Results 201 to 210 of about 5,478 (285)

Autoethnography as a Research Methodology in TESOL

TESOL Quarterly, EarlyView.
Abstract In this article, I discuss autoethnography as a qualitative research methodology that has been increasingly adopted by scholars in TESOL in the last decade. My goal is to introduce this methodology to colleagues who are preparing to use autoethnography in their research and I expect that introduction to take them to other resources in the ...
Bedrettin Yazan
wiley   +1 more source

Maximizing the Economic, Environmental, and Social Impact of the Metaverse

Thunderbird International Business Review, EarlyView.
ABSTRACT The metaverse is a transformative digital ecosystem with the potential to redefine economic, environmental, and social systems. This qualitative study examines how the metaverse and its enabling technologies—such as AR/VR, blockchain, and AI—might evolve to influence sustainability. Drawing on semi‐structured interviews with global experts and
Alessandro Lanteri, Mark Esposito, Massimiliano Cappuccio   +2 more
wiley   +1 more source

Investigating SME‐Inclusive Public‐Private AI Innovation Network: Evidence From U.S. Small Business Administration (1991–2023)

Thunderbird International Business Review, EarlyView.
ABSTRACT Understanding innovation policy is pivotal to enhancing national competitiveness for global value chain. This research investigates an SME‐Inclusive public‐private AI innovation network over time in the U.S. context (1991–2023), revealing how a government's demand‐based innovation policy bolsters technological prowess through isomorphism and ...
Jiyoon An
wiley   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

Graph neural network‐based attack prediction for communication‐based train control systems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Advanced Persistent Threats (APTs) have emerged as one of the key security challenges to industrial control systems. APTs are complex multi‐step attacks, and they are naturally diverse and complex. Therefore, it is important to comprehend the behaviour of APT attackers and anticipate the upcoming attack actions.
Junyi Zhao, Tao Tang, Bing Bu, Qichang Li   +3 more
wiley   +1 more source

An Information-Centred Approach to Combat Cyberbullying [PDF]

, 2015
Bakharia, A, Narayan, B
core  

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source

Dynamic Resource Allocation Optimisation and Security‐Resilient Control for Bandwidth‐Limited Network Control Systems With Data Conflicts

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Networked control systems (NCSs) often suffer from performance degradation due to limited communication bandwidth, which can cause data transmission conflicts and packet loss. Existing scheduling strategies may fail to simultaneously meet the real‐time requirements and the importance of multisensor data, and they are particularly vulnerable ...
Da Chen, Kaibo Shi, Bin Guo, Kangkang Sun, Huaicheng Yan, Xiao Cai   +5 more
wiley   +1 more source

Adolescent Cyberbullying and Cyber Victimization: Longitudinal Study Before and During COVID-19.

J Med Internet Res
Schulz PJ, Boldi MO, van Ackere A.
europepmc   +1 more source

The Third Dimension of Victimization [PDF]

, 2015
Leary, Mary Graw
core