Results 71 to 80 of about 6,937 (265)

Context‐centric proactive information delivery for Knowledge Work support: Opportunities, challenges, and directions. An Annual Review of Information Science and Technology (ARIST)

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Context‐centric proactive information delivery (PID) is a relatively underexplored domain within recommender systems (RS) aimed at enhancing Knowledge Workers' productivity by proactively providing relevant information during digital tasks.
Mahta Bakhshizadeh, Christian Jilek, Markus Schröder, Heiko Maus, Andreas Dengel   +4 more
wiley   +1 more source

Dynamic programming with meta-reinforcement learning: a novel approach for multi-objective optimization

Complex & Intelligent Systems
Multi-objective optimization (MOO) endeavors to identify optimal solutions from a finite array of possibilities. In recent years, deep reinforcement learning (RL) has exhibited promise through its well-crafted heuristics in tackling NP-hard combinatorial
Qi Wang, Chengwei Zhang, Bin Hu
doaj   +1 more source

Nurse Scheduling with Opposition-Based Parallel Harmony Search Algorithm

Journal of Intelligent Systems, 2019
One of the advances made in the management of human resources for the effective implementation of service delivery is the creation of personnel schedules.
Cetin Yagmur Ece, Sarucan Ahmet
doaj   +1 more source

Beyond the Outburst: Charting a New Frontier for Understanding and Treating Irritability in Autistic Adults

Autism Research, EarlyView.
ABSTRACT Irritability is a prevalent and impairing feature associated with autism, yet remains poorly understood, particularly in adults. Drawing heavily on insights translated from pediatric and transdiagnostic literatures, we propose that irritability in autistic individuals often reflects a psychophysiological stress or threat response, rooted in a ...
Hsiang‐Yuan Lin, Arthur N. Westover, Amy S. F. Lutz, Manish K. Jha   +3 more
wiley   +1 more source

Exploiting heterogeneity for cost efficient 5G base station deployment using meta‐heuristics

IET Networks, 2020
A key concern in the design of 5G is the radio access network, which is expected to be significantly denser and more advanced, with considerably higher infrastructure and power consumption cost than that of conventional mobile network standards.
David Aondoakaa, John Comas, Stephen Swift   +2 more
doaj   +1 more source

Form flows function: Learner‐centered game Re‐design in a STEM classroom

British Educational Research Journal, EarlyView.
Abstract Re‐designing games facilitates interest‐driven learning and immerses learners in systems thinking. However, there are limited studies exploring how the form and function of tabletop games influence learners' design decisions and learning experiences. To address this gap, we conducted a mixed‐methods study in a STEM classroom in western Canada.
Farzan Baradaran Rahimi, Beaumie Kim, Shima Dadkhahfard   +2 more
wiley   +1 more source

Energy loss optimization of run-off-road wheels applying imperialist competitive algorithm

Information Processing in Agriculture, 2014
The novel imperialist competitive algorithm (ICA) has presented outstanding fitness on various optimization problems. Application of meta-heuristics has been a dynamic studying interest of the reliability optimization to determine idleness and ...
Hamid Taghavifar, Aref Mardani
doaj   +1 more source

Animal empathy reconsidered: a multidimensional profile account

Biological Reviews, EarlyView.
ABSTRACT Empathy is the glue that holds societies together and yet several fundamental questions about empathy persist. What is empathy (the definitional question)? Is it uniquely human and, if not, which nonhuman animals possess empathy (the distribution question)? Which type or quality of empathy is realized in different species (the quality question)
Albert Newen, Maja Griem, Ludwig Huber, Thomas Bugnyar, Aaron Blaisdell, Simone Pika   +5 more
wiley   +1 more source

Optimized Path-Planning in Continuous Spaces for Unmanned Aerial Vehicles Using Meta-Heuristics

IEEE Access, 2020
This work presents a novel path-planning approach for Unmanned Aerial Vehicles (UAVs) in continuous 3D environments. This proposal aims to minimize the path length while avoiding collisions through the suitable adjusting of control points (the points ...
Geovanni Flores-Caballero, Alejandro Rodriguez-Molina, Mario Aldape-Perez, Miguel Gabriel Villarreal-Cervantes   +3 more
doaj   +1 more source

When Collaboration Bridges or Breaks: A Systematic Review of Emerging Trends in Supply Chain Resilience and Sustainability

Business Strategy and the Environment, EarlyView.
ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia, Luca Urciuoli   +1 more
wiley   +1 more source