প্রচ্ছদ

Microbial Data Intelligence and Computational Techniques for Sustainable Computing

This book offers information on intelligent and computational techniques for microbial data associated with plant microbes, human microbes etc. The main focus of this book is to provide an insight on building smart sustainable solutions for microbial technology using intelligent computational techni...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
সংস্থা লেখক: SpringerLink (Online service)
অন্যান্য লেখক: Khamparia, Aditya (Editor), Pandey, Babita (Editor), Pandey, Devendra Kumar (Editor), Gupta, Deepak (Editor)
বিন্যাস: বৈদ্যুতিক বৈদ্যুতিন গ্রন্থ
ভাষা:ইংরেজি
প্রকাশিত: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
সংস্করন:1st ed. 2024.
মালা:Microorganisms for Sustainability, 47
বিষয়গুলি:
Microbiology.
Industrial microbiology.
Microbiology > Technique.
Bioinformatics.
Industrial Microbiology.
Microbiology Techniques.
অনলাইন ব্যবহার করুন:https://doi.org/10.1007/978-981-99-9621-6
ট্যাগগুলো: ট্যাগ যুক্ত করুন
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
সূচিপত্রের সারণি:
  • 1. The Contribution of Artificial Intelligence to Drug Discovery: Current Progress and Prospects for the Future
  • 2. Prediction of Plant disease using Artificial Intelligence
  • 3. Computer Vision Based Remote Care of Microbiological Data Analysis
  • 4. A Comparative Study of Various Machine Learning (ML) Approaches for Fake News Detection in Web based Applications
  • 5. Analytics and Decision-Making Model Using ML For IoT Based Greenhouse Precision Management in Agriculture
  • 6. Distil-BERT based Text Classification for Automated Diagnosis of Mental Health Conditions
  • 7. An optimized hybrid ARIMA-LSTM model for time series forecasting of Agriculture production in INDIA
  • 8. An Exploratory Analysis of Machine Intelligence Enabled Plant Diseases Assessment
  • 9. Synergizing Smart Farming and Human Bioinformatics through IoT and Sensor Devices
  • 10. Deep learning assisted techniques for detection & prediction of colorectal cancer from medical images and microbial modality
  • 11. IoT Enabled Smart farming and human bioinformatics
  • 12. Smart farming and human bioinformatics system based on Context aware computing systems
  • 13. Plant Diseases Diagnosis with Artificial Intelligence (AI)
  • 14. Analyzing the Frontier of AI-Based Plant Disease Detection: Insights and Perspectives
  • 15. Fuzzy and Data Mining Methods for Enhancing Plant Productivity and Sustainability
  • 16. Plant Disease Diagnosis with Artificial Intelligence (AI)
  • 17. Sustainable AI driven Applications for Plant Care and Treatment
  • 18. Use Cases and Future Aspects of Intelligent Techniques in Microbe Data Analysis
  • 19. Early Crop Disease Identification Using Multi-Fork Tree Networks and Microbial Data Intelligence
  • 20. Guarding Maize: Vigilance Against Pathogens Early Identification, Detection and Prevention
  • 21. Comprehensive Analysis of Deep Learning Models for Plant Disease Prediction
  • 22. Enhancing Single-Cell Trajectory Inference and Microbial Data Intelligence
  • 23. AI assisted methods for protein structure prediction and analysis.

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