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1.

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EB
edited by Jean-Claude Falmagne, Dietrich Albert, Christopher Doble, David Eppstein, Xiangen Hu
出版情報: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013
オンライン: http://dx.doi.org/10.1007/978-3-642-35329-1
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Overview:- Assessing Mathematical Knowledge in a Learning Space
ALEKS Based Placement at the University of Illinois
A Potential Technological Solution in Reducing Achievement Gap Between White and Black Students
Is There a Relationship Between Interacting with a Mathematical Intelligent Tutoring System and Students Performance on Standardized High-Stake Tests?
Using Knowledge Space Theory To Assess Student Understanding of Chemistry
Mathematical Compendium
Heuristics for Generating and Validating Surmise Relations across, between, and within Sets
Recent Developments in Competence-based Knowledge Space Theory
Recent Developments in Performance-based Knowledge Space Theory
Skills, Competencies and Knowledge Structures
Learning Sequences
Index
Reference
Overview:- Assessing Mathematical Knowledge in a Learning Space
ALEKS Based Placement at the University of Illinois
A Potential Technological Solution in Reducing Achievement Gap Between White and Black Students
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電子ブック

EB
by Serguey Kashchenko
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2015
シリーズ名: Lecture Notes in Morphogenesis ;
オンライン: http://dx.doi.org/10.1007/978-3-319-19866-8
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Model of single neuron
Model of the interaction of neurons
Model of wave propagations in the ring neural structure with chemical synapsis
Model of self-organization of oscillations in the ring system of homogeneous neural modules
Model of adaptation of neural ensembles
Model of the neural system, synchronizing the wave packets
Model of the neural system with diffusive interaction of elements
Pseudo correlative dimension of the electroencephalogram and its volume amount of short term memory of the human
Estimates of differences of evoked potentials
Model of single neuron
Model of the interaction of neurons
Model of wave propagations in the ring neural structure with chemical synapsis
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電子ブック

EB
by V. A. Kalyagin, A. P. Koldanov, P. A. Koldanov, P. M. Pardalos
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: SpringerBriefs in Optimization ;
オンライン: https://doi.org/10.1007/978-3-030-60293-2
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1. Introduction
2. Random variable networks. -3. Network Identification Structure Algorithms
4. Uncertainty of Network Structure Identification
5. Robustness of Network Structure Identification
6. Optimality of Network Structure Identification
7. Applications to Market Network Analysis
8. Conclusion
9. References
1. Introduction
2. Random variable networks. -3. Network Identification Structure Algorithms
4. Uncertainty of Network Structure Identification
4.

電子ブック

EB
by Danny A. J. Gómez Ramírez
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-50273-7
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1. Global Introduction to the Artificial Mathematical Intelligence General Program
2. Some Basic Technical (Meta-)Mathematical Preliminaries for Cognitive Mathematics
Part I. New Cognitive Foundations for Mathematics
3. General Considerations for the New Cognitive Foundations' Program
4. Towards the (Cognitive) Reality of Mathematics and the Mathematics of (Cognitive) Reality)
5. The Physical Numbers
6. Dathematics: A Meta-Isomorphic Version of "Standard" Mathematics Based on Proper Classes
Part II. Global Taxonomy of the Fundamental Cognitive Mathematical Mechanisms Used in Mathematical Research
7. Conceptual Blending in Mathematical Creation/Invention
8. Formal Analogical Reasoning in Concrete Mathematical Research
9. Conceptual Substratum
10. (Initial) Global Taxonomy of the Most Fundamental Cognitive Mechanisms Used in Mathematical Creation/Invention
Part III. Toward a Universal Meta-Modeling of Mathematical Creation/Invention
11. Meta-Modeling of Classic and Modern Mathematical Proofs and Concepts
12. The Most Outstanding (Future) Challenges Toward Global AMI and its Plausible Extensions
1. Global Introduction to the Artificial Mathematical Intelligence General Program
2. Some Basic Technical (Meta-)Mathematical Preliminaries for Cognitive Mathematics
Part I. New Cognitive Foundations for Mathematics
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電子ブック

