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IEEE18d
NURBS values based on multi-objective particle swarm optimization algorithm for optimal power flow problem in power system
Abstract: The research on Optimal Power Flow (OPF) problems in power systems has undergone ... curve concept into the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm can significantly ...
Frontiers22d
A machine learning-based detection, classification, and quantification of marine litter along the central east coast of India
For the machine learning approach ... several previous object detection algorithms and showed strong agreement with traditional survey data, indicating its potential integration into long-term marine ...
GitHub22d
Machine learning: Neural network profiler
This code example demonstrates how to run through the ModusToolbox™ machine learning (ModusToolbox™-ML) development flow with PSoC™ 6 MCU, where the end user has a pre-trained neural network (NN) ...
IEEE28d
QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems
The promising results obtained from applying the proposed quantum algorithm, which integrates the quantum neural network (QNN) and the quantum support vector machine (QSVM), to ... of QSVM with the ...
Nieman Journalism Lab28d
How this year’s Pulitzer awardees used AI in their reporting
Rather, reporters I spoke to who worked on these stories primarily used machine learning techniques that preceded the ... developed a custom image-recognition algorithm. He fed land titles and land ...
Medical Xpress29d
A machine learning tool can help with diagnosing, monitoring colorectal cancer
More information: Rui Xu et al, Novel machine‐learning bioinformatics reveal distinct metabolic alterations for enhanced colorectal cancer diagnosis and monitoring, iMetaOmics (2025).