Results 111 to 120 of about 65,434 (314)
Kinetic–energetic projection of time‐resolved photoluminescence reveals that charge‐transfer injection acts as a universal bottleneck in organic solar cells. A physics‐constrained Bayesian framework identifies an emergent effective CT injection rate governing the trade‐off between charge generation and nonradiative energy loss.
Rong Wang +16 more
wiley +1 more source
Data Clustering on Breast Cancer Data Using Firefly Algorithm with Golden Ratio Method
Heuristic methods are problem solving methods. In general, they obtain near-optimal solutions, and they do not take the care of provability of this case.
DEMIR, M., KARCI, A.
doaj +1 more source
Decision Algorithm for Heuristic Donor-Recipient Matching
This paper introduces the application of artificial intelligence paradigm towards precision medicine in renal transplantation. The match of the optimal donor-recipient pair in kidney transplantation in Latvian Transplant Centre (LTC) has been constrained
Ivars Namatevs, Ludmila Aleksejeva
doaj +1 more source
An optimizing heuristic algorithm for schedule table of FF system
FF is one of the most important Fieldbus by their character of adopting schedule table to control the real-time communication of remote messages. In this paper, to improve the performance of aperiodic message transfers, an algorithm is proposed to ...
Yu HB(于海斌) +3 more
core
Challenges and enablers in fluidization technology
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley +1 more source
A Synthesized Heuristic Task Scheduling Algorithm
Aiming at the static task scheduling problems in heterogeneous environment, a heuristic task scheduling algorithm named HCPPEFT is proposed. In task prioritizing phase, there are three levels of priority in the algorithm to choose task.
Yanyan Dai, Xiangli Zhang
doaj +1 more source
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho +4 more
wiley +1 more source
A Genetic Algorithm to Minimize the Total Tardiness for M-Machine Permutation Flowshop Problems
The m-machine, n-job, permutation flowshop problem with the total tardiness objective is a common scheduling problem, known to be NP-hard. Branch and bound, the usual approach to finding an optimal solution, experiences difficulty when n exceeds 20. Here,
Chia-Shin Chung +3 more
doaj +1 more source
An Improved Heuristic Attribute Reduction Algorithm Based on Information Entropy in Rough Set [PDF]
Sumin Yang +3 more
openalex +1 more source
A new heuristic algorithm for fast k-segmentation [PDF]
Sabarish Vadarevu, Vijay Karamcheti
openalex +1 more source

