Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm by Hussein Ali Bardan (21976208)

“…Our results show that deep learning and optimization </p><p dir="ltr">methods, such as the binary GWO algorithm, can be successfully applied to melanoma diagnosis. …”

The impact of step sizes on pressure prediction in fracturing treatment via deep learning algorithms by Yuxuan Liu (349237)

Subjects:

The loss of Deep Learning with GATs. by Pei Zhao (487688)

Subjects:

Notable studies on demand forecasting using deep learning. by Mohd Sakib (20565228)

Architecture of Optimized deep learning Networks. by Xuan Wang (55634)

“…The research problem is addressed by introducing the House Price Evaluation Model (HPEM), which utilizes a hybrid deep learning network for analyzing multi-source geographic data. …”

Hyperparameter settings of the machine learning and deep learning methods. by Maocheng Cao (22127378)

Subjects:

The metro zone algorithm pseudo-code. by Sarah Alhumoud (22258183)

The performance matrix of different machine learning algorithms. by Ahmad M. Al-Omari (20460931)

Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

<b>Ensemble Optimized Deep Learning-Based Framework</b> by D. Mahesh (19730962)

Subjects:

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

Subjects:

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

Subjects:

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

Subjects:

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

Subjects:

Deep Diving into deep learning and AI: Experiences and lessons learned by eRNZ Admin (6438486)

“…</p><p dir="ltr">Brent’s research in AI and machine learning includes developing new ML classification algorithms, applying ML to real-world problems such as electricity demand forecasting and internet search engines, research and development in Intelligent Tutoring Systems, developing social network analysis and anomaly detection techniques for criminal investigation, and applying deep learning to environmental computer vision problems.…”

Data and code availability: Machine Learning on systematically curated data reveals key determinants of magnetic hyperthermia performance by Edgar Vega (21981590)

Dual deconvolution algorithm: analysis code with experimental data by Wonshik Choi (18877660)

“…<p dir="ltr">This software package provides key algorithms for dual-deconvolution microscopy analysis, along with both experimental and numerical data. …”

Comparison results of different deep learning models. by Yin Luo (160903)

Subjects:

Pseudocode for bat-optimized deep learning model. by Xuan Wang (55634)

“…The research problem is addressed by introducing the House Price Evaluation Model (HPEM), which utilizes a hybrid deep learning network for analyzing multi-source geographic data. …”

data_code.zip by Mengmeng Gong (20129994)