https://sites.temple.edu/borguet/files/2025/01/Borguet_Klein_Ruiyu_pKa_acs.jpclett.9b02913_2020.pdf
ABSTRACT: Acid/base chemistry is an intriguing topic that still constitutes a challenge for computational chemistry. While estimating the acid dissociation constant (or pKa) could shed light on many chemistry processes, especially in the fields of biochemistry and geochemistry, evaluating the relative stability between protonated and nonprotonated species is often very di ffi cult. Indeed, a ...
https://cis.temple.edu/~latecki/Courses/AI-Fall12/Lectures/GreatMatrixIntro.pdf
and their associatedeigenvectorsof a matrix describe the geometry of the trans- formation associated with that matrix. Using the multivariate normal, we then develop the multivariate breeders’ equation and examine properties of Gaussian fitness functions. We conclude with some elementary concepts in vector calcu- lus, focusing on derivatives of vectors and finding local extrema of vector ...
https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf
Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...
https://boyer.temple.edu/directory/alison-m-reynolds
Biography PhD, music education, Temple University MM, music education, Temple University BME, Texas Christian University Dr. Alison Reynolds focuses her research and teaching interests on expressive and creative music development, early childhood and general music teacher preparation, and developing curriculum materials for children 12 years old and younger. Reynolds has been published in ...
https://cis.temple.edu/~wu/research/publications/Publication_files/ICDE2024_Xu.pdf
Abstract—In this paper, we investigate the competitive content placement problem in Mobile Edge Caching (MEC) systems, where Edge Data Providers (EDPs) cache appropriate contents and trade them with requesters at a suitable price. Most of the existing works ignore the complicated strategic and economic interplay between content caching, pricing, and content sharing. Therefore, we propose a ...
https://scholarshare.temple.edu/bitstreams/1c1f1a6d-0f34-4234-8b39-41d9eeb397f0/download
of machine learning (ML) versus a traditional statistical model in predicting dental caries in
https://sites.temple.edu/newcombe/files/2013/06/Newcombe_et_al-2015-Wiley_Interdisciplinary_Reviews-_Cognitive_Science.pdf
There are many continuous quantitative dimensions in the physical world. Philo-sophical, psychological, and neural work has focused mostly on space and num-ber. However, there are other important continuous dimensions (e.g., time and mass). Moreover, space can be broken down into more specific dimensions (e.g., length, area, and density) and number can be conceptualized discretely or con ...
https://www.fox.temple.edu/sites/fox/files/documents/Cummins%20Conference%202022/XiangHuBao-main-2022-03-23.pdf
The significant progress in information technologies promotes new venues in risk sharing and risk management practices (OECD, 2017). Just as peer-to-peer (P2P) lending platforms connected un-or under-financed borrowers to lenders, emerging fintech platforms can also be leveraged to reach traditionally un-insured or under-insured customers.2 This is exemplified by Xiang Hu Bao (XHB, meaning ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/jiang_www_2020.pdf
ABSTRACT Serendipity recommendation has attracted more and more atten-tion in recent years; it is committed to providing recommendations which could not only cater to users’ demands but also broaden their horizons. However, existing approaches usually measure user-item relevance with a scalar instead of a vector, ignoring user preference direction, which increases the risk of unrelated ...
https://www.fox.temple.edu/sites/fox/files/documents/CVs/xueming-luo-cv.pdf
Bio: Xueming Luo is the Charles Gilliland Distinguished Chair Professor of Marketing, Professor of Strategy, and Professor of MIS, and Founder/ Director of the Global Institute for Artificial Intelligence & Business Analytics in the Fox School of Business at Temple University. He is an interdisciplinary thought-leader in leveraging AI/ML algorithms, text/audio/image/video big data ...