Sage Journals: Discover world-class research

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Research article

First published 2019-05-14

An intelligent system to detect human suspicious activity using deep neural networks

Sumalatha Ramachandran, Lakshmi Harika Palivela

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2024-11-18

Deep learning-based video surveillance system for suspicious activity detection

Mohd Hanief Wani, Arman Rasool Faridi

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Open access

Research article

First published 2014-11

A novel lung nodules detection scheme based on vessel segmentation on CT images

Tong Jia, Hao Zhang, Haixiu Meng

Bio-Medical Materials and Engineering

Free access

Research article

First published 2021-3-9

Video representation and suspicious event detection using semantic technologies

Ashish Singh Patel, Giovanni Merlino, Dario Bruneo [...]

Semantic Web: – Interoperability,Usability,Applicability

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Research article

First published 2025-6

Natural Language Processing for Sentiment Analysis in Social Media Posts to Identify Suspicious Behaviour

Gagandeep, Jyoti Verma

Abhigyan

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Research article

First published 2023-11

Analysis and comparison of various deep learning models to implement suspicious activity recognition in CCTV surveillance

Dhruv Saluja, Harsh Kukreja, Akash Saini [...]

Intelligent Decision Technologies

Open access

Research article

First published 2023-5

Detecting dodgy behaviour: The role of autism,autistic traits and theory of mind

Neil Brewer, Carmen A Lucas, Alliyza Lim [...]

Autism

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Research article

First published 2008-3

Scalable and Interactive Visual Analysis of Financial Wire Transactions for Fraud Detection

Remco Chang, Alvin Lee, Mohammad Ghoniem [...]

Information Visualization

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Other

First published 2002-12

Following the Dirty Money: Does Bank Reporting of Suspicious Activity Pose a Threat to Drug Dealers?

Joseph F. Benning

Criminal Justice Policy Review

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Research article

First published 2015-1

Scalable anomaly detection in graphs

William Eberle, Lawrence Holder

Intelligent Data Analysis: An International Journal

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