Leveraging transfer learning with deep learning for crime prediction

Leveraging transfer learning with deep learning for crime prediction

Crime remains a crucial concern regarding ensuring a safe and secure environment for the public. Numerous efforts have been made to predict crime, emphasizing the importance of employing deep learning approaches for precise predictions. However, sufficient crime data and resources for training state...

Full description

Bibliographic Details
Main Authors:	Butt, Umair Muneer, Letchmunan, Sukumar, Hassan, Fadratul Hafinaz, Koh, Tieng Wei
Format:	Article
Published:	Public Library of Science 2024

Similar Items

Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy
by: Butt, Umair Muneer, et al.
Published: (2022)

Leveraging transfer learning for spatio-temporal human activity recognition from video sequences
by: Muneer Butt, Umair, et al.
Published: (2023)

Spatio-temporal crime predictions by leveraging artificial intelligence for citizens security in smart cities
by: Butt, Umair Muneer, et al.
Published: (2021)

Usability measurement of Malaysian online tourism websites
by: Vatankhah, Najmeh, et al.
Published: (2014)

Software quality: predicting reliability of a software using decision tree
by: Shakiru, Ayanloye O., et al.
Published: (2014)

Leveraging deep learning for visual understanding of videos
by: Tan, Clement Xian Ren
Published: (2024)

Leveraging Engineering Expertise in Deep Reinforcement Learning
by: Ackerman, Liam J.
Published: (2023)

Spatial layout design factors during panic situations
by: Ibrahim, Najihah, et al.
Published: (2017)

Leveraging deep learning techniques to secure software development
by: Siow, Jing Kai
Published: (2022)

Deep transfer learning on continual learning
by: Sousa Leite de Carvalho, Marcus Vinicius
Published: (2023)

Transfer learning through deep learning
by: Lee, Rhui Dih
Published: (2018)

Computer crime on the Internet : lessons learned and re-learned
by: Choong, Calvin Tze Wei.
Published: (2010)

A study on classification learning algorithms to predict crime status.
by: Shojaee, Somayeh, et al.
Published: (2013)

Leveraging the Sensitivity of Plants with Deep Learning to Recognize Human Emotions
by: Kruse, Jakob Adrian, et al.
Published: (2024)

Leveraging machine learning to predict playcalling tendencies in the NFL
by: Goyal, Udgam.
Published: (2021)

Learning to Detect Patterns of Crime
by: Wang, Tong, et al.
Published: (2013)

Deep transfer metric learning
by: Hu, Junlin, et al.
Published: (2016)

Edge assisted crime prediction and evaluation framework for machine learning algorithms
by: Adhikary, Apurba, et al.
Published: (2022)

Leveraging deep generative models for non-parametric distributions in reinforcement learning
by: Tang, Shi Yuan
Published: (2024)

Leveraging on learning centres
by: The, Star
Published: (2014)

Machine learning techniques for software bug prediction: a systematic review
by: Saharudin, Syahana Nur’Ain, et al.
Published: (2020)

Deep learning for style and domain transfer
by: Ni, Anqi
Published: (2022)

Embedded learning for leveraging multi-aspect in rating prediction of personalized recommendation
by: Khairudin, Nurkhairizan, et al.
Published: (2018)

Leveraging the learning process in manufacturing
by: Ingle, Timothy H. (Timothy Hardin)
Published: (2005)

AI-Enabled Deep Learning Model for COVID-19 Identification Leveraging Internet of Things
by: Mohd Arfian, Ismail, et al.
Published: (2023)

AI techniques in CFD: leveraging physical priors with deep learning to improve on numerical solvers
by: Jessica, Loh Sher En
Published: (2025)

Grounding Language for Transfer in Deep Reinforcement Learning
by: Narasimhan, Karthik Rajagopal, et al.
Published: (2022)

Grounding Language for Transfer in Deep Reinforcement Learning
by: Narasimhan, Karthik, et al.
Published: (2021)

Deep learning approaches for traffic prediction
by: Shao, Hongxin
Published: (2020)

Improving deep reinforcement learning with advanced exploration and transfer learning techniques
by: Yin, Haiyan
Published: (2020)

Transfer learning for predictive models in MOOCs
by: Boyer, Sebastien (Sebastien Arcario)
Published: (2016)

Leveraging learning through technological fluency
by: Cavallo, David Paul
Published: (2011)

Diversity-based test case prioritization technique to improve faults detection rate
by: Nuh, Jamal Abdullahi, et al.
Published: (2023)

Cellular automata model for pedestrian evacuation in fire spreading conditions
by: Alidmat, Omar Khair Alla, et al.
Published: (2015)

Two-dimensional cellular automation model to simulate pedestrian evacuation under fire-spreading conditions
by: Alidmat, Omar Khair Alla, et al.
Published: (2016)

Two-Dimensional Cellular Automaton Model to Simulate Pedestrian Evacuation Under Fire-Spreading Conditions
by: Alidmat, Omar Khair Alla, et al.
Published: (2016)

Ornament because of crime : learning from Mafia Baroque
by: Angelov, Borislav(Borislav L.)
Published: (2019)

Classification of brain tumors: using deep transfer learning
by: Husin, Nor Azura, et al.
Published: (2023)

Housing price prediction using deep learning
by: Song, Yutong
Published: (2022)

Predicting genomic interactions using deep learning
by: Syed, Tahin Fahmid.
Published: (2019)