Case Studies in Intelligent Computing Achievements and Trends
Coordonnateurs : Issac Biju, Israr Nauman
Although the field of intelligent systems has grown rapidly in recent years, there has been a need for a book that supplies a timely and accessible understanding of this important technology. Filling this need, Case Studies in Intelligent Computing: Achievements and Trends provides an up-to-date introduction to intelligent systems.
This edited book captures the state of the art in intelligent computing research through case studies that examine recent developments, developmental tools, programming, and approaches related to artificial intelligence (AI). The case studies illustrate successful machine learning and AI-based applications across various industries, including:
- A non-invasive and instant disease detection technique based upon machine vision through the image scanning of the eyes of subjects with conjunctivitis and jaundice
- Semantic orientation-based approaches for sentiment analysis
- An efficient and autonomous method for distinguishing application protocols through the use of a dynamic protocol classification system
- Nonwavelet and wavelet image denoising methods using fuzzy logic
- Using remote sensing inputs based on swarm intelligence for strategic decision making in modern warfare
- Rainfall?runoff modeling using a wavelet-based artificial neural network (WANN) model
Illustrating the challenges currently facing practitioners, the book presents powerful solutions recently proposed by leading researchers. The examination of the various case studies will help you develop the practical understanding required to participate in the advancement of intelligent computing applications.
The book will help budding researchers understand how and where intelligent computing can be applied. It will also help more established researchers update their skills and fine-tune their approach to intelligent computing.
Intelligent Computing Case Studies. Secure Computing Case Studies.
Dr. Biju Issac is a senior lecturer at the School of Computing, Teesside University, United Kingdom, and has more than 15 years of academic experience with higher education in India, Malaysia, and the United Kingdom. He earned a PhD in networking and mobile communications, along with MCA (master of computer applications) and BE (electronics and communications engineering).
He is a senior Institute of Electrical and Electronics Engineers (IEEE) member, a fellow of the Higher Education Academy, an Institution of Engineering and Technology (IET) member, and a chartered engineer (CEng). He is a CISCO-Certified Network Associate (CCNA) instructor, a Sun-Certified Java instructor, and a Lotus Notes professional. His broad research interests are in computer networks, wireless networks, computer or network security, mobility management in 802.11 networks, intelligent computing, data mining, spam detection, secure online voting, e-learning, and so forth. Dr. Issac has authored more than 60 peer-reviewed research publications, including conference papers, book chapters, and journal papers. He has supervised postgraduate research students to completion. He is in the technical program committee of many international conferences and on the editorial board of some journals and has reviewed many research papers.
Dr. Nauman Israr
Date de parution : 09-2014
17.8x25.4 cm
Date de parution : 10-2016
17.8x25.4 cm
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
Prix indicatif 94,88 €
Ajouter au panierThèmes de Case Studies in Intelligent Computing :
Mots-clés :
Data Set; Membership Functions; Survey of Intelligent Computing; Pe Rc; Intelligent Machine Vision Technique for Disease Detection through Eye Scanning; ANFIS; Automating Network Protocol Identification; ANFIS Model; Medical Knowledge-Based Systems and Knowledge-Based Systems; Sclera Region; Intelligent Grade Estimation Technique for Indian Black Tea; Log Sigmoid Activation Function; Decomposition Level; Sugeno Type FIS; Membership Function Parameters; Machine Vision; Fuzzy Set; HSI Value; Intuitionistic Fuzzy Set; Sensor Node; Fuzzy Rough Set; RGB; N0 N1 N2 N3 N4; ANFIS Algorithm; Inverse Kinematics; Kalman Lter; Low Intensity Laser Irradiation; Dental Radiographs; Tea Samples; Denoising Methods