نوع المادة: كتاب

الموضوعات

Willow Run., Public welfare, Michigan

Conservatism.

Elections, Michigan, 1966.

Michigan, Police, Ann Arbor.

Elections, 1964., Michigan

Presidents, 1964., United States, Election

Vietnam War, 1961-1975.

Michigan, Education, Ann Arbor.

المصادر: University of Michigan

اللغة: الإنجليزية

2 linear ft.

ملف خارجي

نوع المادة: كتاب

الموضوعات

Spanish-American War, 1898.

Military deserters.

Confederate States of America., Money

Guerrillas, Philippines.

United States, Military pensions, Spanish-American War, 1898.

Bathing customs.

Military camps.

Bull Run, 1st Battle of, Va., 1861.

Military discharge.

Food.

Finance, Personal.

المصادر: University of Michigan

اللغة: الإنجليزية

255 items (1.25 linear feet).

ملف خارجي

نوع المادة: كتاب

الموضوعات

multi-criteria decision-making; group decision-making; subcontractor evaluation; MCDM; MADM; fuzzy sets; fuzzy EDAS; multi-attribute decision making; projection model; bi-directional projection model; Pythagorean uncertain linguistic variable; rough number; rough weighted aggregated sum product assessment (WASPAS); rough analytical hierarchical process (AHP); multiple criteria decision making (MCDM); supplier; supplier selection; order allocation; multiobjective optimization; interactive approach; desirability function; Pythagorean fuzzy set; Muirhead mean; multiple criteria group decision-making; multiple attributes decision-making; group decision-making; unbalanced linguistic set; prioritized average operator; maximizing deviation model; Pythagorean fuzzy set; Muirhead mean; interaction operational laws; multi-attribute group decision-making; green supplier; rough ANP; trapezoidal fuzzy number; rough boundary interval; evidence theory; trust interval; multiple attribute decision making; linguistic cubic variable; Dombi operations; linguistic cubic variable Dombi weighted arithmetic average (LCVDWAA) operator; linguistic cubic variable Dombi weighted geometric average (LCVDWGA) operator; single-valued linguistic neutrosophic interval linguistic number; score function; weighted aggregation operator; decision making; multiple attribute decision making; nonnegative normal neutrosophic number; aggregation operator; multi-criteria decision-making; multi-hesitant fuzzy sets; aggregation operators; hesitant probabilistic fuzzy element (HPFE); Einstein operations; hesitant probabilistic fuzzy Einstein aggregation operators; multiple attribute decision making (MADM).; ANFIS; warehouse; queuing systems; logistics; uncertain group decision-making support systems; multiple criteria decision-making; reliable group decision-making; interval multiplicative preference relations; rough sets; binary discernibility matrices; deterministic finite automata; multiple-criteria decision-making (MCDM); multi-attribute decision-making (MADM); fuzzy sets; neutrosophic sets; rough sets; aggregation operators; adaptive neuro-fuzzy inference system (ANFIS)

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038976424

ملف خارجي

نوع المادة: كتاب

الموضوعات

Beaver Dam Creek, Battle of, Va., 1862.

Antietam, Battle of, Md., 1862.

Gaines’ Mill, Battle of, Va., 1862.

Fair Oaks, Battle of, Va., 1862.

Soldiers, Attitudes., Confederate States of America

Bull Run, 2nd Battle of, Va., 1862.

Military deserters, Confederate States of America.

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

Harpers Ferry, Battle of, Harpers Ferry, W. Va., 1862.

المصادر: University of Michigan

اللغة: الإنجليزية

1 volume.

ملف خارجي

نوع المادة: كتاب

الموضوعات

Confederate States of America., Prisoners of war

Military deserters, Confederate States of America.

Soldiers, Confederate States of America.

Women, Virginia.

Five Forks, Battle of, Va., 1865.

Guard duty.

Fathers, Death.

Religious poetry.

Virginia., Refugees

Shenandoah Valley Campaign, 1865.

Draft, Confederate States of America.

Shenandoah Valley Campaign, 1864 (August-November)

Draft resisters, Confederate States of America.

Bull Run, 2nd Battle of, Va., 1862.

Soldiers, United States.

المصادر: University of Michigan

اللغة: الإنجليزية

480 pages.

