Md Kowsher

Md Kowsher
Stevens Institute of Technology

PhD in Computer Science

About

65
Publications
61,609
Reads
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154
Citations
Additional affiliations
September 2021 - present
Stevens Institute of Technology
Position
  • Research Assistant
June 2020 - August 2021
Hishab Ltd
Position
  • AI Scientis
November 2019 - March 2020
NKSoft
Position
  • Engineer
Education
April 2015 - August 2019

Publications

Publications (65)
Article
Full-text available
The growth of the Internet has expanded the amount of data expressed by users across multiple platforms. The availability of these different worldviews and individuals’ emotions empowers sentiment analysis. However, sentiment analysis becomes even more challenging due to a scarcity of standardized labeled data in the Bangla NLP domain. The majority...
Article
Full-text available
Asthma is a disease which attacks the lungs and that affects people of all ages. Asthma prediction is crucial since many individuals already have asthma and increasing asthma patients is continuous. Machine learning (ML) has been demonstrated to help individuals make judgments and predictions based on vast amounts of data. Because Android applicati...
Article
Full-text available
In recent years, the concept of cloud computing has been gaining traction to provide dynamically increasing access to shared computing resources (software and hardware) via the internet. It’s not secret that cloud computing’s ability to supply mission-critical services has made job scheduling a hot subject in the industry right now. Cloud resources...
Article
Full-text available
Due to the expansion of data generation, more and more natural language processing (NLP) tasks are needing to be solved. For this, word representation plays a vital role. Computation-based word embedding in various high languages is very useful. However, until now, low-resource languages such as Bangla have had very limited resources available in t...
Article
Point-of-interest (POI) recommendation system that tries to anticipate user’s next visiting location has attracted a plentiful research interest due to its ability in generating personalized suggestions. Since user’s historical check-ins are sequential in nature, Recurrent neural network (RNN) based models with context embedding shows promising res...
Article
Full-text available
The advent of pre-trained language models has directed a new era of Natural Language Processing (NLP),enabling us to create powerful language models. Among these models, Transformer-based models likeBERT have grown in popularity due to their cutting-edge effectiveness. However, these models heavilyrely on resource-intensive languages, forcing other...
Article
Full-text available
Machine learning models have been very popular nowadays for providing rigorous solutions to complicated real-life problems. There are three main domains named supervised, unsupervised, and reinforcement. Supervised learning mainly deals with regression and classification. There exist several types of classification algorithms, and these are based o...
Article
Full-text available
A woman's satisfaction with childbirth may have immediate and long-term effects on her health as well as on the relationship with her newborn child. The mode of baby delivery is genuinely vital to a delivery patient and her infant child. It might be a crucial factor for ensuring the safety of both the mother and the child. During the baby delivery,...
Article
Full-text available
Progression in machine learning and statistical inference are facilitating the advancement of domains like computer vision, natural language processing (NLP), automation & robotics, and so on. Among the different persuasive improvements in NLP, word embedding is one of the most used and revolutionary techniques. In this paper, we manifest an open-s...
Chapter
The names of people have a large significance in various types of computing applications. In general, people’s names usually have a potential distinction between genders. Detecting genders from names with higher accuracy could be very challenging for Bangla and English character-based Bangla names. In this article, we showed the machine learning an...
Chapter
Sentiment analysis (SA) is the process of extracting the sentimental level of someone’s observation, evaluation, or opinion on different social aspects such as products, services, or individuals. It has become a popular research area in the field of natural language processing (NLP) for enabling a machine to recognize the right sentiments of texts....
Conference Paper
Full-text available
The latest strategies for learning vector space portrayals of words have prevailed with regards to catching fine-grained semantic and syntactic consistencies utilizing vector arithmetic, however, the sequence representation is not present to these methods. As a result, to consider the sequence we are utilizing the sequence neural networks like RNN...
Article
Full-text available
Data classification is one of the most fundamental tasks that can be accomplished by supervised machine learning. There exists a lot of algorithms, and they have the specific case of uses. Different classification methods follow different techniques to map the relationship between input and output. This article proposes an angle measurement-based c...
Article
Natural language processing (NLP) is an area of machine learning that has garnered a lot of attention in recent days due to the revolution in artificial intelligence, robotics, and smart devices. NLP focuses on training machines to understand and analyze various languages, extract meaningful information from those, translate from one language to an...
Chapter
Full-text available
