نوع المادة: كتاب

الموضوعات

Real estate business, Law and legislation.

Women slaves, Mississippi.

Real property, Maps.

Mississippi., Real property surveys

Reconstruction.

Mormon Church, History.

Education.

African Americans.

Real property, Exchange of, Mississippi.

Real property tax, Mississippi.

Freedmen, Mississippi.

Surveyors, Mississippi.

المصادر: University of Michigan

اللغة: الإنجليزية

1,903 items (5 linear feet).

ملف خارجي

نوع المادة: كتاب

الموضوعات

New Year.

Recreation., Soldiers

Plantations.

Roanoke Island (N.C.), Maps.

Funeral rites and ceremonies.

Theft.

Morale.

Health aspects., United States, Civil War, 1861-1865, History

Secession.

Ocean travel.

Military discipline.

Fredericksburg, Battle of, Fredericksburg, Va., 1862.

Politics and government., Maryland

Thanksgiving Day.

Christmas.

Military camps.

Skirmishing.

Military ethics.

Slavery.

المصادر: University of Michigan

اللغة: الإنجليزية

1 volume.

ملف خارجي

نوع المادة: كتاب

الموضوعات

Case studies., Political activists, History, Germany, 20th century

Case studies., History, Egypt, 20th century, Political psychology

History, 20th century, Case studies., Egypt, Political activists

Cognitive maps (Psychology), Case studies., Political aspects

Germany, Psychological aspects, 20th century, History, Political violence, Case studies.

Case studies., Political psychology, Germany, History, 20th century

History, 20th century, Case studies., Nonviolence, Political aspects, Germany

Political aspects, Case studies., Nonviolence, Egypt, History, 20th century

Egypt, Psychological aspects, Political violence, 20th century, Case studies., History

التصنيف:

الفلسفة والعلوم المتصلة

علم النفس

علم انفس التفاضلي

المصادر: MUSE

اللغة: الإنجليزية

التاريخ: 2016

ردمك: 9780812292015

1 online resource (pages cm)

ملف خارجي

نوع المادة: كتاب

الموضوعات

data scarce basins; runoff series; data forward prediction; ensemble empirical mode decomposition (EEMD); stopping criteria; method of tracking energy differences (MTED); deep learning; convolutional neural networks; superpixel; urban water bodies; high-resolution remote-sensing images; monthly streamflow forecasting; artificial neural network; ensemble technique; phase space reconstruction; empirical wavelet transform; hybrid neural network; flood forecasting; self-organizing map; bat algorithm; particle swarm optimization; flood routing; Muskingum model; machine learning methods; St. Venant equations; rating curve method; nonlinear Muskingum model; hydrograph predictions; flood routing; Muskingum model; hydrologic models; improved bat algorithm; Wilson flood; Karahan flood; flood susceptibility modeling; ANFIS; cultural algorithm; bees algorithm; invasive weed optimization; Haraz watershed; ANN-based models; flood inundation map; self-organizing map (SOM); recurrent nonlinear autoregressive with exogenous inputs (RNARX); ensemble technique; artificial neural networks; uncertainty; streamflow predictions; sensitivity; flood forecasting; extreme learning machine (ELM); backtracking search optimization algorithm (BSA); the upper Yangtze River; deep learning; LSTM network; water level forecast; the Three Gorges Dam; Dongting Lake; Muskingum model; wolf pack algorithm; parameters; optimization; flood routing; flash-flood; precipitation-runoff; forecasting; lag analysis; random forest; machine learning; flood prediction; flood forecasting; hydrologic model; rainfall–runoff, hybrid &; ensemble machine learning; artificial neural network; support vector machine; natural hazards &; disasters; adaptive neuro-fuzzy inference system (ANFIS); decision tree; survey; classification and regression trees (CART), data science; big data; artificial intelligence; soft computing; extreme event management; time series prediction; LSTM; rainfall-runoff; flood events; flood forecasting; data assimilation; particle filter algorithm; micro-model; Lower Yellow River; ANN; hydrometeorology; flood forecasting; real-time; postprocessing; machine learning; early flood warning systems; hydroinformatics; database; flood forecast; Google Maps

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038975489

ملف خارجي