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Results for “"Amitabha Chakrabarty"”

16+ results

Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification

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Shahriar Hossain, Amitabha Chakrabarty, Thippa Reddy Gadekallu, Mamoun Alazab et al.

Journal: IEEE Journal of Biomedical and Health InformaticsYear: 2023Citations: 206

The abnormal growth of malignant or nonmalignant tissues in the brain causes long-term damage to the brain. Magnetic resonance imaging (MRI) is one of the most common methods of detecting brain tumors. To determine whether a patient has a brain tumor, MRI filters are physically examined by experts a...

Life SciencesNeuroscienceNeurology
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Agricultural production output prediction using Supervised Machine Learning techniques

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Md. Tahmid Shakoor, Karishma Rahman, Sumaiya Nasrin Rayta, Amitabha Chakrabarty

Year: 2017Citations: 98

Farmers usually plan the cultivation process based on their previous experiences. Due to the lack of precise knowledge about cultivation, they end up cultivating undesirable crops. To help the farmers take decisions that can make their farming more efficient and profitable, the research tries to est...

Life SciencesAgricultural and Biological SciencesPlant Science
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A Deep Neural Network Approach for Crop Selection and Yield Prediction in Bangladesh

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Tanhim Islam, Tanjir Alam Chisty, Amitabha Chakrabarty

Year: 2018Citations: 70

Agriculture is the essential ingredients to mankind which is a major source of livelihood. Agriculture work in Bangladesh is mostly done in old ways which directly affects our economy. In addition, institutions of agriculture are working with manual data which cannot provide a proper solution for cr...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Fake News Pattern Recognition using Linguistic Analysis

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Amitabha Dey, Rafsan Zani Rafi, Shahriar Hasan Parash, Sauvik Kundu Arko et al.

Year: 2018Citations: 67

In the wake of the 2016 US Presidential Election, the upsurge of fake news has been a subject of increased discussion and debate. In this paper, we propose a general framework that can been adopted in future elections worldwide to augment humans in making better decisions when it comes to recognizin...

Social SciencesSociology and Political ScienceMisinformation and Its Impacts
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Predicting Depression in Bangladeshi Undergraduates using Machine Learning

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Ahnaf Atef Choudhury, Md. Rezwan Hassan Khan, Nabuat Zaman Nahim, Sadid Rafsun Tulon et al.

Journal: 2019 IEEE Region 10 Symposium (TENSYMP)Year: 2019Citations: 62

Depression is a major disorder and a growing problem that impacts a person's way of living and disrupts natural functioning. Depression is especially prevalent in the younger population of underdeveloped and developing countries. Youth in countries such as Bangladesh face difficulties with studies, ...

Social SciencesPsychologySocial Psychology
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Urban Sound Classification Using Convolutional Neural Network and Long Short Term Memory Based on Multiple Features

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Joy Krishan Das, Arka Ghosh, Abhijit Kumar Pal, Sumit Dutta et al.

Year: 2020Citations: 58

There are many sounds all around us and our brain can easily and clearly identify them. Furthermore, our brain processes the received sound signals continuously and provides us with relevant environmental knowledge. Although not up to the level of accuracy of the brain, there are some smart devices ...

Physical SciencesComputer ScienceSignal Processing
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An interpretable fusion model integrating lightweight CNN and transformer architectures for rice leaf disease identification

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Amitabha Chakrabarty, Sarder Tanvir Ahmed, Md. Fahim Ul Islam, Syed Mahfuzul Aziz et al.

Journal: Ecological InformaticsYear: 2024Citations: 52

Swift identification of leaf diseases is crucial for sustainable rice farming, a staple grain consumed globally. The high costs and inefficiencies of manual identification underline the requirement of prompt disease detection. Traditional approaches for identifying leaf diseases in crops, particular...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Bitcoin Price Forecasting Using Time Series Analysis

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Shaily Roy, Samiha Nanjiba, Amitabha Chakrabarty

Year: 2018Citations: 48

Over the past few years, Bitcoin has been a topic of interest of many, from academic researchers to trade investors. Bitcoin is the first as well as the most popular cryptocurrency till date. Since its launch in 2009, it has become widely popular amongst various kinds of people for its trading syste...

