RESEARCHER PROFILE

Gabriel James

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Topfaith University

Artificial Intelligence in HealthcareTechnostress in Professional SettingsEmotion and Mood RecognitionData Mining and Machine Learning ApplicationsAI and HR Technologies

Gabriel James works in Artificial Intelligence in Healthcare, Technostress in Professional Settings, Emotion and Mood Recognition, Data Mining and Machine Learning Applications, AI and HR Technologies. Recorded institutional associations include Topfaith University.

9Publications
11Citations
2H-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. Analysis of support vector machine and random forest models for classification of the impact of technostress in covid and post-covid era

    2024 · 5 citations
  2. Analysis of support vector machine and random forest models for predicting the scalability of a broadband network

    2024 · 5 citations
  3. NLP-Semantic Machine Learning-Based System for Intelligent Classification of Professional Skill-Sets for Efficient Human Resource Management Process

    2025 · 1 citations
  4. Enhanced machine learning model for classification of the impact of technostress in the COVID and post-COVID era

    2025 · 0 citations
  5. A fuzzy-optimized multi-level random forest (FOMRF) model for the classification of the impact of technostress

    2025 · 0 citations
  6. Artificial Neural Network for Investigating the Impact of EMF on Ignition of Flammable Vapors in Gas Stations

    2025 · 0 citations
  7. Effective Classification of Diabetes Mellitus Using Support Vector Machine Algorithm

    2024 · 0 citations
  8. Convolutional Neural Network-based Model for Intrusion Detection in Poultry Farms

    2025 · 0 citations
  9. Intelligent online pairing platform for patients with medical consultants

    2025 · 0 citations

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