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People have more efficient conversations, use more positive language and perceive each other more positively when using an artificial intelligence-enabled chat tool, a group of Cornell researchers has...
A Cornell-led collaboration received a $3 million grant from the U.S. Department of Energy to use machine learning to accelerate the creation of low-cost materials for solar energy.
New research funded by the National Science Foundation finds that online intervention taking less than 30 minutes significantly increases interest in computer science for both male and female undergra...
Compressive Sensing is a technique that can help reduce the sampling rate of sensing tasks. In mobile crowdsensing applications or wireless sensor networks, the resource burden of collecting samples i...
As it is widely known documentation is an important issue within the tasks of conservation, preservation and restoration of Cultural Heritage objects. In this context high-tech measuring methods which...
The time varying Kalman Filter implementation of this algorithm is exercised on simulated and real data collected from an inexpensive triad of accelerometers and magnetometers.
Thermal management has emerged as an important design issue in a range of designs from portable devices to server systems. Internal thermal sensors are an integral part of such a management system. Pr...
Energy consumption and speed of execution have long been recognized as conflicting requirements for processor design. In this work, we have developed a low-cost dynamic architecture adaptation scheme ...
This document address the feasibility of low-cost, dual-polarized, X-band phased array antennas for use in dense radar networks for weather surveillance. The "phase-tilt" architecture under investigat...
This paper reviews the growth of approaches in product costing and draws synergies with information management and resource planning systems, to investigate potential application of state of the art m...
In this paper, we present two bounded cost algorithms that solve multivalued consensus using binary consensus instances. Our first algorithm uses log2 n number of binary consensus instances where n ...
Software reliability is one of the most important characteristics of software quality. Its measurement and management technologies employed during the software life-cycle are essential for producing a...
This paper proposed a linear rate-distortion (RD) cost model for skip mode in H.264. The proposed RD cost model is derived theoretically based on the quantization scheme of H.264, and the simulation r...
In order to efficiently support a large number of on-line analytical processing (OLAP)queries, a data warehouse needs to precompute or materialise some of such OLAP queries. One of the important issue...

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