Normalization channel attention module. by Yuping Yin (3617510)

“…The algorithm aims to enhance long-term attention and dependence during image processing by fusing the large kernel attention module with the C3 module. …”

Description of unimodal benchmark functions. by Yi-Qiang Xia (20161326)

“…<div><p>This paper proposes the Modulated Whale Optimization Algorithm(MWOA), an innovative metaheuristic algorithm derived from the classic WOA and tailored for bionics-inspired optimization. …”

Description of multimodal benchmark functions. by Yi-Qiang Xia (20161326)

“…<div><p>This paper proposes the Modulated Whale Optimization Algorithm(MWOA), an innovative metaheuristic algorithm derived from the classic WOA and tailored for bionics-inspired optimization. …”

Functional enrichment analysis of DEGs. by Huiling Deng (4427161)

Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). To optimize the key parameters <i>K</i> and in variational mode decomposition (VMD), a MOCOA-VMD technique specifically tailored for ECG signal processing was developed. …”

Functional profiling of GS height <i>preserved</i> modules with cumulative evidence for genomic risk effect on co-expression. by Eugenia Radulescu (319733)

Functional profiling of GS-SCZ <i>preserved</i> modules with cumulative evidence for genomic risk effect on co-expression. by Eugenia Radulescu (319733)

Topologically independent modules of <i>iJO1366</i>. by Verónica S. Martínez (12963770)

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Illustrates the structure of the C2F-SimDLKA module. After processing with CBS, the features are first split into two parts: one part is retained without any processing, and the ot... by Xunqian Xu (21261899)

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PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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VFH algorithm flow chart. by Qing Liang (654718)

“…In this paper, we mainly propose an obstacle avoidance method composed of three modules: environment perception, algorithm obstacle avoidance and motion control. …”

Bottleneck network in C3 module. by Yuping Yin (3617510)

“…The algorithm aims to enhance long-term attention and dependence during image processing by fusing the large kernel attention module with the C3 module. …”

S1 Dataset - by Hao Wu (65943)

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Functional enrichment analysis. by Junjie Su (368807)

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Table 1_Extracellular microRNAs modulate human microglial function through TLR8.docx by Hannah Weidling (14422749)

“…Using ELISA, scratch assay, and FACS, we investigated the miRNAs’ potential to modulate iMGL function, including cytokine release, motility, and phagocytosis, respectively. …”

AP values of three methods on the three datasets, including four indicators: AP @50, AP @75, AP @M, and AP @L. Experiment one is the baseline model without adding other modules, ex... by Xunqian Xu (21261899)

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ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space by Koushik Naskar (7510592)

“…For the numerical case, user can directly provide <i>ab initio</i> data (adiabatic PESs and NACTs) as input files to this software or can generate those input files through in-built python codes interfacing MOLPRO followed by ADT calculation. …”

Search-based testing (Genetic Algorithm) - Chapter 11 of the book "Software Testing Automation" by Saeed Parsa (13893726)

“…</p> <p><br></p> <p>3. Algorithm</p> <p>Below is the main body of the test data generator program:</p> <p>  </p> <p>the main body of a Python program to generate test data for Python functions.…”

Functional annotation and PPI analysis of turquoise module genes. by Minhui Xi (20114243)

Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... by Gursimran Singh (575288)

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