-
201
Optimal design of power system stabilizers using evolutionary programming
منشور في 2002"…The optimal design of power system stabilizers (PSSs) using evolutionary programming (EP) optimization technique is presented in this paper. …"
احصل على النص الكامل
احصل على النص الكامل
article -
202
-
203
The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis
منشور في 2022"…Machine learning (ML) algorithms have been used as an objective tool in screening or diagnosing voice disorders. …"
-
204
-
205
-
206
Applications of artificial intelligence in emergency and critical care diagnostics: a systematic review and meta-analysis
منشور في 2024"…<h3>Introduction</h3><p dir="ltr">Artificial intelligence has come to be the highlight in almost all fields of science. It uses various models and algorithms to detect patterns and specific findings to diagnose a disease with utmost accuracy. …"
-
207
Synergizing Remote Sensing, Geospatial Intelligence, Applied Nonlinear Analysis, and AI for Sustainable Environmental Monitoring
منشور في 2024"…The utilization of remote sensing technology enables the effective gathering of data, while GEOINT enhances the spatial analysis capabilities using modern techniques. The AI-powered Modified VGG16 model has exceptional performance in predictive modeling, allowing for the implementation of proactive management measures. …"
احصل على النص الكامل
احصل على النص الكامل
-
208
-
209
-
210
Integrated whole transcriptome and small RNA analysis revealed multiple regulatory networks in colorectal cancer
منشور في 2021"…Computational analyses using Ingenuity Pathway Analysis (IPA) identified multiple activated signaling networks in CRC, including ERBB2, RABL6, FOXM1, and NFKB networks, while functional annotation highlighted activation of cell proliferation and migration as the hallmark of CRC. …"
-
211
-
212
Optimal Routing and Scheduling in E-commerce Logistics using Crowdsourcing Strategies
منشور في 2017احصل على النص الكامل
doctoralThesis -
213
Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
منشور في 2021احصل على النص الكامل
doctoralThesis -
214
Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems
منشور في 2023"…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AAS-P&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. These hybrid MPPT controllers’ comparative performance analysis has been done in terms of tracking speed of MPP, oscillations across MPP, design complexity of controller, ability to handle fast changes of temperature values, and accuracy of MPP tracking. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
215
Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems
منشور في 2023"…The studied MPPT controllers are Adaptive Adjustable Step-based Perturb and Observe (AASP&O) controllers, Variable Step Value-Radial Basis Function Controller (VSV-RBFC), Adaptive Step Hill Climb (ASHC) based fuzzy technique, Variable P&O with Particle Swarm Optimization (VP&O-PSO), and Variable Step Grey Wolf Algorithm (VSGWA) based fuzzy logic controller. These hybrid MPPT controllers’ comparative performance analysis has been done in terms of tracking speed of MPP, oscillations across MPP, design complexity of controller, ability to handle fast changes of temperature values, and accuracy of MPP tracking. …"
-
216
-
217
Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
منشور في 2015احصل على النص الكامل
doctoralThesis -
218
Machine learning approach for the classification of corn seed using hybrid features
منشور في 2020"…The nine optimized features have been acquired by employing the correlation-based feature selection (CFS) technique with the Best First search algorithm. To build the classification models, Random forest (RF), BayesNet (BN), LogitBoost (LB), and Multilayer Perceptron (MLP) were employed using optimized multi-feature using (10-fold) cross-validation approach. …"
-
219
-
220