Zobrazeno 1 - 10
of 6 923
pro vyhledávání: '"Napoleon, A"'
In the dynamic field of artificial intelligence (AI), the development and application of Large Language Models (LLMs) for text analysis are of significant academic interest. Despite the promising capabilities of various LLMs in conducting qualitative
Externí odkaz:
http://arxiv.org/abs/2408.05126
Autor:
Susnjak, Teo, McIntosh, Timothy R., Barczak, Andre L. C., Reyes, Napoleon H., Liu, Tong, Watters, Paul, Halgamuge, Malka N.
In this study, we explored the progression trajectories of artificial intelligence (AI) systems through the lens of complexity theory. We challenged the conventional linear and exponential projections of AI advancement toward Artificial General Intel
Externí odkaz:
http://arxiv.org/abs/2407.03652
Autor:
Arge, Tummas Napoleon, Jo, Seongmin, Nguyen, Huy Quang, Lenzini, Francesco, Lomonte, Emma, Nielsen, Jens Arnbak Holbøll, Domeneguetti, Renato R., Neergaard-Nielsen, Jonas Schou, Pernice, Wolfram, Gehring, Tobias, Andersen, Ulrik Lund
Squeezed states are essential for continuous variable (CV) quantum information processing, with wide-ranging applications in computing, sensing and communications. Integrated photonic circuits provide a scalable, convenient platform for building larg
Externí odkaz:
http://arxiv.org/abs/2406.16516
Autor:
Susnjak, Teo, Hwang, Peter, Reyes, Napoleon H., Barczak, Andre L. C., McIntosh, Timothy R., Ranathunga, Surangika
This research pioneers the use of fine-tuned Large Language Models (LLMs) to automate Systematic Literature Reviews (SLRs), presenting a significant and novel contribution in integrating AI to enhance academic research methodologies. Our study employ
Externí odkaz:
http://arxiv.org/abs/2404.08680
This paper proposes a new knowledge distillation method tailored for image semantic segmentation, termed Intra- and Inter-Class Knowledge Distillation (I2CKD). The focus of this method is on capturing and transferring knowledge between the intermedia
Externí odkaz:
http://arxiv.org/abs/2403.18490
Speech Emotion Recognition (SER) plays a crucial role in advancing human-computer interaction and speech processing capabilities. We introduce a novel deep-learning architecture designed specifically for the functional data model known as the multipl
Externí odkaz:
http://arxiv.org/abs/2403.17562
Autor:
P. J. Soto Vega, G. X. Andrade-Miranda, G. A. O. P. da Costa, P. Papadakis, M. Matabos, T. Napoleon, A. Karine, H. Fagundes Gasparoto
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-3-2024, Pp 387-395 (2024)
Due to recent technological developments, the acquisition and availability of deep-sea imagery has increased exponentially in the last years, leading to an increasing backlog in image annotation and processing, attributable to limited specialized hum
Externí odkaz:
https://doaj.org/article/74bf88f73b2a4dc9b4c4fc8ccee87960
Autor:
Iwona Ptaszyńska-Sarosiek, Agnieszka Kułak-Bejda, Anna Niemcunowicz-Janica, Napoleon Waszkiewicz, Urszula Cwalina, Miłosz Nesterowicz, Jurgita Stasiūnienė, Sławomir Dariusz Szajda, Sylwia Chojnowska, Michał Szeremeta
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract Lysosomal exoglycosidases, namely α-mannosidase (MAN), α-fucosidase (FUC), β-galactosidase (GAL), and β-glucuronidase (GLU), are of crucial importance in breaking down the oligosaccharide chains of multiple glycoconjugates. Those enzymes
Externí odkaz:
https://doaj.org/article/ebcb1e139c9e4dbb9e596b0cd5577b3f
Autor:
Siena C. Napoleon, Carolyn J. Park, Jacqueline Goldman, Yu Li, Jane A. Buxton, Alexandria Macmadu, Katie B. Biello, Julia Noguchi, Brandon D.L. Marshall
Publikováno v:
Harm Reduction Journal, Vol 21, Iss 1, Pp 1-7 (2024)
Abstract Background Fentanyl is increasingly pervasive in the unregulated drug supply and is a driver of drug overdose deaths in the United States. The aims of this study were to characterize and identify correlates of fentanyl preference among peopl
Externí odkaz:
https://doaj.org/article/f2739d0419d04645aa30dd6b44acfad5
Autor:
Lidia Łapińska, Aleksandra Szum-Jakubowska, Anna Krentowska, Mikołaj Pawlak, Marcin Hładuński, Napoleon Waszkiewicz, Monika Karczewska-Kupczewska, Karol Kamiński, Irina Kowalska
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Depressive symptoms are highly prevalent and heterogeneous in women. Different brain structures might be associated with depressive symptoms and body composition in women with obesity/overweight and normal-/underweight, although the data is
Externí odkaz:
https://doaj.org/article/c37af2b55d2b499a97032defa9454828