Applied Computing and Informatics: Volume 18 Issue 1/2 , Open Access

Security analysis of mobile crowd sensing applications

Nsikak P. Owoh, M. Mahinderjit Singh

The proliferation of mobile phones with integrated sensors makes large scale sensing possible at low cost. During mobile sensing, data mostly contain sensitive information of…

Handling data-skewness in character based string similarity join using Hadoop

Kanak Meena, Devendra K. Tayal, Oscar Castillo, Amita Jain

The scalability of similarity joins is threatened by the unexpected data characteristic of data skewness. This is a pervasive problem in scientific data. Due to skewness, the…

Market-driven management of start-ups: The case of wearable technology

Milad Dehghani, A. Mohammed Abubakar, Mohsen Pashna

The purpose of this paper is to identify and describe the drivers of lean approaches and successful management of wearable technology start-ups. The paper is a descriptive study…

MulTed: a multilingual aligned and tagged parallel corpus

Imad Zeroual, Abdelhak Lakhouaja

Recently, more data-driven approaches are demanding multilingual parallel resources primarily in the cross-language studies. To meet these demands, building multilingual parallel…

Direct torque control of dual star induction motor using a fuzzy-PSO hybrid approach

Ghoulemallah Boukhalfa, Sebti Belkacem, Abdesselem Chikhi, Said Benaggoune

This paper presents the particle swarm optimization (PSO) algorithm in conjuction with the fuzzy logic method in order to achieve an optimized tuning of a proportional integral…

Predictive modelling and analytics for diabetes using a machine learning approach

Harleen Kaur, Vinita Kumari

Diabetes is a major metabolic disorder which can affect entire body system adversely. Undiagnosed diabetes can increase the risk of cardiac stroke, diabetic nephropathy and other…

An adaptive hybrid approach: Combining genetic algorithm and ant colony optimization for integrated process planning and scheduling

Mehmet Fatih Uslu, Süleyman Uslu, Faruk Bulut

Optimization algorithms can differ in performance for a specific problem. Hybrid approaches, using this difference, might give a higher performance in many cases. This paper…

Streaming feature selection algorithms for big data: A survey

Noura AlNuaimi, Mohammad Mehedy Masud, Mohamed Adel Serhani, Nazar Zaki

Organizations in many domains generate a considerable amount of heterogeneous data every day. Such data can be processed to enhance these organizations’ decisions in real time…

Moving objects classification via category-wise two-dimensional principal component analysis

Falah Alsaqre, Osama Almathkour

Classifying moving objects in video sequences has been extensively studied, yet it is still an ongoing problem. In this paper, we propose to solve moving objects classification…

Building a novel classifier based on teaching learning based optimization and radial basis function neural networks for non-imputed database with irrelevant features

Ch. Sanjeev Kumar Dash, Ajit Kumar Behera, Satchidananda Dehuri, Sung-Bae Cho

This work presents a novel approach by considering teaching learning based optimization (TLBO) and radial basis function neural networks (RBFNs) for building a classifier for the…

A Mixed approach of Deep Learning method and Rule-Based method to improve Aspect Level Sentiment Analysis

Paramita Ray, Amlan Chakrabarti

Social networks have changed the communication patterns significantly. Information available from different social networking sites can be well utilized for the analysis of users…