Abhijit Bhowmik

Abhijit Bhowmik

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Publication – Abhijit Bhowmik https://abhijitbhowmik.com Fri, 05 Jan 2024 10:04:52 +0000 en-US hourly 1 https://wordpress.org/?v=6.9.4 https://abhijitbhowmik.com/wp-content/uploads/2021/12/cropped-AB-4-32x32.png Publication – Abhijit Bhowmik https://abhijitbhowmik.com 32 32 A comprehensive dataset for aspect-based sentiment analysis in evaluating teacher performance https://abhijitbhowmik.com/a-comprehensive-dataset-for-aspect-based-sentiment-analysis-in-evaluating-teacher-performance/ https://abhijitbhowmik.com/a-comprehensive-dataset-for-aspect-based-sentiment-analysis-in-evaluating-teacher-performance/#respond Fri, 05 Jan 2024 10:03:41 +0000 https://abhijitbhowmik.com/?p=3135 Abhijit Bhowmik

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A comprehensive dataset for aspect-based sentiment analysis in evaluating teacher performance    Authors : Abhijit Bhowmik, Noorhuzaimi Mohd Noor, M. Saef Ullah Miah, Md. Mazid-Ul-Haque, Debajyoti Karmaker  Journal Info: AIUB Journal of Science and Engineering. Vol 22, Issue 2, 2023  Abstract: Teacher performance evaluation is an essential task in the field of education. In recent …

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A comprehensive dataset for aspect-based sentiment analysis in evaluating teacher performance 

 

Authors : Abhijit Bhowmik, Noorhuzaimi Mohd Noor, M. Saef Ullah Miah, Md. Mazid-Ul-Haque, Debajyoti Karmaker 

Journal Info: AIUB Journal of Science and Engineering. Vol 22, Issue 2, 2023 

Abstract: Teacher performance evaluation is an essential task in the field of education. In recent years, aspect-based sentiment analysis (ABSA) has emerged as a promising technique for evaluating teaching performance by providing a more nuanced analysis of student evaluations. This article presents a novel approach for creating a large-scale dataset for ABSA of teacher performance evaluation. The dataset was constructed by collecting student feedback from American International University-Bangladesh and then labeled by undergraduate-level students into three sentiment classes: positive, negative, and neutral. The dataset was carefully cleaned and preprocessed to ensure data quality and consistency. The final dataset contains over 2,000,000 student feedback instances related to teacher performance, making it one of the largest datasets for ABSA of teacher performance evaluation. This dataset can be used to develop and evaluate ABSA models for teacher performance evaluation, ultimately leading to better feedback and improvement for educators. The results of this study demonstrate the usefulness and effectiveness of ABSA in evaluating teacher performance and highlight the importance of creating high-quality datasets for this task. 

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]]> https://abhijitbhowmik.com/a-comprehensive-dataset-for-aspect-based-sentiment-analysis-in-evaluating-teacher-performance/feed/ 0 Hybrid Scrum-XP: A Proposed Model based on Effectiveness of Agile Model on Varieties of Software Companies in Bangladesh https://abhijitbhowmik.com/hybrid-scrum-xp-a-proposed-model-based-on-effectiveness-of-agile-model-on-varieties-of-software-companies-in-bangladesh/ https://abhijitbhowmik.com/hybrid-scrum-xp-a-proposed-model-based-on-effectiveness-of-agile-model-on-varieties-of-software-companies-in-bangladesh/#respond Thu, 04 Jan 2024 19:27:39 +0000 https://abhijitbhowmik.com/?p=3131 Abhijit Bhowmik

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Hybrid Scrum-XP: A Proposed Model based on Effectiveness of Agile Model on Varieties of Software Companies in Bangladesh   Authors: Bijoya Bose Khan, Sumaiya, Faisal, Md. Mazid-Ul-Haque, Abhijit Bhowmik  Journal Info- AIUB Journal of Science and Engineering. Vol 22, Issue 1, 2023  Abstract – The Agile Methodology is a term that refers to a method …

