Results 71 to 80 of about 475,413 (306)

A whale optimization algorithm based on atom-like structure differential evolution for solving engineering design problems

Scientific Reports
The whale optimization algorithm has received much attention since its introduction due to its outstanding performance. However, like other algorithms, the whale optimization algorithm still suffers from some classical problems.
Junjie Tang, Lianguo Wang
doaj   +1 more source

Optimization of the Complex-RFM optimization algorithm

Optimization and Engineering, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Persson, Johan, Ölvander, Johan
openaire   +4 more sources

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Optimal aggregation algorithms for middleware

Journal of Computer and System Sciences, 2001
41 pages. Preliminary version appeared in ACM PODS 2001, pp.
Fagin, Ronald, Lotem, Amnon, Naor, Moni
openaire   +3 more sources

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

A Novel Hybrid Optimization Algorithm for Materialized View Selection from Data Warehouse Environments [PDF]

, 2023
Popuri Srinivasarao, Aravapalli Rama Satish   +1 more
openalex   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

Predicting Student Performance through Machine Learning Methods: Naive Bayesian Classifier [PDF]

Journal of Artificial Intelligence and System Modelling
Education includes many aspects of knowledge, skills, impact on society, and values that shape critical thinking and personal development. Student outcomes are linked to a wide range of factors, which include teaching quality, parent involvement ...
Chenyang Li, Qianzhi Zhou, Luming Du, Sihan Zhang   +3 more
doaj   +1 more source

Optimizing a Multi-Channel ANC System for Broadband Noise Cancellation in a Telephone Kiosk Using Genetic Algorithms [PDF]

, 2009
Allahyar Montazeri, Javad Poshtan
openalex   +1 more source