Results 101 to 110 of about 364,970 (290)
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
Association and Sequence Mining in Web Usage [PDF]
Web servers worldwide generate a vast amount of information on web users’ browsing activities. Several researchers have studied these so-called clickstream or web access log data to better understand and characterize web users.
Claudia Elena DINUCA
doaj
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
Text mining and dimension reduction method application into exploring isomorphic pressures in corporate communication on textual tweet data about sustainability in the energy sector [PDF]
The study analyses the isomorphism pressures within the context of sustainability by exploring the Twitter communication in the energy sector. Recently, there can be observed the increasing focus on interactive and communicative construction of an ...
Nakayama, Atsuho +2 more
core
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Web Page Ranking Based on Text Content and Link Information Using Data Mining Techniques
Thanks to the rapid expansion of the Internet, anyone can now access a vast array of information online. However, as the volume of web content continues to grow exponentially, search engines face challenges in delivering relevant results.
Esraa Q. Naamha, Matheel E. Abdulmunim
doaj +1 more source
Features Analysis of Online Shopping System Using WCM
Data mining techniques being used for web information extraction are unbelievable systems and suggested for the protection of extremely susceptible data.
Maria Erum +3 more
doaj +1 more source
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Entwicklungen im Web 2.0 aus technischer, ökonomischer und sozialer Sicht [PDF]
Inhalt: I User-Generated Content 1 Tagging vs. Ontologies 3 David Stadler; Semantic Web vs. Web 2.0 13 Armin Stein; User-Generated Advertising 23 Burkhard Weiß; Qualitätsaspekte im User-Generated Content 39 Jens Feldkamp; Data Mining im User-Generated ...
Grob, Heinz Lothar, Vossen, Gottfried
core
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source

