacy-enhancement and latency minimization in various real-world applications, such as transportation, communications, and healthcare. FL endeavors to bring Machine Learning (ML) down
Externí odkaz:
http://arxiv.org/abs/2310.00627
Autor:
Perifanis, Vasileios, Pavlidis, Nikolaos, Yilmaz, Selim F., Wilhelmi, Francesc, Guerra, Elia, Miozzo, Marco, Efraimidis, Pavlos S., Dini, Paolo, Koutsiamanis, Remous-Aris
Cellular traffic prediction is a crucial activity for optimizing networks in fifth-generation (5G) networks and beyond, as accurate forecasting is essential for intelligent network design, resource allocation and anomaly mitigation. Although machine
Externí odkaz:
http://arxiv.org/abs/2309.10645