Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...
In the development of modern animal husbandry, the feed industry serves as a crucial material foundation, and extrusion puffing technology has become ...
Abstract: Acoustic emission (AE) detection is a nonintrusive technique for monitoring transformer conditions by capturing emissions from partial discharges (PDs), hotspots, and noise. Machine learning ...
If you are also thinking of building a career in AI by taking an online course from home, then IIT Kharagpur is giving you a ...
Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...
The course begins in January 2026, and students interested in learning about image recognition, speech recognition, and ...
Abstract: Existing approaches for underwater autonomous target recognition (UATR) often suffer from limited accuracy and robustness due to complex underwater environments, noise interference during ...
In our increasingly electrified world, supercapacitors have emerged as critical components in transportation and renewable energy systems, prized for their remarkable power density, cycling stability, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback