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Informatihka instituhtta dilip.prasad@uit.no +4777645694 Tromsø REALF A 144

Dilip K. Prasad



  • Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal :
    Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering
    IEEE Transactions on Computational Imaging 2022 ARKIV / DOI
  • Huixu Dong, Dilip K. Prasad, I-Ming Chen :
    Object Pose Estimation via Pruned Hough Forest with Combined Split Schemes for Robotic Grasp
    IEEE Transactions on Automation Science and Engineering 2021 DOI
  • Suyog Jadhav, Sebastian Andres Acuña Maldonado, Ida Sundvor Opstad, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad :
    Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning
    Biomedical Optics Express 2021 ARKIV / DOI
  • Deepa Joshi, Ankit Butola, Sheetal Raosaheb Kanade, Dilip K. Prasad, Mithra Amitha Mithra, N.K. Singh et al.:
    Label-free non-invasive classification of rice seeds using optical coherence tomography assisted with deep neural network
    Optics and Laser Technology 2021 ARKIV / DOI
  • Jeow Li Huan, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad :
    Emotionally charged text classification with deep learning and sentiment semantic
    Neural computing & applications (Print) 2021 ARKIV / DOI
  • Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia et al.:
    Digital Staining of Mitochondria in Label-free Live-cell Microscopy
    Springer 2021 DOI
  • Divij Singh, Ayush Somani, Alexander Horsch, Dilip K. Prasad :
    T-MIS: Transparency Adaptation in Medical Image Segmentation
    Nordic Machine Intelligence (NMI) 2021 DOI
  • Pranab Kanti Roy, Hiranmoy Mondal, Ashis Mallick, Dilip K. Prasad :
    Inverse and efficiency of heat transfer convex fin with multiple nonlinearities
    Heat Transfer 2021 ARKIV / DOI
  • S.W Jun, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad :
    seMLP: Self-Evolving Multi-Layer Perceptron in Stock Trading Decision Making
    SN Computer Science 2021 ARKIV / DOI
  • Q.E. Zhe, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad :
    Recurrent Self-evolving Takagi–Sugeno–Kan Fuzzy Neural Network (RST-FNN) based Type-2 Diabetic Modeling
    Springer 2021 DOI
  • Soham Chattopadhyay, Laila Zary, Chai Quek, Dilip K. Prasad :
    Motivation detection using EEG signal analysis by residual-in-residual convolutional neural network
    Expert Systems With Applications 2021 ARKIV / DOI
  • Ratnabali Pal, Arif Ahmed Sekh, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad :
    Topic-based Video Analysis: A Survey
    ACM Computing Surveys 2021 FULLTEKST / ARKIV / DOI
  • Hui Xue, Bjørn-Morten Batalden, Puneet Sharma, Jarle André Johansen, Dilip K. Prasad :
    Biosignal-Based Driving Skill Classification Using Machine Learning: A Case Study of Maritime Navigation
    Applied Sciences 2021 ARKIV / DOI
  • Arif Ahmed Sekh, Ida Sundvor Opstad, Gustav Godtliebsen, Åsa Birna Birgisdottir, Balpreet Singh Ahluwalia, Krishna Agarwal et al.:
    Physics-based machine learning for subcellular segmentation in living cells
    Nature Machine Intelligence 2021 ARKIV / DOI
  • Dilip K. Prasad, Huixu Dong, Deepu Rajan, Chai Quek :
    Are object detection assessment criteria ready for maritime computer vision?
    IEEE transactions on intelligent transportation systems (Print) 2020 ARKIV / DOI
  • Ratnabali Pal, Arif Ahmed Sekh, Samarjit Kar, Dilip K. Prasad :
    Neural Network Based Country Wise Risk Prediction of COVID-19
    Applied Sciences 2020 ARKIV / DOI
  • Florian Ströhl, Suyog Jadhav, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad :
    Object detection neural network improves Fourier ptychography reconstruction
    Optics Express 2020 ARKIV / DOI
  • Ankit Butola, Sheetal Raosaheb Kanade, Sunil Bhatt, Vishesh Kumar Dubey, Anand Kumar, Azeem Ahmad et al.:
    High space-bandwidth in quantitative phase imaging using partially spatially coherent digital holographic microscopy and a deep neural network
    Optics Express 2020 ARKIV / DOI
  • Mei Chee Leong, Dilip K. Prasad, Yong Tsui Lee, Feng Lin :
    Semi-CNN architecture for effective spatio-temporal Learning in action recognition
    Applied Sciences 2020 ARKIV / DOI
  • Arif Ahmed Sekh, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad :
    ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification
    Cognitive Systems Research 2020 ARKIV / DOI
  • Arif Ahmed Sekh, Debi Prasad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad :
    Can We Automate Diagrammatic Reasoning?
    Pattern Recognition 2020 ARKIV / DOI
