Comparison of recognition rates for three algorithms at different SNRs. by Jiuxiao Cao (21594403)

Comparison of recognition rates for three algorithms at different SNRs. by Jiuxiao Cao (21594403)

The sensitive wavelengths selected by MSR. by Yongmei Li (227480)

Sensor value scenario for fuzzy logic algorithm. by Gourab Saha (8987405)

Subjects:

Sensor value scenario for average value algorithm. by Gourab Saha (8987405)

Subjects:

Adaptive pre-coded OFDM-based WSNs architecture. by Emad S. Hassan (17775798)

Subjects:

Greedy optimization algorithm. by Alexis Bénichou (19832361)

“…The horizontal orange dashed line indicates the codelength of the corresponding simple graph model without motifs (see Motif-free reference codes). (D) The algorithm is run a hundred times for each dyadic base model and the most compressing model is selected. …”

Available habitat across a portion of the study landscape projected for each species type based on selected solutions. by Max D. Jones (6269006)

Training results of each algorithm on the DOTA dataset. by Xuhui Liu (546025)

Hyperparameter tuning for DQN-based load balancing. by Yousef Sanjalawe (22216626)

Overview of the wavess algorithm and R package. by Narmada Sambaturu (4989539)

Layout of the EEG channel selections in the measurement. by Dovilė Kurmanavičiūtė (21072549)

Dice and 95HD results of the different selection strategies. by Guoping Shan (8999381)

Subjects:

Convergence curves for all algorithms. by Genliang Li (5816264)

“…This approach encompasses a novel nonlinear parameter control strategy to balance exploration and exploitation effectively, thereby preventing the algorithm from converging prematurely. Additionally, an adaptive fitness distance balancing mechanism is proposed to prevent premature convergence and enhance search efficiency by selecting high-potential solutions. …”

Parameter Settings for competitive algorithms. by Genliang Li (5816264)

“…This approach encompasses a novel nonlinear parameter control strategy to balance exploration and exploitation effectively, thereby preventing the algorithm from converging prematurely. Additionally, an adaptive fitness distance balancing mechanism is proposed to prevent premature convergence and enhance search efficiency by selecting high-potential solutions. …”

Selection and quantification of text indicators. by Zhiheng Zhang (9347282)

Character selection and extraction comparison. by Zhiheng Zhang (9347282)

Three machine learning algorithms were further employed to select candidate key hub genes. by Zhifeng Wu (303016)

“…(C, D) The Support Vector Machine Recursive Feature Elimination (SVM-RFE) algorithm was used to select significant feature genes from the 20 candidate genes. …”

Screening criteria applied for the study selection process. by Yong Lin Lai (20854961)

CNN-GRU based on GA. by Jianpeng Zhang (528185)

“…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …”