Artificial Intelligence Methods for Smart Cities

被引:2
作者
Podda, Alessandro Sebastian [1 ]
Carta, Salvatore [1 ]
Barra, Silvio [2 ]
机构
[1] Univ Cagliari, Dept Math & Comp Sci, Via Osped 72, I-09045 Cagliari, Italy
[2] Univ Naples Federico II, Dept Elect & Informat Technol Engn, Corso Umberto I 140, I-80138 Naples, Italy
关键词
D O I
10.3390/s24082615
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
引用
收藏
页数:5
相关论文
共 22 条
[1]   A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees [J].
Aboah, Armstrong ;
Shoman, Maged ;
Mandal, Vishal ;
Davami, Sayedomidreza ;
Adu-Gyamfi, Yaw ;
Sharma, Anuj .
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021, 2021, :4202-4207
[2]   Anomaly Detection of Breast Cancer Using Deep Learning [J].
Alloqmani, Ahad ;
Abushark, Yoosef B. ;
Khan, Asif Irshad .
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2023, 48 (08) :10977-11002
[3]  
Atzori A, 2021, 2021 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS AND OTHER AFFILIATED EVENTS (PERCOM WORKSHOPS), P154, DOI [10.1109/PerComWorkshops51409.2021.9431052, 10.1109/PERCOMWORKSHOPS51409.2021.9431052]
[4]   SIMCD: SIMulated crowd data for anomaly detection and prediction [J].
Bamaqa, Amna ;
Sedky, Mohamed ;
Bosakowski, Tomasz ;
Bastaki, Benhur Bakhtiari ;
Alshammari, Nasser O. .
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 203
[5]   Event detection in finance using hierarchical clustering algorithms on news and tweets [J].
Carta, Salvatore ;
Consoli, Sergio ;
Piras, Luca ;
Podda, Alessandro Sebastian ;
Recupero, Diego Reforgiato .
PEERJ COMPUTER SCIENCE, 2021,
[6]   Deep Learning for Medical Anomaly Detection - A Survey [J].
Fernando, Tharindu ;
Gammulle, Harshala ;
Denman, Simon ;
Sridharan, Sridha ;
Fookes, Clinton .
ACM COMPUTING SURVEYS, 2021, 54 (07)
[7]  
Herath H, 2022, International Journal of Information Management Data Insights, V2, DOI DOI 10.1016/J.JJIMEI.2022.100076
[8]   An Unsupervised Deep Learning Model for Early Network Traffic Anomaly Detection [J].
Hwang, Ren-Hung ;
Peng, Min-Chun ;
Huang, Chien-Wei ;
Lin, Po-Ching ;
Van-Linh Nguyen .
IEEE ACCESS, 2020, 8 :30387-30399
[9]   A hybrid deep network based approach for crowd anomaly detection [J].
Ilyas, Zirgham ;
Aziz, Zafar ;
Qasim, Tehreem ;
Bhatti, Naeem ;
Hayat, Muhammad Faisal .
MULTIMEDIA TOOLS AND APPLICATIONS, 2021, 80 (16) :24053-24067
[10]   An IoT Enable Anomaly Detection System for Smart City Surveillance [J].
Islam, Muhammad ;
Dukyil, Abdulsalam S. ;
Alyahya, Saleh ;
Habib, Shabana .
SENSORS, 2023, 23 (04)