Results 151 to 160 of about 1,489 (264)

Merger Efficiency and Coordinated Effects: Nothing to Sneeze at? Evidence From Cough and Cold Medicines in the Philippines

open access: yesSouthern Economic Journal, EarlyView.
ABSTRACT We investigate the competitive effects of a merger in the cough and cold medicines segment between GlaxoSmithKline (GSK) and Pfizer. The parties offered efficiency gains, and authorities concluded the merger would not lessen competition. Using product‐level data from the Philippines, we estimate a structural demand model to assess efficiency ...
Farasat A. S. Bokhari   +3 more
wiley   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

open access: yessteel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla   +12 more
wiley   +1 more source

Neural networks for structured grid generation. [PDF]

open access: yesSci Rep
Khairullin B, Rykovanov S, Zagidullin R.
europepmc   +1 more source

Local Linearity Analysis of Deep Learning CT Denoising Algorithms. [PDF]

open access: yesProc SPIE Int Soc Opt Eng, 2022
Li J   +7 more
europepmc   +1 more source

Reverse engineering strut‐and‐tie models for assessing reinforced concrete structures

open access: yesStructural Concrete, EarlyView.
Abstract Strut‐and‐tie models enable the design of reinforced concrete structures with static or geometrical discontinuities, providing interpretability and control over the load path. These models are valuable for designing discontinuity regions of new structures and for validating nonlinear finite‐element analysis results. However, developing a strut‐
Karin Yu, Walter Kaufmann
wiley   +1 more source

Convergent Interval Confirmation for Three‐Step Discrete Specific Zeroing Neural Dynamics Illustrated With Repetitive Motion Planning of Redundant Manipulators

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Repetitive motion planning (RMP) for redundant manipulators with high convergent precision becomes an intense research topic due to its more degrees of freedom. In this paper, a specific zeroing neural dynamics (SZND) model for the RMP is first set up via zeroing neurodynamics.
Ying Kong   +3 more
wiley   +1 more source

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