Zobrazeno 1 - 10
of 1 434
pro vyhledávání: '"Endler, P."'
Company fundamentals are key to assessing companies' financial and overall success and stability. Forecasting them is important in multiple fields, including investing and econometrics. While statistical and contemporary machine learning methods have
Externí odkaz:
http://arxiv.org/abs/2411.05791
In the research on FANETs (Flying Ad-Hoc Networks) and distributed coordination of UAVs (Unmanned Aerial Vehicles), also known as drones, there are many studies that validate their proposals through simulations. Simulations are important, but beyond
Externí odkaz:
http://arxiv.org/abs/2404.00113
Context: Machine Learning Operations (MLOps) has emerged as a set of practices that combines development, testing, and operations to deploy and maintain machine learning applications. Objective: In this paper, we assess the benefits and limitations o
Externí odkaz:
http://arxiv.org/abs/2403.13115
This work discusses the benefits of having multiple simulated environments with different degrees of realism for the development of algorithms in scenarios populated by autonomous nodes capable of communication and mobility. This approach aids the de
Externí odkaz:
http://arxiv.org/abs/2403.12753
Autor:
Qiao, Zhijie, Zhou, Mingyan, Zhuang, Zhijun, Agarwal, Tejas, Jahncke, Felix, Wang, Po-Jen, Friedman, Jason, Lai, Hongyi, Sahu, Divyanshu, Nagy, Tomáš, Endler, Martin, Schlessman, Jason, Mangharam, Rahul
When academic researchers develop and validate autonomous driving algorithms, there is a challenge in balancing high-performance capabilities with the cost and complexity of the vehicle platform. Much of today's research on autonomous vehicles (AV) i
Externí odkaz:
http://arxiv.org/abs/2312.00951
Autor:
Leon M. Bischoff, Christoph Endler, Philipp Krausewitz, Joerg Ellinger, Niklas Klümper, Alexander Isaak, Narine Mesropyan, Dmitrij Kravchenko, Sebastian Nowak, Daniel Kuetting, Alois M. Sprinkart, Petra Mürtz, Claus C. Pieper, Ulrike Attenberger, Julian A. Luetkens
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Objectives To implement and evaluate a super-fast and high-quality biparametric MRI (bpMRI) protocol for prostate imaging acquired at a new ultra-high gradient 3.0-T MRI system. Methods Participants with clinically suspected prostate cancer
Externí odkaz:
https://doaj.org/article/ccd66e77264b4eb1a8628b55dbff0dd1
Blockchains provide a mechanism through which mutually distrustful remote parties can reach consensus on the state of a ledger of information. With the great acceleration with which this space is developed, the demand for those seeking to learn about
Externí odkaz:
http://arxiv.org/abs/2305.10408
Autor:
Giovana Bristot, Jacson Gabriel Feiten, Bianca Pfaffenseller, Gabriel Henrique Hizo, Gabriela Maria Pereira Possebon, Fernanda Endler Valiati, Jairo Vinícius Pinto, Marco Antonio Caldieraro, Marcelo Pio de Almeida Fleck, Clarissa Severino Gama, Márcia Kauer-Sant'Anna
Publikováno v:
Trends in Psychiatry and Psychotherapy, Vol 46 (2024)
Abstract Objective: To evaluate relative expression of genes with the potential to translate environmental stimuli into long-term alterations in the brain, namely early growth response (EGR)1, EGR3, and cryptochrome circadian regulator (CRY)2 genes,
Externí odkaz:
https://doaj.org/article/933e5b8c32a24e9bb6ae2ebba15a2167
We present an AI-based ecosystem simulator that uses three-dimensional models of the terrain and animal models controlled by deep reinforcement learning. The simulations take place in a game engine environment, which enables continuous visual observa
Externí odkaz:
http://arxiv.org/abs/2301.10507
Autor:
Baldansa, Clara R. P., Porto, Roberto C. G., de Souza, Bruno José Olivieri, Carneiro, Vítor G. Andrezo, Endler, Markus
This paper shows that, when considering outdoor scenarios and wireless communications using the IEEE 802.11 protocol with dipole antennas, the ground reflection is a significant propagation mechanism. This way, the Two-Ray model for this environment
Externí odkaz:
http://arxiv.org/abs/2211.10699