Abstract: Most existing studies on table tennis training focus on either action recognition or scoring alone, lacking a systematic way to model both tasks together, which limits the ability to provide ...
Abstract: The escalating demand for accuracy and efficiency in agriculture—driven by population growth and climate change—has increased the use of mobile robots in precision agriculture. Sugarcane ...
(CNN) — President Donald Trump will address a joint session of the 119th Congress on Tuesday, after accepting House Speaker Mike Johnson’s formal invitation in January to speak. It’s an opportunity ...
Abstract: Audio feature selection and neural network architecture play crucial roles in speech recognition performance. This paper presents a comparative analysis of Artificial Neural Networks (ANNs) ...
Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment. Conventional computer-aided ...
Abstract: Human activity recognition (HAR) using millimeter-wave (mmWave) radar has gained attention as a contactless and privacy-preserving sensing method that remains effective under low lighting ...
Abstract: Emotion recognition from voice data has evolved from a niche field into an important thing in human-computer interaction. It aims to facilitate more natural interactions with machines ...
Abstract: Radar-based human activity recognition (HAR) has emerged as a critical component in various applications, ranging from smart homes to healthcare monitoring. Radar has several advantages: a ...
Abstract: Speech emotion recognition becomes a challenging issue, especially interaction between human-machine. Each person expressed their emotions in various ways and the features of speech are ...
The open-source community is celebrating a well-deserved recognition. Greg Kroah-Hartman, one of the most influential figures in the Linux ecosystem, has been awarded the European Open Source Award, ...
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