Results 161 to 170 of about 810,691 (251)

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

Machine Learning for Programmable Nanosystems: From Liposome Formulation to DNA Origami and Hybrid Vesicles

Small, EarlyView.
This mini review highlights how machine learning can accelerate the design of programmable nanosystems. It summarizes data‐driven approaches for predicting liposome properties, guiding DNA origami design and image analysis, and optimizing emerging liposome‐DNA hybrid platforms.
Daniel Q. Zhang, Matthew A. B. Baker
wiley   +1 more source

Network clustering algorithms and preprocessing pipelines for robust cell type identification in single-cell RNA sequencing data. [PDF]

Sci Rep
Nasrollahi FSF, Silva FN, Liu S, Chaudhuri S, Yu M, Wang J, Nho K, Saykin AJ, Bennett DA, Sporns O, Fortunato S.   +10 more
europepmc   +1 more source

Artificial intelligence empowers targeted protein degradation: Core technological innovations, multi‐scenario applications, and translational prospects

Smart Molecules, EarlyView.
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin, Rui Peng, Guangshuai Zhang, Si Yan, Jin Xiao, Zishu Liu, Ziyu Tan, Qingqing Xie, Shangjie Li, Wei Luo, Xiaohe Xiao   +10 more
wiley   +1 more source

Analyzing the digital customer journey: a novel framework for sequential behavior modeling. [PDF]

Sci Rep
Bar-El L, Chalutz-BenGal H, Gazit S, Patalon T, Ben-Gal I.   +4 more
europepmc   +1 more source

Severity‐Based Reliability Assessment of Energy Communities

Safety Science and Technology, EarlyView.
We develop a severity‐based semi‐Markov framework that replaces binary generation‐demand adequacy with a time‐varying, multistate classification of renewable‐energy shortfalls. The method quantifies shortfall probability, magnitude, persistence, first‐passage time, and unsafe occupation, and derives a cyclo‐stationary severity law to support safety ...
Guglielmo D'Amico, Filippo Petroni, Salvatore Vergine   +2 more
wiley   +1 more source

Adaptive weighted dynamic time warping clustering with a deep codec model for accurate photovoltaic power prediction. [PDF]

Sci Rep
Xin Z, Zheng G, Chi W, Lu J, Hao L.
europepmc   +1 more source

Detecting changes in distribution and abundance using harvest data in two sympatric bear species in Southeast Alaska

Wildlife Biology, EarlyView.
Monitoring wildlife populations in remote landscapes is challenging due to the difficulties of conducting field surveys. However, harvest data, which are routinely collected by management agencies, offer valuable insights into population trends. Brown bear Ursus arctosand American black bear U.
Philip R. Douchinsky, Anthony P. Crupi, Youngsang Kwon, Jason N. Waite, Emily E. Puckett   +4 more
wiley   +1 more source

Bayesian tele-connected spatial clustering of multivariate spatial data with applications to disease-mapping. [PDF]

Biometrics
Bhattacharyya S, Sang H, Mallick B.
europepmc   +1 more source

Life‐history stages and behavior influence demographic classification of moose captured on remote cameras

Wildlife Biology, EarlyView.
Obtaining accurate information on demographic states, such as the age and sex classes of animals, is an important step for monitoring wildlife populations. Traditionally, demographic data are collected from harvest, aerial surveys and telemetry studies.
Alexej P. K. Sirén, Zalmai Moheb, Emily Carlson, Adam Beiner, Michael Pfeister, Ian Doherty, Bruno López Del Hierro, Claudio López Del Hierro, Isabella Hanley, Helena Firlings, Ela Shevket, Arielle Lifton‐Jochnowitz, Lee Kantar, Scott R. McLellan, Carter Barthelman, Tammy L. Wilson   +15 more
wiley   +1 more source