Physical SciencesComputer ScienceInformation Systems
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Aggregating Different Scales of Attention on Feature Variants for Tomato Leaf Disease Diagnosis from Image Data: A Transformer Driven Study

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Shahriar Hossain, Md Tanzim Reza, Amitabha Chakrabarty, Yong Ju Jung

Journal: SensorsYear: 2023Citations: 42

Tomato leaf diseases can incur significant financial damage by having adverse impacts on crops and, consequently, they are a major concern for tomato growers all over the world. The diseases may come in a variety of forms, caused by environmental stress and various pathogens. An automated approach t...

Life SciencesAgricultural and Biological SciencesPlant ScienceOpen Access
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Player’s Performance Prediction in ODI Cricket Using Machine Learning Algorithms

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Aminul Islam Anik, Sakif Yeaser, Ali Hossain, Amitabha Chakrabarty

Year: 2018Citations: 39

This paper presents a method that is aimed towards predicting a cricket player’s upcoming match performance by implementing machine learning algorithms. The proposed model consists of statistical data of players of Bangladesh national cricket team which has been collected from trusted sports website...

Social SciencesEconomics, Econometrics and FinanceEconomics and Econometrics
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A comparative approach to email classification using Naive Bayes classifier and hidden Markov model

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Sebastian Romy Gomes, Sk Golam Saroar, Md Mosfaiul, Alam Telot et al.

Year: 2017Citations: 34

This research investigates a comparison between two different approaches for classifying emails based on their categories. Naive Bayes and Hidden Markov Model (HMM), two different machine learning algorithms, both have been used for detecting whether an email is important or spam. Naive Bayes Classi...

Physical SciencesComputer ScienceInformation Systems
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Semantic Segmentation on Panoramic Dental X-Ray Images Using U-Net Architectures

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Rafiatul Zannah, Mubtasim Bashar, Rahil Bin Mushfiq, Amitabha Chakrabarty et al.

Journal: IEEE AccessYear: 2024Citations: 33

The field of medical image analysis is in a constant state of evolution, particularly in the challenging tasks of segmenting organs, diseases, and abnormalities. Therefore, in the realm of dental disease diagnosis, image segmentation plays a crucial role in addressing the difficulties faced by denti...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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Automated farming prediction

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Talha Siddique, Dipro Barua, Zannatul Ferdous, Amitabha Chakrabarty

Journal: 2017 Intelligent Systems Conference (IntelliSys)Year: 2017Citations: 28

Farming is a predominantly manual process. The incorporation of any form of automation through the means of machine learning algorithms is still in incipient stage. This paper aims to introduce a fundamental approach to inaugurate the use of machine learning systems in the farming process. A compara...

Life SciencesAgricultural and Biological SciencesPlant Science
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Detecting Online Recruitment Fraud Using Machine Learning

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Hridita Tabassum, Gitanjali Ghosh, Afra Atika, Amitabha Chakrabarty

Year: 2021Citations: 26

Online Recruitment fraud (ORF) is becoming an important issue in the cyber-crime region. Companies find it easier to hire people with the help of the internet rather than the old traditional way. But it has greatly attracted scammers. In this paper, we have proposed a solution on how to detect ORF. ...

Physical SciencesComputer ScienceInformation Systems
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Performance analysis of security algorithms for IoT devices

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Nuzhat Khan, Nazmus Sakib, Ismot Jerin, Shaela Quader et al.

Year: 2017Citations: 24

Internet of things (IoT) has gained tremendous attention in today's world, IoT ecosystem is growing and showing us a glimpse of how the future will look in the coming days. However, the IoT sector is not impeccable, security is still a threat for the IoT devices as these devices are meant for low po...

Physical SciencesComputer ScienceComputer Networks and Communications
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