Results 251 to 260 of about 4,392,511 (325)

Expanding Chemical Space of Nucleic Acid Nanoparticles for Tunable Antiviral‐Like Immunomodulatory Responses and Potent Adjuvant Activity

Advanced Functional Materials, EarlyView.
We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj, Hannah S. Newton, Jian Wang, Laxmi Pandey, Yelixza I. Avilla, Phong Nguyen, Morgan Chandler, Justin Halman, Yasmine Radwan, Stephanie Smith, Elijah Edmondson, Simone Difilippantonio, Chelsea Sanders, Bao Tran, Yongmei Zhao, Shaojun Xie, Edward Cedrone, Barry W. Neun, Meni Wanunu, Nikolay V. Dokholyan, Marina A. Dobrovolskaia, Kirill A. Afonin   +21 more
wiley   +1 more source

A Honey Bee In-and-Out Counting Method Based on Multiple Object Tracking Algorithm. [PDF]

Insects
Lei C, Lu Y, Xing Z, Zhang J, Li S, Wu W, Liu S.   +6 more
europepmc   +1 more source

A Comprehensive Study of Object Tracking in Low-Light Environments. [PDF]

Sensors (Basel)
Yi A, Anantrasirichai N.
europepmc   +1 more source

Research on Cattle Behavior Recognition and Multi-Object Tracking Algorithm Based on YOLO-BoT. [PDF]

Animals (Basel)
Tong L, Fang J, Wang X, Zhao Y.
europepmc   +1 more source

Multi-sensor fusion and segmentation for autonomous vehicle multi-object tracking using deep Q networks. [PDF]

Sci Rep
Vinoth K, Sasikumar P.
europepmc   +1 more source

A meta-analysis of performance advantages on athletes in multiple object tracking tasks. [PDF]

Sci Rep
Liu HJ, Zhang Q, Chen S, Zhang Y, Li J.
europepmc   +1 more source

Acceleration of Image Classification and Object Tracking by the Intel Neural Compute Stick 2 with Power Efficiency Evaluation on Raspberry Pi 4B. [PDF]

Sensors (Basel)
Gao T, Suto J.
europepmc   +1 more source

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Object tracking

ACM Computing Surveys, 2006
The goal of this article is to review the state-of-the-art tracking methods, classify them into different categories, and identify new trends. Object tracking, in general, is a challenging problem. Difficulties in tracking objects can arise due to abrupt object motion, changing appearance patterns of both the object and the scene, nonrigid object ...
Alper Yilmaz
exaly   +4 more sources

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

European Conference on Computer Vision, 2021
Multi-object tracking (MOT) aims at estimating bounding boxes and identities of objects in videos. Most methods obtain identities by associating detection boxes whose scores are higher than a threshold.
Yifu Zhang, Pei Sun, Yi Jiang, Dongdong Yu, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang   +7 more
semanticscholar   +1 more source