Preference-driven parameter tuning of model predictive controllers by Xu, Zekai

“…Simulations were conducted to evaluate the efficacy of the GLISp algorithm in various MPC applications, benchmarking its performance against traditional non-preference-based algorithms. …”
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A simulation model of array tunable QCL and its verification in liquid sample sensing (edible oil) by Song, Weifan

“…To verify the design’s practicability, a parallel verification experiment using the Fourier Transformation Infrared (FTIR) Sensing is conducted to provide the benchmark of the simulated design. The parallel experiment and the simulated experiments comparison show the possible construction of a more compact system using the QCLs while yielding similar accuracy as the FTIR counterpart and the possible robustness of the QCL system related to certain samples.…”
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Deep learning techniques for text classification by Raihan, Diardano

“…The experiment also highlights the effectiveness of the ensemble-based and temporal convolutional neural network in achieving good performances and even competing with the state-of-the-art benchmark models.…”
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Energy-efficient clustering: optimal cluster head location algorithms accounting for prohibited region in wireless sensor networks by Shi, Guang

“…Theoretical analysis and simulation results validate the effectiveness and superiority of these proposed algorithms, providing a useful benchmark for evaluating distributed clustering schemes in WSNs with prohibited regions. …”
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Uniform person re-identification by Li, Dichen

“…We implement various methods and conduct thorough performance evaluations using benchmark datasets such as White Re-ID, Black Re-ID, and NTUOutdoor-Color. …”
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3D point clouds indoor object detection by Li, Zhuhang

“…Finally, evaluate the benchmark model and Improved Lightweight VoteNet based on the SUNRGBD dataset. …”
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Image super-resolution using dual regression network and kernel estimation by Xu, Guohao

“…In this project, we will build a new training data set based on the Kernel GAN method and apply it to the latest network model, and then perform a SR test on the benchmark dataset and evaluate its performance.…”
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32-bit low-delay arithmetic-logic unit by Mu, Yihao

“…The result shows that the 32-bits high-speed ALU leads to 50.4% improvement in delay compared with the benchmarked design.…”
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Novel deep learning based SAR image processing by Wu, Xiguang

“…The experimental comparative analysis forms the index benchmark, which can facilitate other scholars to further develop SAR land water detection related research on the basis of this dataset.…”
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A study of video denoising based on deep learning by Zou, Dejian

“…To evaluate their ability to remove AWGN, benchmarks DVAIS and Set8 are used. Then DVDnet which is the best considering both denoised results and running time is chosen for further experiments. …”
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A simulation-based reinforcement learning solution for a dynamic mixed-model assembly line sequencing problem by Yu, Dongsheng

“…It had a higher throughput than the benchmarks solution of First-in-first-out, Fixed Batch Size, and Arrival Frequency-based Batch Size. …”
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Machine learning for online exam proctoring by Tian, Wenqiang

“…Finally, experimental results on benchmark datasets show the superior performance of the proposed system, with 3% improvement in small object detection rate and 70% decrease in false alarm rate. …”
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16-bit low-power CMOS multiplier IC design by Wang, Jun

“…The other three multipliers will compare power, cell area, delay time with CSA, which is the benchmark in this thesis. In conclusion, the optimized Booth encoding Multiplier and Wallace Tree Multiplier were implemented with lower power consumption and shorter delay. …”
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Person detection and tracking using artificial intelligence by Liu, Jiaqi

“…The proposed model is evaluated on the challenging MOT benchmarks. We conduct experiments with different detection models and conclude that accurate detection improves tracking performance. …”
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Human pose estimation using artificial intelligence by Dai, Yue

“…The model is trained and tested on COCO benchmark. The modified TransPose model with unbiased approach is experimented as well. …”
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Comparative study of point cloud registration approaches by Xu, Mingxi

“…These methods will be tested on a well-defined combined point cloud benchmark and two classic public point cloud datasets and results will contain multi-level metrics. …”
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Spiking neural network for object recognition by Li, Wei

“…It evaluates the performance of the Spatio-Temporal Backpropagation (STBP) method within a shallow network architecture on benchmark datasets including MNIST, CIFAR-10, and CIFAR-100 for image classification, comparing it with traditional Convolutional Neural Networks (CNNs). …”
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Deep learning for corpus callosum segmentation by Hua, Guokai

“…In this dissertation, corpus callosum segmentation network (OpccNet), a CC MRI segmentation algorithm is developed, based on OpenCC, a public benchmark MRI dataset for assessing the CC segmentation algorithms. …”
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16-bit low power digital FIR filter IC design by Hu, Mengqi

“…The proposed FIR filter is 75% smaller than and 43% lower power than the benchmark filter.…”
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Multi-modal semantic segmentation in poor lighting conditions by Li, Zifeng

“…We evaluate our approach on several benchmark datasets, including the MFNet and PST900 datasets. …”
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