Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Sakib, Shadman"'
Autor:
Khan, Mohammad Mahmudur Rahman, Siddique, Md. Abu Bakr, Sakib, Shadman, Aziz, Anas, Tasawar, Ihtyaz Kader, Hossain, Ziad
Publikováno v:
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
Temperature and rainfall have a significant impact on economic growth as well as the outbreak of seasonal diseases in a region. In spite of that inadequate studies have been carried out for analyzing the weather pattern of Bangladesh implementing the
Externí odkaz:
http://arxiv.org/abs/2010.11946
Autor:
Khan, Mohammad Mahmudur Rahman, Siddique, Md. Abu Bakr, Sakib, Shadman, Aziz, Anas, Tanzeem, Abyaz Kader, Hossain, Ziad
Publikováno v:
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
The classification of the electrocardiogram (ECG) signal has a vital impact on identifying heart-related diseases. This can ensure the premature finding of heart disease and the proper selection of the patient's customized treatment. However, the det
Externí odkaz:
http://arxiv.org/abs/2010.04086
Autor:
Siddique, Md. Abu Bakr, Sakib, Shadman, Khan, Mohammad Mahmudur Rahman, Tanzeem, Abyaz Kader, Chowdhury, Madiha, Yasmin, Nowrin
Publikováno v:
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
Diagnosing Brain Tumor with the aid of Magnetic Resonance Imaging (MRI) has gained enormous prominence over the years, primarily in the field of medical science. Detection and/or partitioning of brain tumors solely with the aid of MR imaging is achie
Externí odkaz:
http://arxiv.org/abs/2010.11978
Publikováno v:
2020 IEEE Region 10 Symposium (TENSYMP)
The central goal of this paper is to establish two commonly available dimensionality reduction (DR) methods i.e. t-distributed Stochastic Neighbor Embedding (t-SNE) and Multidimensional Scaling (MDS) in Matlab and to observe their application in seve
Externí odkaz:
http://arxiv.org/abs/2007.13487
Publikováno v:
2019 2nd International Conference on Innovation in Engineering and Technology (ICIET)
The central aim of this paper is to implement Deep Autoencoder and Neighborhood Components Analysis (NCA) dimensionality reduction methods in Matlab and to observe the application of these algorithms on nine unlike datasets from UCI machine learning
Externí odkaz:
http://arxiv.org/abs/1912.05912
Publikováno v:
2019 2nd International Conference on Innovation in Engineering and Technology (ICIET)
Non-Intrusive Load Monitoring (NILM) is the method of detecting an individual device's energy signal from an aggregated energy consumption signature [1]. As existing energy meters provide very little to no information regarding the energy consumption
Externí odkaz:
http://arxiv.org/abs/1911.13257
Publikováno v:
2019 5th International Conference on Advances in Electrical Engineering (ICAEE)
In recent times, with the increase of Artificial Neural Network (ANN), deep learning has brought a dramatic twist in the field of machine learning by making it more artificially intelligent. Deep learning is remarkably used in vast ranges of fields b
Externí odkaz:
http://arxiv.org/abs/1909.08490
Fruit recognition using Deep Convolutional Neural Network (CNN) is one of the most promising applications in computer vision. In recent times, deep learning based classifications are making it possible to recognize fruits from images. However, fruit
Externí odkaz:
http://arxiv.org/abs/1904.00783
Autor:
Sakib, Shadman, Siddique, Md. Abu Bakr
Tissue classification is one of the significant tasks in the field of biomedical image analysis. Magnetic Resonance Imaging (MRI) is of great importance in tissue classification especially in the areas of brain tissue classification which is able to
Externí odkaz:
http://arxiv.org/abs/1902.11131
Autor:
Sakib, Shadman, Siddique, Md. Abu Bakr
Publikováno v:
2019 5th International Conference on Advances in Electrical Engineering (ICAEE)
This paper proposes the implementation of a circuit based simulation for a Solar Photovoltaic (PV) cell in order to get the maximum power output. The model is established based on the mathematical model of the PV module. As the PV cell is used to det
Externí odkaz:
http://arxiv.org/abs/1903.10308