Results 41 to 50 of about 260,838 (285)
Genetic Algorithms in Application to the Geometry Optimization of Nanoparticles
Algorithms, 2009 Applications of genetic algorithms to the global geometry optimization problem of nanoparticles are reviewed. Genetic operations are investigated and importance of phenotype genetic operations, considering the geometry of nanoparticles, are mentioned ...
Nazım Dugan, Şakir Erkoç
doaj +1 more source
CM-Unet: A Novel Remote Sensing Image Segmentation Method Based on Improved U-Net
IEEE Access, 2023 Semantic segmentation is an active research area for high-resolution (HR) remote sensing image processing. Most existing algorithms are better at segmenting different features.
Mengtian Cui +3 more
doaj +1 more source
Interval Arithmetic and Standardization [PDF]
, 2008 Interval arithmetic is arithmetic for continuous sets. Floating-point intervals are intervals of real numbers with floating-point bounds. Operations for intervals can be efficiently implemented.
core +1 more source
Towards Verified, Constant-time Floating Point Operations [PDF]
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018 The runtimes of certain floating-point instructions can vary up to two orders of magnitude with instruction operands, allowing attackers to break security and privacy guarantees of real systems (\eg browsers). To prevent attacks due to such floating-point timing channels, we introduce CTFP, an efficient, machine-checked, and extensible system that ...
Marc Andrysco +4 more
openaire +1 more source
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
FEBS Open Bio, EarlyView.Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Neural network training with limited precision and asymmetric exponent
Journal of Big Data, 2022 Along with an extremely increasing number of mobile devices, sensors and other smart utilities, an unprecedented growth of data can be observed in today’s world.
Mariusz Pietrołaj, Marek Blok
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Dianzi Jishu Yingyong, 2023 Aiming at the high confidentiality requirement of medical image data transmission in the Internet, an encryption method based on Logistic chaotic floating point number operation is proposed for medical image encryption.
Pang Yu, Wei Dong, Wang Junchao
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Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis
FEBS Open Bio, EarlyView.Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho +4 more
wiley +1 more source
International Journal of Antennas and Propagation, 2012 It is argued here that more accurate though more compute-intensive alternate algorithms to certain computational methods which are deemed too inefficient and wasteful when implemented within serial codes can be more efficient and cost-effective when ...
Mohammed F. Hadi
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FPGA Implementation of Convolutional Neural Networks with Fixed-Point Calculations
, 2018 Neural network-based methods for image processing are becoming widely used in practical applications. Modern neural networks are computationally expensive and require specialized hardware, such as graphics processing units.
Kalinin, Alexandr A. +4 more
core +1 more source