A Smart-Anomaly-Detection System for Industrial Machines Based on Feature Autoencoder and Deep Learning.

Machine-health-surveillance systems are gaining popularity in industrial manufacturing systems due to the widespread availability of low-cost devices, sensors, and internet connectivity. In this regard, artificial intelligence provides valuable assistance in the form of deep learning methods to analyze and process big machine data. In diverse industrial applications, gears are considered a condemning element; many contributing failures occur due to an unexpected breakdown of the gears.

A sustainable advanced artificial intelligence-based framework for analysis of COVID-19 spread.

The idea of sustainability aims to provide a protected operating environment that supports without risking the capacity of coming generations and to satisfy their demands in the future. With the advent of artificial intelligence, big data, and the Internet of Things, there is a tremendous paradigm transformation in how environmental data are managed and handled for sustainable applications in smart cities and societies. The ongoing COVID-19 (Coronavirus Disease) pandemic maintains a mortifying impact on the world population's health.

Social distance monitoring framework using deep learning architecture to control infection transmission of COVID-19 pandemic.

The recent outbreak of the COVID-19 affected millions of people worldwide, yet the rate of infected people is increasing. In order to cope with the global pandemic situation and prevent the spread of the virus, various unprecedented precaution measures are adopted by different countries. One of the crucial practices to prevent the spread of viral infection is social distancing.

A deep learning-based social distance monitoring framework for COVID-19.

The ongoing COVID-19 corona virus outbreak has caused a global disaster with its deadly spreading. Due to the absence of effective remedial agents and the shortage of immunizations against the virus, population vulnerability increases. In the current situation, as there are no vaccines available; therefore, social distancing is thought to be an adequate precaution (norm) against the spread of the pandemic virus.

Recurrent Lateral Ventricular Enterogenous Cyst: A Report of an Extreme Rare Case.

The patient was a 45-year-old man with a progressive headache. Evaluation in detail revealed it as a case of left lateral ventricular space occupying lesion (SOL) resembling choroid plexus papilloma. A left parietal craniotomy was done and the lesion was removed completely through intraparietal approach.

Novel galactosyl donor with 2-naphthylmethyl (NAP) as the non participating group at C-2 position: Efficient synthesis of alpha-galactosyl ceramide.

Predominant alpha-linked products can be generated in glycosylation involving galactosyl trichloroacetimidate donors with 2-naphthylmethyl (NAP) as the non participating group at C-2 position. The above donor was successfully utilized for the synthesis of alpha-galactosyl ceramide.

Studying wedge factors and beam profiles for physical and enhanced dynamic wedges.

This study was designed to investigate variation in Varian's Physical and Enhanced Dynamic Wedge Factors (WF) as a function of depth and field size. The profiles for physical wedges (PWs) and enhanced dynamic wedges (EDWs) were also measured using LDA-99 array and compared for confirmation of EDW angles at different depths and field sizes. WF measurements were performed in water phantom using cylindrical 0.

Erratum to "Technical note: Accuracy checks of physical beam modifier factors algorithm used in computerized treatment planning system for a 15 MV photon beam" [Rep. Pract. Oncol. Radiother. 14 (2009) 214-220].

[This corrects the article DOI: 10.1016/j.rpor.