Results 101 to 110 of about 633,451 (264)

Multi‐Objective Reinforcement Learning for Automated Resilient Cyber Defence

Applied AI Letters
Cyber‐attacks pose a security threat to military command and control networks, Intelligence, Surveillance, and Reconnaissance (ISR) systems, and civilian critical national infrastructure.
Ross O'Driscoll, Claudia Hagen, Joe Bater, James Adams   +3 more
doaj   +1 more source

Model Jaringan Distribusi Produk dengan Pendekatan Fuzzy Multi Objective Programming

Jurnal Optimasi Sistem Industri
PT. Semen Padang is one of the cement producers competing to meet the needs of the cement. To that end, PT. Semen Padang must ensure the availability of cement on time, quantity, location and at competitive rates.
Suci Oktri Viarani M Viarani, Henmaidi, Alexie Herryandie Bronto Adi   +2 more
doaj   +1 more source

Targeting transcription factors associated with hemoglobinopathies: Lessons from successful interventions and implications for cancer

Molecular Oncology, EarlyView.
This review summarizes the transcription factors, repressive chromatin‐modifying complexes, and epigenetic mechanisms that control fetal hemoglobin repression. Notably, many regulators of γ‐globin silencing also function in transcriptional and epigenetic networks that drive cancer, highlighting opportunities to translate advances in hemoglobinopathy ...
Meigen Yu, Puspa Das, Xing Zhang, Xiaodong Cheng   +3 more
wiley   +1 more source

Pharmacological chromatin remodeling enhances response to estrogen therapy in ER+ breast cancer

Molecular Oncology, EarlyView.
Estrogen therapy elicits clinical benefit in ~ 30% of patients with endocrine‐resistant estrogen receptor (ER)‐positive breast cancer. Based on findings that ER transcriptional activation underlies response to estrogen therapy, we tested the effects of epigenetic dysregulation via pharmacological inhibition of histone deacetylases (HDACi).
Anneka L. Johnson Thomas, Barbara Karakyriakou, Patricia C. Muskus, Alyssa M. Roberts, Justin Rendleman, Alexa Warren, Hanxu Lu, Kimberly A. Birmingham, Malone K. Friedman, Abigail E. Goen, Huijuan Yang, Owen M. Wilkins, Fred W. Kolling, Eugene Demidenko, Julie M. Jorns, Brock C. Christensen, Todd W. Miller   +16 more
wiley   +1 more source

A Single Period Multi Objective Mathematical Model for Portfolio

مدیریت تولید و عملیات, 2015
Optimal portfolio selection and how to invest in, is one of the key issues which is considered in the capital market and should be paid attention by investors.
mehdi abzari, ahmad dadashpor, mehdi khalili, hamid jamshidi   +3 more
doaj  

Multi‐objective multi‐period optimal site and size of distributed generation along with network reconfiguration

IET Renewable Power Generation
While extensive research has focused on enhancing distribution networks through either maximizing Distributed Generation (DG) integration or network reconfiguration at specific times, there is a need for further investigation into concurrently optimal ...
Ghulam Abbas, Zhi Wu, Aamir Ali
doaj   +1 more source

Offline Multi-Objective Optimization

CoRR
Offline optimization aims to maximize a black-box objective function with a static dataset and has wide applications. In addition to the objective function being black-box and expensive to evaluate, numerous complex real-world problems entail optimizing multiple conflicting objectives, i.e., multi-objective optimization (MOO). Nevertheless, offline MOO
Ke Xue 0001, Rong-Xi Tan, Xiaobin Huang, Chao Qian 0001   +3 more
openaire   +3 more sources

Spatial biology in cancer epigenetics

Molecular Oncology, EarlyView.
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley   +1 more source

Multi‐objective evolutionary optimization for hardware‐aware neural network pruning

Fundamental Research
Neural 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, Guiying Li, Shengcai Liu, Peng Yang, Ke Tang   +4 more
doaj   +1 more source

Efficiency in Multi-objective Games [PDF]

, 2015
In a multi-objective game, each agent individually evaluates each overall action-profile on multiple objectives. I generalize the price of anarchy to multi-objective games and provide a polynomial-time algorithm to assess it. This work asserts that policies on tobacco promote a higher economic efficiency.
openaire   +2 more sources