Cyber security in smart cities: a review of deep learning-based applications and case studies
D Chen, P Wawrzynski, Z Lv - Sustainable Cities and Society, 2021 - Elsevier
On the one hand, smart cities have brought about various changes, aiming to revolutionize
people's lives. On the other hand, while smart cities bring better life experiences and great …
people's lives. On the other hand, while smart cities bring better life experiences and great …
Online Payment Fraud Detection for Big Data
SD Tawde, S Arora, YS Thakur - International Conference on Distributed …, 2024 - Springer
Modern economic life is now greatly facilitated by online payment systems, which allow for
seamless financial transactions. However, the risk of online payment fraud has greatly …
seamless financial transactions. However, the risk of online payment fraud has greatly …
دراسة أثر البيانات الضخمة في تفعيل الإطار الفكري المشترك بين FASB/IASB (دراسة تطبيقية)
ابوزيد, عمر محمد عبدالرحيم احمد, أبو المعاطي… - مجلة البحوث الإدارية …, 2024 - journals.ekb.eg
استهدف البحث دراسة أثر البيانات الضخمة على تفعيل الإطار الفكري المشترك لـ FASB/IASB، وقد
ناقش البحث تحليل البيانات الضخمة كمرتكز لتفعيل الإطار الفكري المشترك بين الـ IASB …
ناقش البحث تحليل البيانات الضخمة كمرتكز لتفعيل الإطار الفكري المشترك بين الـ IASB …
[PDF][PDF] SEMI-SUPERVISED LEARNING FOR IMBALANCED CLASSIFICATION WITH LABEL SCARCITY IN THE DOMAIN OF FINANCIAL FRAUD DETECTION
L VAN SON - arno.uvt.nl
The application of statistical methods for financial fraud detection often appears to be
hampered by label scarcity and existing class imbalance within the utilized dataset. Now …
hampered by label scarcity and existing class imbalance within the utilized dataset. Now …