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A component sizing prediction study for a series hybrid electric vehicle based on artificial neural network
Geologically-constrained GANomaly network for mineral prospectivity mapping through frequency domain training data
Geologically-constrained GANomaly network for mineral prospectivity mapping through frequency domain training data
Accommodating uncertainty in soil erosion risk assessment: Integration of Bayesian belief networks and MPSIAC model
Accommodating uncertainty in soil erosion risk assessment: Integration of Bayesian belief networks and MPSIAC model
Infomax-based deep autoencoder network for recognition of multi-element geochemical anomalies linked to mineralization
Decentralized Configuration of TSCH-Based IoT Networks for Distinctive QoS: A Deep Reinforcement Learning Approach
Minimizing Base Stations' ON/OFF Switchings in Self-Organizing Heterogeneous Networks: A Distributed Satisfactory Framework
ASSESSING CRITERIA AFFECTING SEFIDROUD IRRIGATION AND DRAINAGE NETWORKS PERFORMANCE USING TOPSIS-ENTROPY THEORY
Studying of FCL Utilization and Selection in Transmission and Sub-Transmission Network in One of the Electrical Company in Iran
Analyzing different plans for connecting distributed generators to the network considering minimum required protective equipment
Detection of COVID-19 in X-ray images by classification of bag of visual words using neural networks
Detection of COVID-19 in X-ray images by classification of bag of visual words using neural networks
Integrated Analysis of lncRNAs, mRNAs, and TFs to Identify Regulatory Networks Underlying MAP Infection in Cattle
Nodes with the highest control power play an important role at the final level of cooperation in directed networks