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Chapter and Conference Paper
Decision Support System for Dental Clinics: A Systematic Literature Review Protocol
Decision Support System (DSS) is a new trend in technology which provides decisions to users based on the information. Nowadays, it is being used in many fields and, it is becoming an essential part of the den...
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Chapter and Conference Paper
Enhanced Bat Algorithm for Solving Non-Convex Economic Dispatch Problem
Bat algorithm lags behind other modern metaheuristic algorithms in terms of search efficiency, due to premature convergence. Once trapped in any sub-optimal region, the algorithm is unable to escape because of...
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Chapter and Conference Paper
The Role of Named Entities in Linking News Articles During Preservation
In the recent, the World Wide Web has become a platform for online news publications. Many sources started publishing digital versions of news articles online to vast users through a variety of devices, i.e. t...
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Article
Euclidean space based hierarchical clusterers combinations: an application to software clustering
Hierarchical clustering groups similar entities on the basis of some similarity (or distance) association and results in a tree like structure, called dendrogram. Dendrograms represent clusters in a nested man...
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Chapter and Conference Paper
Planquarium: A Context-Aware Rule-Based Indoor Kitchen Garden
Planquarium is a context-aware indoor kitchen garden system, where a user can grow fresh plants and vegetables without prior knowledge. Further, the Planquarium will take care of the plants that are inside it...
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Chapter and Conference Paper
Studying the Effect of Optimizing Weights in Neural Networks with Meta-Heuristic Techniques
Meta-heuristic algorithms provide derivative-free solutions to optimize complex problems. Back-propagation Neural Network (BP) algorithm is one of the most commonly used and a popular technique to optimize the...
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Chapter and Conference Paper
Exploration and Exploitation Measurement in Swarm-Based Metaheuristic Algorithms: An Empirical Analysis
Swarm-based metaheuristics, inspired from intelligent social behaviors in nature, have achieved wider acceptance among researchers as compared to other population-based methods. The success of any swarm-based ...
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Article
Improved binary similarity measures for software modularization
Various binary similarity measures have been employed in clustering approaches to make homogeneous groups of similar entities in the data. These similarity measures are mostly based only on the presence or abs...
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Article
A survey on bug prioritization
Daily large number of bug reports are received in large open and close source bug tracking systems. Dealing with these reports manually utilizes time and resources which leads to delaying the resolution of imp...
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Chapter and Conference Paper
A New Binary Similarity Measure Based on Integration of the Strengths of Existing Measures: Application to Software Clustering
Different binary similarity measures have been explored with different agglomerative hierarchical clustering approaches for software clustering, to make the software systems understandable and manageable. Simi...
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Chapter and Conference Paper
Optimization of ANFIS Using Artificial Bee Colony Algorithm for Classification of Malaysian SMEs
Adaptive Neuro-Fuzzy Inference System (ANFIS) has been widely applied in industry as well as scientific problems. This is due to its ability to approximate every plant with proper number of rules. However, sur...
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Chapter and Conference Paper
Optimizing Weights in Elman Recurrent Neural Networks with Wolf Search Algorithm
This paper presents a Metahybrid algorithm that consists of the dual combination of Wolf Search (WS) and Elman Recurrent Neural Network (ERNN). ERNN is one of the most efficient feed forward neural network lea...
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Chapter and Conference Paper
An Improved Gbest Guided Artificial Bee Colony (IGGABC) Algorithm for Classification and Prediction Tasks
Artificial Neural Networks (ANN) performance depends on network topology, activation function, behaviors of data, suitable synapse’s values and learning algorithms. Many existing works used different learning ...
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Chapter and Conference Paper
Hybrid Guided Artificial Bee Colony Algorithm for Numerical Function Optimization
Many different earning algorithms used for getting high performance in mathematics and statistical tasks. Recently, an Artificial Bee Colony (ABC) developed by Karaboga is a nature inspired algorithm, which ha...
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Chapter and Conference Paper
Software Clustering Using Automated Feature Subset Selection
This paper proposes a feature selection technique for software clustering which can be used in the architecture recovery of software systems. The recovered architecture can then be used in the subsequent phase...
