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Results for “"Umme Sara"”

16+ results

Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study

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Umme Sara, Morium Akter, Mohammad Shorif Uddin

Journal: Journal of Computer and CommunicationsYear: 2019Citations: 1600

Quality is a very important parameter for all objects and their functionalities. In image-based object recognition, image quality is a prime criterion. For authentic image quality evaluation, ground truth is required. But in practice, it is very difficult to find the ground truth. Usually, image qua...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Numerical simulation of periodic MHD casson nanofluid flow through porous stretching sheet

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Abdullah Al‐Mamun, S. M. Arifuzzaman, Sk. Reza‐E‐Rabbi, Umme Sara Alam et al.

Journal: SN Applied SciencesYear: 2021Citations: 64

Abstract The perspective of this paper is to characterize a Casson type of Non-Newtonian fluid flow through heat as well as mass conduction towards a stretching surface with thermophoresis and radiation absorption impacts in association with periodic hydromagnetic effect. Here heat absorption is als...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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On the Integration of Blockchain and SDN: Overview, Applications, and Future Perspectives

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Anichur Rahman, Antonio Montieri, Dipanjali Kundu, Md. Razaul Karim et al.

Journal: Journal of Network and Systems ManagementYear: 2022Citations: 56

Abstract Blockchain (BC) and software-defined networking (SDN) are leading technologies which have recently found applications in several network-related scenarios and have consequently experienced a growing interest in the research community. Indeed, current networks connect a massive number of obj...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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A Machine Learning Approach to Detect the Brain Stroke Disease

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Bonna Akter, Aditya Rajbongshi, Sadia Sazzad, Rashiduzzaman Shakil et al.

Journal: 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT)Year: 2022Citations: 54

The brain, which comprises the cerebrum, cere-bellum, and brainstem and is covered by the skull, is a very complex and intriguing organ in the human body. Stroke is the world's second-leading cause of mortality; as a result, it requires prompt treatment to avoid brain damage. Early detection of a br...

Health SciencesHealth ProfessionsHealth Information Management
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A comprehensive guava leaves and fruits dataset for guava disease recognition

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Aditya Rajbongshi, Sadia Sazzad, Rashiduzzaman Shakil, Bonna Akter et al.

Journal: Data in BriefYear: 2022Citations: 43

Guava (Psidium guajava) is a delicious fruit native to Mexico, Central or South America, and the Caribbean region. It's high in vitamin C, Calcium, Pectins and is a good source of fiber. Due to concerns with natural and environmental resources, technical issues, and other impediments, the production...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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DistB-SDoIndustry: Enhancing Security in Industry 4.0 Services based on Distributed Blockchain through Software Defined Networking-IoT Enabled Architecture

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Anichur Rahman, Umme Sara, Dipanjali Kundu, Saiful Islam et al.

Journal: International Journal of Advanced Computer Science and ApplicationsYear: 2020Citations: 40

The concept of Industry 4.0 is a newly emerging focus of research throughout the world. However, it has lots of challenges to control data, and it can be addressed with various technologies like Internet of Things (IoT), Big Data, Artificial Intelligence (AI), Software Defined Networking (SDN), and ...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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SGBBA: An Efficient Method for Prediction System in Machine Learning using Imbalance Dataset

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Saiful Islam, Umme Sara, Abu Kawsar, Anichur Rahman et al.

Journal: International Journal of Advanced Computer Science and ApplicationsYear: 2021Citations: 37

A real world big dataset with disproportionate classification is called imbalance dataset which badly impacts the predictive result of machine learning classification algorithms. Most of the datasets faces the class imbalance problem in machine learning. Most of the algorithms in machine learning wo...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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An extensive sunflower dataset representation for successful identification and classification of sunflower diseases

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Umme Sara, Aditya Rajbongshi, Rashiduzzaman Shakil, Bonna Akter et al.

Journal: Data in BriefYear: 2022Citations: 36

Sunflowers are agricultural seed crops that can be used for essential edible oils and ornamental purposes. This cash crop is primarily cultivated in North and South America. Sunflower crops are prone to various diseases, insects, and nematodes, resulting in a wide range of production losses. Digital...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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VegNet: An organized dataset of cauliflower disease for a sustainable agro-based automation system

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Umme Sara, Aditya Rajbongshi, Rashiduzzaman Shakil, Bonna Akter et al.

Journal: Data in BriefYear: 2022Citations: 20

Cauliflower, a winter seasoned vegetable that originated in the Mediterranean region and arrived in Europe at the end of the 15th century, takes the lead in production among all vegetables. It's high in fiber and can keep us hydrated, and have medicinal properties like the chemical glucosinolates, w...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Oral bait preferences and feasibility of oral rabies vaccination in Bangladeshi dogs

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Jesse Bonwitt, Sarah Bonaparte, Jesse D. Blanton, Andrew D. Gibson et al.

Journal: VaccineYear: 2020Citations: 19

Oral rabies vaccination (ORV) can increase rabies vaccination coverage among dogs that are inaccessible to parenteral vaccination (i.e., inaccessible dogs). Because bait uptake can differ according to the bait attractant used and dog characteristics, we evaluated proportion of bait uptake and time t...

Life SciencesImmunology and MicrobiologyVirologyOpen Access
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Automated Skin Cancer Classification and Detection Using Convolutional Neural Networks and Dermoscopy Images

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Umme Sara, Utpol Kanti Das, Juel Sikder, Sudipta Roy Chowdhury

Journal: Procedia Computer ScienceYear: 2025Citations: 9

The uncontrolled growth of skin cells in the epidermis producing the creation of a mass termed a tumor is a dangerous condition known as skin cancer. Current developments in deep learning artificial intelligence have greatly improved image-based diagnosis. In this study, we included a Skin Lesion Ca...

Health SciencesMedicineOncologyOpen Access
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Utilization of Five-Distinct Dataset to Diagnose and Predict Heart Disease: A Machine Learning Approach

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Bonna Akter, Rashiduzzaman Shakil, Aditya Rajbongshi, Umme Sara et al.

Journal: 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)Year: 2022Citations: 9

The heart is a finely-tuned instrument that serves the whole body. Heart disease is the most common serious illness affecting human nature. Early diagnosis of heart disease is the most important for reducing mortality and minimizing heart disease-related complications. Manual identification of heart...

Health SciencesHealth ProfessionsHealth Information Management
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A Transfer Learning Approach to the Development of an Automation System for Recognizing Guava Disease Using CNN Models for Feasible Fruit Production

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Rashiduzzaman Shakil, Bonna Akter, Aditya Rajbongshi, Umme Sara et al.

Journal: Lecture notes in networks and systemsYear: 2023Citations: 8
Life SciencesAgricultural and Biological SciencesPlant Science
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Enhancing sentiment analysis accuracy on social media comments using a tuned BERT model

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Utpol Kanti Das, R. Ani, Nippon Datta, Iftikharul Fahad et al.

Journal: Discover ComputingYear: 2025Citations: 6

Sentiment analysis of social media comments is essential for real-time comprehension of user input and public opinion. To facilitate finding relevant news and views on social networks, this study proposes a model that categorizes search results by classifying sentiments in social comments and news a...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Towards the development of an energy-efficient smart home through IoT

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Mohammad Reduanul Haque, Shifat Jaman, Md. Golam Saklayen, Md. Mohsin Khondoker et al.

Journal: International Journal of Advanced Technology and Engineering ExplorationYear: 2019Citations: 6

being more intelligent, remote controllable, and interconnected. For this reason, researchers have made significant advancement in developing smart home. However, there is scarcity of a complete system in the market that provides a total solution. In this paper, a complete 3-room apartment automatio...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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