Neural Information Processing
22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings Part III
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Article
Recent advancement of intelligent-systems in edible birds nest: A review from production to processing
Edible Bird Nest (EBN) constitutes a thriving industry in several Southeast Asian nations where its value chain encompasses several critical processes starting with nest harvesting to processing, and finally s...
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Chapter and Conference Paper
An Improved NSGA-II for UAV Path Planning
Palm oil is an edible vegetable oil that can be used in a wide range of products across different industries ranging from food and beverages, personal care and cosmetics, animal feed, industrial products, to b...
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Chapter and Conference Paper
Wiper Arm Recognition Using YOLOv4
Quantity control is as important as quality control for those products manufactured in the mass production phase. However, there is scarce work implementing deep learning methods in the manufacturing line, esp...
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Chapter and Conference Paper
Artificial Honey Bee Swarm Intelligence for the Autograding of EBN
Swarm intelligence represents a group of computing paradigms inspired by the collective behaviour of animals and insects. While there are many swarm intelligence inspired algorithms there are those modeled aft...
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Article
DropCircuit : A Modular Regularizer for Parallel Circuit Networks
How to design and train increasingly large neural network models is a topic that has been actively researched for several years. However, while there exists a large number of studies on training deeper and/or ...
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Chapter and Conference Paper
Feature Extraction for the Identification of Two-Class Mechanical Stability Test of Natural Rubber Latex
Rubber latex concentrate is a popular raw material widely used for making many common household and industrial products. As its quality is not consistent due to either, the source, weather, storage time, etc. ...
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Chapter and Conference Paper
Improving Neural Network Generalization by Combining Parallel Circuits with Dropout
In an attempt to solve the lengthy training times of neural networks, we proposed Parallel Circuits (PCs), a biologically inspired architecture. Previous work has shown that this approach fails to maintain gen...
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Chapter and Conference Paper
User Identification of Keystroke Biometric Patterns with the Cognitive RAM Weightless Neural Net
A user identification system which matches the keystroke dynamics of the users with the Cognitive RAM (CogRAM) weightless neural net is discussed in this paper. The keystroke patterns are made up of a common p...
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Book and Conference Proceedings
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Book and Conference Proceedings
Neural Information Processing
22nd International Conference, ICONIP 2015, November 9-12, 2015, Proceedings, Part IV
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Book and Conference Proceedings
Neural Information Processing
22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part I
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Book and Conference Proceedings
Neural Information Processing
22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part II
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Chapter and Conference Paper
Classification of Keystroke Patterns for User Identification in a Pressure-Based Ty** Biometrics System with Particle Swarm Optimization (PSO)
Classification of users’ keystroke patterns captured from a ty** biometrics system is discussed in this paper. Although the user identification system developed here requires the user to key-in their passwor...
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Chapter and Conference Paper
An Improved Particle Swarm Optimisation for Image Segmentation of Homogeneous Images
Image segmentation is one of the fundamental and important steps that is needed to prepare an image for further processing in many computer vision applications. Over the last few decades, many image segmentati...
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Chapter and Conference Paper
Human Posture Recognition with the Stochastic Cognitive RAM Network
This paper examines a weightless neural network (WNN) for human posture recognition. Like all earlier weightless neural network models, the Cognitive RAM Network (CogRAM) learns in one pass through the data an...
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Chapter and Conference Paper
Investigations into Particle Swarm Optimization for Multi-class Shape Recognition
There has been a significant drop in the cost as well as an increase in the quality of imaging sensors due to stiff competition as well as production improvements. Consequently, real-time surveillance of priva...
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Article
Open AccessDesign and Evaluation of a Pressure-Based Ty** Biometric Authentication System
The design and preliminary evaluation of a pressure sensor-based ty** biometrics authentication system (PBAS) is discussed in this paper. This involves the integration of pressure sensors, signal processing ...
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Chapter and Conference Paper
Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification
One of the issues associated with pattern classification using data-based machine learning systems is the “curse of dimensionality”. In this paper, the circle-segments method is proposed as a feature selection me...
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Chapter and Conference Paper
Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection
Protein mass spectrometry (MS) pattern recognition has recently emerged as a new method for cancer diagnosis. Unfortunately, classification performance may degrade owing to the enormously high dimensionality o...
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Chapter
Fault Diagnosis in a Power Generation Plant Using a Neural Fuzzy System with Rule Extraction
In this chapter, FMM is endowed with a rule extraction algorithm. With the rule extraction algorithm, FMM is able to explain its predictions using fuzzy if-then rules, thus overcoming the “black-box” phenomeno...
