-
81
-
82
-
83
-
84
Performance of the individual and proposed methods for multiclass classification of lung cancer.
Published 2025Subjects: -
85
Graphical comparison of multiclass lung cancer classification with different approaches.
Published 2025Subjects: -
86
-
87
-
88
-
89
-
90
Characteristics of Participant by the ease of using the telehealth system “Effort Expectancy”.
Published 2025Subjects: -
91
-
92
A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…To address this, the research integrates a modified A* pathfinding algorithm with a U-Net convolutional neural network, a custom statistical binary classification method, and a personalized Min-Max connectivity threshold to automate the detection of astrocyte connectivity.…”
-
93
-
94
ML algorithms used in this study.
Published 2025“…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …”
-
95
-
96
-
97
-
98
Classification performance after optimization.
Published 2025“…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”
-
99
(A) Accuracy and (B) loss of training and validation sets of multiclass classification using CNN.
Published 2025Subjects: -
100
Structure of the proposed hybrid CNN-SVD-based ensemble model for lung cancer classification.
Published 2025Subjects: