Results of different algorithms for ship detection and tracking. by Guoqing Zhang (151441)

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Comparison of different optimization algorithms. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Deep SORT module structure. by Guoqing Zhang (151441)

Subjects:

Sorting datasets by Mohammed Alaa Ala'anzy (21711464)

Subjects:

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

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Scatter diagram of different principal elements. by Jizhong Wang (7441697)

“…The experimental results show that the SSA-LightGBM model proposed in this paper has an average fault diagnosis accuracy of 93.6% after SSA algorithm optimization, which is 3.6% higher than before optimization. …”

Results of different models for ship detection. by Guoqing Zhang (151441)

Subjects:

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

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Model’s measure methods. by Songsong Wang (8088293)

Subjects: “…necessitating extensive data…”

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

mAP values of the transfer learning models and the un-transferred learning model. by Guoqing Zhang (151441)

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Hyperparameters of the pre-trained model. by Guoqing Zhang (151441)

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Network structure of the YOLOv7 model. by Guoqing Zhang (151441)

Subjects:

Action potential of sample points in model 1. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

Action potential of sample points in model 2. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

Action potential of sample points in model 0. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”