Principle of the SVM algorithm. by Anfeng Zhu (17817144)

Algorithm structure diagram. by Gengchen Xu (20477357)

Comparison of different LSTM algorithms. by Gengchen Xu (20477357)

Description of STL-LSTM algorithm. by Gengchen Xu (20477357)

Illustration of the cell detection process. by Adam L. Tyson (10892822)

Cell classification. by Adam L. Tyson (10892822)

Flowchart of MDL model. by Feng Li (30515)

“…Specifically, MDL leverages Long Short-Term Memory (LSTM) to capture long-term dependencies in time series data and employs a meta-learning framework to transfer knowledge from multiple source task datasets for initializing the carbon emission prediction model for the target task. …”

Location of case study. by Feng Li (30515)

“…Specifically, MDL leverages Long Short-Term Memory (LSTM) to capture long-term dependencies in time series data and employs a meta-learning framework to transfer knowledge from multiple source task datasets for initializing the carbon emission prediction model for the target task. …”

Basic structure of LSTM. by Feng Li (30515)

“…Specifically, MDL leverages Long Short-Term Memory (LSTM) to capture long-term dependencies in time series data and employs a meta-learning framework to transfer knowledge from multiple source task datasets for initializing the carbon emission prediction model for the target task. …”

Number of model training iterations. by Feng Li (30515)

“…Specifically, MDL leverages Long Short-Term Memory (LSTM) to capture long-term dependencies in time series data and employs a meta-learning framework to transfer knowledge from multiple source task datasets for initializing the carbon emission prediction model for the target task. …”

Hyperparameter settings during model training. by Feng Li (30515)

“…Specifically, MDL leverages Long Short-Term Memory (LSTM) to capture long-term dependencies in time series data and employs a meta-learning framework to transfer knowledge from multiple source task datasets for initializing the carbon emission prediction model for the target task. …”

Performance comparison between MAML_LSTM and MDL. by Feng Li (30515)

“…Specifically, MDL leverages Long Short-Term Memory (LSTM) to capture long-term dependencies in time series data and employs a meta-learning framework to transfer knowledge from multiple source task datasets for initializing the carbon emission prediction model for the target task. …”

Emission factors for different energy varieties. by Feng Li (30515)

“…Specifically, MDL leverages Long Short-Term Memory (LSTM) to capture long-term dependencies in time series data and employs a meta-learning framework to transfer knowledge from multiple source task datasets for initializing the carbon emission prediction model for the target task. …”

Algorithmic assessment reveals functional implications of GABRD gene variants linked to idiopathic generalized epilepsy by Ayla Arslan (17943365)

“…Initially, separate algorithms based on sequence homology are utilized to assess this variant set. …”

Geographical map of the included empirical studies by type of integration. by Caroline A. Bulstra (6057524)

Data_Sheet_2_A Comprehensive Assessment to Enable Recovery of the Homeless: The HOP-TR Study.PDF by Coline Van Everdingen (11101863)

“…Semi-structured interviews provided the primary data source. The interview content was partly derived from the InterRAI Community Mental Health questionnaire and the “Homelessness Supplement.” …”

Data_Sheet_1_A Comprehensive Assessment to Enable Recovery of the Homeless: The HOP-TR Study.PDF by Coline Van Everdingen (11101863)

“…Semi-structured interviews provided the primary data source. The interview content was partly derived from the InterRAI Community Mental Health questionnaire and the “Homelessness Supplement.” …”

Data_Sheet_3_A Comprehensive Assessment to Enable Recovery of the Homeless: The HOP-TR Study.PDF by Coline Van Everdingen (11101863)

“…Semi-structured interviews provided the primary data source. The interview content was partly derived from the InterRAI Community Mental Health questionnaire and the “Homelessness Supplement.” …”

Results of Comprehensive weighting. by Hao Yang (328526)

“…Interpretability analysis identifies potential source energy and maximum 24-hour rainfall as primary determinants and uncovers a dual-threshold physical mechanism underlying debris flow initiation. …”

The prediction error of each model. by Hao Yang (328526)

“…Interpretability analysis identifies potential source energy and maximum 24-hour rainfall as primary determinants and uncovers a dual-threshold physical mechanism underlying debris flow initiation. …”