This study presents a smart technological framework to efficiently remove azithromycin from natural soil resources using bioremediation techniques. The consists of several modules, each with different models such as Penicillium Simplicissimum (PS) bioactivity, soft computing models, statistical optimisation, Machine Learning (ML) algorithms, and Decision Tree (DT) control system based on Remova...

Infectious bovine keratoconjunctivitis (IBK or pinkeye) is a common, highly contagious condition affecting primarily calves.1,2 The incubation period is typically 2 to 3 days, with a small opaque area appearing on the cornea within 2 days. Elevated body temperature and intense pain depress the appetite, and deep corneal ulceration can develop within 6 days. Most infected eyes heal within 3 to 6...

Resumen. En la presente investigación se propone un modelo para la identi cación de per les de usuario. El modelo propuesto utiliza un conjunto de características extraídas de los textos. El modelo fue validado con 4 corpus en inglés: de Blogs, de Redes sociales, de Criticas y de Twitter y con 2 corpus en español: de Blogs y de Criticas. Se compara el desempeño de tres de los algoritmos más usa...

I clnulyze in this article the imp& ojinsideltrading regulatron (ITRJ on (I securities market and ML soctal welfure, and argue that the in+osition “j ITR forces n reallocation of wealth and rusk thut decreases social welj&e. Three wason.~ pxfiloin &IIU result: First, ITR inrrzuses the volutdity of securitiesprices; second, it worsens the Ibk s/la&g “mong investors; and, third, it dzverts resoux...

This paper implements the real-valued negative selection with variable-sized detectors (V-Detectors) for projecting the right decision with respect to crude oil price. The Brent crude oil data is retrieved from US department of energy. Using varying radius values of the V-Detector, comparison in terms of detection rate and false alarm rate, with support vector machine, naïve bayes, multi-layer ...

This paper presents the results of research on the use of smartphone sensors (namely, GPS and accelerometers), geospatial information (points of interest, such as bus stops and train stations) and machine learning (ML) to sense mobility contexts. Our goal is to develop techniques to continuously and automatically detect a smartphone user's mobility activities, including walking, running, drivin...

As complete elimination of porosity from the weld is very difficult, next option available to minimize this porosity, which crucial for safe performance welded components. However, investigation through experiments alone tedious and time consuming. Additionally, limited models are in literature accurate prediction different attributes. The present study, thus, addressees both experimental as we...