Results 131 to 140 of about 5,612 (258)
Reinforcement learning with graph neural network (RL-GNN) fusion for real-time financial fraud detection: a context-aware community mining approach. [PDF]
Devi RR, Raja JE, Chin YB.
europepmc +1 more source
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley +1 more source
In this article, I analyze my interviews with Mark (pseudonym), a social scientist who committed major academic fraud in over 50 top‐tier journal articles in the first decade of this century. I explain how stigma played a central role in how Mark and I shaped our interaction. I focus on how Mark, a former Professor and Dean with a distinguished career,
Thaddeus Müller
wiley +1 more source
In the aftermath of the 2020 U.S. election, the boundary between activism and extremism blurred, with election officials reporting violent threats and false accusations of election fraud. From a symbolic interactionist perspective, these attacks provide a unique lens for examining the consequences of being falsely labeled a criminal.
Steven Windisch
wiley +1 more source
Research on a financial fraud identification model by fusing a convolutional neural network. [PDF]
Lu H, Zhu S, Zhang Y, Lv R.
europepmc +1 more source
This publication describes how R. B. Woodward and Roald Hoffmann crafted their masterpiece publications. Illustrations include Woodward's first draft of the famous “Violations There are none. Nor can violations be expected of so fundamental a principle of maximum bonding.” Original but discarded text shows the stepwise paths toward the W‐H masterpieces.
Jeffrey I. Seeman
wiley +1 more source
Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection. [PDF]
Awad SS +3 more
europepmc +1 more source
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
ABSTRACT Small and medium‐sized enterprises (SMEs) face significant institutional barriers when expanding across borders, including regulatory constraints, financial accessibility issues, and market entry challenges. Institutional theory provides a useful framework for understanding how external regulative, normative, and cognitive institutional forces
Sharmin Nahar, Muntasir Alam
wiley +1 more source
A systematic review and future directions for AI-driven detection of fraud patterns in SACCO transactions. [PDF]
Ampumuza D, Katushabe C, Tamale M.
europepmc +1 more source

