Zobrazeno 1 - 10
of 191
pro vyhledávání: '"Ashfaqur Rahman"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Fairness in machine learning (ML) emerges as a critical concern as AI systems increasingly influence diverse aspects of society, from healthcare decisions to legal judgments. Many studies show evidence of unfair ML outcomes. However, the cur
Externí odkaz:
https://doaj.org/article/3f1d474d354c4171a6b390e2b82475cc
Publikováno v:
IEEE Access, Vol 12, Pp 150325-150333 (2024)
Deep learning models have proven remarkably adept at extracting salient features from raw data, driving state-of-the-art performance across many domains. However, these models suffer from a lack of interpretability; they function as black boxes, obsc
Externí odkaz:
https://doaj.org/article/cf1539c54079495ca63c6f3ba85d8e76
Publikováno v:
Information Processing in Agriculture, Vol 7, Iss 2, Pp 307-317 (2020)
In this paper we have presented a novel approach to predict dissolved oxygen in prawn ponds. It is necessary to maintain dissolved oxygen above a certain level in the ponds for expected growth and survival of the prawns. An accurate prediction of dis
Externí odkaz:
https://doaj.org/article/d933d40f3a264de4ae07712f30192feb
Publikováno v:
Renewables: Wind, Water, and Solar, Vol 4, Iss 1, Pp 1-11 (2017)
Abstract Successful integration of renewable energy sources like wind power into smart grids largely depends on accurate prediction of power from these intermittent sources. Production of wind power cannot be controlled as the wind speed can vary bas
Externí odkaz:
https://doaj.org/article/ddb334626ed840e793571681fbe5b33a
Publikováno v:
Information Processing in Agriculture, Vol 1, Iss 1, Pp 42-50 (2014)
Shellfish farms are closed for harvest when microbial pollutants are present. Such pollutants are typically present in rainfall runoff from various land uses in catchments. Experts currently use a number of observable parameters (river flow, rainfall
Externí odkaz:
https://doaj.org/article/5b0668e8c88a4e6c953fbeaa07347363
Autor:
Akhlaqur Rahman, Jiong Jin, Antonio Cricenti, Ashfaqur Rahman, Marimuthu Palaniswami, Tie Luo
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 5, Iss 4, p 20 (2016)
Cloud robotics in smart cities is an emerging paradigm that enables autonomous robotic agents to communicate and collaborate with a cloud computing infrastructure. It complements the Internet of Things (IoT) by creating an expanded network where robo
Externí odkaz:
https://doaj.org/article/781bb4eccf7e4c52928679de63e6ff55
Autor:
Ashfaqur Rahman
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 6, Iss 6 (2013)
In this paper we present a novel approach to produce benthic habitat maps from sea floor images in Derwent estuary. We have developed a step–by–step segmentation method to separate sea–grass, sand, and rock from the sea floor image. The sea–g
Externí odkaz:
https://doaj.org/article/0863f3805ff54aa4835eb63a54131c75
Autor:
Ashfaqur Rahman, Manzur Murshed
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 2, Iss 1 (2009)
Feature weighing methods are commonly used to find the relative significance among a set of features that are effectively used by the retrieval methods to search image sequences efficiently from large databases. As evidenced in the current literature
Externí odkaz:
https://doaj.org/article/f0b7d323edd6487181277cc08250d8ed
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 1, Iss 4 (2008)
Computing object distance using image processing is an important research area in the field of computer vision and robot navigation applications. In this paper we have proposed a new method to compute the distance of an object using a single image. A
Externí odkaz:
https://doaj.org/article/cd5c2bb0cbd24fd586ca644e846411f2
Publikováno v:
IEEE Transactions on Network Science and Engineering. 9:3979-3990
Cloud-aided robots are increasingly adopted in realizing Cyber-Physical-Social System (CPSS) to reduce human efforts and enhance the system performance with diverse robotic applications. However, the multi-hop distance from robot to cloud data centre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18764b32ae20f8868478eefe3e1a304d
https://doi.org/10.1109/tnse.2021.3103602
https://doi.org/10.1109/tnse.2021.3103602