In the past few years, Internet of Things (IoT) devices have evolved faster and use these is exceedingly increasing to make our daily activities easier than ever. However, numerous security flaws persist on IoT due fact that majority them lack memory computing resources necessary for adequate operations. As a result, are affected by variety attacks. A single attack network systems or can lead s...

Traditional clustering methods fail to accurately cluster the feature vectors of backers and macth potential compatible crowdfunding projects, mainly due their sensitivity setting initial value. In this paper, we use Apriori algorithm in conjunction with other machine learning tools provide more accurate recommendations for projects. Focusing on projects listed a major reward-based platform, fi...

Nano-hybrid systems are products of interactions between organic and inorganic materials designed planned to develop drug delivery platforms that can be self-assembled. Poloxamine, commercially available as Tetronic®, is formed by blocks copolymers consisting poly (ethylene oxide) (PEO) (propylene (PPO) units arranged in a four-armed star shape. Structurally, Tetronics similar Pluronics®, with ...

Abstract Micro, small and medium enterprises (MSMEs) dominate the business landscape create more than half of employment worldwide. How we can apply big data analytical tools such as machine learning to examine performance MSMEs has become an important question provide quicker results recommend better reliable solutions that improve performance. This paper proposes a novel method for estimating...

The outbreak of COVID-19 has promoted distance learning and rapidly increased the usage online platforms. As a result, more IT companies are competing to offer high-quality Web-based E-Learning Platforms (WELPs). However, problem facing educational institutions is how evaluate quality WELPs choose one that best fulfills their needs. In order select most appropriate WELP among different alternat...

In order to achieve a highly accurate estimation of solar energy resource potential, novel hybrid ensemble-learning approach, hybridizing Advanced Squirrel-Search Optimization Algorithm (ASSOA) and support vector regression, is utilized estimate the hourly tilted irradiation for selected arid regions in Algeria. Long-term measured meteorological data, including mean-air temperature, relative hu...

Background: Multiple Sclerosis (MS) is the most frequent non-traumatic neurological disease capable of causing disability in young adults. Detection of MS lesions with magnetic resonance imaging (MRI) is the most common technique. However, manual interpretation of vast amounts of data is often tedious and error-prone. Furthermore, changes in lesions are often subtle and extremely unrepresentati...