DPU-ALDOSKI dataset of Monitoring and Controlling distributed far distances energy consumed system based on Internet of Things.

This article presents the created dataset obtained from implementation of a proposed distributed energy management system based on the Internet of Things (IoT). The proposed approach was implemented and evaluated at two distinct institutions, namely Duhok and Shekhan, which are geographically distant from each other. The proposed system comprises two primary phases, namely Monitoring and Controlling, which are implemented using ESP32 microcontrollers.

Rider weed deep residual network-based incremental model for text classification using multidimensional features and MapReduce.

Increasing demands for information and the rapid growth of big data have dramatically increased the amount of textual data. In order to obtain useful text information, the classification of texts is considered an imperative task. Accordingly, this article will describe the development of a hybrid optimization algorithm for classifying text.