Performance of machine learning algorithms. by Wenxue Liu (6877754)

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.…”

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

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.…”

Augmentation levels with back-translation. by Rodrigo Gutiérrez Benítez (19746443)

Subjects:

A comparison of with other published cancer prediction algorithms. by Ruiyu Zhan (21602031)

Subjects:

Data size, algorithm, and cross validation metrics in case study 1. by Lillian Li (11337679)

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

Subjects:

Example of back-translation based on Jacob and Shushma [8]. by Rodrigo Gutiérrez Benítez (19746443)

Subjects:

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

“…This research presents Data-Driven Intrusion Detection System in Internet of Things utilizing Optimized Bayesian Regularization-Back Propagation Neural Network (DIDS-BRBPNN-BBWOA-IoT) to overcome these issues. …”

Evaluating the Efficacy of Different Machine Learning Methods to Classify Cancer Data. by Ruiyu Zhan (21602031)

Subjects:

Acceleration data of African white-backed vultures with behaviour labels by Wanja Rast (18055339)

“…<p dir="ltr">This dataset is part of the publication "Death detector: Using vultures as sentinels to detect carcasses by combining bio-logging and machine learning" and was used to train machine learning algorithms for behaviour classification.…”

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

The accuracy of all employed learning algorithms. by Quan Shao (20148209)

Machine learning algorithms hyperparameter values. by Mahbub E. Sobhani (22278967)

Types of machine learning algorithms. by Md. Merajul Islam (12646837)

“…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …”

Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)

Table 1_Association of weight-adjusted waist index and body mass index with chronic low back pain in American adults: a retrospective cohort study and predictive model development... by Weiye Zhang (13738960)

“…Objective<p>This study utilized National Health and Nutrition Examination Survey (NHANES) data to investigate the associations between weight-adjusted waist index (WWI), body mass index (BMI), and chronic low back pain (CLBP) risk, and to develop machine learning models to assess the predictive capacity of WWI for CLBP.…”

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