Conservation planning and conflict resolution require careful monitoring and analysis of wildlife. Video traps, in combination with AI-based analytic tools, are an excellent example of noninvasive technology used successfully ...

As autonomous vehicles advance toward mainstream adoption, efficient testing methods have become paramount to expand their presence in crowded and unpredictable environments like those seen in Indian cities. Autonomous ...

The prediction of multi-agent behavior is crucial for the development of advanced human-robot interactive systems, particularly in domains like self-driving cars. Existing trajectory forecasting methods often lack the ...

Unsupervised domain adaptation (UDA) has emerged as a vital research area in the field of machine learning and computer vision. It addresses the challenge of adapting models trained on a labeled source domain to perform ...