Results 61 to 70 of about 836,282 (224)
Intein‐based modular chimeric antigen receptor platform for specific CD19/CD20 co‐targeting
Molecular Oncology, EarlyView.CARtein is a modular CAR platform that uses split inteins to splice antigen‐recognition modules onto a universal signaling backbone, enabling precise, scarless assembly without re‐engineering signaling domains. Deployed here against CD19 and CD20 in B‐cell malignancies, the design supports flexible multi‐antigen targeting to boost T‐cell activation and
Pablo Gonzalez‐Garcia +9 more
wiley +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
A Multi Objective Optimization Approach for Resources Procurement of Bank [PDF]
Journal of Optimization in Industrial Engineering, 2010 Calculating total cast of bank resources procurement methods which include current -free loan deposit, saving interest-free loan deposit, regular and net short-term investment deposit, long-term investment deposit and surety bond cash deposit and ...
amir mohammad-zadeh +3 more
doaj
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
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 global optimization for hydrologic models [PDF]
, 1998 The development of automated (computer-based) calibration methods has focused mainly on the selection of a single-objective measure of the distance between the model-simulated output and the data and the selection of an automatic optimization algorithm ...
Gupta, HV, Sorooshian, S, Yapo, PO
core +1 more source
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
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