Results 121 to 130 of about 15,456,603 (251)

Kinematic Calibration of a 5-DoF Parallel Machining Robot with a Novel Adaptive and Weighted Identification Method Based on Generalized Cross Validation

Chinese Journal of Mechanical Engineering
Accurate kinematic calibration is the very foundation for robots’ application in industry demanding high precision such as machining. Considering the complex error characteristic and severe ill-posed identification issues of a 5-DoF parallel machining ...
Lefeng Gu, Fugui Xie
doaj   +1 more source

First genome sequence of a European Alternaria brassicae isolate and genes involved in early development of alternaria leaf spot on Brassica juncea

Pest Management Science, EarlyView.
This article reports the first genome sequence of a UK Alternaria brassicae isolate. Dual RNA‐sequencing profiling of A. brassicae‐infected Brassica juncea leaves identified differentially expressed genes involved in pathogenicity and host response pathways in moderately resistant Sej‐2 (2) and moderately susceptible Pusa Jaikisan cultivars.
Kevin M. King, Graham McLaughlin, Chinthani S. Karandeni Dewage, Zedi Gao, David J. Hughes, Jonathan S. West, Henrik U. Stotz   +6 more
wiley   +1 more source

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry   +4 more
wiley   +1 more source

A Rank‐Based CUSUM Monitoring Scheme for Time Between Events and Amplitude Data

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Monitoring time between events and amplitude (TBEA) data is critical in many applications, particularly in manufacturing, reliability engineering, and service operations. Yet, most existing TBEA control charts focus on a single quality characteristic and are typically developed under restrictive distributional assumptions.
Muhammad Arslan, Ali Yeganeh, Fatemeh Sogandi, Jean‐Claude Malela‐Majika, Fernanda Otilia Figueiredo, Aisha Iqbal   +5 more
wiley   +1 more source

Evaluating Pose Estimation Uncertainty From Automatic Point Cloud Registration in Multi‐Sensor Robotic Systems

Journal of Field Robotics, EarlyView.
ABSTRACT The poses derived from automatic point cloud registration between stationary laser scans that occur naturally in robotic multi‐sensor systems operating in stop‐and‐go mode have the potential to greatly improve and aid localization and trajectory estimation.
Max Brandstätter, Markus Mikschi, Jelena Gabela, Finn Linzer, Hans Neuner   +4 more
wiley   +1 more source

Integrating Image Segmentation and Deep Learning to Improve Radio Frequency Propagation Models

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper proposes a multi‐sensor approach to improve radio frequency (RF) propagation models, which play a key role in the rapidly expanding field of connected vehicle technology. Focusing on the 1‐ to 20‐GHz frequency range, which is critical for both satellite‐to‐vehicle and base station‐to‐vehicle communications, our study introduces a ...
Jonathan Israel, Xavier Boulanger, Vegard Arneson   +2 more
wiley   +1 more source

Sparse nested Markov models with log-linear parameters

, 2013
Hidden variables are ubiquitous in practical data analysis, and therefore modeling marginal densities and doing inference with the resulting models is an important problem in statistics, machine learning, and causal inference.
Robins, James, Evans, Robin, Richardson, Thomas, Shpitser, Ilya   +3 more
core   +1 more source

Using the Dynamic Bi-Factor Model with Markov Switching to Predict the Cyclical Turns in the Large European Economies [PDF]

The appropriately selected leading indicators can substantially improve the forecasting of the peaks and troughs of the business cycle. Using the novel methodology of the dynamic bi-factor model with Markov switching and the data for three largest ...
Konstantin A. Kholodilin
core  

From Resilience to “Susilience”: Toward Further Theoretical Perspectives in Sustainable Supply Chains

Sustainable Development, EarlyView.
ABSTRACT The increasing exposure of global supply chains to environmental, social, and operational disruptions has intensified scholarly interest in sustainability and resilience. While these concepts are widely discussed, existing research often addresses them separately, preventing understanding of their combined role in supply chain management.
Mahmut Mollaoglu, Bükra Doganer
wiley   +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