AI-Driven Risk Management: Exploring Machine Learning Techniques and Privacy Challenges in Smart Cities

被引：0

作者：

Kokkinidis, Konstantinos-Iraklis ^{[1
]}

Chatzipoulidis, Aristeidis ^{[2
]}

机构：

[1] Univ Macedonia, Dept Appl Informat, Thessaloniki, Greece

[2] LRQA, Thessaloniki, Greece

来源：

2024 13TH INTERNATIONAL CONFERENCE ON MODERN CIRCUITS AND SYSTEMS TECHNOLOGIES, MOCAST 2024 | 2024年

关键词：

Artificial Intelligence; Risk Management; Cybersecurity; Human-Computer Interaction (HCI); Smart City;

D O I：

10.1109/MOCAST61810.2024.10615528

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper is a research review that delves into the realm of machine learning techniques for risk management, focusing on the intricate interplay between wireless networks and the burgeoning paradigm of smart cities. As the digital ecosystem continues to expand, encompassing diverse domains such as mobile networks, vehicular communication, and energy-efficient protocols, the need for robust risk management strategies has become increasingly imperative.

引用

页数：4

共 50 条

[21] Analysis of Challenges and Solutions of IoT in Smart Grids Using AI and Machine Learning Techniques: A Review
Mazhar, Tehseen
Irfan, Hafiz Muhammad
Haq, Inayatul
Ullah, Inam
Ashraf, Madiha
Shloul, Tamara Al
Ghadi, Yazeed Yasin
Imran
Elkamchouchi, Dalia H.
ELECTRONICS, 2023, 12 (01)
[22] NotiSummary: Exploring the Potential of AI-Driven Text Summarization on Smartphone Notification Management
Wang, Peng-Jui
Lee, Yi-Chi
Chen, Uei-Dar
Chang, Yung-Ju
ADJUNCT PROCEEDINGS OF THE 2023 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING & THE 2023 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTING, UBICOMP/ISWC 2023 ADJUNCT, 2023, : 113 - 117
[23] Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems
Adewopo, Victor
Elsayed, Nelly
Elsayed, Zag
Ozer, Murat
Zekios, Constantinos L.
Abdelgawad, Ahmed
Bayoumi, Magdy
2024 IEEE 3RD INTERNATIONAL CONFERENCE ON COMPUTING AND MACHINE INTELLIGENCE, ICMI 2024, 2024,
[24] Big Data and Deep Learning in Smart Cities: A Comprehensive Dataset for AI-Driven Traffic Accident Detection and Computer Vision Systems
Adewopo, Victor
Elsayed, Nelly
Elsayed, Zag
Ozer, Murat
Zekios, Constantinos L.
Abdelgawad, Ahmed
Bayoumi, Magdy
SOUTHEASTCON 2024, 2024, : 675 - 680
[25] An Exploration of the Applications, Challenges, and Success Factors in AI-Driven Product Development and Management
Witkowski, Aron
Wodecki, Andrzej
FOUNDATIONS OF MANAGEMENT, 2024, 16 (01) : 139 - 156
[26] Braid-DB: Toward AI-Driven Science with Machine Learning Provenance
Wozniak, Justin M.
Liu, Zhengchun
Vescovi, Rafael
Chard, Ryan
Nicolae, Bogdan
Foster, Ian
DRIVING SCIENTIFIC AND ENGINEERING DISCOVERIES THROUGH THE INTEGRATION OF EXPERIMENT, BIG DATA, AND MODELING AND SIMULATION, 2022, 1512 : 247 - 261
[27] AI-Driven Construction and Application of Gardens: Optimizing Design and Sustainability with Machine Learning
Wang, Jingyi
Song, Yan
Yang, Haozhong
Li, Han
Zhou, Minglan
INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2025, 16 (02) : 1231 - 1239
[28] Exploring Machine Learning techniques for Smart Drainage System
Chen, Changhua
Pang, Yan
2019 IEEE FIFTH INTERNATIONAL CONFERENCE ON BIG DATA COMPUTING SERVICE AND APPLICATIONS (IEEE BIGDATASERVICE 2019), 2019, : 63 - 70
[29] AI-driven canine cataract detection: a machine learning approach using support vector machine
Jones, Aida
Vijayan, Thulasi Bai
JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2025, 48 (01) : 94 - 102
[30] The machine learning framework for traffic management in smart cities
Tiwari, Pulkit
MANAGEMENT OF ENVIRONMENTAL QUALITY, 2024, 35 (02) : 445 - 462

← 1 2 3 4 5 →