Efficient Deep Learning Techniques for Security and Privacy in Industry / Dr. Manjula Sanjay Koti, V. MuthuKumaran, A. Devi, V. Rajalakshmi, S. Satheesh Kumar, V. Vinoth Kumar -- Crypto-based Secure Outbound Supply Chain Authentication for Industry 4.0 / M. Narayanan, T. Poongothai, Gopal Rathinam -- A Machine Learning based Approach for Fruit Grading and Classification / A.Diana Andrusia, T.Mary Neebha, A.Trephena Patricia, I. Thusnavis Bella Mary, Hien Dang -- Data Mining Technique for Multi Satellite Image Compression / K .Madhan, M.Rajesh Kumar, M. Vijayaragavan, Dr. T .Priya Radhika Devi -- Artificial Intelligence Impact On Pattern Classification In Association With IOT For Advanced Applications / E.B. Priyanka'S, Thangavel, G. Manikandan, C.V. Rahav -- Genetic Algorithm Based Feature Selection And Random Forest Model For Rice Yield Prediction / Dr. T. Priya Radhika Devi, C.Saravanan, S.Prasanna -- A Modified Clonal Selection Algorithm based on Positive Selection Method in AIS to solve Job Shop Scheduling Problem / R Murugesan -- IOT Health Care Devices For Patient Monitoring / Dr. N. Palanivel, P. Sathiyanarayanan, -- R. Indumathi, V. Selvi -- Deep Learning Techniques Used For Detection Of Disease In Tomato Plant / M.Rajesh Kumar, K .Madhan

"Cyber Security and Operations Management for Industry 4.0 covers cyber security risks involved in the integration of Industry 4.0 into businesses and highlights the issues and solutions. The book offers the latest theoretical and practical research in the management of cyber security issues common in Industry 4.0 and also discusses the ethical and legal perspectives of incorporating cyber security techniques and applications into the day-to-day function of an organization. Industrial management topics related to Smart Factories, Operations Research, and Value Chain are also discussed"-- Provided by publisher.

OCLC-licensed vendor bibliographic record.