Tamjidul Hoque

According to our database, Tamjidul Hoque authored at least 63 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DRBpred: A sequence-based machine learning method to effectively predict DNA- and RNA-binding residues.

Md Wasi Ul Kabir, Duaa Mohammad Alawad, Pujan Pokhrel, Md. Tamjidul Hoque

Comput. Biol. Medicine, March, 2024

DisPredict3.0: Prediction of intrinsically disordered regions/proteins using protein language model.

Md Wasi Ul Kabir, Md. Tamjidul Hoque

Appl. Math. Comput., 2024

2023

PCa-Clf: A Classifier of Prostate Cancer Patients into Patients with Indolent and Aggressive Tumors Using Machine Learning.

Yashwanth Karthik Kumar Mamidi, Tarun Karthik Kumar Mamidi, Md Wasi Ul Kabir, Jiande Wu, Md. Tamjidul Hoque, Chindo Hicks

Mach. Learn. Knowl. Extr., December, 2023

CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins.

Alessio Del Conte, Adel Bouhraoua, Mahta Mehdiabadi, Damiano Clementel, Alexander Miguel Monzon, Alex S. Holehouse, Daniel A. Griffith, Ryan J. Emenecker, Ashwini Patil, Ronesh Sharma, Tatsuhiko Tsunoda, Alok Sharma, Yi Jun Tang, Bin Liu, Claudio Mirabello, Björn Wallner, Burkhard Rost, Dagmar Ilzhöfer, Maria Littmann, Michael Heinzinger, Lea I M. Krautheimer, Michael Bernhofer, Liam J. McGuffin, Isabelle Callebaut, Tristan Bitard Feildel, Jian Liu, Jianlin Cheng, Zhiye Guo, Jinbo Xu, Sheng Wang, Nawar Malhis, Jörg Gsponer, Chol-Song Kim, Kun-Sop Han, Myong-Chol Ma, Lukasz A. Kurgan, Sina Ghadermarzi, Akila Katuwawala, Bi Zhao, Zhenling Peng, Zhonghua Wu, Gang Hu, Kui Wang, Md. Tamjidul Hoque, Md Wasi Ul Kabir, Michele Vendruscolo, Pietro Sormanni, Min Li, Fuhao Zhang, Pengzhen Jia, Yida Wang, Michail Yu. Lobanov, Oxana V. Galzitskaya, Wim F. Vranken, Adrián Díaz, Thomas Litfin, Yaoqi Zhou, Jack Hanson, Kuldip K. Paliwal, Zsuzsanna Dosztányi, Gábor Erdös, Silvio C. E. Tosatto, Damiano Piovesan

Nucleic Acids Res., July, 2023

A Depth-Wise Separable U-Net Architecture with Multiscale Filters to Detect Sinkholes.

Rasha Alshawi, Md. Tamjidul Hoque, Maik C. Flanagin

Remote. Sens., March, 2023

Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect Segmentation.

Rasha Alshawi, Md. Tamjidul Hoque, Md Meftahul Ferdaus, Mahdi Abdelguerfi, Kendall N. Niles, Ken Prathak, Joe Tom, Jordan Klein, Murtada Mousa, Johny Javier Lopez

CoRR, 2023

Deep Learning Approach for Accurate Segmentation of Sand Boils in Levee Systems.

Manisha Panta, Md. Tamjidul Hoque, Kendall N. Niles, Joe Tom, Mahdi Abdelguerfi, Maik Flanagin

IEEE Access, 2023

IterLUNet: Deep Learning Architecture for Pixel-Wise Crack Detection in Levee Systems.

Manisha Panta, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Maik C. Flanagin

IEEE Access, 2023

Prediction of Phi and Psi Angle Fluctuations from Protein Sequences.

Md Wasi Ul Kabir, Duaa Mohammad Alawad, Avdesh Mishra, Md. Tamjidul Hoque

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022

Machine Learning Based Restaurant Sales Forecasting.

Austin Schmidt, Md Wasi Ul Kabir, Md. Tamjidul Hoque

Mach. Learn. Knowl. Extr., 2022

Residual Learning for Marine Mammal Classification.

Daniel T. Murphy, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi

IEEE Access, 2022

Pixel-Level Crack Detection in Levee Systems: A Comparative Study.

Manisha Panta, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Maik C. Flanagin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Multi-Channel Residual Learning for Marine Mammal Vocalization Classification.

Daniel T. Murphy, Elias Ioup, Christopher J. Michael, Md. Tamjidul Hoque, Mahdi Abdelguerfi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

A LightGBM based Forecasting of Dominant Wave Periods in Oceanic Waters.

Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Julian Simeonov

CoRR, 2021

Forecasting Significant Wave Heights in Oceanic Waters.

Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Julian Simeonov

CoRR, 2021

diSBPred: A machine learning based approach for disulfide bond prediction.

