Concept of the Supporting Substructure in Intermetallics: V, Nb, and Ta Binary Compounds and Alloys حسب Olga A. Blatova (5081573)

الموضوعات:

Concept of the Supporting Substructure in Intermetallics: V, Nb, and Ta Binary Compounds and Alloys حسب Olga A. Blatova (5081573)

الموضوعات:

Concept of the Supporting Substructure in Intermetallics: V, Nb, and Ta Binary Compounds and Alloys حسب Olga A. Blatova (5081573)

الموضوعات:

An illustrated example of Algorithm 1 (Fig 1). حسب Kathleen M. Jagodnik (10170617)

The developed algorithm to calculate Gene-Disease Prioritization Score (GDPS). حسب Kathleen M. Jagodnik (10170617)

BCN-M: A Free Computational Tool for Generating Wulff-like Nanoparticle Models with Controlled Stoichiometry حسب Danilo González (6320369)

"…The bulk cut nanoparticle model (BCN-M) computational tool generates Wulff-like models for binary materials with controlled stoichiometry automatically with none or little need for further manipulation from the user. …"

Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization حسب Sandeep Jagonda Patil (22048337)

"…The performance of the proposed LEGAN-BEPO-BCMANET technique attains 29.786%, 19.25%, 22.93%, 27.21%, 31.02%, 26.91%, and 25.61% greater throughput, compared to existing methods like Blockchain-based BATMAN protocol utilizing MANET with an ensemble algorithm (BATMAN-MANET), Block chain-based trusted distributed routing scheme with optimized dropout ensemble extreme learning neural network in MANET (DEELNN-MANET), A secured trusted routing utilizing structure of a new directed acyclic graph-blockchain in MANET internet of things environment (DAG-MANET), An Optimized Link State Routing Protocol with Blockchain Framework for Efficient Video-Packet Transmission and Security over MANET (OLSRP-MANET), Auto-metric Graph Neural Network based Blockchain Technology for Protected Dynamic Optimum Routing in MANET (AGNN-MANET) and Data security-based routing in MANETs under key management process (DSR-MANET) respectively.…"

Schematic overview of SINATRA Pro: A novel framework for discovering biophysical signatures that differentiate classes of proteins. حسب Wai Shing Tang (9541179)

Supplemental Tables S1 and S2 for Combining structural modeling and deep learning to calculate the E. coli protein interactome and functional networks حسب Diana Murray (16859046)

"…<p dir="ltr">We report on the integration of three methods that are computationally efficient enough to predict, on a proteome-wide scale, whether two proteins are likely to form a binary complex. The methods include PrePPI, which uses three-dimensional structure information as a basis for predictions, Topsy-Turvy, which analyzes sequences using a protein language model, and ZEPPI, which uses evolutionary information to evaluate protein-protein interfaces. …"

LScD (Leicester Scientific Dictionary) حسب Neslihan Suzen (6947114)

"…</div><div><br></div><div>2.Lowercasing the text data: Lowercasing is performed to avoid considering same words like “Corpus”, “corpus” and “CORPUS” differently. …"

Flowchart of software workflow. حسب Gavrielle R. Untracht (11820311)

The OCTA image processing pipeline and its various stages. حسب Aadit Deshpande (15338918)

Chákṣu IMAGE: A glaucoma-specific fundus image database حسب Harish Kumar J R (12958519)

"…The folder 5.0_OD_OC_Mean_Median_Majority_STAPLE in the Train/Test set contains the overlay, mean, median, majority, and STAPLE algorithm based gold standard binary images obtained from the binary images of doctors annotations. …"

Supplementary Material 8 حسب Nishitha R Kumar (19750617)

"…It is commonly used with classifiers like decision trees, support vector machines (SVM), and deep learning models to improve predictive accuracy. …"