  • Ankit Butola, Daria Popova, Dilip K. Prasad, Azeem Ahmad, Anowarul Habib, Jean-Claude Tinguely et al.:
    High spatially sensitive quantitative phase imaging assisted with deep neural network for classification of human spermatozoa under stressed condition
    Scientific Reports 04. Aug 2020 ARKIV / DOI
  • Somdip Dey, Amit Kumar Singh, Dilip K. Prasad, Klaus Dieter McDonald-Maier :
    IRON-MAN: An Approach to Perform Temporal Motionless Analysis of Video Using CNN in MPSoC
    IEEE Access 2020 ARKIV / DOI
  • Mohammad Ashrafi, Dilip K. Prasad, Chai Quek :
    IT2-GSETSK: An evolving interval Type-II TSK fuzzy neural system for online modeling of noisy data
    Neurocomputing 2020 DOI
  • Somdip Dey, Amit Kumar Singh, Dilip K. Prasad, Klaus McDonald-Maier :
    Temporal motionless analysis of video using CNN in MPSoC
    Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors 2020 DOI
  • Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal et al.:
    Learning nanoscale motion patterns of vesicles in living cells
    IEEE (Institute of Electrical and Electronics Engineers) 2020 DOI
  • Feng Liu, Arif Ahmed Sekh, Chai Quek, Geok See Ng, Dilip K. Prasad :
    RS-HeRR: a rough set-based Hebbian rule reduction neuro-fuzzy system
    Neural computing & applications (Print) 2020 ARKIV / DOI
  • Ashis Mallick, Dilip K. Prasad, PP Behera :
    Stresses in radiative annular fin under thermal loading and its inverse modeling using sine cosine algorithm (SCA)
    Journal of thermal stresses 2019 DOI
  • Dilip K. Prasad, CK Prasath, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek :
    Object detection in maritime environment: Performance evaluation of background subtraction methods
    IEEE transactions on intelligent transportation systems (Print) 2019 DOI
  • Huixu Dong, Ehsan Asadi, Guangbin Sun, Dilip K. Prasad, I-Ming Chen :
    Real-time Robotic Manipulation of Cylindrical Objects in Dynamic Scenarios through Elliptic Shape Primitives
    IEEE Transactions on Robotics 2019 DOI
  • Kajal Kansal, AV Subramanyam, Dilip K. Prasad, Mohan Kankanhalli :
    CARF-Net: CNN Attention and RNN Fusion Network for Video-Based Person Re-identification
    Journal of Electronic Imaging (JEI) 2019 DOI
  • Somdip Dey, Amit Kumar Singh, Dilip K. Prasad, M.-M. Klaus :
    SoCodeCNN: Program Source Code for Visual CNN Classification Using Computer Vision Methodology
    IEEE Access 2019 ARKIV / DOI
  • Ashis Mallick, Rajiv Ranjan, Dilip K. Prasad :
    Inverse estimation of variable thermal parameters in a functionally graded annular fin using dragon fly optimization
    Inverse Problems in Science and Engineering 2019 DOI
  • Huixu Dong, Chen Qiu, Dilip K. Prasad, Ye Pan, Jiansheng Dai, I-Ming Chen :
    "Enabling grasp action: Generalized quality evaluation of grasp stability via contact stiffness from contact mechanics insight
    Mechanism and Machine Theory 2019 DOI
  • Gaurav Tripathi, Anowarul Habib, Krishna Agarwal, Dilip K. Prasad :
    Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals
    Sensors 2019 ARKIV / DOI
  • Divij Singh, Ayush Somani, Alexander Horsch, Dilip K. Prasad :
    Performance improvement in deep learning models for outdoor semantic segmentation for autonomous driving for unstructured environment
    2021
  • Dilip K. Prasad :
    Physics based AI - 101
    2021
  • Dilip K. Prasad :
    Performing physics-based AI for ground truth hard sub-cellular organelle segmentation using simulated expert
    2021
  • Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad :
    Data-intelligence for microscopy data
    2020
  • Ayush Singh, Ajay Bhave, Dilip K. Prasad :
    Single image dehazing for a variety of haze scenarios using back projected pyramid network
    2020
  • SW Pang, Chai Quek, Dilip K. Prasad :
    GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism for Fuzzy Neural Networks
    2020 FULLTEKST
  • Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa B. Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal et al.:
    Learning Nanoscale Motion Patterns of Vesicles in Living Cells
    2020 ARKIV
  • Sebastian Andres Acuña Maldonado, G M A Mehedi Hussain, Fred Godtliebsen, Balpreet Singh Ahluwalia, Hoai Phuong Ha, Dilip K. Prasad et al.:
    Multiple Signal Classiflcation: Challenges on the Route from Millimeter Resolution to Nanometer Resolution
    2019
  • Harshit Maharwar, Krishna Agarwal, Dilip K. Prasad, Frank Melandsø, Anowarul Habib :
    Subsurface defect imaging in PZT ceramics using dual point contact excitation and detection
    2019

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