This book presents state-of-the-art of optimization algorithms followed by internet of things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics such as optimization, algorithms, machine learning in image processing and IoT.
This book presents state-of-the-art of optimization algorithms followed by internet of things (IoT) fundamentals. The applications of machine learning and IoT are explored, with topics such as optimization, algorithms, machine learning in image processing and IoT.
Nidhi Gupta is an Assistant Professor in the Department of Computer Applications at the National Institute of Technology, Kurukshetra, India. Before this appointment she was a Post-Doctoral Researcher at the National Laboratory of Pattern Recognition, Institute of Automation,Chinese Academy of Sciences, Beijing, China.
Inhaltsangabe
CHAPTER1 State-of-the-Art on Evolved Optimization Approaches for Damage Detection in Steel Bridges ANSHUL SHARMA CHAPTER2 IoT and Its Advancement ANUBHAV KUMAR PRASAD, DHARM RAJ SINGH AND ABHISHEK KESHARWANI CHAPTER3 Optimal Configuration of IOT Cluster with Full Connectivity with Minimum Transmission Power Using SA and BO Algorithms SOWJANYA KOTTE AND SATISH KUMAR INJETI CHAPTER4 IoT Optimization for Smart Cities and Mobility in Smart Cities NISHA DEVI AND NEHA KISHORE CHAPTER5 Application of the Internet of Things in E-Waste Management SMRITI SNEHIL, OJASWI VINDHYACHALAM AND KAMALESH KUMAR SINGH CHAPTER6 Power of IoT in Smart Healthcare Systems CHINU AND URVASHI BANSAL CHAPTER7 Verification Scheme for Malicious Routing in the Internet of Things BHARTI SHARMA, SAKSHI PATNI AND SUMIT KUMAR MAHANA CHAPTER8 Agricultural Applications Using Artificial Intelligence and Computer Vision Technologies CHITRANJAN KUMAR RAI AND ROOP PAHUJA CHAPTER9 Artificial Intelligence-Based Smart Identi cation System Using Herbal Images: Decision Making Using Various Machine Learning Models SANYAM SHARMA, SUBH NAMAN, JAYESH DWIVEDI AND ASHISH BALDI CHAPTER10 CNN-Based Fire Prediction Using Fractional Order Optical Flow and Smoke Features MUZAMMIL KHAN, PUSHPENDRA KUMAR AND NITISH KUMAR MAHALA CHAPTER11 Early Prediction of Cardiac Diseases Using Ensemble Learning Techniques: A-Machine Learning Technique to Deal with Heart Disease Problems RIMA SEN AND A. MANIMARAN
CHAPTER1 State-of-the-Art on Evolved Optimization Approaches for Damage Detection in Steel Bridges ANSHUL SHARMA CHAPTER2 IoT and Its Advancement ANUBHAV KUMAR PRASAD, DHARM RAJ SINGH AND ABHISHEK KESHARWANI CHAPTER3 Optimal Configuration of IOT Cluster with Full Connectivity with Minimum Transmission Power Using SA and BO Algorithms SOWJANYA KOTTE AND SATISH KUMAR INJETI CHAPTER4 IoT Optimization for Smart Cities and Mobility in Smart Cities NISHA DEVI AND NEHA KISHORE CHAPTER5 Application of the Internet of Things in E-Waste Management SMRITI SNEHIL, OJASWI VINDHYACHALAM AND KAMALESH KUMAR SINGH CHAPTER6 Power of IoT in Smart Healthcare Systems CHINU AND URVASHI BANSAL CHAPTER7 Verification Scheme for Malicious Routing in the Internet of Things BHARTI SHARMA, SAKSHI PATNI AND SUMIT KUMAR MAHANA CHAPTER8 Agricultural Applications Using Artificial Intelligence and Computer Vision Technologies CHITRANJAN KUMAR RAI AND ROOP PAHUJA CHAPTER9 Artificial Intelligence-Based Smart Identi cation System Using Herbal Images: Decision Making Using Various Machine Learning Models SANYAM SHARMA, SUBH NAMAN, JAYESH DWIVEDI AND ASHISH BALDI CHAPTER10 CNN-Based Fire Prediction Using Fractional Order Optical Flow and Smoke Features MUZAMMIL KHAN, PUSHPENDRA KUMAR AND NITISH KUMAR MAHALA CHAPTER11 Early Prediction of Cardiac Diseases Using Ensemble Learning Techniques: A-Machine Learning Technique to Deal with Heart Disease Problems RIMA SEN AND A. MANIMARAN
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der buecher.de internetstores GmbH
Geschäftsführung: Monica Sawhney | Roland Kölbl | Günter Hilger
Sitz der Gesellschaft: Batheyer Straße 115 - 117, 58099 Hagen
Postanschrift: Bürgermeister-Wegele-Str. 12, 86167 Augsburg
Amtsgericht Hagen HRB 13257
Steuernummer: 321/5800/1497
USt-IdNr: DE450055826
