Results 61 to 70 of about 9,789 (258)

From Confusion to Clarity: A Multi‐Stage Process Framework for Understanding Consumer Confusion

Journal of Consumer Behaviour, EarlyView.
ABSTRACT This paper reconceptualizes consumer confusion as a multi‐stage temporal process rather than a static outcome, addressing theoretical fragmentation in existing antecedent‐consequence models. By integrating cognitive appraisal, contextual amplification, and adaptive coping within a unified framework, we explain how confusion unfolds rather than
Fatih Celik, Erdogan Koc
wiley   +1 more source

EHHM: Electrical Harmony Based Hybrid Meta-Heuristic for Feature Selection

IEEE Access, 2020
Selecting the most relevant features from a high dimensional dataset is always a challenging task. In this regard, the feature selection (FS) method acts as a solution to this problem mainly in the domain of data mining and machine learning.
Khalid Hassan Sheikh, Shameem Ahmed, Krishnendu Mukhopadhyay, Pawan Kumar Singh, Jin Hee Yoon, Zong Woo Geem, Ram Sarkar   +6 more
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

Shifting Tides: A Decade of Business Climate Adaptation and Resilience Research (2013–2023)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Climate change is causing significant disruptions to the socio‐ecological systems in which organizations operate, presenting unprecedented challenges for businesses across sectors in adapting to shifting environmental conditions and building resilience to extreme weather events.
Domenico Villano, Laura Colli, Federico Martellozzo, Sara Lombardi   +3 more
wiley   +1 more source

Practical System-on-Chip Repeater Design With Hybrid Meta-Heuristic Techniques

IEEE Access, 2018
This paper recommends a practical way to insert buffer and flop repeaters onto global signals of a complex system-on-chip (SoC). With the advent of deep sub-micrometer technology and new business environment, the market prefers a highly integrated SoC ...
Eng Keong Teh, Mohamad Adzhar Md Zawawi, Mohamed Fauzi Packeer Mohamed, Nor Ashidi Mat Isa   +3 more
doaj   +1 more source

Self‐Reported Versus Objectively Logged Social Media Use: Implications for Measurement in Eating Disorder Research

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Self‐reported frequency measures of social media use (e.g., “How often do you use social media?”) are convenient, yet their criterion validity against objective behavioral data remains largely untested in eating disorder research. We compared self‐reports of TikTok use with objective data extracted from TikTok datafiles.
Scott Griffiths, Emma Halliwell, Harish Kannan, Ben Stone, Wesley Grey, Noa Brittain, Eden Shaveet, Emily Harris   +7 more
wiley   +1 more source

PMT: Opposition-Based Learning Technique for Enhancing Meta-Heuristic Performance

IEEE Access, 2019
Meta-heuristic algorithms have shown promising performance in solving sophisticated real-world optimization problems. Nevertheless, many meta-heuristic algorithms are still suffering from a low convergence rate because of the poor balance between ...
Hammoudeh S. Alamri, Kamal Z. Zamli
doaj   +1 more source

Use of artificial intelligence in magnetic resonance imaging across the epileptic patient's journey: A meta‐analysis of four clinical applications

Epilepsia, EarlyView.
Abstract Objective The application of artificial intelligence/machine learning (AI/ML) to magnetic resonance imaging (MRI) promises to enhance and support clinical decision‐making in epilepsy. However, there currently lacks an appropriate assessment of clinical utility and study rigor of current AI/ML‐driven models that are targeted toward supporting ...
Judy Chen, Ella Sahlas, Yigu Zhou, Natalie Chen, Jim Xie, Farhan Wadia, Lorenzo Caciagli, Aristides Hadjinicolaou, Alexander G. Weil, Roy W. Dudley, Dewi V. Schrader, Andrea Bernasconi, Neda Bernasconi, Boris C. Bernhardt   +13 more
wiley   +1 more source

Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments

Energy Science &Engineering, EarlyView.
ABSTRACT The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to ...
Manoharan Premkumar, Ravichandran Sowmya, Jagarapu S. V. Siva Kumar, Mustafa Abdullah   +3 more
wiley   +1 more source

GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement [PDF]

PeerJ Computer Science
Edge computing has attracted wide attention due to its ultra-low latency services, as well as the prevalence of smart devices and intelligent applications.
Fang Han, Hui Fu, Bo Wang, Yaoli Xu, Bin Lv   +4 more
doaj   +2 more sources