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Results for “"Md. Kishor Morol"”

21+ results

ConvoWaste: An Automatic Waste Segregation Machine Using Deep Learning

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Md. Shahariar Nafiz, Shuvra Smaran Das, Md. Kishor Morol, Abdullah Al Juabir et al.

Year: 2023Citations: 85

Nowadays, proper urban waste management is one the biggest concerns for maintaining a green and clean environment. An automatic waste segregation system can be a viable solution to improve the sustainability of the country and to boost up the circular economy. This paper proposes a machine to segreg...

Physical SciencesEnvironmental ScienceIndustrial and Manufacturing Engineering
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The Generative AI Landscape in Education: Mapping the Terrain of Opportunities, Challenges, and Student Perception

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Zishan Ahmed, Shakib Sadat Shanto, Most. Humayra Khanom Rime, Md. Kishor Morol et al.

Journal: IEEE AccessYear: 2024Citations: 82

Generative AI (GAI) technologies like ChatGPT are permanently changing academic education. Their integration opens up vast opportunities for bespoke learning and better student interaction but also brings about academic honesty issues and the application of real-life educators. This study aims to fi...

Physical SciencesComputer ScienceComputer Science ApplicationsOpen Access
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An explainable artificial intelligence model for multiple lung diseases classification from chest X-ray images using fine-tuned transfer learning

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Eram Mahamud, Nafiz Fahad, Md Assaduzzaman, S.M. Zain et al.

Journal: Decision Analytics JournalYear: 2024Citations: 61

Traditional deep learning models are often considered “black boxes” due to their lack of interpretability, which limits their therapeutic use despite their success in classification tasks. This study aims to improve the interpretability of diagnoses for COVID-19, pneumonia, and tuberculosis from X-r...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Food Recipe Recommendation Based on Ingredients Detection Using Deep Learning

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Md. Kishor Morol, Md. Shafaat Jamil Rokon, Ishra Binte Hasan, A. M. Saif et al.

Year: 2022Citations: 40

Food is essential for human survival, and people always try to taste different types of delicious recipes. Frequently, people choose food ingredients without even knowing their names or pick up some food ingredients that aren’t obvious to them from a grocery store. Knowing which ingredients can be m...

Physical SciencesEngineeringBiomedical Engineering
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A novel integrated logistic regression model enhanced with recursive feature elimination and explainable artificial intelligence for dementia prediction

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Rasel Ahmed, Nafiz Fahad, Md Saef Ullah Miah, Md. Jakir Hossen et al.

Journal: Healthcare AnalyticsYear: 2024Citations: 26

Dementia is a major global health issue that significantly impacts millions of individuals, families, and societies worldwide, creating a substantial burden on healthcare systems. This study introduces a novel approach for predicting dementia by employing the Logistic Regression (LR) model, enhanced...

Life SciencesNeuroscienceNeurologyOpen Access
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A Systematic Review on Interactive Virtual Reality Laboratory

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Fozlur Rahman, Marium Sana Mim, Feekra Baset Baishakhi, Mahmudul Hasan et al.

Year: 2022Citations: 25

Virtual Reality (VR) has became a significant element of education throughout the years. To understand the quality and advantages of these techniques, it’s important to understand how they were developed and evaluated. Since COVID-19, the education system has drastically changed a lot. It has shifte...

Physical SciencesEngineeringMedia Technology
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convoHER2: A Deep Neural Network for Multi-Stage Classification of HER2 Breast Cancer

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M. F. Mridha, Md. Kishor Morol, Md. Asraf Ali, Md Sakib Hossain Shovon

Journal: AIUB Journal of Science and Engineering (AJSE)Year: 2023Citations: 19

Generally, human epidermal growth factor 2 (HER2) breast cancer is more aggressive than other kinds of breast cancer. Currently, HER2 breast cancer is detected using variety of medical test which are most expensive. Therefore, the aim of this study was to develop a computational model named convoHER...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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A comparative analysis of Graph Neural Networks and commonly used machine learning algorithms on fake news detection

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Fahim Belal Mahmud, Mahi Sadek Rayhan, Mahdi Hasan Shuvo, Islam Sadia et al.

Year: 2022Citations: 18

Fake news on social media is increasingly regarded as one of the most concerning issues. Low cost, simple accessibility via social platforms, and a plethora of low-budget online news sources are some of the factors that contribute to the spread of false news. Most of the existing fake news detection...

Social SciencesSociology and Political ScienceMisinformation and Its Impacts
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A Deep Learning Framework to Reconstruct Face under Mask

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Gourango Modak, Shuvra Smaran Das, Md. Ajharul Islam Miraj, Md. Kishor Morol

Year: 2022Citations: 16

While deep learning-based image reconstruction methods have shown significant success in removing objects from pictures, they have yet to achieve acceptable results for attributing consistency to gender, ethnicity, expression, and other characteristics like the topological structure of the face. The...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Approaches for Improving the Performance of Fake News Detection in Bangla: Imbalance Handling and Model Stacking

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Md. Muzakker Hossain, Zahin Awosaf, Md. Salman Hossan Prottoy, Abu Saleh Muhammod Alvy et al.

Journal: Lecture notes in networks and systemsYear: 2022Citations: 14
Social SciencesSociology and Political ScienceMisinformation and Its Impacts
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Image to Bengali Caption Generation Using Deep CNN and Bidirectional Gated Recurrent Unit

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Al Momin Faruk, Hasan Al Faraby, Md. Muzahidul Azad, Md. Riduyan Fedous et al.

Year: 2020Citations: 9

There is very little notable research on generating descriptions of the Bengali language. About 243 million people speak in Bengali, and it is the 7th most spoken language on the planet. The purpose of this research is to propose a CNN and Bidirectional GRU based architecture model that generates na...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Dual graph attention network for robust fault diagnosis in photovoltaic inverters

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Ananta Bijoy Bhadra, Most. Humayra Khanom Rime, Yeahia Sarker, Erphan A. Bhuiyan et al.

Journal: Scientific ReportsYear: 2025Citations: 7

This paper presents a novel deep learning framework based on a Dual Graph Attention Network (DualGAT) to enhance the accuracy and robustness of fault diagnosis in photovoltaic (PV) inverters operating under diverse environmental and operational conditions. Given the critical role of PV inverters in ...

Physical SciencesEnergyRenewable Energy, Sustainability and the EnvironmentOpen Access
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Data Security and Privacy in Cloud Computing Platforms: A Comprehensive Review

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Md. Kishor Morol

Journal: International Journal of Current Science Research and ReviewYear: 2022Citations: 7

Cloud computing is the on-demand usage of computer resources through the internet, allowing us to relocate application software and databases. Its purpose is to deliver IT services that enable clients to benefit from the pay-per-use model's substantial cost advantages and the ability to flexibly sca...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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Exploring a Novel Machine Learning Approach for Evaluating Parkinson's Disease, Duration, and Vitamin D Level

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Md. Asraf Ali, Md. Kishor Morol, M. F. Mridha, Nafiz Fahad et al.

Journal: International Journal of Advanced Computer Science and ApplicationsYear: 2023Citations: 6

Parkinson's disease is an increasingly prevalent, degenerative neurological condition predominantly afflicting individuals aged 50 and older. As global life expectancy continues to rise, the imperative for a deeper comprehension of factors influencing the course and intensity of PD becomes more pron...

Health SciencesMedicineNeurologyOpen Access
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A Real-Time Junk Food Recognition System Based on Machine Learning

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Sirajum Munira Shifat, Takitazwar Parthib, Sabikunnahar Talukder Pyaasa, Nila Maitra Chaity et al.

Journal: Communications in computer and information scienceYear: 2022Citations: 6
Life SciencesAgricultural and Biological SciencesFood Science
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A Proposed Home Automation System for Disable People Using BCI System

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Tashnova Hasan Srijony, Md. Khalid Hasan Ur Rashid, Utchash Chakraborty, Imran Badsha et al.

Journal: Algorithms for intelligent systemsYear: 2021Citations: 6
Life SciencesNeuroscienceCognitive Neuroscience
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A hybrid self attentive linearized phrase structured transformer based RNN for financial sentence analysis with sentence level explainability

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Md. Tanzib Hosain, Md. Kishor Morol, Md. Jakir Hossen

Journal: Scientific ReportsYear: 2025Citations: 5

As financial institutions want openness and accountability in their automated systems, the task of understanding model choices has become more crucial in the field of financial text analysis. In this study, we propose xFiTRNN, a hybrid model that integrates self-attention mechanisms, linearized phra...

Social SciencesDecision SciencesManagement Science and Operations ResearchOpen Access
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Prediction of Cryptocurrency Price using Machine Learning Techniques and Public Sentiment Analysis

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Mehedi Hasan Mishal, Nura Jannat Rakhi, Fahmida Rashid, Kawsar Hamid et al.

Year: 2022Citations: 5

Bitcoin and other cryptocurrencies are emerging markets that are growing more and more important in the financial world. Since the definition of money has changed and its price has fluctuated, cryptocurrencies like Bitcoin and others have grown in popularity. In this study, we suggest the use of mac...

Physical SciencesComputer ScienceInformation Systems
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A Federated Learning-Based Blockchain-Assisted Anomaly Detection Scheme to Prevent Road Accidents in Internet of Vehicles

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Anik Islam, Md. Kishor Morol, Soo Young Shin

Year: 2022Citations: 5

In the modern era, the internet of vehicles (IoV) is being utilized in commercial applications and extensively explored in research. However, internal fault in IoV can cause accidents on the road. Moreover, privacy concerns can hamper the internal data sharing to build a model to detect the anomaly....

Physical SciencesComputer ScienceInformation Systems
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Present Situation of Tech Startups in Bangladesh: A Case Study

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Plabon Kumar Saha, Md. Ezaz Raihan, Md. Tanvir Anjum, Md. Kishor Morol

Journal: International Journal of Engineering and ManufacturingYear: 2022Citations: 4

In contemporary times startup is a very popular and growing entity, especially for the software industry as the technology field continues to grow. However, the failure rate of software startups is extremely high, and many reasons are behind this failure. There are many different variables behind th...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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