Automation and Autonomous System

CiiT International Journal of Automation and Autonomous System

Aim: Automation and Autonomous Systems focus on recitation fundamental developments in the field of Automation, with special prominence on autonomous systems. An important aim of this journal is to extend the state of the art in both symbolic and sensory based automation control and learning in the context of autonomous systems. Automation and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems. The Journal of Intelligent Automation Systems publishes original and peer reviewed contributions on theory, design, experiments, and applications in the area of Intelligent Automation Systems.

Scope: The scope of the journal includes developing technologies in Technology & Computing, Heuristic and AI Planning Strategies and Tools, Computational Theories of Learning, Intelligent System Architectures, Reasoning and Evolution, Automatic Control, Robotics, Parallel Processing, Programming Languages ,Software & Hardware Architectures, CAD Design & Testing ,Web Intelligence Applications ,Multimedia & Cognitive Informatics ,Data Mining and Machine Learning Tools, Knowledge Representation.

Print: ISSN 0974 – 9659 & Online: ISSN 0974 – 9551


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Vol 10, No 5 (2018)

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Table of Contents


Elevate: Autonomous Pollution Surveillance System PDF
Aanand Vardhan, Aashish Sharma, Anuradha Anuradha, Kavita Khanna 85-89
Analysis of Machine Learning Algorithms in Prediction of Cardiovascular Diseases PDF
Ashwini Biradar, N. Sushmitha, B M Sagar 90-92
A Survey on Wireless Transmission Technologies Used for Agriculture Monitoring PDF
G. P. Revathi, K. Vanishree 93-96
Smart Waste Management System PDF
Poornima B. Gupta, Dr. P. Ramakanth Kumar, B. S. Anisha 97-99
Vehicle Detection and Classification using Neural Network PDF
Deepa Sajjanar, B. S. Rekha, Dr. G. N. Srinivasan 100-104

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This work is licensed under a Creative Commons Attribution 3.0 License.

ISSN: 0974 – 9551