Avdesh Mishra, Md Wasi Ul Kabir, Md. Tamjidul Hoque

Comput. Biol. Chem., 2021

ClassifyTE: a stacking-based prediction of hierarchical classification of transposable elements.

Manisha Panta, Avdesh Mishra, Md. Tamjidul Hoque, Joel Atallah

Bioinform., 2021

AIRBP: Accurate identification of RNA-binding proteins using machine learning techniques.

Avdesh Mishra, Reecha Khanal, Md Wasi Ul Kabir, Tamjidul Hoque

Artif. Intell. Medicine, 2021

2020

Hierarchy-Based File Fragment Classification.

Manish Bhatt, Avdesh Mishra, Md Wasi Ul Kabir, S. E. Blake-Gatto, Rishav Rajendra, Md. Tamjidul Hoque, Irfan Ahmed

Mach. Learn. Knowl. Extr., 2020

AIBH: Accurate Identification of Brain Hemorrhage Using Genetic Algorithm Based Feature Selection and Stacking.

Duaa Mohammad Alawad, Avdesh Mishra, Md. Tamjidul Hoque

Mach. Learn. Knowl. Extr., 2020

Random Forest Classifier Based Prediction of Rogue waves on Deep Oceans.

Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Julian Simeonov, Mahdi Abdelguerfi

CoRR, 2020

Flight Data of Airplane for Wind Forecasting.

Astha Sharma, Tamjidul Hoque, Elias Ioup, Mahdi Abdelguerfi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Levee-Crack Detection from Satellite or Drone Imagery Using Machine Learning Approaches.

Aditi Kuchi, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Maik C. Flanagin

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Forecasting Rogue Waves in Oceanic Waters.

Pujan Pokhrel, Elias Ioup, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Julian Simeonov

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

A Machine Learning Approach to Determine Oyster Vessel Behavior.

Devin Joseph Frey, Avdesh Mishra, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Thomas Soniat

Mach. Learn. Knowl. Extr., 2019

Machine Learning based Prediction of Hierarchical Classification of Transposable Elements.

Manisha Panta, Avdesh Mishra, Md. Tamjidul Hoque, Joel Atallah

CoRR, 2019

StackDPPred: a stacking based prediction of DNA-binding protein from sequence.

Avdesh Mishra, Pujan Pokhrel, Md. Tamjidul Hoque

Bioinform., 2019

Machine learning applications in detecting rip channels from images.

Corey Maryan, Md. Tamjidul Hoque, Christopher J. Michael, Elias Ioup, Mahdi Abdelguerfi

Appl. Soft Comput., 2019

Machine learning applications in detecting sand boils from images.

Aditi Kuchi, Md. Tamjidul Hoque, Mahdi Abdelguerfi, Maik Flanagin

Array, 2019

2018

PBRpredict-Suite: a suite of models to predict peptide-recognition domain residues from protein sequence.

Sumaiya Iqbal, Md. Tamjidul Hoque

Bioinform., 2018

Multiclass patent document classification.

Chaitanya Anne, Avdesh Mishra, Md. Tamjidul Hoque, Shengru Tu

Artif. Intell. Res., 2018

2017

hGRGA: A scalable genetic algorithm using homologous gene schema replacement.

Sumaiya Iqbal, Tamjidul Hoque

Swarm Evol. Comput., 2017

Genetic algorithm-based improved sampling for protein structure prediction.

Md. Tamjidul Hoque, Sumaiya Iqbal

Int. J. Bio Inspired Comput., 2017

2016

An Enhanced Genetic Algorithm for Ab Initio Protein Structure Prediction.

Mahmood A. Rashid, Firas Khatib, Md. Tamjidul Hoque, Abdul Sattar

IEEE Trans. Evol. Comput., 2016

sDFIRE: Sequence-specific statistical energy function for protein structure prediction by decoy selections.

Md. Tamjidul Hoque, Yuedong Yang, Avdesh Mishra, Yaoqi Zhou

J. Comput. Chem., 2016

Guided macro-mutation in a graded energy based genetic algorithm for protein structure prediction.

Mahmood A. Rashid, Sumaiya Iqbal, Firas Khatib, Md. Tamjidul Hoque, Abdul Sattar

Comput. Biol. Chem., 2016

A Homologous Gene Replacement based Genetic Algorithm.

Sumaiya Iqbal, Md. Tamjidul Hoque

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2014

Association Rules Mining Based Clinical Observations.

Mahmood A. Rashid, Md. Tamjidul Hoque, Abdul Sattar

CoRR, 2014

A Parallel Framework for Multipoint Spiral Search in <i>ab Initio</i> Protein Structure Prediction.

Mahmood A. Rashid, Swakkhar Shatabda, M. A. Hakim Newton, Tamjidul Hoque, Abdul Sattar

Adv. Bioinformatics, 2014

Amino Acids Pattern-Biased Spiral Search for Protein Structure Prediction.

