Results 121 to 130 of about 1,116,663 (238)

Surprise Marketing

Psychology &Marketing, Volume 43, Issue 8, Page 1878-1898, August 2026.
ABSTRACT Surprise marketing, characterized by unexpected tactics such as blind boxes and spontaneous discounts, captivates consumers by sparking curiosity and participation. Despite increasing industry use, scholarly research remains fragmented and limited.
Xin‐Jean Lim, Weng Marc Lim, Park Thaichon   +2 more
wiley   +1 more source

Multiobjective Optimisation for Others: How Anchoring Effects Change Based on Who Guides the Interaction

Journal of Multi-Criteria Decision Analysis, Volume 33, Issue 2, August 2026.
ABSTRACT It is common in many real‐world scenarios for decisions to be made on behalf of others. However, Multicriteria Decision Aiding methods often implicitly assume that the person whose preferences operate the methods, known as the decision‐maker, is the source of those preferences.
Maura E. Halstead, Manuel López‐Ibáñez, George Farmer, Paul A. Warren   +3 more
wiley   +1 more source

Selection hyper-heuristics for healthcare scheduling [PDF]

, 2013
A variety of approaches have been used to solve a variety of combinatorial optimisation problems. Many of those approaches are tailored to the particular problem being addressed. Recently, there has been a growing number of studies towards providing more
Banerjea-Brodeur, Monica
core  

Machine Learning-Driven Tri-Level Hyper-Heuristic Selection With Adaptive Move Acceptance for Composing Medical Crew Scheduling Problem

IEEE Access
Driven by the growing demand for adaptive and automated search control in combinatorial optimization, hyper-heuristic frameworks have become an important approach for handling heterogeneous problem instances.
Alaa Khudhair Abbas, Esam Taha Yassen
doaj   +1 more source

GA‐ANN: An Efficient Hybrid Deep Learning Scheme for Network Intrusion Detection in IoT

SECURITY AND PRIVACY, Volume 9, Issue 4, July/August 2026.
ABSTRACT Intrusion detection systems (IDS) are critical to the security of the dynamic internet of things (IoT) environment. The integration of Artificial Intelligence (AI) into IDS has substantially improved network security. Particularly, deep learning techniques have shown strong potential in addressing IoT security challenges.
Naveed Ahmed, M. Siraj Rathore, Azhar Mahmood, Muhammad Daniyal, Md Asri Ngadi   +4 more
wiley   +1 more source

Red‐Pi: A Low‐Cost Red Teaming Platform for Water Infrastructure Security Assessment

SECURITY AND PRIVACY, Volume 9, Issue 4, July/August 2026.
ABSTRACT The water and wastewater sector faces growing cyber threats due to rapid digitalization and the use of IoT‐based control systems. Many utilities manage essential services that affect public health and the environment but do not have enough cybersecurity staff and cannot afford regular security tests.
Agustin Di Bartolo, Mohammadhossein Homaei, Pablo García Rodríguez, José Carlos Sancho Núñez, Andrés Caro Lindo, María Mar Ávila Vegas   +5 more
wiley   +1 more source

A Survey of Solution Methodologies for Exam Timetabling Problems

IEEE Access
Exam timetabling is a prominent topic in academic administration management as it ensures the effective utilization of resources and satisfies the requirements and preferences of stakeholders, which leads to a productive academic environment ...
Emily Sing Kiang Siew, San Nah Sze, Say Leng Goh, Graham Kendall, Nasser R. Sabar, Salwani Abdullah   +5 more
doaj   +1 more source

Quantifying permeability of linear barriers to animal movement: The permeability R package

Methods in Ecology and Evolution, Volume 17, Issue 7, Page 2039-2051, July 2026.
Abstract Animals have always navigated environments characterized by linear features that influence movement, whether rivers, ridges or ravines. Large‐scale changes in land use have led to increasing interactions with anthropogenic features, especially roads and fences.
Nicole Barbour, Eliezer Gurarie, Allicia Kelly, James Hodson   +3 more
wiley   +1 more source

Multiobjective selection hyper-heuristics using reinforcement learning

, 2018
Considering the multiobjective nature of real-world optimisation problems requiring a search for optimal trade-off solutions, many multiobjective metaheuristics have been proposed in the scientific literature.
Li, Wenwen
core  

Toddlers’ Active Gaze Behavior Supports Self‐Supervised Object Learning

Developmental Science, Volume 29, Issue 4, July 2026.
ABSTRACT Toddlers learn to recognize objects from different viewpoints with almost no supervision. During this learning, they execute frequent eye and head movements that shape their visual experience. It is presently unclear if and how these behaviors contribute to toddlers’ emerging object recognition abilities.
Zhengyang Yu, Arthur Aubret, Marcel C. Raabe, Jane Yang, Chen Yu, Jochen Triesch   +5 more
wiley   +1 more source