Table4_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…The computational prediction of protein subcellular localizations can be performed on the basis of the sequence and the functional characteristics. In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …”

Table1_Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features.XLSX by Lei Chen (54296)

“…The computational prediction of protein subcellular localizations can be performed on the basis of the sequence and the functional characteristics. In this study, the protein–protein interaction network, functional annotation of proteins and a group of direct proteins with known subcellular localization were used to construct models. …”

Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms by Connor Lee (22327243)

“…The study integrates Cellpose 2.0 for automated segmentation of nuclei and cytoplasm with a heuristic A* path-finding algorithm to classify cellular connectivity. …”

Detail of benchmark functions comparison. by Jalal- ud-Din (21474307)

Training accuracy/loss as a function of epochs for different datasets. by Hiam Alquran (17636906)

The probability of an undetectable error as a function of the number of redundant channels and the number of adversarial faults. by Edward L. Platt (6551294)

Visualization and balancing the cost function with the Pauli term. by Alexander Borst (32619)

The convergence curves of all the 10 algorithms. by WanRu Zhao (18980374)

“…According to the encouraging research results in this paper, the IERWHO algorithm proposed has a place in the field of optimization.…”

Convergence curves of the mean function error values for six test functions at <i>D</i> = 30. by Meijun Duan (7461293)

Visualization of variants. by Dong-Jun Lee (14068673)

Subjects:

Comparison of running times. by Dong-Jun Lee (14068673)

Subjects:

Multi-scale detection of hierarchical community architecture in structural and functional brain networks by Arian Ashourvan (6685232)

“…We compare the brain’s structural and functional network architectures, and we demonstrate that structural graphs display a more prominent hierarchical community organization than functional graphs. …”

Local topological scales of hierarchical community organization in structural and functional brain graphs. by Arian Ashourvan (6685232)

Fuzzy membership function for yaw with . by Yasir Mehmood (744452)

Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

“…The reaction network is assumed to form a linear degradation chain 1 → 2 → ⋯ → <i>N</i> with the end-product concentration (metabolite <i>N</i>, orange) taken as the function of interest (shown with <i>N</i> = 3 as an example). …”

Data_Sheet_1_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.PDF by Ledycnarf J. Holanda (10761786)

Data_Sheet_3_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.PDF by Ledycnarf J. Holanda (10761786)

Data_Sheet_4_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.PDF by Ledycnarf J. Holanda (10761786)

Data_Sheet_2_Adaptive Algorithms as Control Strategies of Smart Upper Limb Orthosis: A Protocol for a Systematic Scoping Review.PDF by Ledycnarf J. Holanda (10761786)

Functions of Q-H graph. by Jinzhang Jia (9647878)