S. Shamshirband
Publications
200
h-index
28
Citations
3,450
Highly Influential Citations
74
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Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications
Samaher Al-Janabi, Ibrahim Al-Shourbaji, M. Shojafar, S. Shamshirband
Computer Science
1 July 2017
TLDR
This paper reviewed WBAN communication architecture, security and privacy requirements and security threats and the primary challenges in WBANs to these systems based on the latest standards and publications and covers the state-of-art security measures and research. Expand
189 Citations
10
PDF
A survey on indexing techniques for big data: taxonomy and performance evaluation
A. Gani, Aïsha Siddiqa, S. Shamshirband, F. Nasaruddin
Computer Science
Knowledge and Information Systems
1 February 2016
TLDR
Taxonomy of indexing techniques is developed to provide insight to enable researchers understand and select a technique as a basis to design an indexing mechanism with reduced time and space consumption for BD-MCC.Expand
185 Citations
9
An appraisal and design of a multi-agent system based cooperative wireless intrusion detection computational intelligence technique
S. Shamshirband, N. B. Anuar, Miss Laiha Mat Kiah, Ahmed Patel
Computer ScienceEng. Appl. Artif. Intell.
1 October 2013
TLDR
A review and categorization of existing IDPS schemes in terms of traditional artificial computational intelligence with a multi-agent support, which amalgamates a fuzzy reinforcement learning knowledge management by creating a far superior technological platform that is far more accurate in detecting attacks. Expand
124 Citations
5
PDF
A Study Of Machine Learning Classifiers for Anomaly-Based Mobile Botnet Detection
Ali Feizollah, N. B. Anuar, R. Salleh, F. Amalina, Ra’uf Ridzuan Ma’arof, S. Shamshirband
Computer Science
1 December 2013
TLDR
This study evaluates five machine learning classifiers, namely Naive Bayes, k-nearest neighbour, decision tree, multi-layer perceptron, and support vector machine and finds that knearest neighbour provides the optimum results in terms of performance among the classifiers. Expand
78 Citations
4
A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation
Kasra Mohammadi, S. Shamshirband, C. W. Tong, Muhammad Arif, D. Petkovic, Sudheer Ch
Mathematics
1 March 2015
In this paper, a new hybrid approach by combining the Support Vector Machine (SVM) with Wavelet Transform (WT) algorithm is developed to predict horizontal global solar radiation. The predictions are… Expand
168 Citations
4
PDF
A Deep Learning Ensemble Approach for Diabetic Retinopathy Detection
Sehrish Qummar, F. Khan, +5 authors Waqas Jadoon
Medicine, Computer Science
IEEE Access
15 October 2019
TLDR
The experimental results show that the proposed model detects all the stages of DR unlike the current methods and performs better compared to state-of-the-art methods on the same Kaggle dataset. Expand
57 Citations
4
D-FICCA: A density-based fuzzy imperialist competitive clustering algorithm for intrusion detection in wireless sensor networks
S. Shamshirband, A. Amini, N. B. Anuar, Miss Laiha Mat Kiah, Teh Ying Wah, S. Furnell
Engineering
1 September 2014
Abstract Owing to the scattered nature of Denial-of-Service attacks, it is tremendously challenging to detect such malicious behavior using traditional intrusion detection systems in Wireless Sensor… Expand
99 Citations
3
PDF
A Hybrid clustering and classification technique for forecasting short‐term energy consumption
M. Torabi, S. Hashemi, M. Saybani, S. Shamshirband, A. Mosavi
Computer Science
2019
TLDR
A hybrid approach to predict the electric energy usage of weather-sensitive loads using the clustering paradigm along with ANN and SVM approaches for accurate short-term prediction of electric energyusage, using weather data is presented.Expand
58 Citations
3
PDF
Sustainable business models: A review
Saeed Nosratabadi, Amir Mosavi, S. Shamshirband, E. Zavadskas, A. Rakotonirainy, K. Chau
Economics, Business
19 March 2019
During the past two decades of e-commerce growth, the concept of a business model has become increasingly popular. More recently, the research on this realm has grown rapidly, with diverse research… Expand
258 Citations
2
PDF
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method.
Farzaneh Sajedi Hosseini, Bahram Choubin, +4 authors A. Haghighi
Medicine, Computer Science
The Science of the total environment
21 November 2019
TLDR
The current research proposes the state-of-the-art ensemble models of boosted generalized linear model (GLMBoost) and random forest (RF) and Bayesian generalizedlinear model (BayesGLM) methods for higher performance modeling and a pre-processing method is used to eliminate redundant variables from the modeling process. Expand
62 Citations
2
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