Výsledky vyhledávání - "Tieng Wei Koh"

Akademický článek

A Systematic Literature Review of Deep Learning Approaches for Sketch-Based Image Retrieval: Datasets, Metrics, and Future Directions

Autor: Fan Yang, Nor Azman Ismail, Yee Yong Pang, Victor R. Kebande, Arafat Al-Dhaqm, Tieng Wei Koh

Publikováno v: IEEE Access, Vol 12, Pp 14847-14869 (2024)

Sketch-based image retrieval (SBIR) utilizes sketches to search for images containing similar objects or scenes. Due to the proliferation of touch-screen devices, sketching has become more accessible and therefore has received increasing attention. D

Externí odkaz: https://doaj.org/article/034040229ecb4ba4b9715fc17f6766c5

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Akademický článek

Leveraging transfer learning with deep learning for crime prediction.

Autor: Umair Muneer Butt, Sukumar Letchmunan, Fadratul Hafinaz Hassan, Tieng Wei Koh

Publikováno v: PLoS ONE, Vol 19, Iss 4, p e0296486 (2024)

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, suff

Externí odkaz: https://doaj.org/article/2afc460c796d4c19b13314d9a86a78e0

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Akademický článek

Spatio-Temporal Crime Predictions by Leveraging Artificial Intelligence for Citizens Security in Smart Cities

Autor: Umair Muneer Butt, Sukumar Letchmunan, Fadratul Hafinaz Hassan, Mubashir Ali, Anees Baqir, Tieng Wei Koh, Hafiz Husnain Raza Sherazi

Publikováno v: IEEE Access, Vol 9, Pp 47516-47529 (2021)

Smart city infrastructure has a significant impact on improving the quality of humans life. However, a substantial increase in the urban population from the last few years poses challenges related to resource management, safety, and security. To ensu

Externí odkaz: https://doaj.org/article/af92e213edcf43b2a29bfe28e5cc6343

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Akademický článek

Hybrid of deep learning and exponential smoothing for enhancing crime forecasting accuracy.

Autor: Umair Muneer Butt, Sukumar Letchmunan, Fadratul Hafinaz Hassan, Tieng Wei Koh

Publikováno v: PLoS ONE, Vol 17, Iss 9, p e0274172 (2022)

The continued urbanization poses several challenges for law enforcement agencies to ensure a safe and secure environment. Countries are spending a substantial amount of their budgets to control and prevent crime. However, limited efforts have been ma

Externí odkaz: https://doaj.org/article/6d73d3db17f34451aaa5b3e9f6e2cabf

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Akademický článek

Performance Evaluation Metrics for Multi-Objective Evolutionary Algorithms in Search-Based Software Engineering: Systematic Literature Review

Autor: Jamal Abdullahi Nuh, Tieng Wei Koh, Salmi Baharom, Mohd Hafeez Osman, Si Na Kew

Publikováno v: Applied Sciences, Vol 11, Iss 7, p 3117 (2021)

Many recent studies have shown that various multi-objective evolutionary algorithms have been widely applied in the field of search-based software engineering (SBSE) for optimal solutions. Most of them either focused on solving newly re-formulated pr

Externí odkaz: https://doaj.org/article/ad3bfa2174d54e77bd52b55eaf77471b

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