Search Keywords

Results Restricted To:

https://www.temple.edu

Total Results: 70

AGI Introduction - Temple University

https://cis.temple.edu/~pwang/AGI-Intro.html

Artificial General Intelligence — A gentle introduction Pei Wang [On-line document since 2007, last updated in August 2025] [中文] [Español] [This page contains information about the field of Artificial General Intelligence (AGI), collected and organized according to my judgment, though efforts are made to avoid personal biases.]

Forward Legal Anonymous Group Pairing-Onion Routing for Mobile ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/IEEE%20TMC-2025%EF%BC%88Forward_Legal_Anonymous_Group_Pairing-Onion_Routing_for_Mobile_Opportunistic_Networks%EF%BC%89.pdf

a group can potentially act as a relay. To ensure message authenticity, we employ the efficient SM2 signing algorithm to generate signatures for the message source. Furthermore, by incorporating parameters such as the public key validity period and master key validity period into the group pairing-onion routing protocol, we achieve forward security in message delivery. We conduct a thorough ...

Building Classification Models: ID3 and C4.5 - Temple University

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.

EVIDENCE, ADVOCACY, AND CARROLL V. TRUMP

https://law.temple.edu/aer/2023/05/15/evidence-advocacy-and-carroll-v-trump/

A jury of nine spoke with one voice. Donald Trump sexually assaulted a woman, brazenly, in a high-end department store, lied about it, and maliciously defamed his victim. To put it mildly, Mr. Trump was likely not the easiest client to represent, and his cause not the easiest to defend. But the case warrants a

Bloom's Taxonomy Blooms Digitally | Tech Learning

https://teaching.temple.edu/sites/teaching/files/resource/pdf/1%20Bloom%27s%20Taxonomy%20Blooms%20Digitally%20_%20Tech%20Learning.pdf

Bloom's Revised Taxonomy In the 1990's, a former student of Bloom, Lorin Anderson, revised Bloom's Taxonomy and published this-Bloom's Revised Taxonomy in 2001.Key to this is the use of verbs rather than nouns for each of the categories and a rearrangement of the sequence within the taxonomy. They are arranged below in increasing order, from low to high.

Intro to Ethical Hacking - Temple University

https://community.mis.temple.edu/mis5211sec001f14/files/2014/08/Intro-to-Ethical-Hacking2.pptx

The tools and techniques discussed and used in this course should only be used on systems you personally own, or have written permission to use.

Introduction to Cryptography - Temple University

https://cis.temple.edu/~qzeng/cis4360-spring17/papers/Introduction%20to%20Cryptography.pdf

Introduction The origin of the word cryptology lies in ancient Greek. The word cryptology is made up of two components: "kryptos", which means hidden and "logos" which means word. Cryptology is as old as writing itself, and has been used for thousands of years to safeguard military and diplomatic communications. For example, the famous Roman emperor Julius Caesar used a cipher to protect the ...

Article 4_Posey_Final_133-170

https://sites.temple.edu/ticlj/files/2025/05/Posey-The-Aftermath-of-the-Artemis-Accords-Power-Dynamics-Past-and-Present-in-International-Space-Law.pdf

Carolyn Posey* The rapid evolution of space exploration, marked by private space tourism, lunar colonization plans, and potential asteroid mining, necessitates a critical examination of international space law. This Comment applies the Third World Approaches to International Law framework to analyze power dynamics in space governance, focusing on the Outer Space Treaty of 1967 and the 2020 ...

NARS Introduction - Temple University

https://cis.temple.edu/~pwang/NARS-Intro.html

NARS (Non-Axiomatic Reasoning System) is a project aimed at the building of a general-purpose intelligent system, i.e., a "thinking machine" (also known as " AGI "), that follows the same principles as the human mind, and can solve problems in various domains.

Prediction of Dental Caries in Pediatric Patients Using Machine ...

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