Results 71 to 80 of about 605 (174)

Optimization of time modulated array antennas based on improved gray wolf optimizer

AIP Advances
With the widespread application of intelligent optimization algorithms in engineering and scientific fields, the need for their improvement and optimization is increasingly evident.
TianNing Zhu, Yan Liu, JianHui Li, WanRu Zhao   +3 more
doaj   +1 more source

Hunger Games Search Algorithm for Transient Response and Stability Enhancement of a Fractional-Order PID-Based Automatic Voltage Regulator (AVR) System

Journal of Studies in Science and Engineering
Due to its larger stability margin, better transient response, and superior robustness to system uncertainties compared to conventional PID controllers, the fractional-order PID (FOPID) controller is gaining increasing attention.
Morad Ghorab, Heba Mohamed Sharaf
doaj   +1 more source

Play in Cognitive Development: From Rational Constructivism to Predictive Processing

Topics in Cognitive Science, EarlyView.
Abstract It is widely believed that play and curiosity are key ingredients as children develop models of the world. There is also an emerging consensus that children are Bayesian learners who combine their structured prior beliefs with estimations of the likelihood of new evidence to infer the most probable model of the world.
Marc M. Andersen, Julian Kiverstein
wiley   +1 more source

Preference‐Based Representations for Collective Agency

Topics in Cognitive Science, EarlyView.
Abstract Computational accounts of learning and decision‐making in cognitive systems, and models thereof, such as reinforcement learning, typically assume that the behavior of individual agents is determined by an externally designated reward signal such that the agent's goal is the maximization of its expected accumulated reward under the state ...
Nadav Amir, Marieke van Vugt, Maia Fraser   +2 more
wiley   +1 more source

Barriers and enablers to initiating and maintaining positive dietary changes during and after pregnancy—A qualitative study of participants in the Healthy Gut Diet Study

British Journal of Health Psychology, Volume 31, Issue 3, September 2026.
Abstract Introduction The Healthy Gut Diet Study (HGD) was a pilot randomized controlled trial aiming to prevent gestational diabetes mellitus (GDM) through a gut‐friendly diet from early to mid‐pregnancy (11–18 weeks' gestation). The intervention was co‐designed with women with a lived experience of GDM and incorporated behaviour change techniques to ...
Hannah O'Connor, Shelley A. Wilkinson, Nina Meloncelli, Alita Rushton, Susan de Jersey   +4 more
wiley   +1 more source

Optimizing Supply Chain Efficiency Using Innovative Goal Programming and Advanced Metaheuristic Techniques

Applied Sciences
This paper presents an optimization approach for supply chain management that incorporates goal programming (GP), dependent chance constraints (DCC), and the hunger games search algorithm (HGSA).
Kaoutar Douaioui, Othmane Benmoussa, Mustapha Ahlaqqach   +2 more
doaj   +1 more source

Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust

Information Systems Journal, Volume 36, Issue 4, Page 597-623, July 2026.
ABSTRACT Organisations increasingly deploy conversational AI agents (CAs) in agentic roles where behavioural variations are inevitable. Prior work often conflates two distinct forms of variation: outcome variation (where success fluctuates) and process variation (where the path to completion varies).
Kambiz Saffarizadeh, Mark Keil
wiley   +1 more source

Austere Moral Ecologies and Artificial Agents

Modern Theology, Volume 42, Issue 3, Page 592-611, July 2026.
Abstract There are underappreciated moral costs for deploying artificially intelligent agents in our present bureaucratically and market‐structured world. Currently, AI systems lack the interiority and mutual vulnerability required for genuine moral relationality.
Manuel Vargas
wiley   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, Volume 13, Issue 35, 24 June 2026.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Parameters Extraction of the Three-Diode Photovoltaic Model Using Crayfish Optimization Algorithm

IEEE Access
Ongoing importance remains placed on parameter estimation in photovoltaic (PV) system design and simulation. Among the diode-based models utilized frequently are those consisting of a single diode, a double diode, and three diode.
Diaa Salama Abdelminaam, Ala Saleh Alluhaidan, Fatma Helmy Ismail, Sahar A. El-Rahman   +3 more
doaj   +1 more source