Results 71 to 80 of about 872,112 (308)
A multi-objective optimization for UWB antenna array in indoor environment [PDF]
[[abstract]]In this paper, a uniform circular antenna array (UCAA) combining genetic algorithm (GA) to find out global maximum of multi-objective function in indoor ultra-wideband (UWB) communication system is proposed.
[[corresponding]]Chiu, C. C. +1 more
core +1 more source
Next‐generation proteomics improves lung cancer risk prediction
Molecular Oncology, EarlyView.This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj +4 more
wiley +1 more source
Recent advances in multi-objective whale optimization algorithm, its versions and applications
Journal of King Saud University: Computer and Information SciencesMulti-objective optimization (MO) addresses problems involving multiple conflicting objectives, requiring effective techniques to identify Pareto optimal solutions. Among the numerous MO approaches, the Multi-Objective Whale Optimization Algorithm (MOWOA)
Sharif Naser Makhadmeh +5 more
doaj +1 more source
Multi‐objective evolutionary optimization for hardware‐aware neural network pruning
Fundamental ResearchNeural network pruning is a popular approach to reducing the computational complexity of deep neural networks. In recent years, as growing evidence shows that conventional network pruning methods employ inappropriate proxy metrics, and as new types of ...
Wenjing Hong +4 more
doaj +1 more source
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Feature learning in feature-sample networks using multi-objective optimization
, 2017 Data and knowledge representation are fundamental concepts in machine learning. The quality of the representation impacts the performance of the learning model directly.
Tinós, Renato +2 more
core +1 more source
LDAcoop: Integrating non‐linear population dynamics into the analysis of clonogenic growth in vitro
Molecular Oncology, EarlyView.Limiting dilution assays (LDAs) quantify clonogenic growth by seeding serial dilutions of cells and scoring wells for colony formation. The fraction of negative wells is plotted against cells seeded and analyzed using the non‐linear modeling of LDAcoop.
Nikko Brix +13 more
wiley +1 more source
Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes [PDF]
, 2016 Student-$t$ processes have recently been proposed as an appealing alternative non-parameteric function prior. They feature enhanced flexibility and predictive variance.
Couckuyt, Ivo +2 more
core +2 more sources
Multi-objective integrated optimization study of Prefabricated building projects introducing sustainable levels [PDF]
, 2022 Junlong Peng +3 more
openalex +1 more source
Molecular Oncology, EarlyView.Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee +8 more
wiley +1 more source