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 9, No 2 (2017)

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Table of Contents


Non Invasive Detection of Breast Cancer and Feature Selection from Mammogram Images PDF
K. Abinayapriya, B. Hemakumar 21-24
Android Based Performance Assessment System for School Education PDF
K. Saravanan, M. Arumugam 25-30
Profit Based Unit Commitment Problems with Emission Constraints Using Swarm Intelligence Technique PDF
T. Venkatesan, S. M. Janani 31-38
A Review on Water Conservation using IoT (Smart Meters) PDF
Prathmesh Kale, Ashok Jangid, Lalit Goski, Nikhil Harwande, Geeta Navale 39-42
A Review on Smart Parking System using Cloud & IoT PDF
Arihant Bothra, Suraj Pandita, Aditi Honkhambe, Darpan Agarwal, Sandeep Chitalkar 43-46

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

ISSN: 0974 – 9551