Tree-based machine learning models with optuna in predicting impedance values for circuit analysis
The transmission characteristics of the printed circuit board (PCB) ensure signal integrity
and support the entire circuit system, with impedance matching being critical in the design of …
and support the entire circuit system, with impedance matching being critical in the design of …
Examining optimized machine learning models for accurate multi-month drought forecasting: A representative case study in the USA
MM Hameed, SF Mohd Razali… - … Science and Pollution …, 2024 - Springer
Abstract The Colorado River has experienced a significant streamflow reduction in recent
decades due to climate change, resulting in pronounced hydrological droughts that pose …
decades due to climate change, resulting in pronounced hydrological droughts that pose …
Fully automated learning and predict price of aquatic products in Taiwan wholesale markets using multiple machine learning and deep learning methods
The aquatic market price is an essential indicator for fishermen in making decisions
regarding conveyance, fish-catching, and wholesale strategies. As a guide for the …
regarding conveyance, fish-catching, and wholesale strategies. As a guide for the …
Monitoring and forecasting water environment parameters for smart aquaculture using LSTM
The goal of the paper is to develop a system capable of automatically updating the
parameters of the water environment periodically on the website and providing forecasts of …
parameters of the water environment periodically on the website and providing forecasts of …
Predicting the tide: A deep-learning approach for understanding the whitemouth croaker prices in Northeast Brazil
VFC de França, LVS Silva, LD de Oliveira… - Regional Studies in …, 2025 - Elsevier
Seafood represents the most traded animal protein globally, with a significant contribution to
food security in emerging economies. Therefore, it is crucial to conduct studies that aim to …
food security in emerging economies. Therefore, it is crucial to conduct studies that aim to …
Prediction of Shrimp Price Based on WOA-VMD-XGBoost Algorithm and SHAP Model
Z Wu, T Qu, S Cha, C Wang, Z Zou - 2024 - evols.library.manoa.hawaii.edu
This research aims to construct a WOA-VMD-XGBoost-SHAP model to predict shrimp prices
and analyze the nonlinear effects of key predictors. Firstly, the whale algorithm (WOA) is …
and analyze the nonlinear effects of key predictors. Firstly, the whale algorithm (WOA) is …
Influencia de las barreras paraarancelarias en las exportaciones de café sin tostar ni descafeinar a Suiza en el marco del Tratado de Libre Comercio entre Perú y la …
VD Julio-Rospigliosi Porretti, DA Bernedo Callan - 2024 - repositorioacademico.upc.edu.pe
La presente investigación se centra en determinar la influencia de las barreras
paraarancelarias en las exportaciones peruanas de la partida 090111 a Suiza dentro del …
paraarancelarias en las exportaciones peruanas de la partida 090111 a Suiza dentro del …
[PDF][PDF] Facultad de Ingeniería en Mecánica y Ciencias de la Producción
IKB Moreira - 2024 - dspace.espol.edu.ec
El sector camaronero en Ecuador es una relevante fuente de ingresos, siendo el principal
producto no petrolero de exportación. No obstante, este enfrenta desafíos frente a una …
producto no petrolero de exportación. No obstante, este enfrenta desafíos frente a una …
[PDF][PDF] From Black-box to Glass-box: Comparing Methods for Explaining Machine Learning in Supply Chain Demand Forecasting
EAG Vlooswijk - pure.tue.nl
This thesis addresses the need for Explainable Artifical Intelligence (XAI) in demand
forecasting, given the adoption of complex Machine Learning (ML) models in demand …
forecasting, given the adoption of complex Machine Learning (ML) models in demand …