pone.0314656.t001 - Privacy-preserving method for face recognition based on homomorphic encryption by Zhigang Song (113445)

Subjects:

The storage cost of each algorithm. by Shahzad Khan (15275200)

DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx by Ying Sun (23237)

“…In this paper, a genetic algorithm-based optimization method for ladle refractory lining structure is proposed. …”

DataSheet1_Genetic Algorithm-Based Optimization of Curved-Tube Nozzle Parameters for Rotating Spinning.docx by Wenhui Li (396116)

“…<p>This paper proposes an optimization paradigm for structure design of curved-tube nozzle based on genetic algorithm. …”

CPO-CNN model flowchart. by Minan Tang (20389941)

“…Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algorithm based on fast S-transform and crested porcupine optimizer (CPO) optimized CNN. …”

Displacement response comparison between ergodic search and traditional PS when <i>μ</i> remains constant. by Jianwei Liu (163716)

Data_Sheet_2_Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models.xlsx by Alexander Ladd (12888461)

Data_Sheet_1_Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models.pdf by Alexander Ladd (12888461)

A portfolio selection model based on the knapsack problem under uncertainty by Fereshteh Vaezi (6655028)

“…Finally, a discrete firefly algorithm is designed to find the near optional solutions in large dimensions. …”

Flow chart of INFO-KELM model. by Qiongfang Zhang (18055134)

“…To further enhance the thrust density of HMMS, a HMMS optimization model is proposed based on the kernel extreme learning machine (KELM) optimized by weIght meaN oF vectOrs (INFO) algorithm. …”

CNN model classification prediction results. by Minan Tang (20389941)

“…Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algorithm based on fast S-transform and crested porcupine optimizer (CPO) optimized CNN. …”

CPU runtime and accuracy for each model. by Minan Tang (20389941)

“…Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algorithm based on fast S-transform and crested porcupine optimizer (CPO) optimized CNN. …”

Flow chart of particle swarm algorithm. by Nour Eldeen Mahmoud Khalifa (19259450)

“…</p><p>Method</p><p>In this paper, a deep fusion model based on whale optimization and an artificial neural network for Arabian date classification is proposed. …”

The flow of the SP-DRL algorithm. by Jie Fang (306330)

“…Finally, instances are used to analyze the optimization effect of the algorithm. …”

General structure of COA optimized MNS-YOLO. by Jiayue Zhang (7832669)

“…In this study, the hybrid model CMNS-YOLO, which combines the crawfish optimization algorithm with the MNS-YOLO model, is proposed to achieve the ultimate detection accuracy. …”

CPO-CNN model classification prediction results. by Minan Tang (20389941)

“…Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algorithm based on fast S-transform and crested porcupine optimizer (CPO) optimized CNN. …”

Classification accuracy for each model test set. by Minan Tang (20389941)

“…Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algorithm based on fast S-transform and crested porcupine optimizer (CPO) optimized CNN. …”

Table_1_Optimizing DUS testing for Chimonanthus praecox using feature selection based on a genetic algorithm.xlsx by Ting Zhu (460268)

Flat optimization method. by Nisha Ann Viswan (20371285)

Dimensions of the calculated model. by Dapeng Wang (250459)

“…The impact of detection probability and maintenance measures on the service life of tunnel lining and the cost of detection and maintenance of cracked lining in the whole life cycle was analyzed; the optimization calculation model of tunnel lining crack detection and maintenance strategy based on genetic algorithm was established with the multi-objective optimization function of maximizing the service life of detection and maintenance and minimizing the total cost of detection and maintenance of fatigue cracks. …”