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Md. Emran Biswas
Institution:
Hajee Mohammad Danesh Science and Technology University
Observed institution:
Hajee Mohammad Danesh Science and Technology University
ORCID:
0009-0007-9331-7531
Observed ORCID:
0009-0007-9331-7531
OpenAlex ID:
A5111153389
Spatio-Temporal Feature Engineering and Selection-Based Flight Arrival Delay Prediction Using Deep Feedforward Regression Network
2024
·
Md. Emran Biswas
, Tangina Sultana
, et al.
·
Electronics
·
12
PDF
DERIENet: A Deep Ensemble Learning Approach for High-Performance Detection of Jute Leaf Diseases
2025
·
Mst. Tanbin Yasmin Tanny
, Tangina Sultana
, et al.
·
Information
·
10
PDF
Spatiotemporal Data-Driven Hourly Bike-Sharing Demand Prediction Using ApexBoost Regression
2025
·
Md. Emran Biswas
, Md. Delowar Hossain
, et al.
·
International Journal of Data Science and Analytics
·
10
Machine Learning Approach to Estimate Requirements for Target Productivity of Garments Employees
2024
·
Md. Emran Biswas
, Md Shahzamal
, et al.
·
9
Customized EfficientNet: A Transfer Learning Approach for Rice Leaf Disease Classification with Advanced Resizing and Augmentation
2025
·
Mst. Tanbin Yasmin Tanny
, Md. Emran Biswas
, et al.
·
International Conference on Electrical, Computer and Communication Engineering
·
7
Interpretable IoT-Enabled Machine Learning Framework on Optimized Climate Information for Crop Yield and Resource Usage
2025
·
Md. Abid Hasan Rafi
, Mst. Fatematuj Johora
, et al.
·
Communications in computer and information science
·
6
An Adaptive Machine Learning Approach for Electrical Fault Detection and Minimization
2024
·
Md. Emran Biswas
, Md Sayem Ahamed
, et al.
·
6
SSHAD: Self-Supervised Hybrid Model for Anomaly Detection in Graphs
2025
·
Chanchol Kumar Modok
, Mst. Hasna Noushin Nipu
, et al.
·
International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM)
·
5
Workload prediction for air traffic controllers: a comprehensive review of challenges, techniques, and future prospects
2026
·
Tangina Sultana
, Md. Rafiul Islam Rifat
, et al.
·
International Journal of Data Science and Analytics
·
2
Heuristic-Flexible Ant Colony Optimization for Efficient Task Offloading in Fog Computing
2025
·
Md. Mahmodul Hasan
, Md. Emran Biswas
, et al.
·
2
An Effective Data Driven Approach to Predict Bike Rental Demand
2023
·
Md. Mahmudul Isalm
, Md. Emran Biswas
, et al.
·
International Conference on Sustainable Technologies for Industry 5.0 (STI)
·
2
Mango Category Detection Using Systemic Data Augmentation and Deep Learning Approach
2025
·
Md Marjut Hossain
, Md. Emran Biswas
, et al.
·
IEEE International Women in Engineering (WIE) Conference on Electrical and Computer Engineering (WIECON-ECE)
·
1
Tomato Leaf Disease Classification Using RHN-EfficientNet: A Regularized Deep Learning Architecture
2025
·
Md. Emran Biswas
, Tangina Sultana
, et al.
·
International Conference on Computer and Information Technology (ICCIT)
·
1
A Bioinformatics Approach to Uncover Hub Genes and Potential Drug Targets of Stroke, Heart-Disease, Hyperglycemia, and Hypertension
2024
·
Md. Emran Biswas
, M D. Fazle Hasan Mihad
, et al.
·
International Conference on Computer and Information Technology (ICCIT)
·
1
A Bioinformatics Approach to Identify Hub Genes Across Schizophrenia, Anxiety, Bipolar Disorder, and Depressive Disorder for Network-Based Drug Discovery
2024
·
Md. Emran Biswas
, MD Galib Hasan
, et al.
·
1
REDNet: An Explainable Deep Learning Framework for Mango Leaf Disease Classification
2026
·
Arjina Akter
, Md. Emran Biswas
, et al.
·
Applied Fruit Science
HSAM: A Hierarchical Stacking Ensemble Model with Explainable AI for Employee Turnover Prediction
2026
·
Md. Ariful Islam
, Chanchol Kumar Modok
, et al.
A Stable Feature Extraction Pipeline for High-Accuracy Classification of Tobacco Leaf Diseases
2025
·
Afif Hasan Ranasa
, Mst. Asrat Jahan Lira
, et al.
·
International Conference on Computer and Information Technology (ICCIT)
Revnet: An Optimized Deep Ensemble Model for Accurate Sugarcane Leafdisease Classification
2025
·
Md. Emran Biswas
, Md. Delowar Hossain
, et al.
·
SSRN Electronic Journal
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Works count:
19
Citation count:
75
H-index:
6
I10-index:
3
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