Intelligent systems and sustainable computational models : concepts, architecture, and practical applications

著者

    • Nagarajan, Rajganesh (Professor of computer science and engineering)
    • Narayanasamy, Senthil Kumar
    • Thirunavukarasu, Ramkumar
    • Raj, Pethuru

書誌事項

Intelligent systems and sustainable computational models : concepts, architecture, and practical applications

edited by Rajganesh Nagarajan [and three others]

（An Auerbach book）

CRC Press, 2024

  • : hbk

大学図書館所蔵 件 / 全1件

この図書・雑誌をさがす

注記

Content Type: text (ncrcontent), Media Type: unmediated (ncrmedia), Carrier Type: volume (ncrcarrier)

Other editors: Senthil Kumar Narayanasamy, Ramkumar Thirunavukarasu, and Pethuru Raj

Includes bibliographical references and index

収録内容

  • Smart power management in data centers using machine learning techniques / Ashoka D V, Rekha P M, and Sudha P. R
  • Exploring the power of deep learning and big data in flood forecasting : state-of-the-art techniques and insights / Selva Jeba G and Chitra P
  • Storage management techniques for medical internet of things (MIoT) / S U Muthunagai, M S Girija, B Praveen Kumar, and R Anitha
  • A study on trending technologies for iot use cases aspires to build sustainable smart cities / Mangayarkarasi Ramaiah, R. Mohemmed Yousuf, R. Vishnukumar, and Adla Padma
  • Hydro-meteorological disasters prediction using deep learning techniques / Kaviya P and Chitra P
  • Assessment of ICT for sustainable developments with reference to fog and cloud computing / Shilpa H.K, Girija D.K., Rashmi M, and Yogeesh N
  • XAI for computational sustainability-concepts, opportunities, challenges, and future directions / B. Prabadevi, M. Pradeepa, and S. Kumaraperumal
  • Edge computing based intrusion detection systems : a review of applications, challenges, and opportunities / Posham Uppamma and Sweta Bhattacharya
  • Recent progress in IoT security-based challenges : a brief review / Suranjeet Chowdhury Avik, Abdullahi Chowdhury, Ranesh Naha, Shahriar Kaisar, Arunkumar Arulappan, and Aniket Mahanti
  • An approach to smart targeted advertising using a deep convolution neural network / Gayathri A, Ruby D, Manikandan N, and T Gopalakrishnan
  • Text classification of customer and salesperson conversations to predict sales using ensemble models / T. Chellatamilan and Neel Rakesh Choksi
  • Sentimental analysis on Amazon book reviews : a deep learning approach / Vijayalakshmi A, Koesha Sinha , Debopriya Bose
  • A deep LSTM recurrent learning approach for sentiment analysis of movie reviews / Khanaghavalle G R, Rajalakshmi V , R Jayabhaduri, A Kala, and P Sharon Femi
  • Cognitive intelligent personal learning assistants for enriching personalised learning / D. Ramalingam, Mahalakshmi Dharmalingam
  • Natural language processing for fake news detection using hybrid deep learning techniques / B. Valarmathi, Aditya Kocherlakota, Yuvraj Das, Aritam, N.Srinivasa Gupta, and V. Mohanraj
  • A comparative analysis of deep learning models for fake news detection and popularity prediction of articles / Jayanthi Devaraj
  • An internet of things (IoT) based smart maternity healthcare services / Vinothiyalakshmi P, Pallavi V, Rajganesh N, and Adityavignesh V
  • Internet of things (iot) based smart maternity healthcare services Vinothiyalakshmi / P, Pallavi V, Rajganesh N, and Adityavignesh V
  • Medical image analysis with vision transformers for downstream tasks and clinical report generation / Evans Kotei, Ramkumar Thirunavukarasu
  • Ensemble embedding and convolutional neural network based big data framework for structure prediction of proteins / Leo Dencelin Xavier, Ramkumar Thirunavukarasu, Rajganesh Nagarajan, and Mohamed Uvaze Ahamed Ayoobkhan
  • Deep learning based automated diagnosis and prescription of plant diseases / R. K. Kapila Vani, P. Geetha, D. Abhishek, K. Gokul Krishna, and V. Akaash
  • Intelligent farming through weather forecasting using deep learning techniques for enhancing crop productivity / Ezhilarasi V, Selvamuthukumaran S, and Srinivasan N
  • Plant disease detection and classification using deep learning approach for image-based data / Tamil Priya. D and Vijayarani. A
  • Deep learning based object detection in real time video / T Sukumar
  • Prediction of covid stages using data analysis and machine learning / Rajalakshmi Gurusamy, Siva Ranjani S, and Susan Shiny G
  • A statistical analysis of suitable drug for major drug resistance mutations in HIV-1 group / M Durga Shree N, Steve Mathew D A, Ramkumar Thirunavukarasu, and Arun Pandian J

関連文献： 1件中  1-1を表示

詳細情報

ページトップへ