Results 211 to 220 of about 20,853 (306)

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

open access: yesThunderbird 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   +2 more
wiley   +1 more source

Venture Capital Practices in Saudi Arabia: The Views of Investors

open access: yesThunderbird International Business Review, EarlyView.
ABSTRACT This study examines how venture capital (VC) investors in Saudi Arabia evaluate, negotiate, and support entrepreneurial ventures in a rapidly developing yet institutionally young setting. Drawing on 21 semi‐structured interviews with 24 investors, it offers rare insight into VC practices in the Middle East.
Tibah al‐Harbi   +2 more
wiley   +1 more source

Strengthening urban deer management with structured decision making

open access: yesWildlife Biology, EarlyView.
Urban deer management (UDM) decision‐makers face social, ecological, regulatory, and economic pressures when creating an agreeable deer management plan for stakeholders. Historically, decision making techniques (e.g. consensus‐based analyses) have not effectively balanced UDM elements leading to short‐lived management progress.
Shane D. Boehne   +6 more
wiley   +1 more source

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

open access: yesCAAI 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   +9 more
wiley   +1 more source

TD3 Deep Reinforcement Learning Control Approach for a DC‐DC Multiport Converter Used in Low‐Power EV Applications

open access: yesIET Smart Energy Systems, EarlyView.
A TD3‐based deep reinforcement learning controller is developed for a multiport converter in low‐power EV applications. The data‐driven, model‐free strategy improves dynamic performance under constant power load destabilisations and demonstrates advanced intelligent control suited for next‐generation smart and integrated energy systems.
Amirhossein Hosseini   +2 more
wiley   +1 more source

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