Results 61 to 70 of about 20,360 (272)

Parallel Implementation of Efficient Search Schemes for the Inference of Cancer Progression Models

, 2016
The emergence and development of cancer is a consequence of the accumulation over time of genomic mutations involving a specific set of genes, which provides the cancer clones with a functional selective advantage.
Antoniotti, Marco, Cazzaniga, Paolo, Mauri, Giancarlo, Nobile, Marco S., Ramazzotti, Daniele   +4 more
core   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

Nonparametric Comparison of Two Dynamic Parameter Setting Methods in a Meta-Heuristic Approach [PDF]

Journal of Systemics, Cybernetics and Informatics, 2007
Meta-heuristics are commonly used to solve combinatorial problems in practice. Many approaches provide very good quality solutions in a short amount of computational time; however most meta-heuristics use parameters to tune the performance of the meta ...
Seyhun HEPDOGAN, Reinaldo Moraga, Gail DePuy, Gary Whitehouse   +3 more
doaj  

A Guide to Bayesian Optimization in Bioprocess Engineering

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska, Emma Pajak, Katrin Rosenthal, Antonio del Rio Chanona, Eric von Lieres, Laura M. Helleckes   +5 more
wiley   +1 more source

Non-linear great deluge with learning mechanism for solving the course timetabling problem [PDF]

, 2009
International ...
Landa-Silva, D., Obit, J., Ouelhadj, Djamila, Sevaux, M.   +3 more
core   +1 more source

Sensegiving, ESG, and Firm Value: Mitigating Interpretive Uncertainty in South Korea

Business Strategy and the Environment, EarlyView.
ABSTRACT As environmental, social, and governance (ESG) becomes central to corporate strategy, firms must navigate the tension between meeting stakeholder expectations and avoiding overinvestment. This study examines how interpretive uncertainty—arising from stakeholders' divergent cognitive frames—produces a nonlinear relationship between ESG ...
Yanghee Kim, Chuljin Park, Yeonji Seo, Taewoo Roh   +3 more
wiley   +1 more source

Mind the Gap—An Empirical Analysis of the Attitude‐Behaviour Gap in Grocery Retailing

Journal of Consumer Behaviour, EarlyView.
ABSTRACT The attitude‐behaviour gap describes the mismatch between what consumers express in terms of preferences and how they actually behave when making purchase decisions. This gap is particularly relevant for organic food, where consumers often show strong positive attitudes but do not consistently buy organic products.
Kevin Ermecke, Niklas Mergner, Philipp Brüggemann, Rainer Olbrich   +3 more
wiley   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Bio-Inspired Meta-Heuristics for Emergency Transportation Problems

Algorithms, 2014
Emergency transportation plays a vital role in the success of disaster rescue and relief operations, but its planning and scheduling often involve complex objectives and search spaces. In this paper, we conduct a survey of recent advances in bio-inspired
Min-Xia Zhang, Bei Zhang, Yu-Jun Zheng
doaj   +1 more source

A Short‐Cut Design Approach to Evaluate Reboiler Designs in Vapor Recompression Scenarios

Chemie Ingenieur Technik, EarlyView.
A short‐cut model framework that incorporates mechanical vapor recompression (MVR) requirements into reboiler design is presented, which is particularly beneficial during early process development with limited data or initial feasibility assessments.
Franziska Lais, Stephan Scholl, Katharina Jasch   +2 more
wiley   +1 more source