Florida Atlantic University

About: Florida Atlantic University is a education organization based out in Boca Raton, Florida, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 7788 authors who have published 19830 publications receiving 535694 citations. The organization is also known as: FAU & Florida Atlantic.

The handbook of ad hoc wireless networks

Abstract: INTRODUCTION Body, Personal, and Local Ad Hoc Wireless Networks, Marco Conti Multicasting Techniques in Mobile Ad Hoc Networks, Xiao Chen and Jie Wu Quality of Service in Mobile Ad Hoc Networks, Satyabrata Chakrabarti, and Amitabh Mishra Power-Conservative Designs in Ad Hoc Wireless Networks, Yu-Chee Tseng and Ting-Yu Lin Performance Analysis of Wireless Ad Hoc Networks, Anurag Kumar and Aditya Karnik WIRELESS TRANSMISSION TECHNIQUES Coding for the Wireless Channel, Ezio Biglieri Unicast Routing Techniques for Mobile Ad Hoc Networks, Roberto Beraldi and Roberto Baldoni Satellite Communications, Matthew Sadiku WIRELESS COMMUNICATION SYSTEMS AND PROTOCOLS Wireless Communication Protocols, Pascal Lorenz An Integrated Platform for Ad Hoc GSM Cellular Communications, George N. Aggelou IEEE 802.11 and Bluetooth: An Architectural Overview, Sal Yazbeck ROUTING TECHNIQUES IN AD HOC WIRELESS NETWORKS - PART I Position-Based Routing in Ad Hoc Wireless Networks, Jorg Widmer, Martin Mauve, Hannes Hartenstein, and Holger Fubler Structured Proactive and Reactive Routing for Wireless Mobile Ad Hoc Networks, Ahmed Safwat, Hossam Hassanein, and Hussein Mouftah Hybrid Routing: The Pursuit of an Adaptable and Scalable Routing Framework for Ad Hoc Networks, Prince Samar, Marc R. Pearlman, and Zygmunt Haas ROUTING TECHNIQUES IN AD HOC WIRELESS NETWORKS - PART II Adaptive Routing in Ad Hoc Networks, Yantai Shu, Oliver Yang, and Lei Wang Position Based Ad Hoc Routes in Ad Hoc Networks, Silvia Giordano and Ivan Stojmenovic Route Discovery Optimization Techniques in Ad Hoc Wireless Networks, Boon-Chong Seet, Bu-Sung Lee, and Chiew-Tong Lau APPLICATIONS OF AD HOC WIRELESS NETWORKS Location-Aware Routing and Applications in Mobile Ad Hoc Wireless Networks, Yu-Chee Tseng and Chih-Sun Hsu Mobility Over TCP/IP, Jose Ferreira de Rezende, Michele Lima, and Nelson Fonseca An Intelligent On-Demand Multicast Routing Protocol in Ad Hoc Networks, Kuochen Wang and Chaou-Tang Chang GPS-based Reliable Routing Algorithms in Ad Hoc Networks, Young-Joo Suh, Won-Ik Kim, and Dong-Hee Kwon POWER MANAGEMENT IN AD HOC WIRELESS NETWORKS Power-Aware Wireless Mobile Ad Hoc Networks, Ahmed Safwat, Hossam Hassanein, and Hussein Mouftah Energy Efficient Multicast in Ad Hoc Networks, Hee Yong Youn, Chansu Yu, Ben Lee, and Sangman Moh Energy-Conserving Grid Routing Protocol in Mobile Ad Hoc Networks, Jang-Ping Sheu, Cheng-Ta Hu, and Chi-Min Chao Routing Algorithms for Balanced Energy Consumption in Ad Hoc Networks, Hee Yong Youn, Chansu Yu, and Ben Lee CONNECTION AND TRAFFIC MANAGEMENT IN AD HOC WIRELESS NETWORKS An Efficient Resource Discovery Algorithm for Wireless Ad Hoc Networks, Jiangchuan Liu, Kazem Sohraby, Qian Zhang, and Bo Li An Integrated Platform for Quality-of-Service Support in Mobile Multimedia Clustered Ad Hoc Networks, George N. Aggelou Quality of Service Models for Ad Hoc Wireless Networks, Xiao Hannan, Chua Kee Chaing, and Seah Winston Scheduling of Broadcasts in Multihop Wireless Networks, Jang-Ping Sheu, Pei-Kai Hung, and Chih-Shun Hsu SECURITY AND PRIVACY ASPECTS IN AD HOC WIRELESS NETWORKS Security in Wireless Ad Hoc Networks - A Survey, Amitabh Mishra and Ketan M. Nadkarni Securing Mobile Ad Hoc Networks, Panagiotis Papadimitratos and Zygmunt Haas Security Issues in Ad Hoc Networks, Dan Zhou

An Empirical Study of Learning from Imbalanced Data Using Random Forest

Abstract: This paper discusses a comprehensive suite of experiments that analyze the performance of the random forest (RF) learner implemented in Weka. RF is a relatively new learner, and to the best of our knowledge, only preliminary experimentation on the construction of random forest classifiers in the context of imbalanced data has been reported in previous work. Therefore, the contribution of this study is to provide an extensive empirical evaluation of RF learners built from imbalanced data. What should be the recommended default number of trees in the ensemble? What should the recommended value be for the number of attributes? How does the RF learner perform on imbalanced data when compared with other commonly-used learners? We address these and other related issues in this work.

A history of schools of marketing thought

Abstract: Marketing has been practiced since ancient times and has been thought about almost as long. Yet, it is only during the 20th century that marketing ideas evolved into an academic discipline in its own right. Most concepts, issues and problems of marketing thought have coalesced into one of several schools or approaches to understanding marketing. In this article we trace the evolution of 10 schools of marketing thought. At the turn of the 20th century, early in the discipline’s history, the study of functions, commodities, and institutions emerged as complementary modes of thinking about subject matter and became known collectively as the ‘traditional approaches’ to studying marketing; shortly thereafter the interregional trade approach emerged. About mid-century, there was a ‘paradigm shift’ in marketing thought eclipsing the traditional approaches as a number of newer schools developed: marketing management, marketing systems, consumer behavior, macromarketing, exchange, and marketing history. During the...

Upper Limits on the Stochastic Gravitational-Wave Background from Advanced LIGO's First Observing Run

Abstract: A wide variety of astrophysical and cosmological sources are expected to contribute to a stochastic gravitational-wave background. Following the observations of GW150914 and GW151226, the rate and mass of coalescing binary black holes appear to be greater than many previous expectations. As a result, the stochastic background from unresolved compact binary coalescences is expected to be particularly loud. We perform a search for the isotropic stochastic gravitational-wave background using data from Advanced Laser Interferometer Gravitational Wave Observatory’s (aLIGO) first observing run. The data display no evidence of a stochastic gravitational-wave signal. We constrain the dimensionless energy density of gravitational waves to be Ω 0 < 1.7 × 10 − 7 with 95% confidence, assuming a flat energy density spectrum in the most sensitive part of the LIGO band (20–86 Hz). This is a factor of ∼ 33 times more sensitive than previous measurements. We also constrain arbitrary power-law spectra. Finally, we investigate the implications of this search for the background of binary black holes using an astrophysical model for the background.