The SSA based SVM objective function minimization against iterations. حسب Ali Ahmed (2567584)

الموضوعات:

Algorithmic assessment reveals functional implications of GABRD gene variants linked to idiopathic generalized epilepsy حسب Ayla Arslan (17943365)

"…</p> <p>The study employs a combination of in silico algorithms to analyze 82 variants of unknown clinical significance of GABRD gene sourced from the ClinVar database. …"

A hybrid algorithm based on improved threshold function and wavelet transform. حسب Bingbing Li (461702)

"…<p>A hybrid algorithm based on improved threshold function and wavelet transform.…"

Predictions from a Universal Value Function Approximator (UVFA) algorithm. حسب Sam Hall-McMaster (10343795)

The PS of ten comparative algorithms on the MMF14a Test Function. حسب Wenxing Wu (16853002)

"…<p>The PS of ten comparative algorithms on the MMF14a Test Function.</p>…"

A Fused Gaussian Process Model for Very Large Spatial Data حسب Pulong Ma (6105767)

"…In particular, a Gaussian process with additive components is proposed, with its covariance structure consisting of two components: one component is flexible without assuming a specific parametric covariance function but is able to achieve dimension reduction; the other is parametric and simultaneously induces sparsity. …"

Parallel Implementation of Density Functional Theory Methods in the Quantum Interaction Computational Kernel Program حسب Madushanka Manathunga (1494862)

"…Our implementation features an octree based numerical grid point partitioning scheme, GPU enabled grid pruning and basis and primitive function prescreening, and fully GPU capable XC energy and gradient algorithms. …"

Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation حسب Kyriacos Yiannacou (10292766)

"…In this work, we demonstrate a programmable microfluidic chip for the two-dimensional manipulation of droplets, based on ultrasonic bulk acoustic waves and a closed-loop machine-learning-based control algorithm. …"

Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation حسب Kyriacos Yiannacou (10292766)

"…In this work, we demonstrate a programmable microfluidic chip for the two-dimensional manipulation of droplets, based on ultrasonic bulk acoustic waves and a closed-loop machine-learning-based control algorithm. …"

Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation حسب Kyriacos Yiannacou (10292766)

"…In this work, we demonstrate a programmable microfluidic chip for the two-dimensional manipulation of droplets, based on ultrasonic bulk acoustic waves and a closed-loop machine-learning-based control algorithm. …"

Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation حسب Kyriacos Yiannacou (10292766)

"…In this work, we demonstrate a programmable microfluidic chip for the two-dimensional manipulation of droplets, based on ultrasonic bulk acoustic waves and a closed-loop machine-learning-based control algorithm. …"

Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation حسب Kyriacos Yiannacou (10292766)

"…In this work, we demonstrate a programmable microfluidic chip for the two-dimensional manipulation of droplets, based on ultrasonic bulk acoustic waves and a closed-loop machine-learning-based control algorithm. …"

Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation حسب Kyriacos Yiannacou (10292766)

"…In this work, we demonstrate a programmable microfluidic chip for the two-dimensional manipulation of droplets, based on ultrasonic bulk acoustic waves and a closed-loop machine-learning-based control algorithm. …"

Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation حسب Kyriacos Yiannacou (10292766)

"…In this work, we demonstrate a programmable microfluidic chip for the two-dimensional manipulation of droplets, based on ultrasonic bulk acoustic waves and a closed-loop machine-learning-based control algorithm. …"

Data_Sheet_1_Modeling intracranial electrodes. A simulation platform for the evaluation of localization algorithms.pdf حسب Alejandro O. Blenkmann (13914651)

"…</p>Conclusion<p>We successfully developed the first platform to model implanted intracranial grids, strips, and depth electrodes and realistically simulate thresholded CT artifacts and their noise. These methods provide a basis for developing more complex models, while simulations allow systematic evaluation of the performance of electrode localization techniques. …"

Fig 2. Estimated correlation coefficient values of the following algorithms for A) Yield, B) NP, C) NRNP, D) RNP, and E) PP using full SNP (Full-) and haplotype block (Haplotype-) dataset.... حسب Mohsen Yoosefzadeh Najafabadi (11950262)

"…Estimated correlation coefficient values of the following algorithms for A) Yield, B) NP, C) NRNP, D) RNP, and E) PP using full SNP (Full-) and haplotype block (Haplotype-) dataset. …"

Fig 3. Estimated coefficient of determination (R2) value of the tested algorithms for A) Yield, B) NP, C) NRNP, D) RNP, and E) PP using haplotype block (Haplotype-) dataset.... حسب Mohsen Yoosefzadeh Najafabadi (11950262)

"…Estimated coefficient of determination (R2) value of the tested algorithms for A) Yield, B) NP, C) NRNP, D) RNP, and E) PP using haplotype block (Haplotype-) dataset. …"

Python cv coding screenshots of all developed fingerprints on distinct surfaces. حسب Nisha Yadav (366131)

Schematic diagram of single-point crossing. حسب Jian Kong (164512)

"…Then the optimization parameters and scope were determined, and multi-objective optimization and direction preference algorithms were introduced. A chaotic optical performance optimization model based on improved multi-objective genetic algorithm was constructed using adaptive functions as evaluation indicators. …"

LADRC framework diagram. حسب Jian Kong (164512)

"…Then the optimization parameters and scope were determined, and multi-objective optimization and direction preference algorithms were introduced. A chaotic optical performance optimization model based on improved multi-objective genetic algorithm was constructed using adaptive functions as evaluation indicators. …"