Abstract Robotic in-space assembly of large space structures is a long-term NASA goal to reduce launch costs and enable larger-scale missions. Recently, researchers have proposed using discrete lattice building blocks […]
Robotic Specialization in Autonomous Robotic Structural Assembly Read More »
Abstract Business intelligence and analytics (BI&A) has emerged as an important area of study for both practitioners and researchers, reflecting the magnitude and impact of data-related problems to be solved
BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT Read More »
Abstract We examine the problem of clustering bio-molecular simulations using deep learning techniques. Since bio-molecular simulation datasets are inherently high dimensional, it is often necessary to build low dimensional representations
Deep clustering of protein folding simulations Read More »
Abstract Big Data has revolutionized decision making in many fields, including education. The incorporation of information and communication technologies into education enables us to gather information about the teaching and
Abstract In this paper, we propose an AI-FML agent for robotic game of Go and AIoT real-world co-learning applications. The fuzzy machine learning mechanisms are adopted in the proposed model,
AI-FML Agent for Robotic Game of Go and AIoT Real-World Co-Learning Applications Read More »
Abstract In this paper, we present a stochastic computing-based AI system for mobile devices. As technology in AI advances, more complex computations are required. In the case of mobile devices,
Stochastic Computing based AI System for Mobile Devices Read More »
Abstract Many organizations process big data for important business operations and decisions. Hence, data quality greatly affects their success. Data quality problems continue to be widespread, costing US businesses an
Data Sentinel: A Declarative Production-Scale Data Validation Platform Read More »
Abstract Machine learning is known as the scientific study of various algorithms and statistics as well as models that can be used to create or perform certain tasks. These tasks
Abstract The amount of data transferred over dedicated and non-dedicated network links has been increasing much faster than the increase in the network capacity. On the other hand, the current
A Two-Phase Dynamic Throughput Optimization Model for Big Data Transfers Read More »
Abstract Currently, data analysis from social networks is referred to as big data analysis (BigData). The analysis of big data is difficult primarily due to the fact that all the
Algorithms for Automated Sentiment Analysis of Posts in Social Networks Read More »
