https://cis.temple.edu/~qzeng/cis3207-spring18/slides/17-multilevel-page-table-TLB.pdf
Multi-level Page Table and TLB Professor Qiang Zeng Spring 2018
https://cis.temple.edu/~tug29203/18spring-3329/reading/hw4a.pdf
c. Suppose that different VC numbers are permitted in each link along a VC’s path. During connection setup, after an end-to-end path is determined, describe how the links can choose their VC numbers and configure their for-warding tables in a decentralized manner, without reliance on a central node. P3. A bare-bones forwarding table in a VC network has four columns. What is the meaning of ...
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/~ingargio/cis587/readings/id3-c45.html
Introduction ID3 and C4.5 are algorithms introduced by Quinlan for inducing Classification Models, also called Decision Trees, from data.
https://community.mis.temple.edu/mis5208sp18/files/2018/04/MIS-5208-LE11-Data-Acquistion.pdf
Raw Format Makes it possible to write bit-stream data to files
https://cis.temple.edu/~jiewu/research/publications/Publication_files/m37113-chen%20final.pdf
Abstract—Recent years have witnessed the unprecedented performance of convolutional networks in image super-resolution (SR). SR involves upscaling a single low-resolution image to meet application-specific image quality demands, making it vital for mobile devices. However, the excessive computational and memory requirements of SR tasks pose a challenge in mapping SR networks on a single ...
https://sites.temple.edu/assessment/
In my conversation last week with Karen Kohn, we discussed the necessity of humans interacting with data to achieve the best analytical results. We were exploring statistics from EBSCO on the use of our e-books to understand the top subject areas within this platform. I shared with Karen the ChatCPT-generated analysis of usage trends and she described her alternative tool of choice – the ...
https://cis.temple.edu/~latecki/Courses/AI-Fall12/Lectures/RandomFields_Sarah.pdf
Stochastic processes as Dynamic Bayesian Networks Dynamic Bayesian Network is a probabilistic graphical model that represents a sequence of random variables and their conditional dependencies.
https://cis.temple.edu/~tug29203/24spring-4319/lectures/ch1b-1.pdf
free (available) buffers: arriving packets dropped (loss) if no free buffers
https://cis.temple.edu/~latecki/Courses/AI-Fall10/Lectures/SVDEig08.ppt
Given a matrix, A, x is the eigenvector and is the corresponding eigenvalue if Ax = x A must be square and the determinant of A - I must be equal to zero Ax - x = 0 ! (A - I) x = 0 Trivial solution is if x = 0 The non trivial solution occurs when det(A - I) = 0 Are eigenvectors are unique?