Results 111 to 120 of about 431,582 (257)

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan, Mohammad Kamrul Hasan, Shayla Islam, Salwani Abdullah, Shailesh Khapre, Dalbir Singh, Abdulaziz A. Alsulami, Ali Alqahtani   +7 more
wiley   +1 more source

Neural Network-Based Bandit: A Medium Access Control for the IIoT Alarm Scenario

IEEE Open Journal of the Communications Society
Efficient Random Access (RA) is critical for enabling reliable communication in Industrial Internet of Things (IIoT) networks. Herein, we propose a deep reinforcement learning-based distributed RA scheme, entitled Neural Network-Based Bandit (NNBB), for ...
Prasoon Raghuwanshi, Onel Luis Alcaraz Lopez, Neelesh B. Mehta, Hirley Alves, Matti Latva-Aho   +4 more
doaj   +1 more source

Legal and ethical considerations around the use of existing illustrations to generate new illustrations in the anatomical sciences

Anatomical Sciences Education, Volume 18, Issue 3, Page 289-300, March 2025.
Abstract It is likely existing anatomical illustrations are often used as the basis for new illustrative works, given not all illustrators have access to human tissues, bodies, or prosections on which to base their illustrations. Potential issues arise with this practice in the realms of copyright infringement and plagiarism when authors are seeking to
Jon Cornwall, Richard White, Patrick Pennefather, Sabine Hildebrandt, Jill Gregory, Heather F. Smith, Jason Organ, Claudia Krebs   +7 more
wiley   +1 more source

Empowering and conquering infirmity of visually impaired using AI‐technology equipped with object detection and real‐time voice feedback system in healthcare application

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract The Internet of Things is emerging as a crucial technology in aiding humans and making their lives easier. Among the human population, a large percentage of people suffer from disabilities resulting in challenges in everyday life particularly people with visual disabilities.
Hania Tarik, Shahzad Hassan, Rizwan Ali Naqvi, Saddaf Rubab, Usman Tariq, Monia Hamdi, Hela Elmannai, Ye Jin Kim, Jae‐Hyuk Cha   +8 more
wiley   +1 more source

Corporate Decarbonization via Technology and Management

Business Strategy and the Environment, EarlyView.
ABSTRACT This study provides a comprehensive overview of key findings on decarbonization, advanced technologies, and management strategies, highlighting emerging themes shaping the field. Advanced technologies enhance carbon reduction through efficiency, real‐time monitoring, and optimizing resource optimization.
Heidy Montero‐Teran, Rudolf R. Sinkovics, Olli Kuivalainen   +2 more
wiley   +1 more source

An Imperfect Monitoring Game-Theoretic Approach for Crowdsourcing Reliable Wireless Data

IEEE Open Journal of the Communications Society
Gathering useful and trustworthy wireless data using crowdsourcing to train/validate machine learning (ML) algorithms can be difficult due to two factors: 1) correctness and reliability of the gathered data from various independent wireless access points
Zunera Javed, Zaheer Khan, Janne J. Lehtomaki, Hamed Ahmadi, Su P. Sone   +4 more
doaj   +1 more source

Ultra‐High‐Efficiency On‐Chip CO2 Conversion by Nanosecond Self‐Pulsing Micro‐Plasma Devices

Carbon Energy, EarlyView.
A micro‐plasma chip with sub‐10‐μm electrode gaps is introduced for efficient CO2‐to‐CO conversion. The device self‐converts a DC power supply into nanosecond pulses, producing field‐emission electrons that vibrationally excite CO2, driving dissociation via the ladder‐climbing mechanism. A scaled‐up chip array achieves 30% single‐pass conversion and 50%
Guangyu Sun, Bartu Karakurt, Hongkeng Zhu, Onder Soydal, Jeremy S. Luterbacher, Elison Matioli   +5 more
wiley   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Transfer learning enabled transformer-based generative adversarial networks for modeling and generating terahertz channels

Communications Engineering
Terahertz communications are envisioned as a promising technology for the sixth generation and beyond wireless systems, which can support wireless links with Terabits-per-second (Tbps) data rates.
Zhengdong Hu, Yuanbo Li, Chong Han
doaj   +1 more source

A Universal Attenuation Model of Terahertz Wave in Space-Air-Ground Channel Medium

IEEE Open Journal of the Communications Society
Providing continuous bandwidth over several tens of GHz, the Terahertz (THz) band (0.1-10 THz) supports space-air-ground integrated network (SAGIN) in 6G and beyond wireless networks.
Zhirong Yang, Weijun Gao, Chong Han
doaj   +1 more source