Final assignment algorithm. by Negin Alisoltani (11949357)

Automated diagnosis of heart valve degradation using novelty detection algorithms and machine learning by Bernhard Vennemann (7434353)

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Parameters to configure the multi-staged vascularization using the PDCCO algorithm. by Eduardo G. Zilves (22209247)

Optimized algorithm framework diagram. by Xutao Liu (13006965)

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Reagents, software, and algorithms used in the study with their sources for result reproduction. by Aanchal Yadav (14206853)

Comparison of deconvolution and optimization algorithms on a batch of data. by Ali-Kemal Aydin (10968731)

“…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”

Two-stage object detection algorithm process. by Xutao Liu (13006965)

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On-Demand Optimization of Colorimetric Gas Sensors Using a Knowledge-Aware Algorithm-Driven Robotic Experimental Platform by Zhehong Ai (17937324)

Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri. by Burak Alakent (463512)

The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

Optimization Performance Comparison of Metaheuristic Algorithms. by Xie Qiu (13243770)

Supplementary file 1_Predicting the onset of internalizing disorders in early adolescence using deep learning optimized with AI.zip by Nina de Lacy (6559520)

“…Introduction<p>Internalizing disorders (depression, anxiety, somatic symptom disorder) are among the most common mental health conditions that can substantially reduce daily life function. Early adolescence is an important developmental stage for the increase in prevalence of internalizing disorders and understanding specific factors that predict their onset may be germane to intervention and prevention strategies.…”

Flowchart of the denoising convolutional neural network metal artifact reduction hybrid reconstruction (DnCNN-MARHR) algorithm. by Tsutomu Gomi (7382183)

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Baseline one-class SVM model. by Bernhard Vennemann (7434353)

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The phases of automated BHV monitoring. by Bernhard Vennemann (7434353)

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Functional module diagram. by Fan Hongxia (21029673)

Subjects: “…artificial intelligence algorithms…”

Experimental environment. by Xutao Liu (13006965)

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Optimized system structure. by Xutao Liu (13006965)

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S1 Data - by Xutao Liu (13006965)

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