Publications

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A
A, JV, B JP.  2022.  An End-to-End Deep Learning Pipeline for Assigning Secondary Structure in Proteins. Journal of Computational Biophysics and Chemistry . :1-14.
Antony, J. V., MYJPHPB.  2021.  Assigning secondary structure in proteins using AI. Journal of Molecular Modeling. 27(9):1-13.
Avinash kumar, J& PB, et al.  2018.  Early Detection of breast cancer using SVM with SMO algorithm, December 22. 3rd International Conference on Advanced Computing and Intelligent Engineering, Springer. , Bubhaneswar, India
B
B, JP.  2023.  An efficient spectral partitioning based static application mapping algorithm for 2D mesh NoCs. Concurr. Comput. Pract. Exp. . 35(26):e7838..
and B, RRJP, et al.  2019.  Odd-Even Based Adaptive Two-way Routing in Mesh NoCs for Hotspot Mitigation, January 5. In International Conference on Distributed Computing and Net-working (ICDCN ’19). , IISc, Bangalore, India.
B, JP, et al.  2023.  Deep Cleaner-A Few Shot Image Dataset Cleaner using Supervised Contrastive Learning. IEEE Access . 11:18727-18738..
B, JP, mathias A, Nufail M, Gopakumar G, Jaleel UC.  2016.  GPURFSCREEN: A GPU based virtual screening tool using Random Forest Classifier. Journal of Cheminformatics . 8(12):1-13.gpurfscreen_published_copy.pdf
B, JP.  2023.  DeepBindPPI: Protein–Protein Binding Site Prediction Using Attention Based Graph Convolutional Network. The Protein Journal .
B, JP.  2024.  Prior-guided generative adversarial network for mammogram synthesis.. Biomed. Signal Process. Control. 87:105456.
B, JP, K R, G G.  2016.  A Data parallel maximum common subgraph algorithm for Drug discovery applications, 23 MAY. IPDPS 2016. , Hyatt Hotel, Chicago, USAIPDPS 2016.pdf
B, JP.  2023.  Using Attention-UNet Models to Predict Protein Contact Maps. J. Comput. Biol. . 31(7):691-702.
B, JP.  2024.  Cone beam computed tomography enhancement using feature-embedded variational autoencoder with a perceptual loss function. Int. J. Imaging Syst. Technol. 33(5):1767-1778.
F
Francis, S, B JP.  2022.  ThoraxNet: a 3D U-Net based two-stage framework for OAR segmentation on thoracic CT images. Physical and Engineering Sciences inMedicine. :1-15.
Francis, Seenia, JPB, et al.  2021.  Monte Carlo Simulation of Linear Accelerator for Dosimetry Analysis. . , April 4. In: 2021 6th International Conference for Convergence in Technology (I2CT). IEEE,. , Mumbai
J
Jayaraj, PB, Lijin C.  2014.  Design and Implementation of a New CPU Governor - Power Aware Governor, 16 July . International Conference on Advances in Computing, Communication and Information Science (ACCIS-’14), TKMCE. , kollam, Kerala, Indiapower-aware_governor.pdf
Jayaraj, PB.  2016.  GPU BASED VIRTUAL SCREENING TECHNIQUES FOR FASTER DRUG DISCOVERY. , Calicut, Kerala, India: NIT Calicut
Jayaraj, PB, Gopalakrishnan R, V J.  2006.  Effective Performance Analysis and Visualization on Embedded Linux, 13 Nov 2012. IASTED. , DALLASiasted_linux_514-077.pdf
Jayaraj, et al.  2020.  Towards Protein Tertiary Structure Prediction using LSTM/BLSTM), Oct 14. in Fourth International Conference on Computing and Network Communications (CoCoNet'20), India . , Vellure, India: Springer
Jayaraj, PB, Aravind AN, Alex AT.  2013.  Fast Parallel Arithmetic Coding on GPU, 5 June. National Conference on Emerging Trends in Computing 2013 (NCETIC 13). , GEC TCR, Kerala, Indiaaravind.doc
Jayaraj, PB, Shijith T, Gopakumar G.  2014.  Finding hub proteins and their interactions in a Protein-Protein Interaction Network Using GPU, 28 July. International Conference on Emerging Trends in Drug Discovery - AICADD 2014, Amritha, Coimbatore. , Coimbatore, TN, Indiashijith.pdf
Jayaraj, SS&, et al.  2019.  An Improved Protein-Protein Docking Technique Using Multilevel Scoring Function, Oct 20. IEEE Region 10 Conference (TENCON), Kochi, India, 2019. , Kochi
Jayaraj, PB, Mohan S.  2014.  Cell Charge Approximation for Accelerating Molecular Simulation on CUDA-Enabled GPU. International Journal of Computer-Aided Technologies (IJCAx). 1(1):9-20.shyam_paper.pdf
Jayaraj, PB, et al.  2022.  Ligand Based Virtual Screening Using Self-organizing Maps. The Protein Journal. :1-11.
JISNA, JAYARAJVA; PB.  2021.  Protein structure prediction: conventional and deep learning perspectives. The Protein Journal. 40(4):522-544.
Jisna Antony, J& PB, et al.  2018.  Towards Building a Coordinate Clustered Library for Template-Based Modeling of Protein Structures, Dec 8. IEEE Recent Advances in Intelligent Computational Systems (RAICS).