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://cis.temple.edu/tagit/presentations/Hopfield%20Networks%20is%20all%20you%20need.pdf
Classical Binary Hopfield Networks More complicated, patterns like (binary) images can be learned.
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-linux1.temple.edu/~jiewu/research/publications/Publication_files/ICPADS2024.pdf
Abstract—Federated Learning (FL) is an emerging privacy-preserving distributed machine learning paradigm that enables numerous clients to collaboratively train a global model without transmitting private datasets to the FL server. Unlike most existing research, this paper introduces a Data-Driven FL system in Unmanned Aerial Vehicle (UAV) networks, named DDFL, which features an innovative ...
https://cis.temple.edu/~yu/research/Icanhearyou-INFOCOM2023.pdf
Abstract—Recent literature advances motion sensors mounted on smartphones and AR/VR headsets to speech eavesdropping due to their sensitivity to subtle vibrations. The popularity of mo-tion sensors in earphones has fueled a rise in their sampling rate, which enables various enhanced features. This paper investigates a new threat of eavesdropping via motion sensors of earphones by developing ...
https://cis.temple.edu/~pwang/Publication/generic.pdf
A new logic is introduced, and applied to the generating, evaluating, using, and revising of generic sentences. This logic is designed for an adaptive system working with insufficient knowledge and resources. It is different from existing logics by using a term-oriented language, an experience-grounded semantics, and a set of syllogistic inference rules. It is argued that generic sentences ...
https://sites.temple.edu/ticlj/files/2017/02/30.1.Scharre-TICLJ.pdf
Paul Scharre* Much of the debate on autonomous weapons presumes a choice between human versus autonomous decision-making over targeting and engagement decisions. In fact, in many situations, human-machine teaming in engagement decisions will not only be possible but preferable. Hybrid human-machine cognitive architectures will be able to leverage the precision and reliability of automation ...
https://cis.temple.edu/~jiewu/
Jie Wu, Ph.D., Fellow of AAAS, and Fellow of IEEE
https://cis.temple.edu/~latecki/Papers/QiJia_Ellipse_IEEETIP_2023.pdf
Abstract—It is challenging to characterize the intrinsic geom-etry of high-degree algebraic curves with lower-degree algebraic curves. The reduction in the curve’s degree implies lower com-putation costs, which is crucial for various practical computer vision systems. In this paper, we develop a characteristic mapping (CM) to recursively degenerate 3n points on a planar curve of nth order ...
https://cis.temple.edu/~wu/research/publications/Publication_files/J-CT-2024-Balancing%20Privacy%20and%20Accuracy%20using%20Siginificant%20Gradient%20Protection%20in%20Federated%20Learning.pdf
Abstract—Previous state-of-the-art studies have demonstrated that adversaries can access sensitive user data by membership inference attacks (MIAs) in Federated Learning (FL). Intro-ducing differential privacy (DP) into the FL framework is an effective way to enhance the privacy of FL. Nevertheless, in differentially private federated learning (DP-FL), local gradients become excessively ...