Zobrazeno 1 - 10
of 5 505
pro vyhledávání: '"Arief P."'
Publikováno v:
Russian Journal of Agricultural and Socio-Economic Sciences, Vol 125, Iss 5, Pp 291-296 (2022)
Bacterial infections, such as Edwardsiella tarda, can cause fish diseases. The onset of the disease is the least expected by the cultivators because it can result in economic losses. Antibiotics are commonly used by cultivators to treat fish diseases
Externí odkaz:
https://doaj.org/article/5fc49a3561be4dc495e1b69ab551e58b
Autor:
Ward, Isaac Ronald, Asmar, Dylan M., Arief, Mansur, Mike, Jana Krystofova, Kochenderfer, Mykel J.
Deciding on appropriate mechanical ventilator management strategies significantly impacts the health outcomes for patients with respiratory diseases. Acute Respiratory Distress Syndrome (ARDS) is one such disease that requires careful ventilator oper
Externí odkaz:
http://arxiv.org/abs/2411.07971
Non-linear convection-reaction-diffusion (CRD) partial differential equations (PDEs) are crucial for modeling complex phenomena in fields such as biology, ecology, population dynamics, physics, and engineering. Numerical approximation of these non-li
Externí odkaz:
http://arxiv.org/abs/2411.09704
Autor:
Jiang, Shuai, Robinson, Christina, Anderson, Joseph, Hisey, William, Butterly, Lynn, Suriawinata, Arief, Hassanpour, Saeed
Colonoscopy screening is an effective method to find and remove colon polyps before they can develop into colorectal cancer (CRC). Current follow-up recommendations, as outlined by the U.S. Multi-Society Task Force for individuals found to have polyp
Externí odkaz:
http://arxiv.org/abs/2410.09880
One of the key issues contributing to inefficiency in Puskesmas is the time-consuming nature of doctor-patient interactions. Doctors need to conduct thorough consultations, which include diagnosing the patient's condition, providing treatment advice,
Externí odkaz:
http://arxiv.org/abs/2409.17054
Automated fact-checking is a key strategy to overcome the spread of COVID-19 misinformation on the internet. These systems typically leverage deep learning approaches through Natural Language Inference (NLI) to verify the truthfulness of information
Externí odkaz:
http://arxiv.org/abs/2409.00061
Autor:
ElZemity, Adel, Arief, Budi
Federated Learning (FL) in the Internet of Things (IoT) environments can enhance machine learning by utilising decentralised data, but at the same time, it might introduce significant privacy and security concerns due to the constrained nature of IoT
Externí odkaz:
http://arxiv.org/abs/2407.18096
This study addresses the challenge of stroke diagnosis and treatment under uncertainty, a critical issue given the rapid progression and severe consequences of stroke conditions such as aneurysms, arteriovenous malformations (AVM), and occlusions. Cu
Externí odkaz:
http://arxiv.org/abs/2407.16962
Training intelligent agents to navigate highly interactive environments presents significant challenges. While guided meta reinforcement learning (RL) approach that first trains a guiding policy to train the ego agent has proven effective in improvin
Externí odkaz:
http://arxiv.org/abs/2407.15839
Autor:
Delecki, Harrison, Schlichting, Marc R., Arief, Mansur, Corso, Anthony, Vazquez-Chanlatte, Marcell, Kochenderfer, Mykel J.
Validating safety-critical autonomous systems in high-dimensional domains such as robotics presents a significant challenge. Existing black-box approaches based on Markov chain Monte Carlo may require an enormous number of samples, while methods base
Externí odkaz:
http://arxiv.org/abs/2406.14761