ملف خارجي

نوع المادة: كتاب

الموضوعات

ac/dc hybrid microgrid; adaptive droop control; autonomous operation; distributed generation; energy management system; aggregator; optimal bidding; electricity markets; probabilistic programming; microgrid; uncertainty; hierarchical game; non-cooperative game (NCG); energy trading; pricing strategy; demand response; distributed generation; microgrid; real-time simulation; consensus algorithm; diffusion strategy; distributed system; energy management system; microgrid operation; optimal operation; microgrids; renewable energy; storage; scheduling; co-generation; decision-making under uncertainty; domestic energy management system; energy flexibility; interval optimization; stochastic programming; Unit Commitment (UC); Demand Response (DR); Demand Response Unit Commitment (DRUC); Cat Swarm Optimization (CSO); average consensus algorithm (ACA); black start; local controller; microgrid (MG); multi-agent system (MAS); power system restoration (PSR); demand-side energy management; multiplier method; Powell direction acceleration method; advance and retreat method; thermal comfort; transmission line; fault localization; time series; ARIMA; discrete wavelet transformer; demand response; virtual power plant; energy flexibility potential; aggregators; business model; building energy flexibility; aggregator; clustering; demand response; distributed generation

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038977186

ملف خارجي

نوع المادة: كتاب

الموضوعات

evapotranspiration; Northeast China; MS–PT algorithm; spatial-temporal variations; controlling factors; potential evapotranspiration; vegetation remote sensing; reflectance model; spectra; leaf; copper; PROSPECT; leaf area density; terrestrial LiDAR; tree canopy; vertical structure; voxel; spatial representativeness; heterogeneity; validation; land-surface temperature products (LSTs); observations; HiWATER; remote sensing; spatiotemporal representative; cost-efficient, sampling design; heterogeneity; validation; FY-3C/MERSI; GLASS; Land surface temperature; Land surface emissivity; GPP; SIF; MuSyQ-GPP algorithm; BEPS; vegetation phenology; Tibetan Plateau; MODIS; NDVI; start of growing season (SOS); end of growing season (EOS); GLASS LAI time series; forest disturbance; disturbance index; latent heat; machine learning algorithms; plant functional type; high-resolution freeze/thaw; AMSR2; MODIS; LAI; ZY-3 MUX; GF-1 WFV; HJ-1 CCD; maize; PROSPECT-5B+SAILH (PROSAIL) model; spatial heterogeneity; variability; evapotranspiration; land surface variables; probability density function; HiWATER; spectral; albedometer; interference filter; photoelectric detector; validation; land surface albedo; multi-scale validation; rugged terrain; MRT-based model; MCD43A3 C6; precipitation; statistics methods; China; Tibetan Plateau; South China’s; drought; SPI; TMI data; crop-growing regions; downward shortwave radiation; machine learning; gradient boosting regression tree; AVHRR; CMA; BRDF; aerosol; MODIS; sunphotometer; arid/semiarid; solar-induced chlorophyll fluorescence; fluorescence quantum efficiency in dark-adapted conditions (FQE); SCOPE; Fraunhofer Line Discrimination (FLD); gross primary productivity (GPP); longwave upwelling radiation (LWUP); Visible Infrared Imaging Radiometer Suite (VIIRS); surface radiation budget; hybrid method; remote sensing; leaf age; leaf spectral properties; leaf area index; Cunninghamia; Chinese fir; canopy reflectance; NIR; EVI2; geometric optical radiative transfer (GORT) model; land surface albedo; snow-free albedo; rugged terrain; topographic effects; black-sky albedo (BSA); GPP; NPP; MODIS; validation; phenology; RADARSAT-2; rice; Synthetic Aperture Radar (SAR); decision tree; forest canopy height; aboveground biomass; ICESat GLAS; Landsat; random forest model; anisotropic reflectance; BRDF; rugged terrain; solo slope; composite slope; surface solar irradiance; geostationary satellite; polar orbiting satellite; LUT method; SURFRAD; downward shortwave radiation; daily average value; Antarctica; sinusoidal method; cloud fraction; interpolation; boreal forest; GPP; spatiotemporal distribution and variation; meteorological factors; phenological parameters; multisource data fusion; aerosol retrieval; urban scale; vegetation dust-retention; multiple ecological factors; geographical detector model; snow cover; passive microwave; FY-3C/MWRI; algorithmic assessment; China; land surface temperature; satellite observations; flux measurements; latitudinal pattern; land cover change; fractional vegetation cover (FVC); multi-data set; northern China; spatio-temporal; inter-annual variation; uncertainty; standard error of the mean; downscaling; GPP; spatial heterogeneity; remote sensing; subpixel information; LiDAR; point cloud; leaf; gap fraction; 3D reconstruction; biodiversity; remote sensing; species richness; metric comparison; metric integration; leaf area index; MODIS products; Landsat; high resolution; homogeneous and pure pixel filter; pixel unmixing; vertical vegetation stratification; gross primary production (GPP); light use efficiency; dense forest; MODIS; VPM; temperature profiles; humidity profiles; n/a; geometric-optical model; thermal radiation directionality; quantitative remote sensing inversion; scale effects; comprehensive field experiment

