Abstract We use the shear construction to construct and classify a wide range of two-step solvable Lie groups admitting left-invariant SKT structure. reduce this specification data on Abelian algebras, which then is studied more deeply in different cases. obtain classifications structure results for $$\mathfrak {g}$$ g <...

Abstract In an era characterized by fast technological progress that introduces new unpredictable scenarios every day, working in the law field may appear very difficult, if not supported right tools. this respect, some systems based on Artificial Intelligence methods have been proposed literature, to support several tasks legal sector. Following line of research, paper we propose a novel metho...

This research proposed an improved filtering spam technique for suspected emails, messages based on feature weight and the combination of two-step clustering and logistic regression algorithm. Unique, important features are used as the optimum input for a hybrid proposed approach. This study adopted a spam detector model based on distance measure and threshold value. The aim of this model was t...

In this paper, multiple device-to-device (D2D) communication underlaying cellular multiuser multiple inputs multiple outputs (MU-MIMO) systems is investigated. This type of communication can improve spectral efficiency to address future demand, but interference management, user clustering, and resource allocation are three key problems related to resource sharing. Interference alignment (IA) is...

A two-step learning scheme for radial basis function neural networks, which combines the genetic algorithm (GA) with the hybrid learning algorithm (HLA), is proposed in this paper. It is compared with the methods of the GA, the recursive orthogonal least square algorithm (ROLSA) and another two-step learning scheme for RBF neural networks, which combines the K-means clustering with the HLA (K-m...

As profit of steel enterprises is getting smaller and comparison harder, in manufacturing industry quality inspection control have become main measures for over the difficulties. In sequential process, failure occurred preceding process make final worse. Detecting factor which affects to necessary stable efficient. Existing studies improve surface small bars assume that these been identified fo...

Clustering is a predominant technique used in image segmentation due to its simple, easy and efficient approach. It very important for the analysis, extraction interpretation of images; which makes it multiple applications various fields. In this article, we propose different based on cooperation between an optimization algorithm Cuckoo Search Algorithm (CSA) clustering Fuzzy C-means (FCM). The...