بدائل البحث:
learning optimization » learning application (توسيع البحث)
codon optimization » dog optimization (توسيع البحث), motor optimization (توسيع البحث), igdt optimization (توسيع البحث)
data learning » deep learning (توسيع البحث)
learning optimization » learning application (توسيع البحث)
codon optimization » dog optimization (توسيع البحث), motor optimization (توسيع البحث), igdt optimization (توسيع البحث)
data learning » deep learning (توسيع البحث)
-
1
Enhanced climate change resilience on wheat anther morphology using optimized deep learning techniques
منشور في 2024"…Given the ongoing challenges in agriculture, there is a belief that incorporating the latest technologies is crucial. The primary objective of this study is to explore how Deep Learning algorithms can be beneficial in categorizing agricultural records, particularly in monitoring and identifying variations in spring wheat germplasm. …"
-
2
An Improved Genghis Khan Optimizer based on Enhanced Solution Quality Strategy for Global Optimization and Feature Selection Problems
منشور في 2024"…Therefore, this process can be seen as an optimization process. The primary goals of feature selection are to decrease the number of dimensions and enhance classification accuracy in many domains, such as text classification, large-scale data analysis, and pattern recognition. …"
احصل على النص الكامل
-
3
Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas
منشور في 2024"…We conducted extensive simulations and compared our approach with two state-of-the-art models using traditional RL algorithms represented by a deep Q-network algorithm, a Particle Swarm Optimization (PSO) algorithm, and one greedy solution. …"
-
4
Deep and transfer learning for building occupancy detection: A review and comparative analysis
منشور في 2022"…This article provides an in-depth survey of the strategies used to analyze sensor data and determine occupancy. The article’s primary emphasis is on reviewing deep learning (DL), and transfer learning (TL) approaches for occupancy detection. …"
-
5
Intelligent route to design efficient CO<sub>2</sub> reduction electrocatalysts using ANFIS optimized by GA and PSO
منشور في 2022"…The primary purpose of this study is to establish a new model through machine learning methods; namely, adaptive neuro-fuzzy inference system (ANFIS) combined with particle swarm optimization (PSO) and genetic algorithm (GA) for the prediction of *CO (the key intermediate) adsorption energy as the efficiency metric. …"