Tag Archives: Artificial Intelligence

Analysis on Deep Learning Performance with Low Complexity (Published)

In this article, presenting  deep learning to the LTE-A uplink channel estimation system. This work involved creating two SC-FDMA databases, one for training and one for testing, based on three different channel propagation models. The first part of this work consists in applying artificial neural networks to estimate the channel of the SC-FDMA link. Neural network training is an iterative process consisting of adapting the values ​​(weights and biases) of its parameters. After training, the neural network is tested and implemented in the recipient. The second part of this work addresses the same experiment, but uses deep learning, not traditional neural networks. The simulation results show that deep learning has improved significantly compared to traditional methods for bit error rate and processing speed. The third part of this work is devoted to complexity research. Deep learning has been shown to provide better performance than less complex MMSE estimators.

Keywords: ANN, Artificial Intelligence, LTE-A, SC-FDMA, and portable, channel estimation, communications systems, deep learning, mobile

The Role of Artificial Intelligence in Creating a Sustainable Law Practice in Nigeria (Published)

The quest for artificial intelligence by the world as a whole is to show the determinable level of human perceptions from humans towards machines and to replace themselves with those machines. By this foregoing, every profession in order to meet up with the new global reality has embraced the use of artificial intelligence in its operations. Law as a mother of all professions has followed suit to welcome the use of artificial intelligence in its world practice. Nigeria legal profession has also endeavoured to imbibe the use of artificial intelligence but that alone had led to divergent views by various authors on whether or not artificial intelligence can create and sustain the future of Nigeria law practice yearns for.This paper focuses on introduction and meaning of artificial intelligence, brief historical background of artificial intelligence vis a vis Nigeria Legal profession, statutory provisions regulating artificial intelligence in Nigeria legal system (if any), two school of thoughts on artificial intelligence in Nigeria law Practice and lastly is the conclusion and recommendations. To achieve these, the writer will make use of relevant materials at his disposal.

Keywords: Artificial Intelligence, Nigeria legal profession and creating a sustainable law practice

The Study of Three Multivariate Regression, Neural Network and Neuro-Fuzzy Models Efficiency in Splash Erosion Estimation (Published)

The application of artificial intelligence in soil properties prediction has been progressing and developing in recent years. Determination of aggregate stability properties as indices against soil erodibility is time consuming and difficult. The predictability of three multivariate linear regression, neural network and neuro-fuzzy models efficiency in splash erosion prediction has been tested in this study. Due to low correlation of some properties of the soil, only four input parameters of Sodium Absorption Ratio (SAR), Porosity, Geometric Mean Diameter (GMD) of aggregates and runoff height have been analyzed as input variables in splash erosion prediction. The results indicated the priority of neuro-fuzzy method compared to others. Coefficient of determination of 0.798 in gauss2mf membership function  with 3 membership functions and Hybrid Learning Algorithm have been obtained in adaptive neuro-fuzzy inference method. The small number of available data, in addition to samples distribution and spatial changes of samples led to low accuracy of multivariate linear regression method in splash erosion prediction.

Keywords: Aggregate Stability, Artificial Intelligence, Geometric Mean Diameter (GMD), Soil Erodibility

Artificial Intelligence in the Management of the Firm (Published)

Artificial Intelligence has changed from inquire about research facilities to business works. . current  studies refers to that several companies in the last two years has developed AI applications till the present time in most of these applications represents as systems only but the others are identified with conventional data frameworks like as information preparing and administration data frameworks and notwithstanding learning based Expert Systems (ES) applications and a numerous number of AI applications, for example, neural systems , information based arranging , booking frameworks , discourse amalgamation frameworks , voice-acknowledgment frameworks chiefs and designers see minimal about the commonsense issues related with the association of fake keen , administration and associations likewise this theme may consider an essential one in light of the fact that the accomplishment of AI framework relies upon solving different technical, managerial and organizational issues.

Keywords: Artificial Intelligence, Firms, Initial Data, Network Architecture