Results 101 to 110 of about 13,500,255 (277)
AI is transforming TPD by improving the design, prediction, and optimization of degraders such as PROTACs, molecular glues, and LYTACs. This review summarizes key AI‐driven advances, highlights applications across drug discovery stages, and discusses remaining challenges and future directions for accelerating the development of therapies against ...
Shuanglin Qin +10 more
wiley +1 more source
We delimit the convergence frontier of sparse–matrix quasi-Newton algorithms for rock-blasting simulations. Lip- schitz/Hölder bounds yield Kantorovich radii that mark when the secant matrix preserves contraction.
Fabian León +4 more
doaj +1 more source
LEARNING ALGORITHM EFFECT ON MULTILAYER FEED FORWARD ARTIFICIAL NEURAL NETWORK PERFORMANCE IN IMAGE CODING [PDF]
One of the essential factors that affect the performance of Artificial Neural Networks is the learning algorithm. The performance of Multilayer Feed Forward Artificial Neural Network performance in image compression using different learning algorithms is
OMER MAHMOUD +2 more
doaj
This thesis discusses optimisation, specifically Quasi-Newton Methods. We discuss the tools used and needed for Quasi-Newton Methods and how they are applied. We go into detail on two specific Quasi-Newton Methods and their properties.
Mathew, Joshua
core
A Novel Approach to Energy Management in Electric Steelworks
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
Computing the Projection on the Intersection of Linear Equality and Cardinality Constraints
In this paper, we introduce a novel approach to solve the vector projection problem under linear equality and cardinality constraints, termed the Quasi-Newton Lagrangian method. This approach employs a Lagrangian transformation to address linear equality
Xiao-Jing Wang, Zhen-Sheng Yu
doaj +1 more source
Computational strategies for the solution of large nonlinear problems via quasi-newton methods [PDF]
The usefulness of quasi-Newton methods for the solution of nonlinear systems of equations is demonstrated. After a review of the Newton iterative method, several quasi-Newton updates are presented and tested.
Geradin, M., Hogge, M., Idelsohn, Sergio
core
Abstract This study investigates the numerical modeling of internal tendon breaks in prestressed concrete structures and evaluates the key parameters affecting accuracy. A combined approach is followed, involving global sensitivity analysis via the Elementary Effects Method and subsequent model calibration using experimental data from distributed fiber‐
Aeneas Paul, David Sanio, Peter Mark
wiley +1 more source
Simplified analysis of concentrically loaded reinforced concrete columns
Abstract Reinforced concrete columns subjected to concentric and eccentric compression loads are typically treated in an identical manner, taking into account both the imperfect shape, creep, and the second order effects, as described for example in fib Model Code 2020 and Eurocode 2.
Lili Eszter Hlavicka‐Laczák +1 more
wiley +1 more source
Estimating crippling loss from hunting with multistate models: a case study on northern bobwhites
Hunting as a recreational pursuit provides an important ecosystem service worldwide. Harvest management plays a vital role in regulating wildlife take to ensure long‐term population sustainability and meet value‐based objectives (e.g. hunter satisfaction). However, managers rarely have complete control or observability of harvest mortality.
Amanda S. Cramer +10 more
wiley +1 more source

