Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Tamjidul Hoque"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 3, Pp 1818-1839 (2024)
Studying gene regulatory networks (GRNs) is paramount for unraveling the complexities of biological processes and their associated disorders, such as diabetes, cancer, and Alzheimer’s disease. Recent advancements in computational biology have aimed
Externí odkaz:
https://doaj.org/article/27865070abf94a3c8675d7d1e78f8c48
Autor:
Yashwanth Karthik Kumar Mamidi, Tarun Karthik Kumar Mamidi, Md Wasi Ul Kabir, Jiande Wu, Md Tamjidul Hoque, Chindo Hicks
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 4, Pp 1302-1319 (2023)
A critical unmet medical need in prostate cancer (PCa) clinical management centers around distinguishing indolent from aggressive tumors. Traditionally, Gleason grading has been utilized for this purpose. However, tumor classification using Gleason G
Externí odkaz:
https://doaj.org/article/06b7dca811c24b80ac8f504a5026576b
Autor:
Manisha Panta, Padam Jung Thapa, Md Tamjidul Hoque, Kendall N. Niles, Steve Sloan, Maik Flanagin, Ken Pathak, Mahdi Abdelguerfi
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2441 (2024)
Seepage is a typical hydraulic factor that can initiate the breaching process in a levee system. If not identified and treated on time, seepages can be a severe problem for levees, weakening the levee structure and eventually leading to collapse. The
Externí odkaz:
https://doaj.org/article/43069f4516c840a69ebdc64db7c2c0ef
Autor:
Manisha Panta, Md. Tamjidul Hoque, Kendall N. Niles, Joe Tom, Mahdi Abdelguerfi, Maik Falanagin
Publikováno v:
IEEE Access, Vol 11, Pp 126263-126282 (2023)
Sand boils can contribute to the liquefaction of a portion of the levee, leading to levee failure. Accurately detecting and segmenting sand boils is crucial for effectively monitoring and maintaining levee systems. This paper presents SandBoilNet, a
Externí odkaz:
https://doaj.org/article/ff4ad9ec96e64dabbb1196a7f1ecd853
Publikováno v:
IEEE Access, Vol 11, Pp 12249-12262 (2023)
Deep learning has recently been extensively used for crack detection in structural health monitoring settings. However, detecting cracks in levee systems have yet to receive considerable critical attention. Thus, this study presents a novel encoder-d
Externí odkaz:
https://doaj.org/article/3d9d0e1f4d0e4dbcbb395014907846b8
Publikováno v:
IEEE Access, Vol 10, Pp 118409-118418 (2022)
The passive acoustic monitoring of marine mammals is an essential tool for researchers tracking the populations of individual species in threatened environments. Given the large quantity of audio data generated by passive acoustic arrays, it is desir
Externí odkaz:
https://doaj.org/article/155aaa80f8fa4759b375f0d7a35c0b1c
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 4, Iss 1, Pp 105-130 (2022)
To encourage proper employee scheduling for managing crew load, restaurants need accurate sales forecasting. This paper proposes a case study on many machine learning (ML) models using real-world sales data from a mid-sized restaurant. Trendy recurre
Externí odkaz:
https://doaj.org/article/78178a3b609f4240947d821fc1f7f3d2
Publikováno v:
Biology, Vol 12, Iss 7, p 1020 (2023)
Protein molecules show varying degrees of flexibility throughout their three-dimensional structures. The flexibility is determined by the fluctuations in torsion angles, specifically phi (φ) and psi (ψ), which define the protein backbone. These ang
Externí odkaz:
https://doaj.org/article/f2457bfadd6242238584033243838618
Autor:
Manish Bhatt, Avdesh Mishra, Md Wasi Ul Kabir, S. E. Blake-Gatto, Rishav Rajendra, Md Tamjidul Hoque, Irfan Ahmed
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 2, Iss 3, Pp 216-232 (2020)
File fragment classification is an essential problem in digital forensics. Although several attempts had been made to solve this challenging problem, a general solution has not been found. In this work, we propose a hierarchical machine-learning-base
Externí odkaz:
https://doaj.org/article/6122b7c51b0c4577a636b3b51fef8176
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 2, Iss 2, Pp 56-77 (2020)
Brain hemorrhage is a type of stroke which is caused by a ruptured artery, resulting in localized bleeding in or around the brain tissues. Among a variety of imaging tests, a computerized tomography (CT) scan of the brain enables the accurate detecti
Externí odkaz:
https://doaj.org/article/f1ef509a9d82422fa003e1293b1a242e