Results 201 to 210 of about 1,171,713 (299)
Who Are The Greatest Cyber Attack Threats To The United States?: UNH Unveils Cyber Threat Calculator At National Defense Department Conference [PDF]
Wright, Lori
core +1 more source
Geopolitical Risk and Food Inflation
ABSTRACT This study investigates the complex relationship between geopolitical risk and food inflation, a critical issue for global food security. Using panel data from 177 countries from 2019 to 2021, the research employs a random effects estimation model to analyze the dynamic.
Izaete Leite Nogueira +2 more
wiley +1 more source
Edge Computing in Healthcare Using Machine Learning: A Systematic Literature Review
Three key parts of our review. This review examines recent research on integrating machine learning with edge computing in healthcare. It is structured around three key parts: the demographic characteristics of the selected studies; the themes, tools, motivations, and data sources; and the key limitations, challenges, and future research directions ...
Amir Mashmool +7 more
wiley +1 more source
ABSTRACT Contemporary societies face slow‐burning crises – such as antimicrobial resistance (AMR) – that demand sustained responses from national governments but often elicit uneven action. Policy implementation, public health, and creeping crisis literatures have each proposed factors to explain why governments vary in their responses.
Nicholas Olczak, Mark Rhinard
wiley +1 more source
ABSTRACT Geopolitical uncertainties and the resurgence of security and defence needs present both opportunities and challenges for creativity and innovation management. At both the organizational and the individual levels, we are confronted with multiple ethically challenging choices. Given the changing global security and defence realities, we outline
Mette Præst Knudsen +4 more
wiley +1 more source
Honeypots: Screening Cyber Attacks
M. I., Vanam Rajkumar, Adnaan Arbaaz
openaire +1 more source
ABSTRACT Zero‐day exploits remain challenging to detect because they often appear in unknown distributions of signatures and rules. The article entails a systematic review and cross‐sectional synthesis of four fundamental model families for identifying zero‐day intrusions, namely, convolutional neural networks (CNN), deep neural networks (DNN ...
Abdullah Al Siam +3 more
wiley +1 more source
Farida Chowdhury, Md Sadek Ferdous
openaire +1 more source

