Results 61 to 70 of about 5,282,475 (283)

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Vernacular Futurism: How Persian Language Users Imagine AI

AI &Innovation, EarlyView.
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley   +1 more source

The forward–backward splitting method for finding the minimum like-norm solution of the mixed variational inequality problem

Journal of Inequalities and Applications, 2023
We consider a general class of convex optimization problems in which one seeks to minimize a strongly convex function over a closed and convex set, which is by itself an optimal set of another mixed variational inequality problem in a Hilbert space ...
Wei-Bo Guan, Wen Song
doaj   +1 more source

Causal analysis of trade loss from pathogens: A global study of foot and mouth disease impacts on meat exports

American Journal of Agricultural Economics, EarlyView.
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman, Thomas L. Marsh   +1 more
wiley   +1 more source

A variational-like inequality problem [PDF]

Bulletin of the Australian Mathematical Society, 1989
Given a closed and convex set K in Rn and two continuous maps F: K → Rn and η: K × K → Rn, the problem considered here is to find ε K such that.We call it a variational-like inequality problem, and develop a theory for the existence of a solution.
Parida, J., Sahoo, M., Kumar, A.
openaire   +2 more sources

Preferential trading in agriculture: New insights from a structural gravity analysis and machine learning

American Journal of Agricultural Economics, EarlyView.
Abstract Preferential trade agreements (PTAs) contain various non‐tariff provisions, yet identifying their trade effects remains challenging because these commitments are high‐dimensional and strongly correlated within agreements. We estimated a theory‐consistent structural gravity model with domestic flows for 26 agricultural subsectors over 1988–2017
Dongin Kim, Sandro Steinbach
wiley   +1 more source

On monotone nonlinear variational inequality problems [PDF]

, 1998
summary:The solvability of a class of monotone nonlinear variational inequality problems in a reflexive Banach space setting is ...
Verma, Ram U.
core   +1 more source

The Made‐in‐Africa Evaluation framework: A decolonial approach to program evaluation

American Journal of Community Psychology, EarlyView.
Abstract The Made in Africa Evaluation (MAE) framework is a decolonial approach to program evaluation developed by African evaluators over the past 14 years. MAE may be appropriate to community psychologists who practice program evaluation or conduct research in Africa, but little is known about its implementation.
Takatso Sibanda, Robin Lin Miller
wiley   +1 more source

A reconsideration of quasimonotone variational inequality problems

Computational Optimization and Applications
This paper is based on Tseng's exgradient algorithm for solving variational inequality problems in real Hilbert spaces. Under the assumptions that the cost operator is quasimonotone and Lipschitz continuous, we establish the strong convergence, sublinear convergence, and Q-linear convergence of the algorithm.
Meiying Wang, Hongwei Liu 0001, Jun Yang 0046   +2 more
openaire   +3 more sources

Well-posed Vector Optimization Problems and Vector Variational Inequalities [PDF]

In this paper we introduce notions of well-posedness for a vector optimization problem and for a vector variational inequality of differential type, we study their basic properties and we establish the links among them.
Rocca Matteo
core