Intelligent systems and sustainable computational models : concepts, architecture, and practical applications
著者
書誌事項
Intelligent systems and sustainable computational models : concepts, architecture, and practical applications
(An Auerbach book)
CRC Press, 2024
- : hbk
大学図書館所蔵 全1件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
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