Using $4.5$ fb$^{-1}$ of $e^+e^-$ collision data collected with the BESIII detector at center-of-mass energies from 4.600 to 4.699 GeV, we report a measurement of the singly Cabibbo-suppressed decay $Λ_c^+ \to pη'$ with the single-tag method. To ef...
im deeply considering using pins, im going to a concert that doubles as a prom event (emo prom) and i really need my whole outfit in place. im not wearing anything that covers the laces like jeans so ...
Jul 22, 2025 · As the climate crisis deepens, climate proofing infrastructure is essential, not just for resilience, but also to ensure fairness for future generations.
This talk gives a review on how complex geometry and a Lagrangian formulation of 2-d conformal field theory are deeply related. In particular, how the use of the Beltrami parametrization of complex structures on a compact Riemann surface fits perfe...
Traditional Chinese Medicine (TCM) has accumulated a big amount of precious resource in the long history of development. TCM prescriptions that consist of TCM herbs are an important form of TCM treatment, which are similar to natural language documen...
Herb classification presents a critical challenge in botanical research, particularly in regions with rich biodiversity such as Nepal. This study introduces a novel deep learning approach for classifying 60 different herb species using Convolutional...
? CNN for Watermark Removal using Deep Image Prior with Pytorch ?. (⭐ 1135)
Deep learning technologies have demonstrated their effectiveness in removing cloud cover from optical remote-sensing images. Convolutional Neural Networks (CNNs) exert dominance in the cloud removal tasks. However, constrained by the inherent limitat...
Fully convolutional deep neural network to remove transparent overlays from images (⭐ 1271)
Oct 5, 2018 · Are nuru body slides illegal in the United states? I have a bad back and offen try deep tissue massages but they rarely work. A friend told me to try a nuru body rub as it could help. I …
Sarcasm is a pervading linguistic phenomenon and highly challenging to explain due to its subjectivity, lack of context and deeply-felt opinion. In the multimodal setup, sarcasm is conveyed through the incongruity between the text and visual entities...
Background: Dental caries diagnosis requires the manual inspection of diagnostic bitewing images of the patient, followed by a visual inspection and probing of the identified dental pieces with potential lesions. Yet the use of artificial intelligenc...
Due to the rapid development of deep learning, we can now successfully separate singing voice from mono audio music. However, this separation can only extract human voices from other musical instruments, which is undesirable for karaoke content gener...
Minecraft for Windows Explore randomly generated worlds and build amazing things from the simplest of homes to the grandest of castles. Play in creative mode with unlimited resources or mine deep into â¦
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral (⭐ 3458)
Jul 28, 2025 · Memory is not a static archive; it is life itself, constantly rewritten, endlessly resilient, deeply human. From the firing of neurons to the telling of family stories, from the fragility of aging …
"Lakes Michigan and Huron are considered to be one lake hydraulically because of their connection through the deep Straits of Mackinac." Great Lakes Environmental
Inspired by a human speech chain mechanism, a machine speech chain framework based on deep learning was recently proposed for the semi-supervised development of automatic speech recognition (ASR) and text-to-speech synthesis TTS) systems. However, th...
Deep learning-based machine listening is broadening the scope of industrial acoustic analysis for applications like anomaly detection and predictive maintenance, thereby improving manufacturing efficiency and reliability. Nevertheless, its reliance o...
Graph neural networks have become one of the most important techniques to solve machine learning problems on graph-structured data. Recent work on vertex classification proposed deep and distributed learning models to achieve high performance and sca...