This book presents the collection of the accepted research papers presented in the Conference on Intelligent Vision and Computing, 2021 and Conference on Intelligent Systems, 2021. In addition, this edited book contains articles related to the themes of business intelligence, artificial intelligence, data analysis, fake news detection, natural lang...
Article
Full-text available
Machine learning is getting more and more advanced with the progression of state-of-the-art technologies. Since existing algorithms do not provide a palatable learning performance most often, it is necessary to carry on the trail of upgrading the current algorithms incessantly. The hybridization of two or more algorithms can potentially increase th...
Article
Full-text available
Machine learning and deep learning have been perceived as a commended technique for different pattern recognition purposes among data. A chunk of consideration has been given to social and demographic research and with an amalgamation of various machine learning and deep learning algorithms. In this paper, we anticipate structuring a machine learni...
Presentation
Full-text available
Sentiment Analysis (SA) is the process of extracting the sentimental level of someone’s observation, evaluation, or opinion on different social aspects such as products, services or individuals, etc. It has become a popular research area in the field of Natural Language Pro-cessing (NLP) for enabling a machine to recognize the right sentiments of t...
Conference Paper
Full-text available
Natural language processing (NLP) finds enormous applications in autonomous communication, while lemmatization is an essential preprocessing technique for simplification of a word to its origin-word in NLP. However, there is scarcity of effective algorithms in Bangla NLP. This leads us to develop a useful Bangla language lemmatization tool. Usually...
Conference Paper
Full-text available
Chatbots have been very popular in recent years for being able to serve as a customer representative, a language learner, and so forth. Long short-term memory abbreviated as LSTM is a ubiquitous artificial recurrent neural network that is frequently being used for the chatbot. Nevertheless, if a user makes the line break of sequence, then it is rar...
Research
Full-text available
Machine learning method gives a learning technique that can be applied to extract information from data. Lots of researches are being conducted that involves machine learning techniques for medical diagnosis, prediction and treatment. The goal of this study is to perform several machine learning actions for finding the appropriate mode of birth (ce...
Chapter
Full-text available
Machine learning method gives a learning technique that can be applied to extract information from data. Lots of researches are being conducted that involves machine learning techniques for medical diagnosis, prediction and treatment. The goal of this study is to perform several machine learning actions for finding the appropriate mode of birth (ce...
Presentation
Full-text available
How BLTK Can be �Profitable for Business
Presentation
Full-text available
Machine Learning & DNN Based Mode of Childbirth, ICONCS, Springer
Presentation
Full-text available
The Bangla Intelligence Question Answering System Based on Mathematics and Statistics, ICCIT, IEEE
Presentation
Full-text available
Natural Language Processing in Business For Extending Profit
Research
Full-text available
In this paper, we proposed a robust growth model compared it among the different kinds of growth model such as logistic, Malthusian, Gompertz. Our proposed model showed the art of state performance compared to others. As the compared data, we used the manpower, remittance earners of Bangladesh, and Overseas Employment (Female Workers). Besides, thi...
Presentation
Full-text available
Impact Leanring, ICCCM
Conference Paper
Full-text available
The ultimate goal of this research paper is to introduce a robust machine learning algorithm called Impact-Learning, which is being used widely to achieve more advanced results on many machine-learning related challenges. Impact learning is a supervised machine learning algorithm for resolving classification and linear or polynomial regression know...
Presentation
Full-text available
Gender Identification from Bangla Name, IEMIES, Springer
Preprint
Full-text available
The ultimate goal of this research paper is to introduce a robust machine learning algorithm called Impact-Learning, which is being used widely to achieve more advanced results on many machine-learning related challenges. Impact learning is a supervised machine learning algorithm for resolving classification and linear or polynomial regression know...
Article
Full-text available
This paper presents an optimization-based approach to a collision-free autonomous ground-Based traffic system. The proposed algorithm, named MIPATS (Mixed integer programming Algorithm for autonomous ground-based Traffic system), generates the fastest intersection crossing discrete-time trajectory for each vehicle approaching an intersection. The C...
Preprint
Regression is a process to estimate the bond among variables. It is a statistical technique and is used as prediction with the curve fitting in machine learning, data science, economics, etc. Linear and Polynomial regression is widely used to fit a curve and forecasting result. In this exploration, we propose two new linear and non-linear regressio...
Conference Paper
Full-text available
The Bangla Informative Question Answering System (BIQAS) is a significant Machine Learning (ML) technique that helps a user to trace relevant information by Bengali Natural Language Processing (BNLP). In this research paper, we have applied three mathematical and statistical procedures for BIQAS based on question answering data. These procedures ar...
Conference Paper
Full-text available
Type 2 Diabetes is a fast-growing, chronic metabolic disorder due to imbalanced insulin activity. As lots of people are suffering from it, access to proper treatment is necessary to control the problem. Most patients are unaware of health complexity, symptoms and risk factors before diabetes. The motion of this research is a comparative study of se...
Chapter
Full-text available
Regression is a process to estimate the bond among variables. It is a statistical technique and is used as prediction with the curve fitting in machine learning, data science, economics etc. Linear and Polynomial regression is widely used to fit a curve and forecasting result. In this exploration, we propose two new linear and non-linear regression...
Chapter
Full-text available
In this research, we have examined type 2 diabetics treatment and medication detection using seven classifier algorithms. We have created a decision tree-based procedure with genetic and clinical features such as Fasting, 2 h after the glucose load, BMI, Duration (years), Age, gender-specific, and blood pressure for the treatment of type 2 diabetic...
Article
Full-text available
Regression is a process to estimate the bond among variables. It is a statistical technique and is used as prediction with the curve fitting in machine learning, data science, economics, etc. Linear and Polynomial regression is widely used to fit a curve and forecasting result. In this exploration, we propose two new linear and non-linear regressio...
Conference Paper
Sentiment Analysis (SA) is the process of extracting the sentimental level of someone's observation, evaluation, or opinion on different social aspects such as products, services or individuals, etc. It has become a popular research area in the field of Natural Language Processing (NLP) for enabling a machine to recognize the right sentiments of te...
Research
Full-text available
The main goal of this research is to give the complete conception about numerical integration including Newton-Cotes formulas and aimed at comparing the rate of performance or the rate of accuracy of Trapezoidal, Simpson’s 1/3, and Simpson’s 3/8. To verify the accuracy, we compare each rule demonstrating the smallest error values among them. The so...
Presentation
Full-text available
Bangla Language Toolkit(BLTK) , the Business Model for NLP in Robi R-Ventures-2.0
Presentation
Full-text available
Sanglap, Bangla Virtual Chatbot
Research
Full-text available
Information Retrieval System is an effective process that helps a user to trace relevant information by Natural Language Processing (NLP). In this research paper, we have presented present an algorithmic Information Retrieval System(BIRS) based on information and the system is significant mathematically and statistically. This paper is demonstrated...
Article
Full-text available
Information Retrieval System is an effective process that helps a user to trace relevant information by Natural Language Processing (NLP). In this research paper, we have presented present an algorithmic Information Retrieval System(BIRS) based on information and the system is significant mathematically and statistically. This paper is demonstrated...
Research
Full-text available
The main purpose of this research is to find out the best method through iterative methods for solving the nonlinear equation. In this study, the four iterative methods are examined and emphasized to solve the nonlinear equations. From this method explained, the rate of convergence is demonstrated among the 1st degree based iterative methods. After...
Article
Full-text available
In Numerical analysis, interpolation is a manner of calculating the unknown values of a function for any conferred value of argument within the limit of the arguments. It provides basically a concept of estimating unknown data with the aid of relating acquainted data. The main goal of this research is to constitute a central difference interpolatio...
Presentation
Full-text available
Bangla Informative Chatbot, IC4ME2, IEEE.
Presentation
Full-text available
The Mathematical and Statistical Procedures for Bengali Informative Intelligence Bot, NSTU
Presentation
Full-text available
Detecting Third Umpire Decisions & Automated Scoring System, IC4ME2, IEEE
Conference Paper
Full-text available
For the time being, Cricket is indisputably one of the most interesting games in the world, especially in the territory of South Asian. As human beings are prone to error, sometimes errors have happened to an umpire and about a constant time is taken by the third umpire for an exact decision of a review. The two different domains artificial intelli...
Book
Full-text available
The Bengali Informative Intelligence Bot (BIIB) is an effective Machine Learning (ML) technique that helps a user to trace relevant information by Bengali Natural Language Processing (BNLP). In this book, we introduce two mathematical and statistical procedures for BIIB based on information of Noakhali Science and Technology University (NSTU) that...
Research
Full-text available
Fraud detection which is a discussible phenomenon to many bounds together with financial sectors, banking, insurance as well as diverse forms of industries. Nowadays fraud endeavors are being amplified with rampant pace especially via the development of technology, so building fraud discovery more significant than ever before. In this paper, we ana...

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Projects

Projects (5)
Archived project
Impact Learning is a robust machine learning algorithm, which is being used widely to achieve more advanced results on many machine-learning related challenges. Impact learning is a supervised machine learning algorithm for resolving classification and linear or non-linear regression knowledge from examples. A perfect python module is developed using the tensor concept to use Impact learning in regression or classification problems. The dependency of this module is Tensorflow 2.0, Sklearn, Scipy, NumPy. To install in your machine learning environment just command pip installs impact learning.
Project
Developing ML/AI algorithm
Project
Bangla NLP