https://diversity.temple.edu/sites/diversity/files/MKA%20CV%202019%20update.pdf
Molefi Kete Asante, Malcolm X as Cultural Hero and Other Afrocentric Essays, Trenton: Africa World Press, 1995. Molefi Kete Asante, Classical Africa (part of the Asante Imprint series of high school textbooks), Maywood, N.J.: Peoples Publishing Group, Inc., 1993. Molefi Kete Asante and Dhyana Ziegler, Thunder and Silence: The Mass Media in Africa, Trenton: Africa World Press, 1991. Molefi Kete ...
https://cis.temple.edu/~latecki/Courses/CIS2166-Fall16/Lectures/MatrixAlg1.pdf
A matrix is a rectangular array of numbers or other mathematical objects, for which operations such as addition and multiplication are defined. Most of this article focuses on real matrices, i.e., matrices whose elements are real numbers. For instance, this is a real matrix: The numbers, symbols or expressions in the matrix are called its entries or its elements. The horizontal and vertical ...
https://studentsuccess.temple.edu/sites/studentsuccess/files/HANDOUT_Science%20Writing%20and%20IMRaD_The%20Basics.pdf
Think of IMRaD as a written/narrative representation of the scientific method (Scientific reports, 2021). Take a look at the scientific method (right) alongside the hourglass structure of the IMRaD draft (left) below. Check out the similarities! Use the more familiar parts of the scientific method to ground your understanding of that IMRaD structure.
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://cis.temple.edu/~latecki/Courses/RobotFall08/BishopBook/Pages_from_PatternRecognitionAndMachineLearning-2.pdf
Probabilities play a central role in modern pattern recognition. We have seen in Chapter 1 that probability theory can be expressed in terms of two simple equations corresponding to the sum rule and the product rule. All of the probabilistic infer-ence and learning manipulations discussed in this book, no matter how complex, amount to repeated application of these two equations. We could ...