Anik Tahabilder

Anik Tahabilder

Stevens Institute of Technology

H-index: 8

North America-United States

About Anik Tahabilder

Anik Tahabilder, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Stevens Institute of Technology, specializes in the field of Blockchain, ML, Database.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Generic Efficient Scientific Workflow Engine for the Optimizations of Run-Time Execution

A deep learning approach for lane marking detection applying encode-decode instant segmentation network

An Automated Coronavirus Disease Detection Approach Using a Deep Neural Network from X-ray Images

A Review on Heart Diseases Prediction Using Artificial Intelligence

Efficient lane marking detection using deep learning technique with differential and cross-entropy loss.

A deep learning approach for COVID-19 and pneumonia detection from chest X-ray images.

Acute lymphoblastic leukemia detection approach from peripheral blood smear using color threshold and morphological techniques

Bangla topic classification using supervised learning

Anik Tahabilder Information

University

Position

Graduate Research Assistant

Citations(all)

198

Citations(since 2020)

190

Cited By

32

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Stevens Institute of Technology

Google Scholar

View Google Scholar Profile

Anik Tahabilder Skills & Research Interests

Blockchain

ML

Database

Top articles of Anik Tahabilder

Title

Journal

Author(s)

Publication Date

A Generic Efficient Scientific Workflow Engine for the Optimizations of Run-Time Execution

Changxin Bai

Junwen Liu

Anik Tahabilder

MM Imran

Shiyong Lu

...

2023/7/2

A deep learning approach for lane marking detection applying encode-decode instant segmentation network

Heliyon

Abdullah Al Mamun

Poh Ping Em

Md Jakir Hossen

Busrat Jahan

Anik Tahabilder

2023/3/1

An Automated Coronavirus Disease Detection Approach Using a Deep Neural Network from X-ray Images

A Musha

A Al Mamun

A Tahabilder

B Jahan

R Sultana

...

2022

A Review on Heart Diseases Prediction Using Artificial Intelligence

Rehnuma Hasnat

Abdullah Al Mamun

Ahmmad Musha

Anik Tahabilder

2022/9/23

Efficient lane marking detection using deep learning technique with differential and cross-entropy loss.

International Journal of Electrical & Computer Engineering (2088-8708)

Abdullah Al Mamun

Poh Ping Em

Md Jakir Hossen

Anik Tahabilder

Busrat Jahan

2022/8/1

A deep learning approach for COVID-19 and pneumonia detection from chest X-ray images.

International Journal of Electrical & Computer Engineering (2088-8708)

Ahmmad Musha

Abdullah Al Mamun

Anik Tahabilder

Md Jakir Hossen

Busrat Jahan

...

2022/8/1

Acute lymphoblastic leukemia detection approach from peripheral blood smear using color threshold and morphological techniques

International Journal of Electrical and Computer Engineering

Abdullah Al Mamun

Md Jakir Hossen

Anik Tahabilder

Ahmmad Musha

Rehnuma Hasnat

...

2022/8/1

Bangla topic classification using supervised learning

Md Kowsher

Anik Tahabilder

Nusrat Jahan Prottasha

Md Abdur-Rakib

Md Moyez Uddin

...

2022

A comprehensive review on lane marking detection using deep neural networks

Abdullah Al Mamun

Em Poh Ping

Jakir Hossen

Anik Tahabilder

Busrat Jahan

2022/10/10

LSTM-ANN & BiLSTM-ANN: Hybrid deep learning models for enhanced classification accuracy

Procedia Computer Science

Md Kowsher

Anik Tahabilder

Md Zahidul Islam Sanjid

Nusrat Jahan Prottasha

Md Shihab Uddin

...

2021/1/1

Sdsv: angle measurement for supervised classification

Procedia Computer Science

Md Kowsher

Imran Hossen

Anik Tahabilder

Nusrat Jahan Prottasha

Md Murad Hossain Sarker

...

2021/1/1

Support directional shifting vector: A direction based machine learning classifier

Emerging Science Journal

Md Kowsher

Imran Hossen

Anik Tahabilder

Nusrat Jahan Prottasha

Kaiser Habib

...

2021/10/1

Predicting the Appropriate Mode of Childbirth using Machine Learning Algorithm

International Journal of Advanced Computer Science and Applications

Md Kowsher

Nusrat Jahan Prottasha

Anik Tahabilder

Kaiser Habib

Md Abdur-Rakib

...

2021

Banglalm: Data mining based bangla corpus for language model research

Md Kowsher

Md Jashim Uddin

Anik Tahabilder

Md Ruhul Amin

Md Fahim Shahriar

...

2021/9/2

BnVec: Towards the development of word embedding for Bangla language processing

Int. J. Eng. Technol

Md Kowsher

Md Jashim Uddin

Anik Tahabilder

Nusrat Jahan Prottasha

Mahid Ahmed

...

2021

Small intestine bleeding detection using color threshold and morphological operation in WCE images

International Journal of Electrical and Computer Engineering

A Al Mamun

MS Hossain

Poh Ping Em

Anik Tahabilder

R Sultana

...

2021/8/1

Co-optimal PMU Placement for Complete Monitoring of Distributed Generations Installed System

Anik Tahabilder

AA Mamun

N Rahman

Pronob K Ghosh

2021

SeqVectorizer: Sequence Representation in Vector Space

Md Kowsher

Avishek Das

Md Murad Hossain Sarker

Anik Tahabilder

Md Zahidul Islam Sanjid

2021/4/1

Lemmatization algorithm development for bangla natural language processing

Md Kowsher

Anik Tahabilder

Md Murad Hossain Sarker

Md Zahidul Islam Sanjid

Nusrat Jahan Prottasha

2020/8/26

Building kilobots in-house for shape-formation

Anik Tahabilder

Yanjun Yan

2020/3/28

See List of Professors in Anik Tahabilder University(Stevens Institute of Technology)

Co-Authors

H-index: 9
Abdullah Al Mamun

Abdullah Al Mamun

Multimedia University

H-index: 9
Dr. Soumesh Chatterjee

Dr. Soumesh Chatterjee

National Institute of Technology, Agartala

H-index: 8
Poh Ping Em

Poh Ping Em

Multimedia University

H-index: 3
Rumana Sultana

Rumana Sultana

University of Colorado Denver

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