Results 131 to 140 of about 31,077 (302)
Corporate Decarbonization via Technology and Management
ABSTRACT This study provides a comprehensive overview of key findings on decarbonization, advanced technologies, and management strategies, highlighting emerging themes shaping the field. Advanced technologies enhance carbon reduction through efficiency, real‐time monitoring, and optimizing resource optimization.
Heidy Montero‐Teran +2 more
wiley +1 more source
Root pruning has been proposed as a practical method to regulate growth and metabolite accumulation in horticultural crops, yet its physiological and metabolic consequences in hydroponically grown lettuce remain poorly understood.
Masaru Sakamoto, Takahiro Suzuki
doaj +1 more source
Preemptively pruning Clever-Hans strategies in deep neural networks
Robustness has become an important consideration in deep learning. With the help of explainable AI, mismatches between an explained model’s decision strategy and the user’s domain knowledge (e.g. Clever Hans effects) have been identified as a starting point for improving faulty models.
Lorenz Linhardt +2 more
openaire +2 more sources
Stochastic Activation Pruning for Robust Adversarial Defense [PDF]
Neural networks are known to be vulnerable to adversarial examples. Carefully chosen perturbations to real images, while imperceptible to humans, induce misclassification and threaten the reliability of deep learning systems in the wild. To guard against
Kossaifi, Jean +6 more
core
ABSTRACT Sustainable governance depends on the joint functioning of institutional quality, fiscal discipline, environmental performance, and socioeconomic inclusion. However, many composite indicators rely on subjective weighting schemes and leave the structural role of governance underspecified.
Ömer Faruk Rençber +3 more
wiley +1 more source
Alpha-Beta Pruning Verified (Invited Talk)
Alpha-beta pruning is an efficient search strategy for two-player game trees. It was invented in the late 1950s and is at the heart of most implementations of combinatorial game playing programs.
Nipkow, Tobias
core +1 more source
Abstract Applying a single parameter set to describe complex mammalian kinetics often is too simplistic, as it fails to capture sensitive cell‐to‐environment interactions that may be exploited to optimize production performance. To resolve this time dependency, intra‐experimental parameter shifts as part of design of dynamic experiments (DoDE) can be ...
Samuel Kienzle +7 more
wiley +1 more source
A novel SC decoding method of polar codes is proposed in $d$-deletion channels, where a new pruning strategy is designed to reduce decoding complexity. Considering the difference of the scenario weight distributions, pruning thresholds for each node are ...
Sun, He, Dai, Bin, Liu, Rongke
core
A Tight Integration of Pruning and Learning
This paper outlines some problems that may occur with Reduced Error Pruning in rule learning algorithms. In particular we show that pruning complete theories is incompatible with the separate-and-conquer learning strategy that is commonly used in ...
Johannes Fürnkranz +1 more
core
Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley +1 more source

