Advances in colorectal cancer diagnosis using optimal deep feature fusion approach on biomedical images [PDF]
Scientific ReportsColorectal cancer (CRC) is the second popular cancer in females and third in males, with an increased number of cases. Pathology diagnoses complemented with predictive and prognostic biomarker information is the first step for personalized treatment ...
Sultan Refa Alotaibi +5 more
doaj +2 more sources
Smart indoor monitoring for disabled individuals using an ensemble of deep learning models in an IoT environment [PDF]
Scientific ReportsIndoor activity monitoring methods assurance the well-being and security of disabled and aging individuals living in their homes. These models utilize numerous technologies and sensors to monitor day-to-day work like movement, medication adherence, and ...
Faisal S. Alsubaei +2 more
doaj +2 more sources
Elite elimination osprey optimization algorithm optimized kernel extreme learning machine for bankruptcy prediction problems. [PDF]
Sci RepThis study addresses the limitations of traditional bankruptcy prediction models, which often struggle with nonlinear financial data due to their tendency to fall into local optima, low efficiency in parameter optimization, and insufficient prediction ...
Liu W, Wu H, Wang T, Wu H.
europepmc +2 more sources
A Scalarizing One-Stage Algorithm for Efficient Multi-Objective Optimization [PDF]
, 2007 A novel kriging-assisted algorithm is proposed for computationally expensive multi-objective optimization problems, such as those which arise in electromagnetic design. The algorithm combines the multiple objectives into a single objective, which it then
Hawe, G. I. +3 more
core +2 more sources
A Multimodal Fake News Detection Model Based on Adaptive Binary Osprey Optimization Algorithm and Cross-Modal Disentangled Fusion. [PDF]
Biomimetics (Basel)With the rapid growth of social media, online news has become increasingly multimodal, combining textual and visual information, posing new challenges for fake news detection.
Dai X, Lu G, Li J.
europepmc +2 more sources
Replication Data for: eSLP optimization algorithm
, 2023 m-files implementing the eSLP optimization algorithm for the three simulations (3.1. - 3.3.) described in the associated paper. File README.txt contains analytical directions regarding requirements, how to verify the results and videos generated by the ...
Optimization, eSLP
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An island based hybrid evolutionary algorithm for optimization [PDF]
, 2008 This is a post-print version of the article - Copyright @ 2008 Springer-VerlagEvolutionary computation has become an important problem solving methodology among the set of search and optimization techniques. Recently, more and more different evolutionary
Yang, S +5 more
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An improved wind driven optimization algorithm for parameters identification of a triple-diode photovoltaic cell model [PDF]
, 2020 © 2020 Elsevier Ltd The double-diode photovoltaic cell model is insufficient to accurately characterize the different current components of a photovoltaic cell.
Ibrahim, Ibrahim Anwar +6 more
core +1 more source
Short-term Wind Power Prediction Based on Improved Dung Beetle Optimization Algorithm [PDF]
Zhengzhou Daxue xuebao. Gongxue banA short-term wind power prediction model based on POTDBO-VMD-CNN-BiLSTM was proposed to improve the accuracy of short-term wind power prediction.
JIANG Jiandong +2 more
doaj +1 more source
Fast diagnosis of motor controller faults based on OCSSA-SVMD with CNN-BiLSTM [PDF]
AIP AdvancesIn response to the problems of diverse fault types, difficult feature extraction, as well as the low accuracy and efficiency of traditional diagnostic methods for motor controllers under complex working conditions, this study proposes an intelligent ...
Changzhi Lv +4 more
doaj +1 more source