Results 111 to 120 of about 2,098 (235)
Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
The Study of Air Cargo Transportation at Hong Kong International Airport [PDF]
This thesis examines the competitiveness and operational strategies of Hong Kong International Airport (HKIA), a leading global air cargo hub, focusing on technological innovation, multi-stakeholder collaboration, and sustainable development.
Liu, Siyi
core
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
A frequent max substring technique for Thai text indexing
This research details the development of a novel methodology, called the frequent max substring technique, for extracting indexing terms and constructing an index for Thai text documents.
Chumwatana, Todsanai
core
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source
Establishing collaborative robot arms through digital twin-enabled decision support systems
With waste volumes continuing to rise globally, the need for smarter and more efficient waste management solutions is becoming increasingly urgent. Traditional sorting methods are often manual and not sustainable in the long run.
Zhu, Siyao
core
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Visualizing and Investigating Architectural Space Using Spherical Panoramic Imaging
This paper reports on the use of immersive spherical imaging techniques to document, visualize and investigate architectural space. This technology can be used in the classrooms and design studios to augment traditional instructional and design ...
W. Jabi
core
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source

