Results 81 to 90 of about 2,726,110 (255)
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
Predicting innovative firms using web mining and deep learning. [PDF]
Kinne J, Lenz D.
europepmc +1 more source
Affect Analysis of Radical Contents on Web Forums Using SentiWordNet [PDF]
The internet has become a major tool for communication, training, fundraising, media operations, and recruitment, and these processes often use web forums.
Ellman, Jeremy, Chalothorn, Tawunrat
core +1 more source
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
Exploring the Impact of Linguistic Signals Transmission on Patients' Health Consultation Choice: Web Mining of Online Reviews. [PDF]
Shah AM +6 more
europepmc +1 more source
Preprocessing and Content/Navigational Pages Identification as Premises for an Extended Web Usage Mining Model Development [PDF]
From its appearance until nowadays, the internet saw a spectacular growth not only in terms of websites number and information volume, but also in terms of the number of visitors.
Daniel MICAN, Dan Andrei SITAR TAUT
core
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
Machine learning has digitalized heterogeneous catalysis from the top of the length scale downward: prediction at the atom and the material is now mature, yet the reactor and the process remain the open frontier. This critical review traces a decade of progress across the full catalytic value chain and asks where the next decade of impact must be won ...
Rafael Larraz, Avelino Corma
wiley +2 more sources
Data mining, which is a new technique interested in discovering knowledge huge amount of data, has been effectively used in many sectors especially in banking, assurancy, medicine and marketing.
Hidayet Takçı, İbrahim Soğukpınar
doaj
Bayesian methods for classification inappropriate web pages
The incursion of the Internet has created new forms of information and communication, but it can also carry great dangers, when its use is related to inappropriate content, such as, access to harmful contents and the rise of new kinds of crimes.
Jorge E. Rodríguez R +1 more
doaj +1 more source

