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Results for “"Nahid Ferdous Aurna"”

5 results

A classification of MRI brain tumor based on two stage feature level ensemble of deep CNN models

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Nahid Ferdous Aurna, Mohammad Abu Yousuf, Kazi Abu Taher, AKM Azad et al.

Journal: Computers in Biology and MedicineYear: 2022Citations: 192

The brain tumor is one of the deadliest cancerous diseases and its severity has turned it to the leading cause of cancer related mortality. The treatment procedure of the brain tumor depends on the type, location and size of the tumor. Relying solely on human inspection for precise categorization ca...

Life SciencesNeuroscienceNeurology
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Machine learning and internet of things in industry 4.0: A review

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Md. Sazzadur Rahman, Tapotosh Ghosh, Nahid Ferdous Aurna, M. Shamim Kaiser et al.

Journal: Measurement SensorsYear: 2023Citations: 80

Machine learning (ML), sensors networks, and Internet of Things (IoT) are the most important contributor in the newest revolution in the industry. It is going towards a fully automated industrial environment where all the components including post production, pre production, supply chain and quality...

Physical SciencesEngineeringIndustrial and Manufacturing EngineeringOpen Access
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Multi-Classification of Brain Tumors via Feature Level Ensemble of Convolutional Neural Networks

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Nahid Ferdous Aurna, Mohammad Abu Yousuf, Kazi Abu Taher

Year: 2021Citations: 19

The brain tumor is considered to be one of the deadliest diseases that can lead to cancer. Early and appropriate diagnosis can prevent its heinous consequences which are not often possible by solely depending on the manual detection process. A substantial result can be achieved using Convolutional N...

Life SciencesNeuroscienceNeurology
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Time series analysis of electric energy consumption using autoregressive integrated moving average model and Holt Winters model

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Nahid Ferdous Aurna, Md. Tanjil Mostafa Rubel, Tanveer Ahmed Siddiqui, Tajbia Karim et al.

Journal: TELKOMNIKA (Telecommunication Computing Electronics and Control)Year: 2021Citations: 15

With the increasing demand of energy, the energy production is not that much sufficient and that's why it has become an important issue to make accurate prediction of energy consumption for efficient management of energy. Hence appropriate demand side forecasting has a great economical worth. Object...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Predicting Periodic Energy Saving Pattern of Continuous IoT Based Transmission Data Using Machine Learning Model

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Nahid Ferdous Aurna, Faria Shahjahan Anika, Md. Tanjil Mostafa Rubel, K. Habibul Kabir et al.

Year: 2021Citations: 3

The emerging applications of the Internet of Things (IoT) in various sectors generate a gigantic amount of continuous time-series data. As IoT based sensors nodes are very energy-constrained devices, continuous transmission of huge amounts of sensor data from IoT nodes is challenging but inevitable....

Physical SciencesEngineeringElectrical and Electronic Engineering
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