Virtual screening is one of the most common computer-aided drug design techniques that apply computational tools and methods on large libraries molecules to extract drugs. Ensemble learning a recent paradigm launched improve machine results in terms predictive performance robustness. It has been successfully applied ligand-based virtual (LBVS) approaches. Applying ensemble huge molecular comput...

In the pharmaceutical field, early detection of lung nodules is indispensable for increasing patient survival. We can enhance quality medical images by intensifying radiation dose. High dose provokes cancer, which forces experts to use limited radiation. Using abrupt generates noise in CT scans. propose an optimal Convolutional Neural Network model Gaussian removed better classification and inc...

The proliferation of semantic data in the form Resource Description Framework (RDF) triples demands an efficient, scalable, and distributed storage along with a highly available fault-tolerant parallel processing strategy. There are three open issues RDF management systems that not well addressed altogether existing work. First is querying efficiency, second solutions optimized for certain type...

The growing availability of big data has induced new storing and processing techniques implemented in big data systems such as Apache Hadoop or Apache Spark. With increased implementations of these systems in organizations, simultaneously, the requirements regarding performance qualities such as response time, throughput, and resource utilization increase to create added value. Guaranteeing the...

The shortcomings and drawbacks of batch-oriented data processing were widely recognized by the Big Data community quite a long time ago. It became clear that realtime query processing and in-stream processing is the immediate need in many practical applications. In recent years, this idea got a lot of traction and a whole bunch of solutions like Twitter’s Storm, Yahoo’s S4, Cloudera’s Impala, A...