DE1510182U - - Google Patents

Info

Publication number
DE1510182U
DE1510182U DENDAT1510182D DE1510182DU DE1510182U DE 1510182 U DE1510182 U DE 1510182U DE NDAT1510182 D DENDAT1510182 D DE NDAT1510182D DE 1510182D U DE1510182D U DE 1510182DU DE 1510182 U DE1510182 U DE 1510182U
Authority
DE
Germany
Prior art keywords
yiohw
xftmttttmh
wwwilhof
wimr
wcmrter
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
DENDAT1510182D
Other languages
German (de)
English (en)
Publication of DE1510182U publication Critical patent/DE1510182U/de
Active legal-status Critical Current

Links

Landscapes

  • Medicines That Contain Protein Lipid Enzymes And Other Medicines (AREA)
  • Pharmaceuticals Containing Other Organic And Inorganic Compounds (AREA)
DENDAT1510182D Active DE1510182U (OSRAM)

Publications (1)

Publication Number Publication Date
DE1510182U true DE1510182U (OSRAM)

Family

ID=813014

Family Applications (1)

Application Number Title Priority Date Filing Date
DENDAT1510182D Active DE1510182U (OSRAM)

Country Status (1)

Country Link
DE (1) DE1510182U (OSRAM)

Similar Documents

Publication Publication Date Title
Janocha et al. On loss functions for deep neural networks in classification
DE1510182U (OSRAM)
Overall et al. An S-curve model of the start-up life cycle through the lens of customer development
Parkes et al. Approximately efficient online mechanism design
CN116680569A (zh) 基于rwkv神经网络的风资源预测方法和装置
Rada-Vilela et al. Deception, blindness and disorientation in particle swarm optimization applied to noisy problems
Grossbard et al. The gender gap in citations: Lessons from demographic economics journals
Savage et al. Expert-guided Bayesian optimisation for human-in-the-loop experimental design of known systems
US20220366266A1 (en) Agent training method, apparatus, and computer-readable storage medium
Thijssen et al. Strategic investment under uncertainty and information spillovers
Modi et al. An asynchronous complete method for general distributed constraint optimization
Velan et al. Analysing bidder performance in randomised and fixed-deadline automated auctions
Mehta et al. Joining strategy for double orbit retrial queue with imperfect service and vacation under N-policy
Ohkubo et al. A novel phylogenetic comparative method for evaluating the strength of branch-specific directional selection
CN115602261B (zh) 一种基于混合模型的作物叶片氮含量遥感反演方法
Cui et al. Sampling networks and aggregate simulation for online pomdp planning
CN116634026B (zh) 网络多智能体调度计算换通信系统、方法和计算机设备
CN117009813B (zh) 样本拼接训练方法及装置
Yan et al. An algorithm for optimal cyclic scheduling in a robotic cell with flexible processing times
Andersen Using different inputs and outputs to estimate technical efficiency in fisheries: An application to Danish Seiners in the North Sea and Skagerrak
Vanegas et al. A Population Sampling Framework for Claim Reserving in General Insurance
Zhao Incomplete information and strategic learning in technology adoption and diffusion
Calcetero Vanegas et al. A Population Sampling Framework for Claim Reserving in General Insurance
CN116957096A (zh) 模型决策方法、装置、设备和存储介质
Fan et al. Knowledge Consensus in complex networks: the role of learning