Zobrazeno 1 - 10
of 11 986
pro vyhledávání: '"Sapkota, A"'
Autor:
Pokharel, Atit, Sapkota, Pratik, Sapkota, Dilip, Dahal, Shashank, Karki, Sulav, Budhathoki, Ram Kaji
LoRa technology has garnered significant interest in the Information and Communications Technology (ICT) field in recent years due to its ability to operate at low power while maintaining effective communication. Despite gaining attention, LoRa techn
Externí odkaz:
http://arxiv.org/abs/2412.04563
Autor:
Schmidt, Juan, Sapkota, Aashish, Mueller, Carsyn L., Xiao, Shuyang, Huyan, Shuyuan, Slade, Tyler J., Lee, Seok-Wook, Bud'ko, Sergey L., Canfield, Paul C.
SrNi$_2$P$_2$ is unique among the ThCr$_2$Si$_2$ class since it exhibits a temperature induced transition upon cooling from an uncollapsed tetragonal (ucT) state to a one-third-collapsed orthorhombic (tcO) state where one out of every three P-rows bo
Externí odkaz:
http://arxiv.org/abs/2412.09736
Autor:
Sapkota, Ranjan, Karkee, Manoj
In this study, we developed a customized instance segmentation model by integrating the Convolutional Block Attention Module (CBAM) with the YOLO11 architecture. This model, trained on a mixed dataset of dormant and canopy season apple orchard images
Externí odkaz:
http://arxiv.org/abs/2412.05728
The rapid advancements in Artificial Intelligence, specifically Machine Learning (ML) and Deep Learning (DL), have opened new prospects in medical sciences for improved diagnosis, prognosis, and treatment of severe health conditions. This paper focus
Externí odkaz:
http://arxiv.org/abs/2412.05583
Currently, deep learning-based instance segmentation for various applications (e.g., Agriculture) is predominantly performed using a labor-intensive process involving extensive field data collection using sophisticated sensors, followed by careful ma
Externí odkaz:
http://arxiv.org/abs/2411.11285
Autor:
Huyan, S., Schmidt, J., Valadkhani, A., Wang, H., Li, Z., Sapkota, A., Petri, J. L., Slade, T. J., Ribeiro, R. A., Bi, W., Xie, W., Mazin, I. I., Valenti, R., Bud'ko, S. L., Canfield, P. C.
We present high pressure electrical transport, magnetization, and single crystal X-ray diffraction data on SrCo2P2 single crystals. X-ray diffraction data show that there is a transition to a collapsed tetragonal structure for p ~> 10 GPa and measure
Externí odkaz:
http://arxiv.org/abs/2411.05981
Autor:
Sapkota, Ranjan, Karkee, Manoj
This study conducted a comprehensive performance evaluation on YOLO11 and YOLOv8, the latest in the "You Only Look Once" (YOLO) series, focusing on their instance segmentation capabilities for immature green apples in orchard environments. YOLO11n-se
Externí odkaz:
http://arxiv.org/abs/2410.19869
Autor:
Sapkota, Ranjan, Karkee, Manoj
In this study, a robust method for 3D pose estimation of immature green apples (fruitlets) in commercial orchards was developed, utilizing the YOLO11 object detection and pose estimation algorithm alongside Vision Transformers (ViT) for depth estimat
Externí odkaz:
http://arxiv.org/abs/2410.19846
Autor:
Sapkota, Suman
Artificial Neural Networks of varying architectures are generally paired with affine transformation at the core. However, we find dot product neurons with global influence less interpretable as compared to local influence of euclidean distance (as us
Externí odkaz:
http://arxiv.org/abs/2410.16159
Autor:
Sapkota, Nishchal, Zhang, Yejia, Zhao, Zihao, Gomez, Maria, Hsi, Yuhan, Wilson, Jordan A., Kawasaki, Kazuhiko, Holmes, Greg, Wu, Meng, Jabs, Ethylin Wang, Richtsmeier, Joan T., Perrine, Susan M. Motch, Chen, Danny Z.
Osteochondrodysplasia, affecting 2-3% of newborns globally, is a group of bone and cartilage disorders that often result in head malformations, contributing to childhood morbidity and reduced quality of life. Current research on this disease using mo
Externí odkaz:
http://arxiv.org/abs/2410.13043