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Skeptical Science New Research for Week #37 2023

Open access notables In this weeks government/NGO section we have a survey from IPSOS gauging experience of climate change in the day-to-day by persons in the US, One in four Americans say climate change will make it harder to live in their area. Many people struggle to separate their sensory perceptions from matters of metaphysics, with ideology strongly coloring their worldview. We live in a world that is quantitatively different than that our parents were born into, b...
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"MSD-NAS: multi-scale dense neural architecture search for real-time pe" by Sui Paul Ang, Son Lam Phung et al.

Accurate detection of pedestrian lanes is a crucial criterion for vision-impaired people to navigate freely and safely. The current deep learning methods have achieved reasonable accuracy at this task. However, they lack practicality for real-time pedestrian lane detection due to non-optimal accuracy, speed, and model size trade-off. Hence, an optimized deep neural network (DNN) for pedestrian lane detection is required. Designing a DNN from scratch is a laborious task that requires significant ...
Short Term Visual Memory Assistive Navigation Deep Learning Neural Architecture Search Edestrian Lane Detection Eal Time Video Processing
Source: uow.edu.au

"TrojanModel: A Practical Trojan Attack against Automatic Speech Recogn" by Wei Zong, Yang Wai Chow et al.

While deep learning techniques have achieved great success in modern digital products, researchers have shown that deep learning models are susceptible to Trojan attacks. In a Trojan attack, an adversary stealthily modifies a deep learning model such that the model will output a predefined label whenever a trigger is present in the input. In this paper, we present TrojanModel, a practical Trojan attack against Automatic Speech Recognition (ASR) systems. ASR systems aim to transcribe voice input ...
Automatic Speech Recognition Adversarial Machine Learning Automatic Speech Recognition Deep Learning
Source: uow.edu.au

"Figurative Language Detection using Deep Learning and Contextual Featu" by Md Saifullah Bin Razali

The size of data shared over the Internet today is gigantic. A big bulk of it comes from postings on social networking sites such as Twitter and Facebook. Some of it also comes from online news sites such as CNN and The Onion. This type of data is very good for data analysis since they are very personalized and specific. For years, researchers in academia and various industries have been analyzing this type of data. The purpose includes product marketing, event monitoring, and trend analysis. Th...
Convolutional Neural Network Artificial Intelligence Teaching Learning Deep Learning
Source: uow.edu.au

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