Zobrazeno 1 - 10
of 7 305
pro vyhledávání: '"Pandi, A."'
A novel Decentralized Noisy Model Update Tracking Federated Learning algorithm (FedNMUT) is proposed that is tailored to function efficiently in the presence of noisy communication channels that reflect imperfect information exchange. This algorithm
Externí odkaz:
http://arxiv.org/abs/2403.13247
Autor:
Yuan, Liangqi, Han, Dong-Jun, Chellapandi, Vishnu Pandi, Żak, Stanislaw H., Brinton, Christopher G.
Multimodal federated learning (FL) aims to enrich model training in FL settings where devices are collecting measurements across multiple modalities (e.g., sensors measuring pressure, motion, and other types of data). However, key challenges to multi
Externí odkaz:
http://arxiv.org/abs/2310.07048
Publikováno v:
Ocean Engineering, 288 (2023), 116011
As the demand for transportation through waterways continues to rise, the number of vessels plying the waters has correspondingly increased. This has resulted in a greater number of accidents and collisions between ships, some of which lead to signif
Externí odkaz:
http://arxiv.org/abs/2310.05567
Autor:
Chellapandi, Vishnu Pandi, Yuan, Liangqi, Brinton, Christopher G., Zak, Stanislaw H, Wang, Ziran
Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles (CAV), including perception, planning, and control. However, its reliance on vehicular data for model training presents significant challenges related to in-vehicl
Externí odkaz:
http://arxiv.org/abs/2308.10407
Autor:
Haitham Jahrami, Amir H. Pakpour, Waqar Husain, Achraf Ammar, Zahra Saif, Ali Husain Alsalman, Adel Aloffi, Khaled Trabelsi, Seithikurippu R. Pandi-Perumal, Michael V. Vitiello
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Hoarding disorder (HD) is characterized by a compulsion to collect belongings, and to experience significant distress when parting from them. HD is often misdiagnosed for several reasons. These include patient and family lack of r
Externí odkaz:
https://doaj.org/article/7add043437194b0c8cd83a6ed6255ca2
Autor:
Olivia K. Botonis, Jonathan Mendley, Shreya Aalla, Nicole C. Veit, Michael Fanton, JongYoon Lee, Vikrant Tripathi, Venkatesh Pandi, Akash Khobragade, Sunil Chaudhary, Amitav Chaudhuri, Vaidyanathan Narayanan, Shuai Xu, Hyoyoung Jeong, John A. Rogers, Arun Jayaraman
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract The COVID-19 pandemic has challenged the current paradigm of clinical and community-based disease detection. We present a multimodal wearable sensor system paired with a two-minute, movement-based activity sequence that successfully captures
Externí odkaz:
https://doaj.org/article/83256a96ab9f4be2ae6c541245e4a2a7
Autor:
Pandi Frenecius Nainggolan, Rd Muhammad Ikhsan, Hamonangan Albariansyah, Jimmy Christiansen Sinaga
Publikováno v:
Ius Poenale, Vol 5, Iss 1, Pp 69-78 (2024)
The offense of blasphemy is complex and confusing due to its three distinct definitions: offense according to religion, offense against religion, and offense related to religion. This lack of clarity results in no clear boundaries for defining what c
Externí odkaz:
https://doaj.org/article/a4041b6b8a3b4543a71268aa4e6e33fe
Autor:
Nurdyansyah Nurdyansyah, Moch. Bahak Udin By Arifin, Dipta Arimbi Hariba Cemerlang, Pandi Rais
Publikováno v:
Jurnal Kependidikan, Vol 10, Iss 3, Pp 1078-1090 (2024)
This study aims to develop and analyze the feasibility, practicality, and effectiveness of e-modules based on life-based learning for improving students' critical thinking skills. The research employs the Research and Development (R&D) method with th
Externí odkaz:
https://doaj.org/article/7ea3fa3a481e41578f62f813919957d7
Publikováno v:
Discover Agriculture, Vol 2, Iss 1, Pp 1-25 (2024)
Abstract The aquaculture sector is facing the challenge of developing sustainable and cost-effective alternatives to traditional fish feed components. Lupin, a versatile utilitarian legume, has garnered increasing interest due to its nutritional valu
Externí odkaz:
https://doaj.org/article/d3363a1ff60545fd812323766d2a4481
Technical debt is a well-known challenge in software development, and its negative impact on software quality, maintainability, and performance is widely recognized. In recent years, artificial intelligence (AI) has proven to be a promising approach
Externí odkaz:
http://arxiv.org/abs/2306.10194