Controlling

This paper proposes an intelligent hybrid model that leverages machine learning and artificial intelligence to enhance the security of Wireless Sensor Networks (WSNs) by identifying and preventing cyberattacks. The study employs feature reduction …

The emergence of mobile edge computing (MEC) has brought cloud services to nearby edge servers facilitating penetration of real-time and resource-consuming applications from smart mobile devices at a high rate. The problem of task offloading from …

In this study, we present a sophisticated multi-label deep learning framework for the prediction of RNA-RBP (RNA-binding protein) interactions, a critical aspect in understanding RNA functionality modulation and its implications in disease …

In communication technologies, device-to-device (D2D) communication is essential for resource management and power control, which are major research concerns nowadays. D2D resource allocation involves dividing vital resources, such as time, power …

Next let us consider the second paradigm—“The Limited Earth.” The problems caused by the fact that the Earth is limited are far-reaching. These include not only energy, resources, global warming, air pollution, water pollution, ground pollution, food

The association models, appropriate for the analysis of ordinal contingency tables, are presented for two-way and multi-way contingency tables. Their features, properties, and the associated graphs are discussed. The models of uniform association (U)

Issues discussed in Chap.2 for two-way tables are extended to multi-way contingency tables. Emphasis is given to clarifying the concepts of partial and marginal association. Further on, stratified 2 × 2 tables are analyzed by the Mantel–Haenszel and

Basic concepts of two-way contingency table analysis are introduced. Descriptive and inferential results on estimation and testing of basic hypotheses are discussed and illustrated in R. In particular the comparison of two independent proportions, th