RESEARCHER PROFILE

Irfan Javid

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University of Poonch Rawalakot

Artificial Intelligence in HealthcareECG Monitoring and AnalysisData Mining and Machine Learning ApplicationsSentiment Analysis and Opinion MiningRecommender Systems and Techniques

Irfan Javid works in Artificial Intelligence in Healthcare, ECG Monitoring and Analysis, Data Mining and Machine Learning Applications, Sentiment Analysis and Opinion Mining, Recommender Systems and Techniques. Recorded institutional associations include University of Poonch Rawalakot.

26Publications
202Citations
7H-index

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

  1. Enhanced Accuracy of Heart Disease Prediction using Machine Learning and Recurrent Neural Networks Ensemble Majority Voting Method

    2020 · 86 citations
  2. Predicting Financial Prices of Stock Market using Recurrent Convolutional Neural Networks

    2020 · 29 citations
  3. Deep transfer learning with multimodal embedding to tackle cold-start and sparsity issues in recommendation system

    2022 · 13 citations
  4. An improved gated recurrent unit based on auto encoder for sentiment analysis

    2023 · 13 citations
  5. Optimally organized GRU-deep learning model with Chi2 feature selection for heart disease prediction

    2021 · 12 citations
  6. Systematic Review for Phonocardiography Classification Based on Machine Learning

    2023 · 10 citations
  7. Study on the Pakistan stock market using a new stock crisis prediction method

    2022 · 9 citations
  8. A Hybrid Solution For The Cold Start Problem In Recommendation

    2023 · 7 citations
  9. CNN with New Spatial Pyramid Pooling and Advanced Filter-Based Techniques: Revolutionizing Traffic Monitoring via Aerial Images

    2023 · 6 citations
  10. Developing Novel T-Swish Activation Function in Deep Learning

    2022 · 4 citations
  11. Deep Learning GRU Model and Random Forest for Screening Out Key Attributes of Cardiovascular Disease

    2022 · 3 citations
  12. An ARIMA and XGBoost Model Utilized for Forecasting Municipal Solid Waste Generation

    2023 · 3 citations
  13. RETRACTED: Data pre-processing for cardiovascular disease classification: A systematic literature review

    2022 · 2 citations
  14. An In-Depth Strategy using Deep Generative Adversarial Networks for Addressing the Cold Start in Movie Recommendation Systems

    2024 · 1 citations
  15. Filter Method Feature Selection Techniques for Solid Waste Prediction Based on GRU Deep Learning Model

    2024 · 1 citations
  16. Phonocardiogram classification based on machine learning and deep learning using hybrid features extraction techniques

    2026 · 1 citations
  17. Beyond accuracy: a clinically safe, uncertainty-aware EfficientNetB3 framework for interpretable pneumonia screening

    2026 · 1 citations
  18. Quaternion-based quantification of 3D angular spread in multipath MIMO channels

    2026 · 1 citations
  19. An Improved Deep Neural Network Based on Combination of GRU and Auto Encoder for Sentiment Analysis

    2023 · 0 citations
  20. Robust Heart Disease Prognosis: Integrating Extended Isolation Forest Outlier Detection with Advanced Prediction Models

    2024 · 0 citations
  21. A Dynamic Activation Function for Enhancing Deep Learning Performance in Recommendations

    2025 · 0 citations
  22. An Explainable Multi-class Framework for Mental Health Text Classification Using NLP and Machine Learning

    2026 · 0 citations
  23. MindSight: A Neuro-Symbolic Ensemble Framework Fo Explainable Mental Health Profiling in Code-Switched Roman Urdu

    2026 · 0 citations
  24. Hybrid BERT–LSTM for Joint Sentiment Analysis and Mental Health Category Detection

    2026 · 0 citations

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