Results 161 to 170 of about 20,682 (248)

Risks of Time and Chronology as an Underpinning Infrastructure for Critical Systems: Emerging Chronorisks and Chronosecurity Needs

open access: yesJournal of Critical Infrastructure Policy, Volume 7, Issue 1, Spring/Summer 2026.
ABSTRACT Time and chronology form the invisible architecture upon which modern civilization depends, governing synchronization across markets, power grids, communication networks, transportation, and defense. Yet, this shared temporal framework, engineered through atomic clocks, satellites, and digital synchronization, faces growing vulnerabilities ...
Bilal M. Ayyub
wiley   +1 more source

Measuring Consumer Alienation in the Digital Market: Scale Development and Validation

open access: yesPsychology &Marketing, Volume 43, Issue 1, Page 88-107, January 2026.
ABSTRACT This study re‐evaluates the concept of consumer alienation in the context of the digital marketplace. With the transformation brought about by the Fourth Industrial Revolution, traditional views on consumer alienation, which emphasize a psychological state of market isolation, require updating.
Yu Lim Lee, Jae‐Eun Chung
wiley   +1 more source

A swarm-optimization based fusion model of sentiment analysis for cryptocurrency price prediction. [PDF]

open access: yesSci Rep
Tiwari D   +5 more
europepmc   +1 more source

Predicting Arbitrage Occurrences With Machine Learning and Improved Decision Threshold Level in Live‐Trading Crypto Environments

open access: yesInternational Journal of Network Management, Volume 36, Issue 1, January/February 2026.
The results of this paper show that incorporating ML predictions with a confidence ratio significantly improves profitability, achieving a 258.5% profit and ~60% increase in total balance compared with traditional non‐ML strategies. By leveraging ML algorithms like multilayer perceptron, this approach enhances decision‐making and outperforms competing ...
Kristína Okasová   +2 more
wiley   +1 more source

Evaluating machine learning models for predictive accuracy in cryptocurrency price forecasting. [PDF]

open access: yesPeerJ Comput Sci
Qureshi SM   +6 more
europepmc   +1 more source

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