EB
edited by Stacy A. Costa, Marcel Danesi, Dragana Martinovic
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Mathematics in Mind ;
オンライン: https://doi.org/10.1007/978-3-030-59177-9
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1. The Information Age, Mathematics, and Mathematics Education (S. Costa, M. Danesi, D. Martinovic)
2. An Unsupervised Approach to User Characterization in Online Learning and Social Platforms (D. Vilenchik)
3. Argumentation is Elementary: The Case for Teaching Argumentation in Elementary Mathematics Classrooms (K. Marks Krpan, G. Shambu)
4. Subverting Stereotypes: Visual Rhetoric in the #SheCanSTEM Campaign (D. Danuser)
5, Graphical Literacy, Graphicacy, and STEM Subjects (S. Costa)
6. Mathematics, Statistics, and Sports (F. Nuessel)
7. Travels with Epsilon in Sign and Space (L.H. Kauffman)
8. Experimental Mathematics: Overview and Pedagogical Implications (M. Danesi)
9. Why the Basics Still Matter: The Cost of Using a Machine to Do Mathematics (S. Gollish)
10. Syntonic Appropriation for Growth in Mathematical Understanding: An Argument for Curated Robotics Experiences (K. Francis, S. Khan)
11. Why Do Mathematicians Need Diagrams? Peirce's Existential Graphs and the Idea of Immanent Visuality (V. Kiryushenko)
12. Procedural Steps, Conceptual Steps, and Critical Discernments: A Necessary Evolution of School Mathematics in the Information Age (M. Metz, B. Davis)
13. If One Can Read and Write Then One Can Also Do Mathematics (R.K. Logan)
1. The Information Age, Mathematics, and Mathematics Education (S. Costa, M. Danesi, D. Martinovic)
2. An Unsupervised Approach to User Characterization in Online Learning and Social Platforms (D. Vilenchik)
3. Argumentation is Elementary: The Case for Teaching Argumentation in Elementary Mathematics Classrooms (K. Marks Krpan, G. Shambu)
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電子ブック

EB
by Michel Denuit, Donatien Hainaut, Julien Trufin
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Actuarial Lecture Notes ;
オンライン: https://doi.org/10.1007/978-3-030-57556-4
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Chapter 1: Introductio
Chapter 2 : Performance Evaluation
Chapter 3 Regression Trees
Chapter 4 Bagging Trees and Random Forests
Chapter 5 Boosting Trees
Chapter 6 Other Measures for Model Comparison
Chapter 1: Introductio
Chapter 2 : Performance Evaluation
Chapter 3 Regression Trees
7.

電子ブック

EB
edited by Ilya Bychkov, Valery A. Kalyagin, Panos M. Pardalos, Oleg Prokopyev
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 315
オンライン: https://doi.org/10.1007/978-3-030-37157-9
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Part I: Network algorithms
Obaid, H. B. and Trafalis, T: Fairness in Resource Allocation: Foundation and Applications
Ignatov, D., Ivanova, P., Zamaletdinova, A. and Prokopyev, O: Searching for Maximum Quasi-Bicliques with Mixed Integer Programming
Miasnikof, P., Pitsoulis, L., Bonner, A. J., Lawryshyn, Y. and Pardalos, P. M: Graph Clustering Via Intra-Cluster Density Maximization
Shvydun, S.: Computational Complexity of SRIC and LRIC indices
Sifaleras, A. and Konstantaras, I: A survey on variable neighborhood search methods for supply network inventory
Part II: Network Data Mining
Ananyeva, M. and Makarov, I: GSM: Inductive Learning on Dynamic Graph Embeddings
Averchenkova, A., Akhmetzyanova, A., Sudarikov, K., Sulimov, P., Makarov I. and Zhukov, L. E: Collaborator Recommender System based on Co-authorship Network Analysis
Demochkin, K. and Savchenko, A: User Preference Prediction in a Set of Photos based on Neural Aggregation Network
Makrushin , S.: Network structure and scheme analysis of the Russian language segment of Wikipedia
Meshcheryakova, N., Shvydun, S. and Aleskerov, F: Indirect Influence Assessment in the Context of Retail Food Network
Sokolova, A. D. and Savchenko, A. V: Facial clustering in video data using deep convolutional neural networks
Part III: Network Applications
Egamov, A.: The existence and uniqueness theorem for initial-boundary value problem of the same class of integro-differential PDEs
Gradoselskaya, G., Karpov, I. and Shcheglova, T: Mapping of politically active groups on social networks of Russian regions (on the example of Karachay-Cherkessia Republic)
Mikhailova, O., Gradoselskaya, G. and Kharlamov, A: Social Mechanisms of the Subject Area Formation. The Case of “Digital Economy
Shcheglova, T., Gradoselskaya, G. and Karpov, I: Methodology for measuring polarization of political discourse: case of comparing oppositional and patriotic discourse in online social networks
Zaytsev, D., Khvatsky, G., Talovsky, N. and Kuskova, V: Network Analysis Methodology of Policy Actors Identification and Power Evaluation (the case of the Unified State Exam introduction in Russia)
Part I: Network algorithms
Obaid, H. B. and Trafalis, T: Fairness in Resource Allocation: Foundation and Applications
Ignatov, D., Ivanova, P., Zamaletdinova, A. and Prokopyev, O: Searching for Maximum Quasi-Bicliques with Mixed Integer Programming
8.

電子ブック

EB
edited by Rubem P. Mondaini
出版情報: Cham : Springer International Publishing : Imprint: Springer, 2020
オンライン: https://doi.org/10.1007/978-3-030-46306-9
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Evolutionary adaptation of the permanent
A more realistic formulation of herd behavior for interacting populations
On network similarities and their applications
impacts of infections and predation on dynamics of sexually reproducing populations
Global analysis of a cancer model with drug resistance due to microvesicle transfer
Contact vaccination study using edge based compartmental model (ebcm) and stochastic simulation an application to oral poliovirus vaccine (OPV)
The Effect of Inhibitory Neurons on a Class of Neural Networks
Pipette Hunter 3D: Fluorescent Micropipette Detection
Delay Linear Chains in Mathematical Biology: Migratory Birds, Stem Cell Maturation, and Intracellular Chlamydia Infection
Normalization of a periodic delay in a delay differential equation
Competition between two tufted C4 grasses: a mathematical model
Mathematical description of systemic and micro circulations
The statistical analysis of protein domain family distributions via jaccard entropy measures
Theoretical and numerical considerations of the assumptions behind triple closures in epidemic models on networks
Recognition of protein interaction regions through time-frequency analysis
Using a stochastic sir model to design optimal vaccination campaigns via multiobjective optimization
Optimal control analysis of HIV-TB Co-infection model
A prey-predator model with pathogen infection on predator population
On an invasive species model with harvesting
Generalized linear models to investigate cyclic trends
Assessing the effects of holling TYPE-II treatment rate on HIV-TB co-infection
Discrete and continuum models for the evolutionary and spatial dynamics of cancer: a very short introduction through two case studies
Modelling therapeutic vaccines
modeling the genetic code: P-ADIC approach
Evolutionary adaptation of the permanent
A more realistic formulation of herd behavior for interacting populations
On network similarities and their applications
9.

電子ブック

EB
edited by Takashi Suzuki, Clair Poignard, Mark Chaplain, Vito Quaranta
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2021
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 370
オンライン: https://doi.org/10.1007/978-981-16-4866-3
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PART 1: Mathematical Modeling: D. Guan, X. Luo, and H. Gao, Constitutive Modelling of Soft Biological Tissue from Ex Vivo to In Vivo: Myocardium as an Example
T. Colin, T. Michel, and C. Poignard, Mathematical Modeling of Gastro-intestinal Metastasis Resistance to Tyrosine Kinase Inhibitors
Y. Tanaka and T. Yasugi, Mathematical Modeling and Experimental Verification of the Proneural Wave
D. Kumakura and S. Nakaoka, Exploring Similarity between Embedding Dimension of Time-series Data and Flows of an Ecological Population Model
T. Hayashi, Mathematical Modeling for Angiogenesis
S. Collin, Corridore and C. Poignard, Floating Potential Boundary Condition in Smooth Domains in an Electroporation Context
N. L. Othman and T. Suzuki, Free Boundary Problem of Cell Deformation and Invasion
L. Preziosi and M. Scianna, Multi-level Mathematical Models for Cell Migration in Confined Environments
S. Magi, Mathematical Modeling of Cancer Signaling Addressing Tumor Heterogeneity
N. Sfakianakis and Mark A.J. Chaplain, Mathematical Modelling of Cancer Invasion: A Review
T. Williams, A. Wilson, and N. Sfakianakis, The First Step towards the Mathematical Understanding of the Role of Matrix Metalloproteinase-8 in Cancer Invasion
PART II: Biological Prediction: T. Ito, T. Suzuki, and Y. Murakami, Mathematical Modeling of the Dimerization of EGFR and ErbB3 in Lung Adenocarcinoma
H. Kubota, Selective Regulation of the Insulin-Akt Pathway by Simultaneous Processing of Blood Insulin Pattern in the Liver
D. Oikawa, N. Hatanaka, T. Suzuki, and F. Tokunaga, Mathematical Simulation of Linear Ubiquitination in T Cell Receptor-mediated NF-κB Activation Pathway
Y. Ito, D. Minerva, S. Tasaki, M. Yoshida, T. Suzuki, and A. Goto, Time Changes in the VEGF-A Concentration Gradient Lead Neovasculature to Engage in Stair-like Growth
N. Hatanaka, M. Futakuchi, and T. Suzuki, Mathematical Modeling of Tumor Malignancy in Bone Microenvironment
M. Yamamoto and Jun-ichiro Inoue, Signaling Networks Involved in the Malignant Transformation of Breast Cancer
PART III: Data Science: R. Morishita, H. Takahashi, and T. Sawasaki, Cell-free Based Protein Array Technology
Y. Nojima and Y. Takeda, Omics Data Analysis Tools for Biomarker Discovery and the Tutorial
M. Oyama and H. Kozuka-Hata, Integrative Network Analysis of Cancer Cell Signaling by High-resolution Proteomics
N. Nakamura and R. Yamada, Distance-matrix-based Extraction of Motility Features from Functionally Heterogeneous Cell Populations
S. Kawasaki, H. Hayashi, and Y. Tominaga, Data Analytic Study of Genetic Mechanism of Ovarian Carcinoma from Single Cell RNA-seq Data
PART 1: Mathematical Modeling: D. Guan, X. Luo, and H. Gao, Constitutive Modelling of Soft Biological Tissue from Ex Vivo to In Vivo: Myocardium as an Example
T. Colin, T. Michel, and C. Poignard, Mathematical Modeling of Gastro-intestinal Metastasis Resistance to Tyrosine Kinase Inhibitors
Y. Tanaka and T. Yasugi, Mathematical Modeling and Experimental Verification of the Proneural Wave
10.

