Results 51 to 60 of about 201 (133)
Spaceborne and spaceborn: Physiological aspects of pregnancy and birth during interplanetary flight
Experimental Physiology, EarlyView.Abstract Crewed interplanetary return missions that are on the planning horizon will take years, more than enough time for initiation and completion of a pregnancy. Pregnancy is viewed as a sequence of processes – fertilization, blastocyst formation, implantation, gastrulation, placentation, organogenesis, gross morphogenesis, birth and neonatal ...
Arun V. Holden
wiley +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Advanced Control for Applications, Volume 8, Issue 3, September 2026.Schematic diagram of the whale optimization algorithm (WOA)–optimized fuzzy proportional–integral–derivative (PID) controller. The WOA is employed to dynamically tune the scaling factor expressions and fuzzy control parameters (a(e)a(e), a(ec)a(ec), βpβp, βiβi), as well as the initial PID gains (kp0kp0, ki0ki0), based on the error (ee) and its ...
Xiaosong Tian +7 more
wiley +1 more source
Journal of Multi-Criteria Decision Analysis, Volume 33, Issue 2, August 2026.ABSTRACT The Flexible and Interactive Tradeoff Elicitation (FITradeoff) method is a Multi‐Attribute Decision‐Making (MADM) approach designed to capture the preferences of a Decision Maker (DM) while minimising cognitive effort. To reduce the frequency of interactions and optimise the preference elicitation process, this paper introduces an innovative ...
Qian Zhao +3 more
wiley +1 more source
Super‐Resolution of Planetary Images Based on Generative Adversarial Network
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract Currently, satellite imagery serves as the primary means of observing terrestrial planets such as the Mars, the Moon, and Mercury. Enhancing the resolution and quality of these images can provide more detailed insights into planetary surfaces. However, improvements in image quality are often limited by the constraints of sensor technology and ...
Xiaoran Zhang, Yiran Wang, Miao Zhuo
wiley +1 more source
Thinking Is Not Enough: The B* Expansion Technique for Enhancing Autonomous LLM Agents
Expert Systems, Volume 43, Issue 8, August 2026.ABSTRACT Most autonomous agents built on large language models (LLMs) focus on improving internal reasoning while assuming a fixed and complete set of primitive actions. In this work, we challenge this assumption and introduce the B*$$ {B}^{\ast } $$ expansion technique, an action‐centric method that enables agents to iteratively construct new actions ...
Sebastián Andrés Mayorquín Posadas +1 more
wiley +1 more source
Advanced Sensor Research, Volume 5, Issue 7, July 2026.Breathomics is established as a non‐invasive diagnostic strategy by combining volatile organic compound biomarkers, nanomaterial‐based sensor arrays, and AI‐driven classification. Key diseases, sensing materials, and analytical challenges are critically compared, revealing how portable, data‐enabled breath platforms are moving toward clinically useful ...
Anesu Nyabadza +3 more
wiley +1 more source
Carbon Neutralization, Volume 5, Issue 4, July 2026.This review provides a comprehensive and up‐to‐date overview of applications of machine learning in predicting lithium/sodium‐ion batteries' cycle life. ABSTRACT The cycle life of rechargeable batteries, such as lithium‐ion and sodium‐ion systems, is a critical performance metric that determines their suitability for various applications in the context
Bo Zhang +6 more
wiley +1 more source
Journal of Forecasting, Volume 45, Issue 4, Page 2059-2077, July 2026.ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das +2 more
wiley +1 more source
Hydrogen to Power: Exploring Current Developments and Future Challenges
Natural Sciences, Volume 6, Issue 3, July 2026.As the interest in low‐carbon energy systems grows, hydrogen continues to attract attention as a flexible energy carrier for power applications. Developments in hydrogen production, storage, transport, and utilization are explored. In addition, the deployment challenges of hydrogen energy vector related to economics, infrastructure, safety, and ...
Md. Shafiullah +6 more
wiley +1 more source