Vibration Analysis in Turbomachines Using Machine Learning Techniques

Financial Sentiment Analysis Using Machine Learning Techniques

The rise of web content has presented a great opportunity to extract indicators of investor moods directly from news and social media. Gauging this sentiment or general prevailing attitude of investors may simplify the analysis of large, unstructured textual datasets and help anticipate price developments in the market. There are several challenges in developing a scalable and effective framewo...

using game theory techniques in self-organizing maps training

شبکه خود سازمانده پرکاربردترین شبکه عصبی برای انجام خوشه بندی و کوانتیزه نمودن برداری است. از زمان معرفی این شبکه تاکنون، از این روش در مسائل مختلف در حوزه های گوناگون استفاده و توسعه ها و بهبودهای متعددی برای آن ارائه شده است. شبکه خودسازمانده از تعدادی سلول برای تخمین تابع توزیع الگوهای ورودی در فضای چندبعدی استفاده می کند. احتمال وجود سلول مرده مشکلی اساسی در الگوریتم شبکه خودسازمانده به حسا...

Challenges in leveraging vibration-based covert channels using machine learning techniques

Smartphones are increasingly equipped with sensitive accelerometers that can analyse acoustic vibrations on a physical surface. This allows them to gain a covert understanding of the surrounding environment by combining accelerometer sampling with sophisticated signal processing techniques. In this work, we analyse keyboard-sniffing attacks based on acoustic (vibration) covert channels, launche...

Machine-Condition Monitoring using Vibration Analysis

Analysis of Microarray Gene Expression Data Using Machine Learning Techniques

The advent of DNA microarrays has facilitated a fundamental transition from gene science to genome science. By performing massively parallel experiments on thousands of genes at once, scientists have, for the first time, the capability of observing the complex relationships between genes under controlled experimental conditions. However, the immense volume of data being generated by microarray ...