Overview of the wavess algorithm and R package. by Narmada Sambaturu (4989539)

The Value of Dynamic Grip Force Modulation as a Potential Biomarkerfor Hand Function Recovery Following Stroke by Kirstin-Friederike Heise (7518953)

“…</p><p dir="ltr">We used a supervised machine learning algorithm (support vector machine, SVM, with k-fold cross-validation) for binary classification of groups (stroke versus control group), task conditions (uni- versus bimanual), and to quantify the active range of motion evaluated with upper extremity Fugl-Meyer Assessment (UEFMA) within the stroke group alone.…”

Smooth function of sample size. by Muhammad Atif (2575789)

The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)

V-shaped transfer functions. by Nebojsa Bacanin (13932723)

Electrochemical Sensor to Detect Antibiotics in Milk Based on Machine Learning Algorithms by Timur A. Aliev (17275821)

“…The gradient boosting algorithm showed the best efficiency in training the machine learning model. …”

Data_Sheet_1_Branching Algorithm to Identify Bottom Habitat in the Optically Complex Coastal Waters of Atlantic Canada Using Sentinel-2 Satellite Imagery.docx by Kristen L. Wilson (9632834)

The optimal route of Berlin52 output by DSRABSQL algorithm. by Jin Zhang (53297)

The optimal route of Tsp225 output by DSRABSQL algorithm. by Jin Zhang (53297)

The optimal route of Berlin52 output by ABSQL algorithm. by Jin Zhang (53297)

The optimal route of Tsp225 output by ABSQL algorithm. by Jin Zhang (53297)

datasheet1_Robust Performance of Potentially Functional SNPs in Machine Learning Models for the Prediction of Atorvastatin-Induced Myalgia.docx by Brandon N. S. Ooi (10684527)

“…This study assesses the value of potentially functional single nucleotide polymorphisms (pfSNPs) and employs six machine learning algorithms to identify the combination of SNPs that best predict myalgia.…”

Table_1_Development and internal validation of diagnostic prediction models using machine-learning algorithms in dogs with hypothyroidism.DOCX by Andrea Corsini (12673323)

“…The aim of this study is to develop and internally validate diagnostic prediction models for hypothyroidism in dogs by applying machine-learning algorithms.</p>Methods<p>A single-institutional cross-sectional study was designed searching the electronic database of a Veterinary Teaching Hospital for dogs tested for hypothyroidism. …”

The APSO-CNN algorithm flowchart. by Ahmed Bahaa (12887063)

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Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. by Ege Altan (11768156)

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Standard benchmark 28 test functions. by Qianhang Du (13410314)

Performance metrics comparison of various algorithms. by Parthiban Aravamudhan (15338781)

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Overall accuracy comparison for different algorithms. by Parthiban Aravamudhan (15338781)

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Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the... by Gursimran Singh (575288)

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PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset. by Gursimran Singh (575288)

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