LEADER 06019nam 22007095 450 001 9910367253303321 005 20200701114827.0 010 $a981-329-585-6 024 7 $a10.1007/978-981-32-9585-8 035 $a(CKB)4100000009606124 035 $a(MiAaPQ)EBC5964734 035 $a(DE-He213)978-981-32-9585-8 035 $a(PPN)253350360 035 $a(EXLCZ)994100000009606124 100 $a20191018d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aComputational Network Application Tools for Performance Management /$fedited by Millie Pant, Tarun K. Sharma, Sebastián Basterrech, Chitresh Banerjee 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (269 pages) 225 1 $aAsset Analytics, Performance and Safety Management,$x2522-5162 311 $a981-329-584-8 320 $aIncludes bibliographical references. 327 $aPerformance Enhanced Hybrid Memetic Framework for Effective Coverage Based Test Case Optimization -- An Optimization Procedure for Quadratic Fractional Transportation Problem -- A Nature Inspired PID like Fuzzy Knowledge Based Fractional Order Controller for Optimization -- Neuro-Fuzzy-Rough Classification for Increasing Efficiency and Performance in Case-Based Reasoning Retrieval -- Better Performance of Human Action Recognition from Spatiotemporal Depth Information Features Classification -- Selecting Appropriate Multipath Routing In Wireless Sensor Networks for Improvisation of System?s Efficiency and Performance -- A Classification of ECG Arrhythmic Analysis Based on Performance Factors using Machine Learning Approach -- A Time Efficient Semi Automatic Active Contour Model of Liver Tumor Segmentation from CT Images -- Denoising 1d Signal Using Wavelets for Signal Quality Enhancement. 330 $aThis book explores a range of important theoretical and practical issues in the field of computational network application tools, while also presenting the latest advances and innovations using intelligent technology approaches. The main focus is on detecting and diagnosing complex application performance problems so that an optimal and expected level of system service can be attained and maintained. The book discusses challenging issues like enhancing system efficiency, performance, and assurance management, and blends the concept of system modeling and optimization techniques with soft computing, neural network, and sensor network approaches. In addition, it presents certain metrics and measurements that can be translated into business value. These metrics and measurements can also help to establish an empirical performance baseline for various applications, which can be used to identify changes in system performance. By presenting various intelligent technologies, the book provides readers with compact but insightful information on several broad and rapidly growing areas in the computation network application domain. The book?s twenty-two chapters examine and address current and future research topics in areas like neural networks, soft computing, nature-inspired computing, fuzzy logic and evolutionary computation, machine learning, smart security, and wireless networking, and cover a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book was written to serve a broad readership, including engineers, computer scientists, management professionals, and mathematicians interested in studying tools and techniques for computational intelligence and applications for performance analysis. Featuring theoretical concepts and best practices in computational network applications, it will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of soft computing, neural networks, machine learning, sensor networks, smart security, etc. 410 0$aAsset Analytics, Performance and Safety Management,$x2522-5162 606 $aProject management 606 $aIndustrial management?Environmental aspects 606 $aArtificial intelligence 606 $aComputer organization 606 $aComputer software?Reusability 606 $aProject Management$3https://scigraph.springernature.com/ontologies/product-market-codes/515020 606 $aSustainability Management$3https://scigraph.springernature.com/ontologies/product-market-codes/515040 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Systems Organization and Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13006 606 $aPerformance and Reliability$3https://scigraph.springernature.com/ontologies/product-market-codes/I12077 615 0$aProject management. 615 0$aIndustrial management?Environmental aspects. 615 0$aArtificial intelligence. 615 0$aComputer organization. 615 0$aComputer software?Reusability. 615 14$aProject Management. 615 24$aSustainability Management. 615 24$aArtificial Intelligence. 615 24$aComputer Systems Organization and Communication Networks. 615 24$aPerformance and Reliability. 676 $a658.404 702 $aPant$b Millie$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aSharma$b Tarun K$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBasterrech$b Sebastián$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBanerjee$b Chitresh$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910367253303321 996 $aComputational Network Application Tools for Performance Management$92543416 997 $aUNINA