Results 61 to 70 of about 9,216 (200)

Novel Design of Slim Mould Optimizer for the Solution of Optimal Power Flow Problems Incorporating Intermittent Sources: A Case Study of Algerian Electricity Grid

IEEE Access, 2022
Nowadays, electrical power grids are facing increased penetration of renewable energy sources (RES), which result in increasing level of randomness and uncertainties for its operational quality.
Souhil Mouassa, Ahmed Althobaiti, Francisco Jurado, Sherif S. M. Ghoneim   +3 more
doaj   +1 more source

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

Information Systems Journal, EarlyView.
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

HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting

Mathematics, 2023
Millions of people died in the COVID-19 pandemic, which pressured hospitals and healthcare workers into keeping up with the speed and intensity of the outbreak, resulting in a scarcity of ICU beds for COVID-19 patients.
Farhana Tazmim Pinki, Md Abdul Awal, Khondoker Mirazul Mumenin, Md. Shahadat Hossain, Jabed Al Faysal, Rajib Rana, Latifah Almuqren, Amel Ksibi, Md Abdus Samad   +8 more
doaj   +1 more source

Is There Fairness in AI?

Journal of Management Studies, EarlyView.
Abstract As predictive artificial intelligence (AI) technologies increasingly steer workplace decisions, debates around fairness have intensified. Existing research often approaches fairness either as a set of universal principles supported or undermined by algorithms, or as a product of social interpretations, thereby providing either technologically ...
Elmira van den Broek, Anastasia Sergeeva, Marleen Huysman   +2 more
wiley   +1 more source

Who's Feeding the Kids Online? Digital food marketing to children in Ireland: Advertisers’ tactics, children’s exposure and parents’ awareness [PDF]

, 2016
Obesity in children and young people is a global health challenge. The widespread marketing of unhealthy foods (food and non-alcoholic drinks high in fat, sugar and salt, or HFSS) plays a causal role in unhealthy eating and obesity.
Dolphin, Louise, Tatlow-Golden, Mimi, Tracey, Lynne   +2 more
core  

Leaf in Wind Optimization: A New Metaheuristic Algorithm for Solving Optimization Problems

IEEE Access
This study introduces a novel metaheuristic algorithm, Leaf in Wind Optimization, inspired by the natural phenomenon of falling leaves in the wind. The proposed method simulates the motion response of leaves in varying intensities of wind by establishing
Ning Fang, Qi Cao
doaj   +1 more source

Reading Nietzsche in an Age of Conspiracy Theories

Modern Theology, EarlyView.
Abstract This essay considers Friedrich Nietzsche's critique of Christian morality as a template for interpreting the epistemology of modern conspiracy theorists. The first section elucidates Nietzsche's notion of ressentiment as it can be applied to contemporary conspiracism. The effectiveness of this comparative assessment thus raises the question of
J.W. Olson
wiley   +1 more source

City of Uruk 3000 B.C. : using genetic algorithms, dynamic planning and crowd simulation to re-enact everyday life of ancient Sumerians [PDF]

, 2014
Virtual reality reconstructions of ancient historical sites have become a valuable technique for popularising science and visualising expert knowledge to general audiences.
Bogdanovych, Anton, Simoff, Simeon, Trescak, Tomas   +2 more
core  

A Three‐Stage Model of the Maturation of Nascent Policy Subsystems Toward Stable Advocacy Coalitions, With Evidence From the UK's Response to COVID‐19

Policy Studies Journal, EarlyView.
ABSTRACT Policy subsystems are comprised of competing advocacy coalitions, in which public and private political actors with shared belief systems learn from each other and coordinate their strategies in the pursuit of influencing policy making in their favor.
Kristijan Garic, Philip Leifeld
wiley   +1 more source

Predicting hydropower generation: A comparative analysis of Machine learning models and optimization algorithms for enhanced forecasting accuracy and operational efficiency

Ain Shams Engineering Journal
Exponential global population growth and rapid technological advancements have increased electricity demand, strained the fossil fuel-reliant energy infrastructure, and exacerbated environmental issues like greenhouse gas emissions and climate change ...
Chunyang Wang, Chao Li, Yudong Feng, Shoufeng Wang   +3 more
doaj   +1 more source