Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...
Abstract: This paper studies the use of deep-learning models (AlexNet, VggNet, ResNet) pre-trained on object categories (ImageNet) in applied texture classification problems such as plant disease ...
As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
Target built a generative AI system to improve marketing campaign forecasting by retrieving and ranking similar historical ...
An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...
Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...
Retrieval-augmented generation enhances the performance of AI agents by expanding their recall. It can do this in three ...
The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...
LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results