LEADER 02947nam 22005774a 450 001 9910450074003321 005 20200520144314.0 010 $a1-59726-837-2 010 $a1-4237-0261-1 035 $a(CKB)1000000000033652 035 $a(EBL)3317359 035 $a(OCoLC)60582851 035 $a(SSID)ssj0000103620 035 $a(PQKBManifestationID)11133219 035 $a(PQKBTitleCode)TC0000103620 035 $a(PQKBWorkID)10070793 035 $a(PQKB)10697859 035 $a(MiAaPQ)EBC3317359 035 $a(Au-PeEL)EBL3317359 035 $a(CaPaEBR)ebr10079993 035 $a(EXLCZ)991000000000033652 100 $a20030310d2003 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aAnimal behavior and wildlife conservation$b[electronic resource] /$fedited by Marco Festa-Bianchet and Marco Apollonio 210 $aWashington, DC $cIsland Press$dc2003 215 $a1 online resource (392 p.) 300 $aDescription based upon print version of record. 311 $a1-55963-958-X 320 $aIncludes bibliographical references (p. 305-368) and index. 327 $aAbout Island Press; Title Page; Copyright Page; Table of Contents; Preface; Part I; 1: General Information; 2: Adaptive Behavior and Population Viability; Part II; 3: Dispersal and Conservation; 4: Migration and Conservation; 5: Bridging the Gap; 6: Knowledge of Reproductiove Behavior Contributes to Conservation Programs; 7: Foraging Behavior, Habitat Suitability, and Translocation Success, with Special Reference to Large Mammalian Herbivores; Part III; 8: Variation in Life History Traits and Realistic Proplation Models for Wildlife Management; 9: Through the Eyes of Prey 327 $a10: Behavioral Aspects of Conservation and Managgement of European Mammals11: Implications of Sexually Selected Infanticide for the Hunting of Large Carnivores; 12: Exploitative Wildlife Management as a Selective Pressure for Life-History Evoluton of Large Mammals; Part IV; 13: Social Groups, Genetic Structure, and Conservation; 14: Pathogen-Driven Sexual Selection for ""Good Genes"" versus Genetic Variability in Small Populations; 15: Measuring Individual Quality in Conservation and Behavior; 16: Individual Quality, Environment and Conservation; Part V; 17: Where Do We Go From Here? 327 $aLiterature CitedList of Contributors; Index; Island Press Board of Directors 2003 606 $aAnimal behavior 606 $aWildlife conservation 608 $aElectronic books. 615 0$aAnimal behavior. 615 0$aWildlife conservation. 676 $a639.9 701 $aFesta-Bianchet$b Marco$0872495 701 $aApollonio$b Marco$0467238 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910450074003321 996 $aAnimal behavior and wildlife conservation$91947791 997 $aUNINA LEADER 04991nam 22007695 450 001 9910158672803321 005 20250305185226.0 010 $a9783319476537 010 $a331947653X 024 7 $a10.1007/978-3-319-47653-7 035 $a(CKB)3710000001007962 035 $a(MiAaPQ)EBC4775468 035 $a(DE-He213)978-3-319-47653-7 035 $a(PPN)198341520 035 $a(EXLCZ)993710000001007962 100 $a20170103d2016 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aEEG Signal Analysis and Classification $eTechniques and Applications /$fby Siuly Siuly, Yan Li, Yanchun Zhang 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (257 pages) 225 1 $aHealth Information Science,$x2366-0996 311 08$a9783319476520 311 08$a3319476521 320 $aIncludes bibliographical references. 327 $aElectroencephalogram (EEG) and its background -- Significance of EEG signals in medical and health research -- Objectives and structures of the book -- Random sampling in the detection of epileptic EEG signals -- A novel clustering technique for the detection of epileptic seizures -- A statistical framework for classifying epileptic seizure from multi-category EEG signals -- Injecting principal component analysis with the OA scheme in the epileptic EEG signal classification -- Cross-correlation aided logistic regression model for the identification of motor imagery EEG signals in BCI applications -- Modified CC-LR Algorithm for identification of MI based EEG signals -- Improving prospective performance in the MI recognition: LS-SVM with tuning hyper parameters -- Comparative study: Motor area EEG and All-channels EEG -- Optimum allocation aided Naive Bayes based learning process for the detection of MI tasks -- Summary discussions on the methods, future directions and conclusions. 330 $aThis book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed methods enable the extraction of this vital information from EEG signals in order to accurately detect abnormalities revealed by the EEG. New methods will relieve the time-consuming and error-prone practices that are currently in use. Common signal processing methodologies include wavelet transformation and Fourier transformation, but these methods are not capable of managing the size of EEG data. Addressing the issue, this book examines new EEG signal analysis approaches with a combination of statistical techniques (e.g. random sampling, optimum allocation) and machine learning methods. The developed methods provide better results than the existing methods. The book also offers applications of the developedmethodologies that have been tested on several real-time benchmark databases. This book concludes with thoughts on the future of the field and anticipated research challenges. It gives new direction to the field of analysis and classification of EEG signals through these more efficient methodologies. Researchers and experts will benefit from its suggested improvements to the current computer-aided based diagnostic systems for the precise analysis and management of EEG signals. 410 0$aHealth Information Science,$x2366-0996 606 $aSignal processing 606 $aMedical informatics 606 $aArtificial intelligence 606 $aBiomedical engineering 606 $aComputer vision 606 $aApplication software 606 $aSignal, Speech and Image Processing 606 $aHealth Informatics 606 $aArtificial Intelligence 606 $aBiomedical Engineering and Bioengineering 606 $aComputer Vision 606 $aComputer and Information Systems Applications 615 0$aSignal processing. 615 0$aMedical informatics. 615 0$aArtificial intelligence. 615 0$aBiomedical engineering. 615 0$aComputer vision. 615 0$aApplication software. 615 14$aSignal, Speech and Image Processing. 615 24$aHealth Informatics. 615 24$aArtificial Intelligence. 615 24$aBiomedical Engineering and Bioengineering. 615 24$aComputer Vision. 615 24$aComputer and Information Systems Applications. 676 $a530.82 700 $aSiuly$b Siuly$4aut$4http://id.loc.gov/vocabulary/relators/aut$0933310 702 $aLi$b Yan$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZhang$b Yanchun$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910158672803321 996 $aEEG Signal Analysis and Classification$92100707 997 $aUNINA