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Machine Learning and Autonomous Systems Proceedings of ICMLAS 2021
Title
Machine Learning and Autonomous Systems [electronic resource] : Proceedings of ICMLAS 2021 / edited by Joy Iong-Zong Chen, Haoxiang Wang, Ke-Lin Du, V. Suma.
ISBN
9789811679964
Edition
1st ed. 2022.
Publication
Singapore : Springer Singapore : Imprint: Springer, 2022.
Physical Description
1 online resource (XX, 653 p.) 375 illus., 266 illus. in color.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
This book involves a collection of selected papers presented at International Conference on Machine Learning and Autonomous Systems (ICMLAS 2021), held in Tamil Nadu, India, during 24-25 September 2021. It includes novel and innovative work from experts, practitioners, scientists and decision-makers from academia and industry. It covers selected papers in the area of emerging modern mobile robotic systems and intelligent information systems and autonomous systems in agriculture, health care, education, military and industries.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
March 07, 2022
Series
Smart Innovation, Systems and Technologies, 269
Contents
Utilization of Sensors for Energy Generation using Pressure or Vibrations
Modeling and Optimization of Discrete Evolutionary Systems of İnformation Security Management in a Random Environment
Gender Identification using Ensemble Linear Discriminant Analysis Algorithm based on Facial Features
Software Stack for Autonomous Vehicle: Motion Planning
Transformers for Speaker Recognition
Real-time Face Mask Detection using MobileNetV2 Classifier
Spoken Language Identification for Native Indian Languages using Deep Learning Techniques
Smart Attendance System using Machine Learning Algorithms
Novel Approach to Phishing Detection Using ML and Visual Similarity
Text Summarization of Articles using LSTM and Attention-based LSTM.
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