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Hybrid Scrum-XP: A Proposed Model based on Effectiveness of Agile Model on Varieties of Software Companies in Bangladesh

 

Authors: Bijoya Bose Khan, Sumaiya, Faisal, Md. Mazid-Ul-Haque, Abhijit Bhowmik 

Journal Info- AIUB Journal of Science and Engineering. Vol 22, Issue 1, 2023 

Abstract – The Agile Methodology is a term that refers to a method of software development that is incremental and iterative in nature and is used to manage and incorporate constantly changing needs. This entails decomposing the entire development process cycle into a series of tasks. The process is further divided into a number of sub-tasks, each function is independently. The Agile Development technique, which is a popular and growth-oriented strategy, provides not only speedy project delivery but also software responsiveness, which leads to total corporate growth and agility.The organization’s project management capabilities and performance are improved through the adoption of Agile practices. In their business, the companies employ Agile methods. As a result, the goal of this study is to see how effective agile approaches are in Bangladeshi software organizations. A survey of established software companies in Bangladesh is being conducted to accomplish the objective. The Scrum and XP agile technique is the most widely used according to the findings. It is proposed that Scrum and the XP model be combined to achieve maximum effectiveness and overcome their respective limits. 

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]]> https://abhijitbhowmik.com/hybrid-scrum-xp-a-proposed-model-based-on-effectiveness-of-agile-model-on-varieties-of-software-companies-in-bangladesh/feed/ 0 A Trend Analysis of crimes in Bangladesh https://abhijitbhowmik.com/a-trend-analysis-of-crimes-in-bangladesh/ https://abhijitbhowmik.com/a-trend-analysis-of-crimes-in-bangladesh/#respond Thu, 04 Jan 2024 19:24:03 +0000 https://abhijitbhowmik.com/?p=3127 Abhijit Bhowmik

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A Trend Analysis of crimes in Bangladesh   Authors: Saima Sharleen Islam, Md. Samiul Haque, M. Saef Ullah Miah, Talha Bin Sarwar, Abhijit Bhowmik  Journal Info- AIUB International Conference on Computing Advancements (ICCA 2022) Pages 501–508  Abstract – This paper presents a trend analysis of crimes in Bangladesh based on the data provided by Bangladesh Police …

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A Trend Analysis of crimes in Bangladesh

 

Authors: Saima Sharleen Islam, Md. Samiul Haque, M. Saef Ullah Miah, Talha Bin Sarwar, Abhijit Bhowmik 

Journal Info- AIUB International Conference on Computing Advancements (ICCA 2022) Pages 501–508 

Abstract – This paper presents a trend analysis of crimes in Bangladesh based on the data provided by Bangladesh Police for the last ten years, from 2010 to 2019. The data contains the number of different crimes organized by the police units in different areas of Bangladesh. The aim of this work is to analyze the crimes committed in the last ten years, establish relationships between the different types of crimes, and identify patterns between them. In order to analyze the data, the dataset provided by Bangladesh Police is transformed into different forms, and then the correlation between different features is determined. The four most important features or crime types, namely murder, narcotics, smuggling, and dacoity, are analyzed in depth by analyzing the significance of the features. This study presents the overall scenario of the crime types and rates observed in the last decade and could be of great help to the law enforcement agencies to make future decisions based on the analysis presented in this paper. 

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]]> https://abhijitbhowmik.com/a-trend-analysis-of-crimes-in-bangladesh/feed/ 0 A Medical Cyber-Physical System Utilizing The Bayes Algorithm For Post-diagnosis Patient Supervision https://abhijitbhowmik.com/a-medical-cyber-physical-system-utilizing-the-bayes-algorithm-for-post-diagnosis-patient-supervision/ https://abhijitbhowmik.com/a-medical-cyber-physical-system-utilizing-the-bayes-algorithm-for-post-diagnosis-patient-supervision/#respond Thu, 04 Jan 2024 18:48:29 +0000 https://abhijitbhowmik.com/?p=3121 Abhijit Bhowmik

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A Medical Cyber-Physical System Utilizing The Bayes Algorithm For Post-diagnosis Patient Supervision   Authors: Mizanur Rahman, Talha Bin Sarwar, Zahiduddin Ahmed, M. Saef Ullah Miah, Abhijit Bhowmik, Fahmeda Nusrat, Junaida Sulaiman  Journal Info :- AIUB Journal of Science and Engineering. vol 22, Issue 2, 2023 Abstract- Medical care is one of the most basic human …

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A Medical Cyber-Physical System Utilizing The Bayes Algorithm For Post-diagnosis Patient Supervision

 

Authors: Mizanur Rahman, Talha Bin Sarwar, Zahiduddin Ahmed, M. Saef Ullah Miah, Abhijit Bhowmik, Fahmeda Nusrat, Junaida Sulaiman 

Journal Info :- AIUB Journal of Science and Engineering. vol 22, Issue 2, 2023

Abstract- Medical care is one of the most basic human needs. Due to the global shortage of doctors, nurses, and other healthcare personnel, medical cyber-physical systems are quickly becoming a viable option. Post-diagnosis surveillance is an essential application of these systems, which can be performed more successfully using various monitoring devices rather than active observation by nurses in their physical presence. However, most existing solutions for this application are rigid and do not consider current difficulties. Intelligent and adaptive systems can overcome the challenges because of the advances in relevant technology, especially healthcare 4.0. Therefore, this work presents an adaptive system based on cloud and edge computing architecture and machine learning approaches to perform post-diagnosis medical tasks on patients, thus reducing the need for nurses, especially in the post-diagnosis phase.

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]]> https://abhijitbhowmik.com/a-medical-cyber-physical-system-utilizing-the-bayes-algorithm-for-post-diagnosis-patient-supervision/feed/ 0 Bridge Crack Detection Using Dense Convolutional Network (DenseNet) https://abhijitbhowmik.com/bridge-crack-detection-using-dense-convolutional-network-densenet/ https://abhijitbhowmik.com/bridge-crack-detection-using-dense-convolutional-network-densenet/#respond Thu, 04 Jan 2024 18:35:39 +0000 https://abhijitbhowmik.com/?p=3116 Abhijit Bhowmik

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Bridge Crack Detection Using Dense Convolutional Network (DenseNet)   Authors: Nazia Alfaz, Abul Hasnat, Alvi Md. Ragib Nihal Khan, Nazmus Shakib Sayom, Abhijit Bhowmik Conference Info: AIUB International Conference on Computing Advancements (ICCA 2022) Pages 509–515 Abstract: — Due to the increased volume of national, international, and even intercontinental transportation, it has been a critical …

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Bridge Crack Detection Using Dense Convolutional Network (DenseNet)

 

Authors: Nazia Alfaz, Abul Hasnat, Alvi Md. Ragib Nihal Khan, Nazmus Shakib Sayom, Abhijit Bhowmik

Conference Info: AIUB International Conference on Computing Advancements (ICCA 2022) Pages 509–515

Abstract: — Due to the increased volume of national, international, and even intercontinental transportation, it has been a critical responsibility for the road and transport authorities to ensure the safety of the transits. Bridges, in particular, require special maintenance because these are typically built in strategic locations, are more vulnerable to natural disasters, and can inflict more damage to life and property if collapsed. In addition to being expensive and time-consuming, manual structure health monitoring (SHM) is also error-prone, but this is still the standard practice in many countries, especially in Bangladesh. This paper presents a deep learning approach to detect cracks in concrete bridge surfaces from images using Dense Convolutional Network (DenseNet) with 99.83% detection accuracy to automate SHM, making it less expensive, efficient, and accurate.

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]]> https://abhijitbhowmik.com/bridge-crack-detection-using-dense-convolutional-network-densenet/feed/ 0 An automated monitoring and environmental control system for laboratory-scale cultivation of oyster mushrooms using the Internet of Agricultural Thing (IoAT) https://abhijitbhowmik.com/an-automated-monitoring-and-environmental-control-system-for-laboratory-scale-cultivation-of-oyster-mushrooms-using-the-internet-of-agricultural-thing-ioat/ https://abhijitbhowmik.com/an-automated-monitoring-and-environmental-control-system-for-laboratory-scale-cultivation-of-oyster-mushrooms-using-the-internet-of-agricultural-thing-ioat/#respond Thu, 04 Jan 2024 18:29:58 +0000 https://abhijitbhowmik.com/?p=3113 Abhijit Bhowmik

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An automated monitoring and environmental control system for laboratory-scale cultivation of oyster mushrooms using the Internet of Agricultural Thing (IoAT)   Authors: Md. Ireful Islam, Md. Antonin Islam, Md. Saef Ullah Miah, Abhijit Bhowmik  Conference Info: AIUB International Conference on Computing Advancements (ICCA 2022) Pages 207–12 Abstract: — This research paper presents an automated system …

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An automated monitoring and environmental control system for laboratory-scale cultivation of oyster mushrooms using the Internet of Agricultural Thing (IoAT)

 

Authors: Md. Ireful Islam, Md. Antonin Islam, Md. Saef Ullah Miah, Abhijit Bhowmik 

Conference Info: AIUB International Conference on Computing Advancements (ICCA 2022) Pages 207–12

Abstract: — This research paper presents an automated system for controlling and monitoring the cultivation of oyster mushrooms in a laboratory facility. The system uses an Internet of Things (IoT) based approach to automate the entire process. The main objective of this system is to make indoor mushroom cultivation easier and cost effective. The proposed system has proved to be very effective in saving labor costs by automatically monitoring and controlling the environment. Moreover, the proposed system has a real time update and monitoring feature which helps the grower to take immediate action. This paper provides a detailed insight into the project, including the development process, automation system, hardware setup, technical specifications, and results achieved after successful implementation.

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]]> https://abhijitbhowmik.com/an-automated-monitoring-and-environmental-control-system-for-laboratory-scale-cultivation-of-oyster-mushrooms-using-the-internet-of-agricultural-thing-ioat/feed/ 0 A machine learning approach for Bengali handwritten vowel character recognition https://abhijitbhowmik.com/a-machine-learning-approach-for-bengali-handwritten-vowel-character-recognition/ https://abhijitbhowmik.com/a-machine-learning-approach-for-bengali-handwritten-vowel-character-recognition/#respond Thu, 04 Jan 2024 18:22:21 +0000 https://abhijitbhowmik.com/?p=3109 Abhijit Bhowmik

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A machine learning approach for Bengali handwritten vowel character recognition   Authors: Shahrukh Ahsan, Shah Tarik Nawaz, Talha Bin Sarwar, M. Saef Ullah Miah, Abhijit Bhowmik Journal Info: — IAES International Journal of Artificial Intelligence (IJ-AI), Vol. 11, No. 3, September 2022, pp. 1143∼1152 Abstract — Recognition of handwritten characters is complex because of the …

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A machine learning approach for Bengali handwritten vowel character recognition

 

Authors: Shahrukh Ahsan, Shah Tarik Nawaz, Talha Bin Sarwar, M. Saef Ullah Miah, Abhijit Bhowmik

Journal Info: — IAES International Journal of Artificial Intelligence (IJ-AI), Vol. 11, No. 3, September 2022, pp. 1143∼1152

