Data Sheet 1_Machine learning-based high-specificity diagnostic model for Talaromyces marneffei infection in febrile patients using routine clinical laboratory data.pdf حسب Yingjun Xiao (17603738)

"…Six classic machine learning algorithms were utilized to develop the optimal predictive model through 1000 bootstrap resamplings. …"

Image 8_Development of fully automated deep-learning-based approach for prediction of sentinel lymph node metastasis in breast cancer patients using ultrasound imaging.jpeg حسب Taixia Liu (12361996)

"…Purpose<p>This study aimed to develop a novel predicting model based on deep learning (DL) to predict sentinel lymph node (SLN) metastasis in breast cancer (BC) patients using ultrasound (US) imaging.…"

Image 6_Development of fully automated deep-learning-based approach for prediction of sentinel lymph node metastasis in breast cancer patients using ultrasound imaging.jpeg حسب Taixia Liu (12361996)

"…Purpose<p>This study aimed to develop a novel predicting model based on deep learning (DL) to predict sentinel lymph node (SLN) metastasis in breast cancer (BC) patients using ultrasound (US) imaging.…"

Image 4_Development of fully automated deep-learning-based approach for prediction of sentinel lymph node metastasis in breast cancer patients using ultrasound imaging.png حسب Taixia Liu (12361996)

"…Purpose<p>This study aimed to develop a novel predicting model based on deep learning (DL) to predict sentinel lymph node (SLN) metastasis in breast cancer (BC) patients using ultrasound (US) imaging.…"

Image 1_Development of fully automated deep-learning-based approach for prediction of sentinel lymph node metastasis in breast cancer patients using ultrasound imaging.png حسب Taixia Liu (12361996)

"…Purpose<p>This study aimed to develop a novel predicting model based on deep learning (DL) to predict sentinel lymph node (SLN) metastasis in breast cancer (BC) patients using ultrasound (US) imaging.…"

Image 7_Development of fully automated deep-learning-based approach for prediction of sentinel lymph node metastasis in breast cancer patients using ultrasound imaging.jpeg حسب Taixia Liu (12361996)

"…Purpose<p>This study aimed to develop a novel predicting model based on deep learning (DL) to predict sentinel lymph node (SLN) metastasis in breast cancer (BC) patients using ultrasound (US) imaging.…"

Image 2_Development of fully automated deep-learning-based approach for prediction of sentinel lymph node metastasis in breast cancer patients using ultrasound imaging.jpeg حسب Taixia Liu (12361996)

"…Purpose<p>This study aimed to develop a novel predicting model based on deep learning (DL) to predict sentinel lymph node (SLN) metastasis in breast cancer (BC) patients using ultrasound (US) imaging.…"

Image 9_Development of fully automated deep-learning-based approach for prediction of sentinel lymph node metastasis in breast cancer patients using ultrasound imaging.png حسب Taixia Liu (12361996)

"…Purpose<p>This study aimed to develop a novel predicting model based on deep learning (DL) to predict sentinel lymph node (SLN) metastasis in breast cancer (BC) patients using ultrasound (US) imaging.…"

Image 5_Development of fully automated deep-learning-based approach for prediction of sentinel lymph node metastasis in breast cancer patients using ultrasound imaging.png حسب Taixia Liu (12361996)

"…Purpose<p>This study aimed to develop a novel predicting model based on deep learning (DL) to predict sentinel lymph node (SLN) metastasis in breast cancer (BC) patients using ultrasound (US) imaging.…"

Image 3_Development of fully automated deep-learning-based approach for prediction of sentinel lymph node metastasis in breast cancer patients using ultrasound imaging.png حسب Taixia Liu (12361996)

"…Purpose<p>This study aimed to develop a novel predicting model based on deep learning (DL) to predict sentinel lymph node (SLN) metastasis in breast cancer (BC) patients using ultrasound (US) imaging.…"

NOISYmputer’s workflow. حسب Cécile Triay (12553642)

Data and R code related to the submitted manuscrit entitled "In situ imagery unravels resources exploitation strategies among ant communities in a tropical agrosystem" حسب Dominique Carval (20964191)

Hist-8000 sequence similarity scores are closer to the ground truth than the corresponding Sum-of-learnt-Trigrams scores. (NW, Hist-8000) and (NW, Hist-SDM12) are both higher than... حسب Frixos Papadopoulos (22001664)

Data Sheet 1_Development of intelligent tools to predict neuroblastoma risk stratification and overall prognosis based on multiphase enhanced CT and clinical features.zip حسب Wei Zhao (14321)

"…Prognostic models were constructed using a combination of multiple machine learning algorithms in conjunction with CT image features and clinical characteristics.…"

The process of optimizing RPGA by Q-Learning. حسب Yicheng Liu (2179626)

"…An innovative reinforcement learning-based parallel genetic algorithm (RPGA) is proposed for solving the model. …"

AbSet: A Standardized Data Set of Antibody Structures for Machine Learning Applications حسب Diego S. Almeida (21331501)

"…Machine learning algorithms have played a fundamental role in the development of therapeutic antibodies by being trained on data sets of sequences and/or structures. …"

Power quality control algorithms for small scale power intergration systems حسب Advocate Mlamla (20170815)

"…Incorporating renewable energy sources is the sole method to establish an environmentally friendly power generation system. …"

TreeMap 2016 Forest Type Name Algorithm (Image Service) حسب U.S. Forest Service (17476914)

"…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …"

Stage 2 Interviews: Investigating models for the development of online educational interventions حسب Glen Shearer (9834266)

الموضوعات:

Stage 1 Surveys: Survey of Australian Professionals Using Educational Technology حسب Glen Shearer (9834266)

الموضوعات: