Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Sukumar Letchmunan"'
Publikováno v:
Alexandria Engineering Journal, Vol 96, Iss , Pp 42-57 (2024)
The applications of clustering in biomedical is pervasive and ubiquitous. A typical example is gene expression data analysis, where clustering is emerging as a powerful solution for uncovering cancer-related insights. Neutrosophic c-means (NCM) clust
Externí odkaz:
https://doaj.org/article/44636dd8a94b4926a637a7be264fcf65
Publikováno v:
IEEE Access, Vol 12, Pp 104629-104642 (2024)
Dempster-Shafer evidence theory (DSET) stands out as a mathematical model for handling imperfect data, garnering significant interest across various domains. However, a notable limitation of DSET is Dempster’s rule, which can lead to counterintuiti
Externí odkaz:
https://doaj.org/article/574195d7125d444490d697f655a8b3b1
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
Autor:
Zhe Liu, Sukumar Letchmunan
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 1, Pp 101904- (2024)
Uncertainty and imprecision accompany the world we live in and occur in almost every event. How to better interpret and manage uncertainty and imprecision play a vital role in machine learning (ML). As an effective tool for modeling imperfection, the
Externí odkaz:
https://doaj.org/article/749f371f13d746278b4fa3611101af0f
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
Autor:
Hadiqa Aman Ullah, Sukumar Letchmunan, M. Sultan Zia, Umair Muneer Butt, Fadratul Hafinaz Hassan
Publikováno v:
IEEE Access, Vol 9, Pp 126366-126387 (2021)
From the past few decades, Human activity recognition (HAR) is one of the vital research areas in computer vision in which much research is ongoing. The researcher’s focus is shifting towards this area due to its vast range of real-life application
Externí odkaz:
https://doaj.org/article/ab231162e3c441af9fcb083ade461d0e
Autor:
Umair Muneer Butt, Sukumar Letchmunan, Fadratul Hafinaz Hassan, Mubashir Ali, Anees Baqir, Hafiz Husnain Raza Sherazi
Publikováno v:
IEEE Access, Vol 8, Pp 166553-166574 (2020)
The primary objective of this study is to accumulate, summarize, and evaluate the state-of-the-art for spatio-temporal crime hotspot detection and prediction techniques by conducting a systematic literature review (SLR). The authors were unable to fi
Externí odkaz:
https://doaj.org/article/77ba1faff0e44a73bb32f4d712dfa84f
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
Publikováno v:
Agronomy, Vol 11, Iss 8, p 1551 (2021)
Agricultural advancements have significantly impacted people’s lives and their surroundings in recent years. The insufficient knowledge of the whole agricultural production system and conventional ways of irrigation have limited agricultural yields
Externí odkaz:
https://doaj.org/article/54bcbce3c3a74baea16f9fdb5d960e96
Publikováno v:
Journal of ICT Research and Applications, Vol 10, Iss 1, Pp 76-93 (2016)
With the expansion and acceptance of Word Wide Web, sentiment analysis has become progressively popular research area in information retrieval and web data analysis. Due to the huge amount of user-generated contents over blogs, forums, social media,
Externí odkaz:
https://doaj.org/article/19f5e4f89d354ae1b60f71b6b968c444