Abstract — Recognition of handwritten characters is complex because of the different shapes and numbers of characters. Many handwritten character recognition strategies have been proposed for both English and other major dialects. Bengali is generally considered the fifth most spoken local language in the world. It is the official and most widely spoken language of Bangladesh and the second most widely spoken among the 22 posted dialects of India. To improve the recognition of handwritten Bengali characters, we developed a different approach in this study using face mapping. It is quite effective in distinguishing different characters. The real highlight is that the recognition results are more efficient than expected with a simple machine learning technique. The proposed method uses the Python library Scikit-Learn, including NumPy, Pandas, Matplotlib, and support vector machine (SVM) classifiers. The proposed model uses a dataset derived from the Bangla Lekha isolated dataset for the training and testing part. The new approach shows positive results and looks promising. It showed accuracy up to 94% for a particular character and 91% on average for all characters.


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]]> https://abhijitbhowmik.com/a-machine-learning-approach-for-bengali-handwritten-vowel-character-recognition/feed/ 0 Finding Efficiency in Approach Selection in Software Development and Project Management in Bangladesh IT Industry https://abhijitbhowmik.com/finding-efficiency-in-approach-selection-in-software-development-and-project-management-in-bangladesh-it-industry/ https://abhijitbhowmik.com/finding-efficiency-in-approach-selection-in-software-development-and-project-management-in-bangladesh-it-industry/#respond Tue, 05 Dec 2023 16:19:09 +0000 https://abhijitbhowmik.com/?p=3075 Abhijit Bhowmik

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Finding Efficiency in Approach Selection in Software Development and Project Management in Bangladesh IT Industry    Authors: Olive Mazumder, Marshia Mostafiz Mim, MD. Abu Junaid Tanmay, Lutfa Noor Labony, Abhijit Bhowmik, Rashidul Hasan Nabil  Journal Info- AIUB International Conference on Computing Advancements (ICCA 2022) Pages 254–259  Abstract – Here we have tried to find out suitable …

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Finding Efficiency in Approach Selection in Software Development and Project Management in Bangladesh IT Industry 

 

Authors: Olive Mazumder, Marshia Mostafiz Mim, MD. Abu Junaid Tanmay, Lutfa Noor Labony, Abhijit Bhowmik, Rashidul Hasan Nabil 

Journal Info- AIUB International Conference on Computing Advancements (ICCA 2022) Pages 254–259 

Abstract – Here we have tried to find out suitable methods for IT companies of different ages. Some subject companies were chosen and given a survey form from which we got some data about different aged IT companies using different development methods. The models were between agile, agile process model, and other models. Through the survey, we found some data which can help different aged IT companies find the right model for their project development. The data analysis shows the suitable project method for different age companies. The subject companies also listed why they use their method and how long have been they using it. This survey result will help companies that are struggling to grow or companies which are about to start their project method. A good project method can bring success to a company. 

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]]> https://abhijitbhowmik.com/finding-efficiency-in-approach-selection-in-software-development-and-project-management-in-bangladesh-it-industry/feed/ 0 Risk Identification and Analysis in Software Development in Bangladesh IT Industry: A Hybrid Model https://abhijitbhowmik.com/risk-identification-and-analysis-in-software-development-in-bangladesh-it-industry-a-hybrid-model/ https://abhijitbhowmik.com/risk-identification-and-analysis-in-software-development-in-bangladesh-it-industry-a-hybrid-model/#respond Tue, 05 Dec 2023 16:11:04 +0000 https://abhijitbhowmik.com/?p=3071 Abhijit Bhowmik

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Risk Identification and Analysis in Software Development in Bangladesh IT Industry: A Hybrid Model    Authors : Tania Rahman, Shanto Kumar Saha, Md. Sajjadur Rahman Sohel, Md. Tamim Maula, Abhijit Bhowmik, Rashidul Hasan Nabil  Journal Info :– AIUB Journal of Science and Engineering. Vol 21, Issue 1, 2022  Abstract – Software risk management is a …

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Risk Identification and Analysis in Software Development in Bangladesh IT Industry: A Hybrid Model 

 

