Bilde av Sekh, Arif Ahmed
Bilde av Sekh, Arif Ahmed
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Arif Ahmed Sekh



  • Jonathan Hira, Bhupender Singh, Tirthankar Halder, Anel Mahmutovic, Clément Ajayi, Arif Ahmed Sekh m.fl.:
    Single-cell phenotypic profiling and backtracing exposes and predicts clinically relevant subpopulations in isogenic Staphylococcus aureus communities
    Communications Biology 2024 ARKIV / DOI
  • Himanshu Singh, Arif Ahmed Sekh, Frank Melandsø, Anowarul Habib :
    Ultrasonic image denoising using machine learning in point contact excitation and detection method
    Ultrasonics 2022 ARKIV / DOI
  • Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia m.fl.:
    Virtual labeling of mitochondria in living cells using correlative imaging and physics-guided deep learning
    Biomedical Optics Express 2022 ARKIV / DOI
  • Soumyadeep Samonto, Samarjit Kar, Sagarika Pal, Arif Ahmed Sekh, Oscar Castillo, Gyei-Kark Park :
    Best fit membership function for designing fuzzy logic controller aided intelligent overcurrent fault protection scheme
    International Transactions on Electrical Energy Systems 2021 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
  • 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
  • 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
  • Bidyut Das, Arif Ahmed Sekh, Mukta Majumder, Santanu Phadikar :
    Can deep learning solve a preschool image understanding problem?
    Neural Computing & Applications 2021 DOI
  • Arif Ahmed Sekh, Ida Sundvor Opstad, Gustav Godtliebsen, Åsa Birna Birgisdottir, Balpreet Singh Ahluwalia, Krishna Agarwal m.fl.:
    Physics-based machine learning for subcellular segmentation in living cells
    Nature Machine Intelligence 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 2021 ARKIV / DOI
  • Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia m.fl.:
    Digital Staining of Mitochondria in Label-free Live-cell Microscopy
    Springer 2021 DOI
  • Bidyut Das, Mukta Majumder, Santanu Phadikar, Arif Ahmed Sekh :
    Automatic question generation and answer assessment: a survey
    Research and Practice in Technology Enhanced Learning (RPTL) 2021 ARKIV / DOI
  • Sk Maidul Islam, Subhankar Joardar, Debi Prosad Dogra, Arif Ahmed Sekh :
    Ornament Image Retrieval Using Multimodal Fusion
    SN Computer Science 2021 DOI
  • Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal m.fl.:
    Learning nanoscale motion patterns of vesicles in living cells
    IEEE (Institute of Electrical and Electronics Engineers) 2020 ARKIV / 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 2020 ARKIV / DOI
  • Sourav Mondal, Arif Ahmed Sekh, Sudip Kumar Naskar :
    Solving Arithmetic Word Problems: A Deep Learning Based Approach
    Journal of Intelligent & Fuzzy Systems 31. august 2020 DOI
  • Arif Ahmed Sekh, Debi Prasad Dogra, Samarjit Kar, Partha Pratim Roy :
    Video trajectory analysis using unsupervised clustering and multi-criteria ranking
    Soft Computing - A Fusion of Foundations, Methodologies and Applications 13. mai 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
  • Soumyadeep Samonto, Samarjit Kar, Sagarika Pal, Arif Ahmed Sekh :
    Fuzzy logic based multistage relaying model for cascaded intelligent fault protection scheme
    Electric power systems research 2020 DOI
  • Arif Ahmed Sekh, Debi Prasad Dogra, Heeseung Choi, Seungho Chae, Ig-Jae Kim :
    Person re-identification in videos by analyzing spatio-temporal tubes
    Multimedia Tools and Applications 23. juni 2020 ARKIV / DOI
  • Maji Debasis, Arif Ahmed Sekh :
    Automatic Grading of Retinal Blood Vessel in Deep Retinal Image Diagnosis
    Journal of Medical Systems 01. september 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
  • 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
  • Bidyut Das, Mukta Majumder, Santanu Phadikar, Arif Ahmed Sekh :
    Automatic generation of fill-in-the-blank question with corpus-based distractors for e-assessment to enhance learning
    Computer Applications in Engineering Education 2019 ARKIV / DOI
  • Ida Sundvor Opstad, Gustav Godtliebsen, Arif Ahmed Sekh :
    Replication Data for: Physics based machine learning for sub-cellular segmentation in living cells
    2021 DATA
  • Eshan Samanta, Arif Ahmed Sekh, Debnarayan Khatua :
    An Expert System-Based Automation in Indian Traction System for a One Way Single Platform Station by Introducing PLC
    IGI Global 2020 DOI
  • Arif Ahmed Sekh :
    Dynamic predictive neural network for COVID-19 outbreak prediction
    2020
  • Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad :
    Data-intelligence for microscopy data
    2020
  • Arif Ahmed Sekh :
    Open Source Tools for Machine Learning Researchers
    2020
  • Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa B. Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal m.fl.:
    Learning Nanoscale Motion Patterns of Vesicles in Living Cells
    2020 ARKIV

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