Role of Cognitive Radio in 5G

Abstract There is an ever growing need for improved data transfer over the smart network device which exists. 5G is a futuristic technology which tries to achieve high data rates with reduced latency through wireless worldwide interconnections. There are many limitations related to the implementation of 5G technology. Cognitive Radio is a smart radio which […]

Computation of Parity Check Matrices for Binary EG-LDPC Codes used in Communication Systems

Abstract The Low Density Parity Check (LDPC) are direct codes, which are true block and Shannon Limit codes. These codes are attained least error floors of data bits for data transfer applications used in communication systems. However, the proposed LDPC codes are more beneficial than Turbo codes because of reduction in the decoding complexity and […]

Switching Party and Anti-Defection Law: Implementation and Impact on Democracy in Indonesia

Abstract This analysis purposes to provide an overview of the legal framework regarding the transfer of membership of political parties in Indonesia and its impact on the realm of democracy. This study uses qualitative-normative research methods by examining library materials or secondary data, as well as primary and secondary legal materials. The study uses the […]

Socio-Psychological Factors of Preferences Regarding Socio-Economic and Socio-Political Activity of the Russian Provincial Youth

Abstract The urgency of the problem lies in the need to analyse socio-psychological determinants of young people’s economic and political activity preferences. The purpose of the study is to investigate the directions of the relationships between preference of socio-economic and socio-political activity among young people and satisfaction of basic needs, riskiness, preference for sources of […]

Classifying Unbalanced Datasets Using Iterative Fuzzy Support Vector Machine

Abstract In real world applications, training the classifier using unbalanced dataset is the major problem, as it decreases the performance of Machine Learning algorithms. Unbalanced dataset can be prominently classified based on Support Vector Machine (SVM) which uses Kernel technique to find decision boundary. High Dimensionality and uneven distribution of data has a significant impact […]

A Review of Machine Learning Models for Predicting Autism Spectrum Disorder

Abstract Autism spectrum disorder (ASD) is a neurological and developmental disorder that impacts the behavior of the person throughout a life. Every individual with ASD exhibits the difficulty in communication and social interaction with restricted interests and repetitive behaviors. There is no standard diagnosis and treatment for ASD. The social behavior of the children can […]