Mahmood A. Rashid, Md. Masbaul Alam Polash, M. A. Hakim Newton, Md. Tamjidul Hoque, Abdul Sattar

Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

2013

Mixing Energy Models in Genetic Algorithms for On-Lattice Protein Structure Prediction.

Mahmood A. Rashid, M. A. Hakim Newton, Md. Tamjidul Hoque, Abdul Sattar

CoRR, 2013

Spiral search: a hydrophobic-core directed local search for simplified PSP on 3D FCC lattice.

Mahmood A. Rashid, M. A. Hakim Newton, Tamjidul Hoque, Swakkhar Shatabda, Duc Nghia Pham, Abdul Sattar

BMC Bioinform., 2013

Collaborative Parallel Local Search for Simplified Protein Structure Prediction.

Mahmood A. Rashid, M. A. Hakim Newton, Md. Tamjidul Hoque, Abdul Sattar

Proceedings of the 12th IEEE International Conference on Trust, 2013

A local search embedded genetic algorithm for simplified protein structure prediction.

Mahmood A. Rashid, M. A. Hakim Newton, Tamjidul Hoque, Abdul Sattar

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Refining Genetic Algorithm twin removal for high-resolution protein structure prediction.

Trent Higgs, Bela Stantic, Tamjidul Hoque, Abdul Sattar

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Benefits of Genetic Algorithm Feature-based Resampling for Protein Structure Prediction.

Trent Higgs, Bela Stantic, Tamjidul Hoque, Abdul Sattar

Proceedings of the BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Vilamoura, Algarve, Portugal, 1, 2012

Random-walk: a stagnation recovery technique for simplified protein structure prediction.

Mahmood A. Rashid, Swakkhar Shatabda, M. A. Hakim Newton, Tamjidul Hoque, Duc Nghia Pham, Abdul Sattar

Proceedings of the ACM International Conference on Bioinformatics, 2012

A New Genetic Algorithm for Simplified Protein Structure Prediction.

Mahmood A. Rashid, Md. Tamjidul Hoque, M. A. Hakim Newton, Duc Nghia Pham, Abdul Sattar

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011

Twin Removal in Genetic Algorithms for Protein Structure Prediction Using Low-Resolution Model.

Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

2010

DFS-generated pathways in GA crossover for protein structure prediction.

Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar, Vicky M. Avery

Neurocomputing, 2010

Genetic algorithm feature-based resampling for protein structure prediction.

Trent Higgs, Bela Stantic, Tamjidul Hoque, Abdul Sattar

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Genetic Algorithm in<i>Ab Initio</i> Protein Structure Prediction Using Low Resolution Model: A Review.

Tamjidul Hoque, Madhu Chetty, Abdul Sattar

Proceedings of the Biomedical Data and Applications, 2009

Extended HP Model for Protein Structure Prediction.

Tamjidul Hoque, Madhu Chetty, Abdul Sattar

J. Comput. Biol., 2009

2008

DFS Based Partial Pathways in GA for Protein Structure Prediction.

Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar

Proceedings of the Pattern Recognition in Bioinformatics, 2008

2007

Generalized Schemata Theorem Incorporating Twin Removal for Protein Structure Prediction.

Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley

Proceedings of the Pattern Recognition in Bioinformatics, 2007

Protein folding prediction in 3D FCC HP lattice model using genetic algorithm.

Tamjidul Hoque, Madhu Chetty, Abdul Sattar

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Non-Isomorphic Coding in Lattice Model and its Impact for Protein Folding Prediction Using Genetic Algorithm.

Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley

Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

A Guided Genetic Algorithm for Protein Folding Prediction Using 3D Hydrophobic-Hydrophilic Model.

Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

A Hybrid Genetic Algorithm for 2D FCC Hydrophobic-Hydrophilic Lattice Model to Predict Protein Folding.

Tamjidul Hoque, Madhu Chetty, Laurence S. Dooley

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Efficient Computation of Fitness Function by Pruning in Hydrophobic-Hydrophilic Model.

Tamjidul Hoque, Madhu Chetty, Laurence Dooley

Proceedings of the Biological and Medical Data Analysis, 6th International Symposium, 2005

A new guided genetic algorithm for 2D hydrophobic-hydrophilic model to predict protein folding.

Tamjidul Hoque, Madhu Chetty, Laurence Dooley

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004

Partially Computed Fitness Function Based Genetic Algorithm for Hydrophobic-Hydrophilic Model.

Tamjidul Hoque, Madhu Chetty, Laurence Dooley

Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

An Efficient Algorithm for Computing the Fitness Function of a Hydrophobic-Hydrophilic Model.

Tamjidul Hoque, Madhu Chetty, Laurence Dooley

Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004