A Comparision of Node Detection Algorithms Over Wireless Sensor Network (2022)
Journal Article
Mahdi, H., Alwan, M., Al-Bander, B., & Zuhair, A. (2022). A Comparision of Node Detection Algorithms Over Wireless Sensor Network. International Journal of Interactive Mobile Technologies, 16(7), 38 - 53. https://doi.org/10.3991/ijim.v16i07.24609

<jats:p>MANET is standing for Network as Mobile Ad-hoc which is a self-directed mobile handlers group which communicates over relatively bandwidth constrained wireless channels. Many services with different classes of Quality of Services (QoS) could... Read More about A Comparision of Node Detection Algorithms Over Wireless Sensor Network.

Towards Accurate Predictions of Customer Purchasing Patterns (2017)
Conference Proceeding
Valero-Fernandez, R., Collins, D. J., Lam, K., Rigby, C., & Bailey, J. (2017). Towards Accurate Predictions of Customer Purchasing Patterns. . https://doi.org/10.1109/CIT41763.2017

range of algorithms was used to classify online retail customers of a UK company using historical transaction data. The predictive capabilities of the classifiers were assessed using linear regression, Lasso and regression trees. Unlike most related... Read More about Towards Accurate Predictions of Customer Purchasing Patterns.

ON THE UNDECIDABILITY OF THE IDENTITY CORRESPONDENCE PROBLEM AND ITS APPLICATIONS FOR WORD AND MATRIX SEMIGROUPS (2010)
Journal Article
Bell, P. (2010). ON THE UNDECIDABILITY OF THE IDENTITY CORRESPONDENCE PROBLEM AND ITS APPLICATIONS FOR WORD AND MATRIX SEMIGROUPS. International Journal of Foundations of Computer Science, 963 - 978. https://doi.org/10.1142/S0129054110007660

In this paper we study several closely related fundamental problems for words and matrices. First, we introduce the Identity Correspondence Problem (ICP): whether a finite set of pairs of words (over a group alphabet) can generate an identity pair by... Read More about ON THE UNDECIDABILITY OF THE IDENTITY CORRESPONDENCE PROBLEM AND ITS APPLICATIONS FOR WORD AND MATRIX SEMIGROUPS.