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[null,"1.","Record Nr.",null,"UNINA9910346700403321"]
[null,null,"Autore",null,"Chen Zhiming"]
[null,null,"Titolo",null,"Modelling the plastic deformation of iron"]
[null,null,"Pubbl/distr/stampa",null,"KIT Scientific Publishing, 2013"]
[null,null,"ISBN",null,"1000032216"]
[null,null,"Descrizione fisica",null,"1 online resource (XII, 146 p. p.)"]
[null,null,"Collana",null,"Schriftenreihe des Instituts für Angewandte Materialien, Karlsruher Institut für Technologie"]
[null,null,"Soggetti",null,"Technology: general issues"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","The 1/2<111> screw dislocations in bcc iron are studied by atomistic simulations. An analytical yield criterion captures correctly the non-Schmid plastic behavior. A model Peierls potential develops a link between the atomistic modeling at 0 K and the thermally activated dislocation motion. All predicted features agree well with experimental observations. This work establishes a consistent bottom-up model that provides an insight into the microscopic origins of the plastic behavior of bcc iron."]
[null,"2.","Record Nr.",null,"UNINA9910483713003321"]
[null,null,"Autore",null,"Satyanarayana Ch"]
[null,null,"Titolo",null,"Computational Intelligence and Big Data Analytics : Applications in Bioinformatics / / by Ch. Satyanarayana, Kunjam Nageswara Rao, Richard G. Bush"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"981-13-0544-7"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (139 pages)"]
[null,null,"Collana",null,"SpringerBriefs in Forensic and Medical Bioinformatics, , 2196-8845"]
[null,null,"Disciplina",null,"006.3019"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Big data"]
[{"$nulls":4},"Bioinformatics"]
[{"$nulls":4},"Neural networks (Computer science)"]
[{"$nulls":4},"Biomedical engineering"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Big Data"]
[{"$nulls":4},"Mathematical Models of Cognitive Processes and Neural Networks"]
[{"$nulls":4},"Biomedical Engineering/Biotechnology"]
[{"$nulls":4},"Information Systems Applications (incl. Internet)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Nanoinformatics: Predicting toxicity using Computational Modelling -- Stock market Prediction Based on Machine Learning Approaches -- Performance Analysis of Denoising of ECG Signals in Time and Frequency domain -- Design and Implementation of Modified Sparse K-means Clustering Method for Gene Selection -- Identifying driver potential in passenger genes using chemical properties of mutated and surrounding amino acids -- Diagnosis of Chest Diseases Using Artificial Neural networks -- Development of Microminiaturized Intramuscular EMG Writer`s Cramp Signals Micro Electrode Recording System -- FGANN: A Hybrid Approach for Medical Diagnosing -- Data Mining Efficiency and Scalability for Smarter Internet of Things -- Multiple DG Placement and Sizing in Radial Distribution System using Genetic Algorithm and Particle Swarm Optimization -- Neighborhood Algorithm For Product Recommendation -- A Quantitative Analysis of Histogram "]
[{"$nulls":4},"Equalization based methods on Fundus Images for Diabetic Retinopathy Detection -- A novel level based DNA security algorithm using DNA codons -- A Computational approach to Predict Diabetic Retinopathy through Data Analytics."]
[null,null,null,"Sommario/riassunto","This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains."]