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Advances in Computational Intelligence [electronic resource] : First International Conference, ICACI 2023, Hyderabad, India, December 15–16, 2023, Proceedings / edited by K. Venu Gopal Rao, A. V. Krishna Prasad, Seelam Ch. Vijaya Bhaskar.

Contributor(s): Material type: TextSeries: Communications in Computer and Information Science ; 2164Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XI, 125 p. 89 illus., 75 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031700019
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:
  • QA76.9.D343
Online resources:
Contents:
-- Smart Helmet. -- Brain Tumor Detection Using CNN. -- An Efficient Machine Learning Enabled Algorithm to Predict Student Performance in Higher Education. -- Accelerating Neural Network Model Deployment with Transfer Learning Techniques using Cloud Edge – Smart IoT Architecture. -- Machine Learning Revolutionizing in Gestational Diabetes Care. -- Detection of Malwares on Android Devices Using A Genetic Algorithm – Based Feature Selection And Machine Learning. -- Deep Learning – Based Health Care System Using Chest X – Ray Scans for Image Classification. -- Advancements and Challenges in Text Summarization: An Overview of Methods and Strategies in Brief. -- A Novel Methodology to Predict and Detect the Consumption of Power for Smart Commercial Areas using Stacked GRU and LSTM (called Deep GRULS Architecture).
In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the First International Conference on Advances in Computational Intelligence, ICACI 2023, held in Hyderabad, India, during December 15–16, 2023. The 7 full papers and 2 short papers included in this book were carefully reviewed and selected from 234 submissions. These papers focus on the diverse applications of Data engineering in various areas such as Data Mining, Artificial Intelligence, Natural Language Processing, Pattern Recognition, and Machine Learning.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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-- Smart Helmet. -- Brain Tumor Detection Using CNN. -- An Efficient Machine Learning Enabled Algorithm to Predict Student Performance in Higher Education. -- Accelerating Neural Network Model Deployment with Transfer Learning Techniques using Cloud Edge – Smart IoT Architecture. -- Machine Learning Revolutionizing in Gestational Diabetes Care. -- Detection of Malwares on Android Devices Using A Genetic Algorithm – Based Feature Selection And Machine Learning. -- Deep Learning – Based Health Care System Using Chest X – Ray Scans for Image Classification. -- Advancements and Challenges in Text Summarization: An Overview of Methods and Strategies in Brief. -- A Novel Methodology to Predict and Detect the Consumption of Power for Smart Commercial Areas using Stacked GRU and LSTM (called Deep GRULS Architecture).

This book constitutes the refereed proceedings of the First International Conference on Advances in Computational Intelligence, ICACI 2023, held in Hyderabad, India, during December 15–16, 2023. The 7 full papers and 2 short papers included in this book were carefully reviewed and selected from 234 submissions. These papers focus on the diverse applications of Data engineering in various areas such as Data Mining, Artificial Intelligence, Natural Language Processing, Pattern Recognition, and Machine Learning.

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Biblioteca Universității "Dunărea de Jos" din Galați