LEADER 07455nam 22008175 450 001 9910357852703321 005 20251113194519.0 010 $a3-030-33617-4 024 7 $a10.1007/978-3-030-33617-2 035 $a(CKB)4100000009759085 035 $a(DE-He213)978-3-030-33617-2 035 $a(MiAaPQ)EBC6296732 035 $a(PPN)255803818 035 $a(MiAaPQ)EBC6275362 035 $a(EXLCZ)994100000009759085 100 $a20191022d2019 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntelligent Data Engineering and Automated Learning ? IDEAL 2019 $e20th International Conference, Manchester, UK, November 14?16, 2019, Proceedings, Part II /$fedited by Hujun Yin, David Camacho, Peter Tino, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXI, 364 p. 115 illus., 86 illus. in color.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v11872 311 08$a3-030-33616-6 327 $aSpecial Session on Fuzzy Systems and Intelligent Data Analysis -- Computational Generalization in Taxonomies Applied to: (1) Analyze Tendencies of Research and (2) Extend User Audiences -- Unsupervised Initialization of Archetypal Analysis and Proportional Membership Fuzzy Clustering -- Special Session on Machine Learning towards Smarter Multimodal Systems -- Multimodal Web Based Video Annotator with Real-Time Human Pose Estimation -- New Interfaces for Classifying Performance Gestures in Music -- Special Session on Data Selection in Machine Learning -- Classifying Ransomware Using Machine Learning Algorithms -- Artificial Neural Networks in Mathematical Mini-Games for Automatic Students Learning Styles Identification: A First Approach -- The Use of Uni?ed Activity Records to Predict Requests Made by Applications for External Services -- Fuzzy Clustering Approach to Data Selection for Computer Usage in Headache Disorders -- Multitemporal Aerial Image Registration Using Semantic Features -- Special Session on Machine Learning in Healthcare -- Brain Tumor Classification Using Principal Component Analysis and Kernel Support Vector Machine -- Modelling survival by machine learning methods in liver transplantation: application to the UNOS dataset -- Design and Development of an Automatic Blood Detection System for Capsule Endoscopy Images -- Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis -- A Clustering-Based Patient Grouper for Burn Care -- A comparative assessment of Feed-Forward and Convolutional Neural Networks for the classification of prostate lesions -- Special Session on Machine Learning in Automatic Control -- A Method based on Filter Bank Common Spatial Pattern for Multiclass Motor Imagery BCI -- Safe Deep Neural Network-driven Autonomous Vehicles Using Software Safety Cages -- Wave and viscous resistance estimation by NN -- Neural controller of UAVs with inertia variations -- Special Session on Financeand Data Mining -- A Metric Framework for quantifying Data Concentration -- Adaptive Machine Learning-Based Stock Prediction using Financial Time Series Technical Indicators -- Special Session on Knowledge Discovery from Data -- Exploiting Online Newspaper Articles Metadata for Profiling City Areas -- Modelling the Social Interactions in Ant Colony Optimization -- An Innovative Deep-Learning Algorithm for Supporting the Approximate Classication of Workloads in Big Data Environments -- Control-flow Business Process Summarization via Activity Contraction -- Classifying Flies Based on Reconstructed Audio Signals -- Studying the Evolution of the ?Circular Economy? Concept using Topic Modelling -- Mining Frequent Distributions in Time Series -- Time Series Display for Knowledge Discovery on Selective Laser Melting Machines -- Special Session on Machine Learning Algorithms for Hard Problems -- Using Prior Knowledge to Facilitate Computational Reading of Arabic Calligraphy -- SMOTE Algorithm Variations in Balancing Data Streams -- Multi-Class Text Complexity Evaluation via Deep Neural Networks -- Imbalance reduction techniques applied to ECG classification problem -- Machine Learning Methods for Fake News Classification -- A genetic-based ensemble learning applied to imbalanced data classification -- The feasibility of deep learning use for adversarial model extraction in the cybersecurity domain. 330 $aThis two-volume set of LNCS 11871 and 11872 constitutes the thoroughly refereed conference proceedings of the 20th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2019, held in Manchester, UK, in November 2019. The 94 full papers presented were carefully reviewed and selected from 149 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2019 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspired models (including neural networks, evolutionary computation and swarm intelligence), agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v11872 606 $aData mining 606 $aEducation$xData processing 606 $aComputer science 606 $aApplication software 606 $aComputer engineering 606 $aComputer networks 606 $aArtificial intelligence 606 $aData Mining and Knowledge Discovery 606 $aComputers and Education 606 $aTheory of Computation 606 $aComputer and Information Systems Applications 606 $aComputer Engineering and Networks 606 $aArtificial Intelligence 615 0$aData mining. 615 0$aEducation$xData processing. 615 0$aComputer science. 615 0$aApplication software. 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aArtificial intelligence. 615 14$aData Mining and Knowledge Discovery. 615 24$aComputers and Education. 615 24$aTheory of Computation. 615 24$aComputer and Information Systems Applications. 615 24$aComputer Engineering and Networks. 615 24$aArtificial Intelligence. 676 $a005.74 676 $a006.312 702 $aYin$b Hujun$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCamacho$b David$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTino$b Peter$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTallón-Ballesteros$b Antonio J$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMenezes$b Ronaldo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAllmendinger$b Richard$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910357852703321 996 $aIntelligent Data Engineering and Automated Learning ? IDEAL 2019$92501926 997 $aUNINA LEADER 03789nam 22006855 450 001 9910865289603321 005 20250807150332.0 010 $a9783031580789$b(electronic bk.) 010 $z9783031580772 024 7 $a10.1007/978-3-031-58078-9 035 $a(MiAaPQ)EBC31458364 035 $a(Au-PeEL)EBL31458364 035 $a(CKB)32245823500041 035 $a(DE-He213)978-3-031-58078-9 035 $a(OCoLC)1438663734 035 $a(EXLCZ)9932245823500041 100 $a20240606d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aQuantum Processes in Biology /$fby José Antonio Fornés 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (220 pages) 225 1 $aSpringer Series in Biophysics,$x1868-2561 ;$v26 311 08$aPrint version: Fornés, José Antonio Quantum Processes in Biology Cham : Springer International Publishing AG,c2024 9783031580772 327 $aThe Classical Smoluchowski Equation -- 2.The Quantum Smoluchowski Equation -- 3.Dynamics of Protons in DNA -- 4.The Interaction with the Environment -- 5.Classical and Quantum Mechanochemical Coupling -- 6.Photosynthesis and the quantum mechanochemical model -- 7.Entanglement, Coherence and Decoherence -- 8.Excitons -- 9.Long wavelength quantum energy exchange and its possible role in cellular recognition and communication -- A.Appendix. 330 $aIn recent years, extensive research on stochastic processes such as neuron networks, molecular motors, dynamics models, anomalous diffusion, and disordered media has led to the development of various methods for applying the Classical and Quantum Smoluchowski Equation to these phenomena. This book focuses on presenting the solution to the Fokker-Planck equation using the Crank-Nicholson formalism. This method is particularly effective for handling systems with numerous interactions, requiring vector and matrix-oriented approaches suitable for implementation in Matlab. Among the topics treated in the book are: Dynamics of protons in DNA, Photosynthesis and the quantum mechanochemical model, Entanglement, coherence and decoherence, Excitons in the Fenna-Mathews-Olson complex, and Energy exchange between cells. The author has made an incredible work in facilitating the understanding of these complex topics. This book includes a brief and clear explanation of the Quantum theory and also includes code to build useful software to use in research environments. This volume is particularly helpful for graduate students in physics and biology interested in understanding biological processes with the use of quantum physics tools. 410 0$aSpringer Series in Biophysics,$x1868-2561 ;$v26 606 $aBioinformatics 606 $aMolecular biology 606 $aBiophysics 606 $aBiomolecules 606 $aQuantum theory 606 $aComputational and Systems Biology 606 $aMolecular Biology 606 $aBiophysics 606 $aMolecular Biophysics 606 $aQuantum Physics 615 0$aBioinformatics. 615 0$aMolecular biology. 615 0$aBiophysics. 615 0$aBiomolecules. 615 0$aQuantum theory. 615 14$aComputational and Systems Biology. 615 24$aMolecular Biology. 615 24$aBiophysics. 615 24$aMolecular Biophysics. 615 24$aQuantum Physics. 676 $a570,285 676 $a570,113 700 $aForne?s$b Jose? Antonio$0909698 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910865289603321 996 $aQuantum Processes in Biology$94168770 997 $aUNINA