Power quality control algorithms for small scale power intergration systems حسب Advocate Mlamla (20170815)

"…A right shunt UPQC has been proposed as a combination of the two devices connected back-to-back through the DC link side for voltage and current multiple power quality issues. Optimisation of effective compensation for the CPDs depends on the proper selection of control algorithms for the gate switching of the Voltage Source Converters (VSCs) used. …"

Pipeline for synthetic population generation. حسب Philip Cherian (11172138)

Source datasets for generating the synthetic population. حسب Philip Cherian (11172138)

Framework of SW-Metapath2vec algorithm. حسب Lang Chai (20521817)

"…The study was conducted using multiple real-world and synthetic datasets to validate the proposed algorithm’s performance. …"

The algorithm for the Transformer-DN model. حسب Liang Na (22226855)

Exploring Human Brain Metabolism via Genome-Scale Metabolic Modeling with Highlights on Multiple Sclerosis حسب Mustafa Sertbas (18211859)

"…In this study, brain cell-specific GEMs were reconstructed for neurons, astrocytes, microglia, oligodendrocytes, and oligodendrocyte precursor cells by integrating single-cell RNA-seq data and global Human1 via a task-driven integrative network inference for tissues (tINIT) algorithm. Then, intercellular reactions among neurons, astrocytes, microglia, and oligodendrocytes were added to generate a combined brain model, iHumanBrain2690. …"

Exploring Human Brain Metabolism via Genome-Scale Metabolic Modeling with Highlights on Multiple Sclerosis حسب Mustafa Sertbas (18211859)

"…In this study, brain cell-specific GEMs were reconstructed for neurons, astrocytes, microglia, oligodendrocytes, and oligodendrocyte precursor cells by integrating single-cell RNA-seq data and global Human1 via a task-driven integrative network inference for tissues (tINIT) algorithm. Then, intercellular reactions among neurons, astrocytes, microglia, and oligodendrocytes were added to generate a combined brain model, iHumanBrain2690. …"

Comparison of results from multiple runs. حسب Naiwei Tu (22177688)

"…Initially, due to the difference and uncertainty between the system load demand and the distributed generation (DG) output, a bilayer dynamic fault recovery with phase type in time scale was constructed. …"

Assessment of multiple parameters for Cell2Spatial performance and assignment strategy. حسب Huamei Li (8815955)

Change in experimental SANS profiles corresponds to the difference between generated states. حسب Samuel Eriksson Lidbrink (21616146)

Control parameters of the SOMA algorithm. حسب Quoc Bao Diep (18452207)

"…Our method enables UAVs to autonomously generate safe and efficient paths in real-time, adapt to dynamic changes, and scale to large swarms without relying on centralized control. …"

MF-MSCNN: Multi-Feature based Multi-Scale Convolutional Neural Network for Image Dehazing via Input Transformation حسب Balla Pavan Kumar (22173860)

Meta-paths of the “Author-Paper-Venue” network. حسب Lang Chai (20521817)

"…The study was conducted using multiple real-world and synthetic datasets to validate the proposed algorithm’s performance. …"

Compare algorithm parameter settings. حسب Yuqi Xiong (12343771)

"…The algorithm integrates three key strategies: a precise population elimination strategy, which optimizes the population structure by eliminating individuals with low fitness and intelligently generating new ones; a lens imaging-based opposition learning strategy, which expands the exploration of the solution space through reflection and scaling to reduce the risk of local optima; and a boundary control strategy based on the best individual, which effectively constrains the search range to avoid inefficient searches and premature convergence. …"

DeepSCN structure. حسب Naiwei Tu (22177688)

"…Initially, due to the difference and uncertainty between the system load demand and the distributed generation (DG) output, a bilayer dynamic fault recovery with phase type in time scale was constructed. …"

pone.0331390.t010 - حسب Naiwei Tu (22177688)

"…Initially, due to the difference and uncertainty between the system load demand and the distributed generation (DG) output, a bilayer dynamic fault recovery with phase type in time scale was constructed. …"

Fault point details. حسب Naiwei Tu (22177688)

"…Initially, due to the difference and uncertainty between the system load demand and the distributed generation (DG) output, a bilayer dynamic fault recovery with phase type in time scale was constructed. …"

Wind turbine parameters. حسب Naiwei Tu (22177688)

"…Initially, due to the difference and uncertainty between the system load demand and the distributed generation (DG) output, a bilayer dynamic fault recovery with phase type in time scale was constructed. …"

Photovoltaic cell parameters. حسب Naiwei Tu (22177688)

"…Initially, due to the difference and uncertainty between the system load demand and the distributed generation (DG) output, a bilayer dynamic fault recovery with phase type in time scale was constructed. …"

16-node network structure diagram. حسب Naiwei Tu (22177688)

"…Initially, due to the difference and uncertainty between the system load demand and the distributed generation (DG) output, a bilayer dynamic fault recovery with phase type in time scale was constructed. …"