Researchers at Arizona State University (ASU) have recently developed a new method of detecting unusual activity in traffic surveillance videos, which is based on an adaptive anomaly detection (AAD) framework. Their method, outlined in a paper pre-published on arXiv,...
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A deep learning approach to identify Twitter users’ location during emergencies
Researchers at the National Institute of Technology Patna, in India, have recently devised a tool to identify the geographical location of emergencies and disasters, as well as that of the people involved in them. Their approach, outlined in a paper in the...
A dynamic camouflaging approach to prevent intellectual property theft
In recent years, hardware-centric security threats have emerged at different stages of the integrated circuit (IC) supply chain. This has enabled the proliferation of various malicious attacks, such as intellectual property (IP) piracy, illegal overproduction of ICs,...
An evaluation of mouse dynamics for intrusion detection
Researchers at Sapientia University in Romania and Université de Lyon have recently carried out a performance evaluation of unrestricted mouse usage for impostor detection. Their findings, pre-published on arXiv, suggest that drag-and-drop mouse actions are the most...
A light-weight and accurate deep learning model for audiovisual emotion recognition
Researchers at Orange Labs and Normandie University have developed a novel deep neural model for audiovisual emotion recognition that performs well with small training sets. Their study, which was pre-published on arXiv, follows a philosophy of simplicity,...
A new approach to prepare solution-processable 2-D semiconductors
Researchers at the University of California, Los Angeles (UCLA), the University of Texas at Austin, and Hunan University (China) have recently devised a new method of preparing highly uniform, solution-processable, phase-pure semiconducting nanosheets. Their approach,...
A new strategy to correct imperfections in occupancy grid maps
Researchers at Laboratório de Computação de Alto Desempenho (LCAD) of Universidade Federal do Espírito Santo (UFES), in Brazil, have devised a novel strategy for correcting imperfections in occupancy grid maps by correcting invalid occupancy probabilities of map cells...
A new developmental reinforcement learning approach for sensorimotor space enlargement
Researchers at the University of Lorraine have recently devised a new type of transfer learning based on model-free deep reinforcement learning with continuous sensorimotor space enlargement. Their approach, presented in a paper published during the eighth Joint IEEE...
Detecting fake face images created by both humans and machines
Researchers at the State University of New York in Korea have recently explored new ways to detect both machine and human-created fake images of faces. In their paper, published in ACM Digital Library, the researchers used ensemble methods to detect images created by...
A new method to automate the synthesis of stochastic computing circuits
Researchers at the University of Washington have recently developed a new technique to automate the synthesis of stochastic computing (SC) circuits. Their method, presented in a paper pre-published on arXiv, is based on stochastic synthesis, which is traditionally a...