電子ブック

EB
edited by P. Balasubramaniam, Kuru Ratnavelu, Grienggrai Rajchakit, G. Nagamani
出版情報: Singapore : Springer Nature Singapore : Imprint: Springer, 2021
シリーズ名: Springer Proceedings in Mathematics & Statistics ; 376
オンライン: https://doi.org/10.1007/978-981-16-6018-4
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Ananya Dwivedi Vinod Baniya and Ram Keval: Application of Optimal Controls on Dengue Dynamics: A Mathematical Study
Sandeep Sharma, Amit Sharma, and Fateh Singh: Did the COVID-19 Lockdown in India Succeed? A Mathematical Study
Bhavyata Patel, Rhydham Karnik, and Dhanesh Patel: Tumour Growth and its Treatment Response Delineate with Mathematical Models
Kuru Ratnavelu, Jia Hou Chin: A Computational Approach to the Three-body Coulomb Problem: Positron Scattering from Atomic Systems
M. Sankara Narayanan and M. Marudai: Common Best Proximity Points for Some Contractive Type Mappings
P. Kowsalya, R. Kaviya and P. Muthukumar: Dynamical Analysis of Conformable Fractional-Order Rosenzweig–MacArthur Prey–Predator System
P. Balasubramaniam: Existence of Solution for a Class of ABC Fractional Evolution Inclusions with Non-Instantaneous Impulses
Yeh Ching Low and Seng Huat ONG: Computation of Probabilities of Mixed Poisson Weibull Distribution
Md Mustafa Kamal and Imtiaz Ashraf: Cost of Energy for Distributed Energy Resources based Power Generation in a Rural Microgrid: Impact of Controlling Parameters
S.T. Padmapriya, T. Kalaiselvi and K. Somasundaram: Adaptive Learning Rate Based Convolutional Neural Network Models For Brain Tumor Images Classification
S. Praveenkumar, K. Somasundaram, T. Kalaiselvi and S. Magesh: Extended Discrete Cosine Transform
Mohd Fikree Hassan and Raveendran Paramesran: Image Reconstruction from Geometric Moments via Cascaded Digital Filters
Dhamodharan S. and Shanmugavadivu Pichai: Background Preserved and Feature-Oriented Contrast Improvement Using Weighted Cumulative Distribution Function for Digital Mammograms
N. Padmaja1 and P. Balasubramaniam: Finite-time Passification of Fractional-order Recurrent Neural Networks with Proportional Delay and Impulses: An LMI Approach
J. Priyadharsini1 and P. Balasubramaniam: Stability Result for Hilfer Fractional Integrodifferential Stochastic Equations with Fractional Noises and Non-instantaneous Impulses
B. Visakamoorthi and P. Muthukumar: Fuzzy Sampled-data Control for Single-master Multi-slave Teleoperation Systems with Stochastic Actuator Faults
B. Adhira and G. Nagamani: Extended Dissipativity Performance for the Delayed Discrete-time Neural Networks with Observer-Based Control
M. Shafiya and G. Nagamani: Synchronization of Delayed Fractional-order Memristive BAM Neural Networks
V. Aparna and N. Mohanapriya: r-Dynamic Chromatic Number of Extended Neighborhood Corona of Complete Graph with Some Graphs
G. Mahadevan, M. Vimala Suganthi and C. Sivagnanam: Corona Domination Number of Graphs
Immanuel John Raja Jebadurai, Getzi Jeba Leelipushpam Paulraj, Jebaveerasingh Jebadurai and Nancy Emymal Samuel: An AHP Based Unmanned Aerial Vehicle Selection for Data Collection in Wireless Sensor Networks
R. Pavithra and R. Rajkumar: On the Characteristic Polynomial of the Subdivision-vertex Join of Graphs
G. Gold Belsi and S. Kavitha: Genus and Book Thickness of the Inclusion Ideal Graph of a Ring
S. Angammal and G. Hannah Grace : A Comparison Between Fuzzy and Intuitionistic Fuzzy Optimization Technique for Profit and Production of Crops in Ariyalur District
M. Priya and R. Uthayakumar: A Study on HB Theory in Product Intuitionistic Fuzzy Fractal Space
S. Ganesan and R. Uthayakumar: An EOQ Inventory Model with Shortage Backorders and Incorporating a Learning Function in Fuzzy Parameters
Ananya Dwivedi Vinod Baniya and Ram Keval: Application of Optimal Controls on Dengue Dynamics: A Mathematical Study
Sandeep Sharma, Amit Sharma, and Fateh Singh: Did the COVID-19 Lockdown in India Succeed? A Mathematical Study
Bhavyata Patel, Rhydham Karnik, and Dhanesh Patel: Tumour Growth and its Treatment Response Delineate with Mathematical Models