Zobrazeno 1 - 10
of 3 632
pro vyhledávání: '"P. Prabu"'
Publikováno v:
Journal of Acupuncture & Meridian Studies, Vol 17, Iss 1, Pp 38-43 (2024)
Background : Osteoarthritis of the knee (OAK) is a chronic degenerative musculoskeletal disorder that strongly affects the elderly population and decreases their quality of life. Pain, stiffness, and restricted knee movements are the major characteri
Externí odkaz:
https://doaj.org/article/33c4a083e4dc4fb6962399673ab8a25a
Autor:
Kurunandan Jain, Betrant Titus, Prabhakar Krishnan, Sujitha Sudevan, P. Prabu, Ala Saleh Alluhaidan
Publikováno v:
IEEE Access, Vol 12, Pp 62118-62148 (2024)
The swift development of the Internet of Things (IoT) has accelerated digitalization across several industries, offering networked applications in fields such as security, home automation, logistics, and quality control. The growth of connected devic
Externí odkaz:
https://doaj.org/article/efde49281dc147a5b0a80589f2d706b1
Autor:
K. M. Baalamurugan, P. Prabu, Nebojsa Bacanin, K. Venkatachalam, S. S. Askar, Mohamed Abouhawwash
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/ef14f5934c984b87ba8a2d9e09eb6b0d
Publikováno v:
Measurement: Sensors, Vol 29, Iss , Pp 100877- (2023)
This research proposes an IoT based technique for predicting rainfall forecast in coastal regions using a deep reinforcement learning model. The proposed technique utilizes Long Short-Term Memory (LSTM) networks to capture the temporal dependencies b
Externí odkaz:
https://doaj.org/article/16362b1c829d43a0aeab288d9a8dfefd
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-42 (2023)
Abstract Network Intrusion Detection Systems (NIDS) and firewalls are the de facto solutions in the modern cloud to detect cyberattacks and minimize potential hazards for tenant networks. Most of the existing firewalls, perimeter security, and middle
Externí odkaz:
https://doaj.org/article/a255f48e19c347c08ed205c7b8db6b2c
Autor:
Ala Saleh D. Alluhaidan, P. Prabu
Publikováno v:
IEEE Access, Vol 11, Pp 70040-70051 (2023)
Internet of Things (IoT) technologies will interconnect with a wide range of network devices, regardless of their local network and resource capacities. Ensuring the security, communication, and privacy protection of end-users is a major concern in I
Externí odkaz:
https://doaj.org/article/efcbb7cb70c24b69b8f549beea7af2de
Publikováno v:
IEEE Access, Vol 11, Pp 1213-1223 (2023)
The effectiveness of any Machine Learning process depends on the accuracy of annotated data that is used to train a learner. However, manual annotation is expensive. Hence, researchers adopt a semi-supervised approach called active learning that aims
Externí odkaz:
https://doaj.org/article/0700b561fa2d491c9bc4be1a75117dfa
Publikováno v:
IEEE Access, Vol 10, Pp 68017-68028 (2022)
Churn prediction is gaining popularity in the research community as a powerful paradigm that supports data-driven operational decisions. Datasets related to churn prediction are often skewed with imbalanced class distribution. Data-level solutions, l
Externí odkaz:
https://doaj.org/article/361285820c4f4e328aafa4bdbd83a948
Autor:
Wood, Callan M., Miller-Jones, James C. A., Bahramian, Arash, Tingay, Steven J., Prabu, Steve, Russell, Thomas D., Atri, Pikky, Carotenuto, Francesco, Altamirano, Diego, Motta, Sara E., Hyland, Lucas, Reynolds, Cormac, Weston, Stuart, Fender, Rob, Körding, Elmar, Maitra, Dipankar, Markoff, Sera, Migliari, Simone, Russell, David M., Sarazin, Craig L., Sivakoff, Gregory R., Soria, Roberto, Tetarenko, Alexandra J., Tudose, Valeriu
Multi-wavelength polarimetry and radio observations of Swift J1727.8-1613 at the beginning of its recent 2023 outburst suggested the presence of a bright compact jet aligned in the north-south direction, which could not be confirmed without high angu
Externí odkaz:
http://arxiv.org/abs/2405.12370
This study explores linguistic differences between human and LLM-generated dialogues, using 19.5K dialogues generated by ChatGPT-3.5 as a companion to the EmpathicDialogues dataset. The research employs Linguistic Inquiry and Word Count (LIWC) analys
Externí odkaz:
http://arxiv.org/abs/2401.16587