001468335 000__ 05337cam\\22006857i\4500
001468335 001__ 1468335
001468335 003__ OCoLC
001468335 005__ 20230707003247.0
001468335 006__ m\\\\\o\\d\\\\\\\\
001468335 007__ cr\un\nnnunnun
001468335 008__ 230531s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001468335 019__ $$a1380744480
001468335 020__ $$a9783031342226$$q(electronic bk.)
001468335 020__ $$a3031342224$$q(electronic bk.)
001468335 020__ $$z9783031342219$$q(print)
001468335 020__ $$z3031342216
001468335 0247_ $$a10.1007/978-3-031-34222-6$$2doi
001468335 035__ $$aSP(OCoLC)1380764176
001468335 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP
001468335 049__ $$aISEA
001468335 050_4 $$aQ325.5
001468335 08204 $$a006.3/1$$223/eng/20230531
001468335 1112_ $$aInternational Conference on Applied Machine Learning and Data Analytics$$n(5th :$$d2022 :$$cReynosa, Tamaulipas, Mexico)
001468335 24510 $$aApplied machine learning and data analytics :$$b5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22-23, 2022, Revised selected papers /$$cM. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry, editors.
001468335 2463_ $$aAMLDA 2022
001468335 264_1 $$aCham :$$bSpringer,$$c2023.
001468335 300__ $$a1 online resource (xii, 242 pages) :$$billustrations (some color).
001468335 336__ $$atext$$btxt$$2rdacontent
001468335 337__ $$acomputer$$bc$$2rdamedia
001468335 338__ $$aonline resource$$bcr$$2rdacarrier
001468335 4901_ $$aCommunications in computer and information science,$$x1865-0937 ;$$v1818
001468335 500__ $$aIncludes author index.
001468335 5050_ $$aDeep Learning Methods to Automate Embryo Classification and Evaluation -- Univariate feature fitness measures for classification problems: An empirical assessment -- Securing Advanced Metering Infrastructure using Blockchain for Effective Energy Trading -- Keratoconus Classification using Feature Selection and Machine Learning Approach -- Semantic Segmentation of The Lung to Examine the Effect of COVID-19 using UNET Model -- SMDKGG: A Socially Aware Meta Data Driven Knowledge Graph Generation for Disaster Tweets -- Brain MRI Image Classification using Deep Learning -- A Real Time Face Recognition Attendance using Machine Learning -- Towards abalone differentiation through machine learning -- Better Qualitative Searching for Effecting the Performance of Machine Translation -- RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentation using Convolutional Neural Network -- A credit card fraud detection model using machine learning methods with a hybrid of undersampling and oversampling for handling imbalanced datasets for high scores -- Implementation of YOLOv7 Model for Pest Detection -- Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspective -- A novel approach: Semantic web enabled subject searching for Union Catalogue -- How People in South America is Facing Monkeypox Outbreak? -- Multi-level Classification of Satellite Images using Pre-trained AlexNet Architecture -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Performance evaluation of Smart Flower Optimization Algorithm over Industrial Non-Convex Constrained Optimization Problems.
001468335 506__ $$aAccess limited to authorized users.
001468335 520__ $$aThis book constitutes the refereed proceedings of the 5th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2022, held in Reynosa, Tamaulipas, Mexico, during December 22-23, 2022. The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Machine learning, Healthcare and medical imaging informatics; biometrics; forensics; precision agriculture; risk management; robotics and satellite imaging.
001468335 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 31, 2023).
001468335 650_0 $$aMachine learning$$vCongresses.
001468335 650_0 $$aData mining$$vCongresses.
001468335 650_0 $$aBig data$$vCongresses.
001468335 655_0 $$aElectronic books.
001468335 7001_ $$aJabbar, M. A.$$q(Meerja Akhil),$$eeditor.$$1https://orcid.org/0000-0003-4059-2728
001468335 7001_ $$aOrtiz-Rodriguez, Fernando,$$d1974-$$eeditor.$$1https://orcid.org/0000-0003-2084-3462
001468335 7001_ $$aTiwari, Sanju,$$d1979-$$eeditor.$$1https://orcid.org/0000-0001-7197-0766
001468335 7001_ $$aSiarry, Patrick,$$eeditor.$$1https://orcid.org/0000-0002-5722-4115
001468335 77608 $$iPrint version: $$z3031342216$$z9783031342219$$w(OCoLC)1377700907
001468335 830_0 $$aCommunications in computer and information science ;$$v1818.$$x1865-0937
001468335 852__ $$bebk
001468335 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-34222-6$$zOnline Access$$91397441.1
001468335 909CO $$ooai:library.usi.edu:1468335$$pGLOBAL_SET
001468335 980__ $$aBIB
001468335 980__ $$aEBOOK
001468335 982__ $$aEbook
001468335 983__ $$aOnline
001468335 994__ $$a92$$bISE