Kalman Filter (KF) that is also known as linear quadratic estimation filter estimates current
states of a system through time as recursive using input measurements in mathematical …

Sign language is an essential tool to bridge the communication gap between normal and
hearing-impaired people. However, the diversity of over 7000 present-day sign languages …

Large datasets are the cornerstone of recent advances in computer vision using deep
learning. In contrast, existing human motion capture (mocap) datasets are small and the …

Named Entity Recognition (NER) is a key component in NLP systems for question
answering, information retrieval, relation extraction, etc. NER systems have been studied …

The Millennium Drought (southeastern Australia) provided a natural experiment to challenge
the assumption that watershed streamflow always recovers from drought. Seven years after …

Although decision‐making algorithms are not new to medicine, the availability of vast stores
of medical data, gains in computing power, and breakthroughs in machine learning are …

Deep learning (DL) based semantic communication methods have been explored for the
efficient transmission of images, text, and speech in recent years. In contrast to traditional …

Traffic forecasting is an important research area in Intelligent Transportation Systems that is
focused on anticipating traffic in order to mitigate congestion. In this work we propose a deep …

Today's networks are filled with a massive and ever-growing variety of network functions that
coupled with proprietary devices, which leads to network ossification and difficulty in network …

We present a simple few-shot named entity recognition (NER) system based on nearest
neighbor learning and structured inference. Our system uses a supervised NER model …