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038972709

ملف خارجي

نوع المادة: كتاب

الموضوعات

evapotranspiration; Northeast China; MS–PT algorithm; spatial-temporal variations; controlling factors; potential evapotranspiration; vegetation remote sensing; reflectance model; spectra; leaf; copper; PROSPECT; leaf area density; terrestrial LiDAR; tree canopy; vertical structure; voxel; spatial representativeness; heterogeneity; validation; land-surface temperature products (LSTs); observations; HiWATER; remote sensing; spatiotemporal representative; cost-efficient, sampling design; heterogeneity; validation; FY-3C/MERSI; GLASS; Land surface temperature; Land surface emissivity; GPP; SIF; MuSyQ-GPP algorithm; BEPS; vegetation phenology; Tibetan Plateau; MODIS; NDVI; start of growing season (SOS); end of growing season (EOS); GLASS LAI time series; forest disturbance; disturbance index; latent heat; machine learning algorithms; plant functional type; high-resolution freeze/thaw; AMSR2; MODIS; LAI; ZY-3 MUX; GF-1 WFV; HJ-1 CCD; maize; PROSPECT-5B+SAILH (PROSAIL) model; spatial heterogeneity; variability; evapotranspiration; land surface variables; probability density function; HiWATER; spectral; albedometer; interference filter; photoelectric detector; validation; land surface albedo; multi-scale validation; rugged terrain; MRT-based model; MCD43A3 C6; precipitation; statistics methods; China; Tibetan Plateau; South China’s; drought; SPI; TMI data; crop-growing regions; downward shortwave radiation; machine learning; gradient boosting regression tree; AVHRR; CMA; BRDF; aerosol; MODIS; sunphotometer; arid/semiarid; solar-induced chlorophyll fluorescence; fluorescence quantum efficiency in dark-adapted conditions (FQE); SCOPE; Fraunhofer Line Discrimination (FLD); gross primary productivity (GPP); longwave upwelling radiation (LWUP); Visible Infrared Imaging Radiometer Suite (VIIRS); surface radiation budget; hybrid method; remote sensing; leaf age; leaf spectral properties; leaf area index; Cunninghamia; Chinese fir; canopy reflectance; NIR; EVI2; geometric optical radiative transfer (GORT) model; land surface albedo; snow-free albedo; rugged terrain; topographic effects; black-sky albedo (BSA); GPP; NPP; MODIS; validation; phenology; RADARSAT-2; rice; Synthetic Aperture Radar (SAR); decision tree; forest canopy height; aboveground biomass; ICESat GLAS; Landsat; random forest model; anisotropic reflectance; BRDF; rugged terrain; solo slope; composite slope; surface solar irradiance; geostationary satellite; polar orbiting satellite; LUT method; SURFRAD; downward shortwave radiation; daily average value; Antarctica; sinusoidal method; cloud fraction; interpolation; boreal forest; GPP; spatiotemporal distribution and variation; meteorological factors; phenological parameters; multisource data fusion; aerosol retrieval; urban scale; vegetation dust-retention; multiple ecological factors; geographical detector model; snow cover; passive microwave; FY-3C/MWRI; algorithmic assessment; China; land surface temperature; satellite observations; flux measurements; latitudinal pattern; land cover change; fractional vegetation cover (FVC); multi-data set; northern China; spatio-temporal; inter-annual variation; uncertainty; standard error of the mean; downscaling; GPP; spatial heterogeneity; remote sensing; subpixel information; LiDAR; point cloud; leaf; gap fraction; 3D reconstruction; biodiversity; remote sensing; species richness; metric comparison; metric integration; leaf area index; MODIS products; Landsat; high resolution; homogeneous and pure pixel filter; pixel unmixing; vertical vegetation stratification; gross primary production (GPP); light use efficiency; dense forest; MODIS; VPM; temperature profiles; humidity profiles; n/a; geometric-optical model; thermal radiation directionality; quantitative remote sensing inversion; scale effects; comprehensive field experiment

المصادر: قاعدة بيانات الكتب المجانية

اللغة: الإنجليزية

التاريخ: 2019

ردمك: 9783038972761

ملف خارجي