Results 91 to 100 of about 4,469,643 (384)

Genetic Algorithm-Based Motion Estimation Method using Orientations and EMGs for Robot Controls

Sensors, 2018
Demand for interactive wearable devices is rapidly increasing with the development of smart devices. To accurately utilize wearable devices for remote robot controls, limited data should be analyzed and utilized efficiently. For example, the motions by a
Jeongsook Chae, Yong Jin, Yunsick Sung, Kyungeun Cho   +3 more
doaj   +1 more source

Unsupervised Learning of Depth and Ego-Motion from Video [PDF]

Computer Vision and Pattern Recognition, 2017
We present an unsupervised learning framework for the task of monocular depth and camera motion estimation from unstructured video sequences. In common with recent work [10, 14, 16], we use an end-to-end learning approach with view synthesis as the ...
Tinghui Zhou, Matthew A. Brown, Noah Snavely, D. Lowe   +3 more
semanticscholar   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

Molecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns, Jaclyn S. Long, Sergio Lilla, Kelly Hodge, Marcus J. G. W. Ladds, Colin Nixon, Paula Fernández‐Palanca, Sara Zanivan, Pilar Acedo, Stephen P. Pereira, Kevin M. Ryan   +10 more
wiley   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Ship Motion Parameter Estimation and Refocusing Method Based on Minimization of Position Offset in Multiview Missile-Borne SAR Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Motion compensation helps mitigate the defocusing effects observed in ship synthetic aperture radar (SAR) images caused by ship’s noncooperative motion, and its effectiveness depends on the accuracy of motion parameter estimation.
Yihang Zhi, Bing Sun, Jingwen Li, Mingqing Han, Ziyue Yang   +4 more
doaj   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source

Automatic Feature-Based Stabilization of Video with Intentional Motion through a Particle Filter [PDF]

, 2009
Video sequences acquired by a camera mounted on a hand held device or a mobile platform are affected by unwanted shakes and jitters. In this situation, the performance of video applications, such us motion segmentation and tracking, might dramatically be
Blanco Adán, Carlos Roberto del, García Santos, Narciso, Jaureguizar Núñez, Fernando, Salgado Álvarez de Sotomayor, Luis   +3 more
core   +1 more source

Learning to Extract Motion from Videos in Convolutional Neural Networks

, 2016
This paper shows how to extract dense optical flow from videos with a convolutional neural network (CNN). The proposed model constitutes a potential building block for deeper architectures to allow using motion without resorting to an external algorithm,
BKP Horn, D Fleet, D Fortun, DJ Butler, DJ Heeger, EH Adelson, F Solari, GW Taylor, KG Derpanis, KG Derpanis, NC Rust, T Brox, T Brox, V Ulman, YA LeCun   +14 more
core   +1 more source

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

FEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini, Nicolò Antonelli, Gianluca Molla   +2 more
wiley   +1 more source

A new efficient adaptive rood pattern search motion estimation algorithm

Научно-технический вестник информационных технологий, механики и оптики
Motion estimation plays a crucial role in video coding; the Adaptive Rood Pattern Search (ARPS) algorithm is a well known fast motion estimation algorithm.
Sh. A. Shaker, A. S. C. M. Arif, Y. Fazea   +2 more
doaj   +1 more source