Kaizhe Guo (S’13) was born in Jilin, China. He received the B.Sc. degree in physics from Jilin University, Changchun, China, in 2010, and the M.Eng. degree in electromagnetic field and microwave ...
Book Abstract: This updated printing of the leading text and reference in digital systems testing and testable design provides comprehensive, state-of-the-art coverage of the field. Included are ...
Walid Saad (Fellow, IEEE) received the Ph.D. degree from the University of Oslo in 2010. He is currently a Professor with the Department of Electrical and Computer Engineering, Virginia Tech, where he ...
Book Abstract: "FOUNDATIONS FOR MICROWAVE ENGINEERING, Second Edition, covers the major topics of microwave engineering. Its presentation defines the accepted standard for both advanced undergraduate ...
Book Abstract: Analyzes the dynamic performance of interconnected power systems. * Examines the characteristics of the various components of a power system during normal operating conditions and ...
Abstract: Satellite communication offers the prospect of service continuity over uncovered and under-covered areas, service ubiquity, and service scalability. However, several challenges must first be ...
Abstract: Historically, the frequency selective surfaces (FSS) evolved from the investigation of diffraction gratings in optics. At the operating frequency of the enclosed antenna, the FSS is fully ...
Abstract: This chapter contains sections titled: Artificial Neural Networks, Neural Network Learning Algorithms, What a Perceptron Can and Cannot Do, Connectionist Models in Cognitive Science, Neural ...
Abstract: Although the problem of determining the minimum cost path through a graph arises naturally in a number of interesting applications, there has been no underlying theory to guide the ...
Abstract: Measurements of the equivalent parallel conductance of metal-insulator-semiconductor (MIS) capacitors are shown to give more detailed and accurate information about interface states than ...
In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically ...