Data industry has grown exceedingly, now finding its applications in the fields no one would have imagined a few decades ago. science, Machine learning and Artificial intelligence major impacts national economy through million ways. Today, we will explore of their untapped uses: Traffic! This research document provide methods information regarding possible integration Radio-Frequency Identifica...

Abstract Recently, the use of machine learning in meteorology has increased greatly. While many methods are not new, university classes on largely unavailable to students and required become a meteorologist. The lack formal instruction contributed perception that “black boxes” thus end-users hesitant apply their everyday workflow. To reduce opaqueness lower hesitancy toward meteorology, this pa...

Within this Paper, a concept of machine learning strategies suggested. In this investigation to address the design issues in WSNs is introduced. As can be viewed within this paper, countless endeavors have induced up to now; several layout issues in wireless sensor networks have been remedied employing numerous machine learning strategies. Utilizing machine learning based algorithms in WSNs nee...

Machine learning has been one of the standard and improving techniques with strong methods for classification and reorganization based on recursive learning. Machine learning allows to train and test classification system, with Artificial Intelligence. Machine learning has provided greatest support for predicting disease with correct case of training and testing. Diabetes needs greatest support...

The report presents an investigation of the ontology learning problem. It presents an overview of ontology research field and the discussion of available machine learning techniques and learning problems that arise in ontology learning. Recently appeared Web-based and Business-to-Business ontologies forced new learning problems to appear that are also presented in the report. Introduction The i...

Can statistical machine learning theories and algorithms help explain human learning? Broadly speaking, machine learning studies the fundamental laws that govern all learning processes, including both artificial systems (e.g., computers) and natural systems (e.g., humans). It has long been understood that theories and algorithms from machine learning are relevant to understanding aspects of hum...

End-user interactive machine learning is a promising tool for enhancing human productivity and capabilities with large unstructured data sets. Recent work has shown that we can create end-user interactive machine learning systems for specific applications. However, we still lack a generalized understanding of how to design effective end-user interaction with interactive machine learning systems...

We present the British Association for Sexual Health and HIV (BASHH) Special Interest Group for Sexual Dysfunction recommendations for the management of vaginismus. The recommendations outline the history, prevalence, aetiological factors, patient assessment and management for this sexual problem. Treatment strategies are discussed along with general recommendations and auditable outcomes.

Recent improvements in web standards and technologies enable the attackers to hide and obfuscate infectious codes with new methods and thus escaping the security filters. In this paper, we study the application of machine learning techniques in detecting malicious web pages. In order to detect malicious web pages, we propose and analyze a novel set of features including HTML, JavaScript (jQuery...