Future Computing and Informatics Journal 

TL;DR: Deep Neural Network classifier which is one of the DL architectures for classifying a dataset of 66 brain MRIs into 4 classes e.g. normal, glioblastoma, sarcoma and metastatic bronchogenic carcinoma tumors was used.

TL;DR: Popular IoT cloud platforms are surveyed in light of solving several service domains such as application development, device management, system management, heterogeneity management, data management, tools for analysis, deployment, monitoring, visualization, and research.

TL;DR: Although there are many studies that presented the application of neural network models, but few of them proposed new neural networks models for forecasting that considered theoretical support and a systematic procedure in the construction of model, this leads to the importance of formulating new models of neural networks.

TL;DR: state-of-art of nine of recent bio-inspired algorithms, gap analysis, and its applications namely; Genetic Bee Colony (GBC) Algorithm, Fish Swarm Algorithm (FSA), Cat Swarm Optimization (CSO), Whale Optimization Al algorithm (WOA), Artificial Algae Algorithm (AAA), Elephant Search Algorithms (ESA), Chicken Swarmoptimization Algorithm(CSOA), Moth flame optimization (MFO), and Grey Wolf Optimization(GW

TL;DR: This paper explores the task scheduling algorithm using a hybrid approach, which combines desirable characteristics of two of the most widely used biologically-inspired heuristic algorithms, the genetic algorithms and the bacterial foraging algorithms in the computing cloud.