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Energy aware scheduling using reinforcement learning for 802.15.4e Time-Slotted Channel Hopping
(2023-11-01)
Time Slotted Channel Hopping (TSCH) is a medium access control mode defined in IEEE 802.15.4e standard. This protocol is a crucial component of fourth-generation IoT applications, enabling efficient communication through ...
Breaking the silence: an intersectional approach to sexual violence and harm narratives of women living in Lebanon
(2023-10-01)
Lebanon has experienced war and conflict for the last four decades, yet there is an absence of literature on Lebanese women’s lived experience of the Lebanese Civil War (LCW) (April 1975 – October 1989), and the ongoing ...
Sidewalk extraction using deep learning and cost-based route optimization with mini-max objective function
(2023-12-01)
With the growing diversification of modern urban transportation options, such as small-scale autonomous delivery vehicles, autonomous patrol robots, e-bikes, and e-scooters, sidewalks have gained newfound importance as ...
A proof of principle nuclear forensics technique for determining ²³⁵U enrichment from UF₆ steel cylinders
(2023-12-01)
Non-proliferation of nuclear materials depends on international regulations and the inspection tools available to safeguard inspectors for ensuring adherence to international treaties such as the Non-Proliferation Treaty ...
Preferential proximal policy optimization in reinforcement learning
(2023-12-01)
The Proximal Policy Optimization (PPO), a policy gradient method, excels in reinforcement learning with its ”surrogate” objective function and stochastic gradient ascent. However, PPO does not fully consider the significance ...
Formerly incarcerated women’s online accounts of pathways to criminality and incarceration: a contribution to feminist pathways theory
(2023-11-01)
Some feminist scholars argue that pathways research is not truly representative of girls’ and women’s pathways to crime. This paper uses the gendered pathways theory that recognizes and highlights some of the unique factors ...
Discovery of trend dependencies over time-series
(2023-11-01)
We improve constraint-based data quality using trend dependency (TD) discovery, extending existing order dependencies (ODs) to allow variations and exceptions. Unlike ODs, TDs capture approximate functional mappings between ...
Novel electrode materials and advanced electrochemical diagnostics for electrochromic devices
(2022-04-01)
Electrochromic materials (ECMs) are a class of “smart” materials used in a variety of applications due to the ability to alter their optical properties with the application of a potential. For these applications, ECMs are ...
Generative models for multi-modality image inpainting and resolution enhancement
(2022-04-01)
Recently, deep learning methods specifically generative adversarial networks (GANs) have been used to rapidly improve a wide range of image enhancement tasks including image inpainting and image resolution enhancement also ...
Interfaces for alternatives, difference visualizations and collaborative authoring of behavior trees
(2020-12-01)
A visual behavior authoring framework for exploring and comparing multiple game AI behavior alternatives is presented. A mixed method study revealed participants rated it higher compared to the control framework. Mostly ...