Alex James, PhD

Associate Professor

Accepting PhD Students

  • 804 Citations
  • 15 h-Index
20052020
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Research Output 2005 2020

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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 proceedingChapter

Insulator
Inspection
Electric power transmission networks
Learning
Power transmission

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 proceedingChapter

Learning Theory
Learning
Neural Networks
Training Algorithm
Augmented Reality

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 proceedingChapter

Fuzzy Logic
Neuro-fuzzy
Fuzzy logic
Brain
Aptitude

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 proceedingChapter

Boidae
Python
Open Source Software
Recurrent Neural Networks
Digit

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 proceedingChapter

Data storage equipment
Learning
Data Classification
Prediction
Cognition

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 proceedingChapter

Memristors
Hardware
Equipment and Supplies
Computing
Availability

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 proceedingChapter

Learning algorithms
Learning Algorithm
Learning
Hardware
Memristors

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 proceedingChapter

Learning
Neural Networks
Neural networks
Cover
Deep neural networks

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 proceedingChapter

Nearest Neighbor Method
Feature Extraction
Feature extraction
Encoding
Hardware

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 proceedingChapter

Analog circuits
Libraries
Hardware
Analog Circuits
Architecture

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 proceedingChapter

Threshold logic
Logic circuits
Logic
Memristors
Memory architecture

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 proceedingChapter

Memristors
Equipment and Supplies
Network architecture
Process Variation
Model

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 proceedingChapter

Memristors
Neural Networks
Neural networks
Data storage equipment
Equipment and Supplies

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 proceedingChapter

Long-Term Memory
Memory Term
Recurrent neural networks
Short-Term Memory
Neural Networks

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 proceedingChapter

Neural Networks (Computer)
Speech Recognition
Speech recognition
Neural Network Model
Learning
2017
1 Citation (Scopus)

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 proceedingChapter

multisensor fusion
Data fusion
fusion
Medical imaging
Processing
2013

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 proceedingChapter

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 proceedingChapter

Internet
Embedded systems
Security of data
Microprocessor chips
Hardware
2012
1 Citation (Scopus)

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 proceedingChapter

Character recognition
Hardware
Data storage equipment
Complex networks
Computer hardware