Results 41 to 50 of about 24,193 (248)
Soft Computing Methodologies in Modern Image Processing Tasks
Soft Computing methods have the ability to handle noisy, uncertain, and varying image processing tasks in a flexible and approximate manner, outperforming traditional approaches with the aid of Fuzzy Logic, Artificial Neural Networks, and Evolutionary Computing, and Hybridized approaches, which have been found to have better performance measures such ...
Shruti, Rana, Udayasuriyan, Arun
openaire +2 more sources
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil +4 more
wiley +1 more source
A Comprehensive Review of EEG-Based Seizure Detection Techniques
The automated classification and prediction of epileptic seizures using electroencephalography (EEG) remains a dynamic and critical area of interdisciplinary research, situated at the intersection of neuroscience and computational intelligence.
Goldwyn Sudhakar Jebaraj +1 more
doaj +1 more source
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
wiley +1 more source
Quantum Overflow Detection for Reliable Bioinspired Image Enhancement
In quantum information science, fundamental principles of quantum mechanics, particularly quantum parallelism are leveraged to enable computational capabilities that exceed the performance limits of classical computing systems.
Neeraj Kumar Misra, Nirupma Pathak
doaj +1 more source
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
The escalating demand for chronic disease management has presented substantial challenges to traditional methods. However, the emergence of Internet of Things (IoT) and artificial intelligence (AI) technologies offers a potential resolution by ...
Yu Liu, Boyuan Wang, Boyuan Wang
doaj +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study
The iMagine project is an EU-funded initiative led by the EGI Foundation. One of the objectives of this project is to provide an AI platform that leverages AI-powered tools to improve the processing and analysis of imaging data from marine and freshwater
Elnaz Azmi +27 more
doaj +1 more source

