Research Output per year

## Research Output 2005 2020

### Deep-learning-based approach for outdoor electrical insulator inspection

Pernebayeva, D. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 81-88 8 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Deep learning theory simplified

Bakambekova, A. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 41-55 15 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Deep neuro-fuzzy architectures

Dorzhigulov, A. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 195-213 19 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Getting started with TensorFlow deep learning

Toleubay, Y. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 57-67 11 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### HTM theory

Dauletkhanuly, Y., Krestinskaya, O. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 169-180 12 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Introduction to neuro-memristive systems

James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 3-12 10 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Learning algorithms and implementation

Krestinskaya, O. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 91-102 12 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Memristive deep convolutional neural networks

Krestinskaya, O. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 131-137 7 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Memristive hierarchical temporal memory

Krestinskaya, O., Dolzhikova, I. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 181-194 14 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Memristive LSTM architectures

Adam, K., Smagulova, K. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 155-167 13 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Memristive threshold logic networks

Dolzhikova, I., Kumar Maan, A. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 117-130 14 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Memristors: Properties, models, materials

Krestinskaya, O., Irmanova, A. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 13-40 28 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Multi-level memristive memory for neural networks

Irmanova, A., Myrzakhmet, S. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 103-116 14 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Overview of long short-term memory neural networks

Smagulova, K. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 139-153 15 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Speech recognition application using deep learning neural network

Izbassarova, A., Duisembay, A. & James Pappachen, A., Jan 1 2020,*Modeling and Optimization in Science and Technologies.*Springer Verlag, p. 69-79 11 p. (Modeling and Optimization in Science and Technologies; vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### A review of feature and data fusion with medical images

James Pappachen, A. & Dasarathy, B. V., Jan 1 2017,*Multisensor Data Fusion: From Algorithms and Architectural Design to Applications.*CRC Press, p. 491-507 17 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### MACHINE INTELLIGENCE USING HEIERARCHICAL MEMORY NETWORKS

James, AP., 2013,*Handbook of Research on Computational Intelligence for Engineering, Science, and Business.*IGI Global Publishing, p. 62-74 13 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Trust issues in modern embedded computing

James Pappachen, A. & Sherin, S., Jan 1 2013,*Managing Trust in Cyberspace.*CRC Press, p. 361-369 9 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

### Machine intelligence using hierarchical memory networks

James, A. P., Dec 1 2012,*Handbook of Research on Computational Intelligence for Engineering, Science, and Business.*IGI Global, p. 62-73 12 p.

Research output: Chapter in Book/Report/Conference proceeding › Chapter