Authors : Tania Rahman, Shanto Kumar Saha, Md. Sajjadur Rahman Sohel, Md. Tamim Maula, Abhijit Bhowmik, Rashidul Hasan Nabil 

Journal Info :– AIUB Journal of Science and Engineering. Vol 21, Issue 1, 2022 

Abstract – Software risk management is a critical and multistage process. All over the world, IT industries face threats during software risk management processes. Bangladesh is not exceptional. The principal goal of the research is to manage risk for Bangladesh’s IT industry. To gain a clear and transparent idea, a survey is the most effective way. The research arranged a survey questionnaire and collected data for risk impact areas on Bangladesh IT industry. A workable and feasible risk management approach prompts an idea for the risk-mitigating plan. In any case, the high proportion of IT project failures demonstrates the futility of risk mitigation activities. From the survey, it is discovered that the most irritating obstructions behind software disappointment are the presence of covered-up and inconspicuous risks and lack of user communication, and lack of proper training on new technology which is overlooked in the greater part of the models. The proposed model works with the improvement of the risk mitigation plan through four phases, the Dynamic Verifier Core (DVC) committee, and the New Unproven Technology (NUT) train-up team. Depending upon the survey replies added another unique feature called the New Unproven Technology (NUT) train-up team. The model considered all four phases of risk management, with the mitigation phase and training on new technologies receiving the greatest attention. 

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]]> https://abhijitbhowmik.com/risk-identification-and-analysis-in-software-development-in-bangladesh-it-industry-a-hybrid-model/feed/ 0 Stock Market Comparison and Analysis in Preceding and Following Pandemic in Bangladesh using Machine Learning Approaches https://abhijitbhowmik.com/stock-market-comparison-and-analysis-in-preceding-and-following-pandemic-in-bangladesh-using-machine-learning-approaches/ https://abhijitbhowmik.com/stock-market-comparison-and-analysis-in-preceding-and-following-pandemic-in-bangladesh-using-machine-learning-approaches/#respond Tue, 05 Dec 2023 15:55:07 +0000 https://abhijitbhowmik.com/?p=3061 Abhijit Bhowmik

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Stock Market Comparison and Analysis in Preceding and Following Pandemic in Bangladesh using Machine Learning Approaches   Authors: Tausif Fardin Sinha, Sumaiya Gawhar Rafia, Mohammed Alvy Rahman, Ridwan mannan Rahat, Rashidul Hasan Nabil, Abhijit Bhowmik Conference Info: AIUB International Conference on Computing Advancements (ICCA 2022) Pages 260–268   Abstract — For a long time, stock …

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Stock Market Comparison and Analysis in Preceding and Following Pandemic in Bangladesh using Machine Learning Approaches

 

Authors: Tausif Fardin Sinha, Sumaiya Gawhar Rafia, Mohammed Alvy Rahman, Ridwan mannan Rahat, Rashidul Hasan Nabil, Abhijit Bhowmik

Conference Info: AIUB International Conference on Computing Advancements (ICCA 2022) Pages 260–268

 

Abstract — For a long time, stock price forecasting has been a significant research topic. However, stock prices depend on various factors that cannot be predicted, and that’s the reason it is almost impossible to predict stock prices accurately. Many researchers have already worked in this area. Recently, the COVID-19 pandemic had a great effect on the stock market. The main purpose of this paper is to predict the stock closing prices for two major stock exchanges in Bangladesh and compare the prediction accuracy based on before and after pandemic data. The implemented models are Autoregressive Integrated Moving Average (ARIMA) and Support Vector Machine (SVM) and Long Short-Term Memory (LSTM). Raw datasets were considered, which were collected from Dhaka Stock Exchange (DSE) and Chittagong Stock Exchange (CSE). Data preprocessing was done on both of the datasets. After analyzing the overall accuracy for each algorithm, it was found that LSTM provided better accuracy than ARIMA and SVM for both the DSE and CSE datasets.

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