Results 171 to 180 of about 47,568 (277)

Optimal water supply reservoir operation by leveraging the meta-heuristic Harris Hawks algorithms and opposite based learning technique. [PDF]

Sci Rep, 2023
Lai V, Huang YF, Koo CH, Ahmed AN, Sherif M, El-Shafie A.   +5 more
europepmc   +1 more source

Trust learning in the repeated trust game: A meta‐analytic study

British Journal of Psychology, EarlyView.
Abstract Trust involves making oneself vulnerable by relying on the expectation that others will reciprocate and act in a trustworthy manner, leading to mutual benefit. In behavioural economics and psychology, the Trust Game (TG) is a widely used paradigm to measure trust.
Caitlin Duncan, Lorena Sganzerla, Laura Kaltwasser, Isabel Dziobek   +3 more
wiley   +1 more source

Intelligent accounting optimization method based on meta-heuristic algorithm and CNN. [PDF]

PeerJ Comput Sci
Dong Y.
europepmc   +1 more source

Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review. [PDF]

Neural Process Lett, 2022
Kaveh M, Mesgari MS.
europepmc   +1 more source

Recent Advances in Multi-dimensional Packing Problems [PDF]

, 2012
Crainic, Teodor, Perboli, Guido, Tadei, Roberto   +2 more
core   +2 more sources

Adaptive Sampling for BRDF Acquisition

Computer Graphics Forum, EarlyView.
We propose a data‐driven adaptive sampling strategy that predicts the optimal sampling pattern and count for BRDF acquisition from a single image, reducing capture time while preserving quality. Abstract The bidirectional reflectance distribution function (BRDF) describes the ratio of incoming radiance to outgoing radiance for all possible pairs of ...
Behnaz Kavoosighafi, Saghi Hajisharif, Jonas Unger, Ehsan Miandji   +3 more
wiley   +1 more source

Citrus diseases detection using innovative deep learning approach and Hybrid Meta-Heuristic. [PDF]

PLoS One
Butt N, Iqbal MM, Ramzan S, Raza A, Abualigah L, Fitriyani NL, Gu Y, Syafrudin M.   +7 more
europepmc   +1 more source

Optimizing Deep Learning Model for Software Cost Estimation Using Hybrid Meta-Heuristic Algorithmic Approach. [PDF]

Comput Intell Neurosci, 2022
Ul Hassan CA, Khan MS, Irfan R, Iqbal J, Hussain S, Sajid Ullah S, Alroobaea R, Umar F.   +7 more
europepmc   +1 more source

The probabilistic heuristic in local (PHIL) search meta-strategy [PDF]

, 2005
A. Ernst, D. Ghosh, F. Glover, G. Reinelt, H. Crauwels, L. Paquete, M. Randall, P. Laarhoven van, P. Mills, R. Battiti, T. Feo   +10 more
core   +1 more source

Screening for brain‐related comorbidities in Duchenne muscular dystrophy: Construction, reliability, and validity of the BIND screener

Developmental Medicine &Child Neurology, EarlyView.
The Brain Involvement iN Dystrophinopathies (BIND) screener is an 18‐item questionnaire with strong reliability and validity for identifying potential brain‐related comorbidities in Duchenne muscular dystrophy. It allows rapid, cross‐age and cross‐country screening for both clinical and research purposes, demonstrating good sensitivity and specificity.
Ruben Miranda, Pien M. M. Weerkamp, Anna Kolesnik, Chloe Geagan, Daniela Chieffo, Mariana Suárez‐Bagnasco, David Skuse, Elizabeth Vroom, Erik H. Niks, John Vissing, Isabelle Desguerre, Volker Straub, Francesco Muntoni, Eugenio Mercuri, Jos G. M. Hendriksen, on behalf of BIND Consortium, Nathalie Angeard, Dimitrios Athanasiou, Suzie‐Ann Bakker, Nathalie Boddaert, Ellie Drummond, Chloe Durrlemann, Fernanda Fortunato, Luis Miguel García‐Moreno, Mattia Gervasi, Rosanne Govaart, Irina Guliaeva, Catherine Hankinson, Leslie Hemar, Rebecca Hendel, Hermien Kan, Leevi Kerkela, Gregory Landon, Monika Malinova, William Mandy, Federica Moriconi, Monia Pellizzari, Sarah Poncet, Elvina Sakellariou, Sergiu Siminiuc, Anna Würgler Slipsager, Lily Smythe, Pietro Spitali, Mads Peter Godtfeldt Stemmerik, Asmus Vogel, Jeanne Wolstencroft, Camilla Zanetti   +46 more
wiley   +1 more source