Hybrid framework combining grey system model with Gaussian process and STL for CO2 emissions forecasting in developed countries
Accurate forecasting of carbon dioxide (CO 2) emissions is crucial for achieving carbon
neutrality early, as CO 2 is the primary component of greenhouse gases. The time series of …
neutrality early, as CO 2 is the primary component of greenhouse gases. The time series of …
[HTML][HTML] Choosing the appropriate deep learning method: A systematic review
The effectiveness of deep learning in completing tasks comprehensively has led to a rapid
increase in its usage. Deep learning encompasses numerous diverse methods, each with its …
increase in its usage. Deep learning encompasses numerous diverse methods, each with its …
[HTML][HTML] Optimizing machine learning for agricultural productivity: A novel approach with RScv and remote sensing data over Europe
SBHS Asadollah, A Jodar-Abellan, MÁ Pardo - Agricultural Systems, 2024 - Elsevier
CONTEXT Accurate estimating of crop yield is crucial for developing effective global food
security strategies which can lead to reduce of hunger and more sustainable development …
security strategies which can lead to reduce of hunger and more sustainable development …
[HTML][HTML] A multi-appointment patient scheduling system with machine learning and optimization
Appointment scheduling is critical to increasing resource utilization and operational
performance in various industry domains, especially healthcare. Costs to care for several …
performance in various industry domains, especially healthcare. Costs to care for several …
Efficient super-resolution of pipeline transient process modeling using the Fourier Neural Operator
J Gong, G Shi, S Wang, P Wang, B Chen, Y Chen… - Energy, 2024 - Elsevier
The rapid simulation of pipelines significantly facilitates tasks such as pipeline operation
scheduling and optimization, while neural networks can offer an efficient alternative …
scheduling and optimization, while neural networks can offer an efficient alternative …
Heart disease prediction using novel Ensemble and Blending based Cardiovascular Disease Detection Networks: EnsCVDD-Net and BlCVDD-Net
Cardiovascular Diseases (CVDs) have emerged as a significant physiological condition,
being a primary contributor to mortality. Timely and precise diagnosis of heart disease is …
being a primary contributor to mortality. Timely and precise diagnosis of heart disease is …
[HTML][HTML] A Fast Operation Method for Predicting Stress in Nonlinear Boom Structures Based on RS–XGBoost–RF Model
Q Dong, Y Su, G Xu, L She, Y Chang - Electronics, 2024 - mdpi.com
The expeditious and precise prediction of stress variations in nonlinear boom structures is
paramount for ensuring the safe, dependable, and effective operation of pump trucks …
paramount for ensuring the safe, dependable, and effective operation of pump trucks …
Age Specific Analysis on Multiclass Sequential Curated-Electronic Health Records (MSC-EHR) for CAD Survival Prediction using Deep Learning Techniques
Smita, E Kumar - SN Computer Science, 2024 - Springer
Early risk assessment is essential for addressing cardiovascular disease, a major healthcare
issue. Accurate diagnosis is essential for prompt medical care and medication. Deep …
issue. Accurate diagnosis is essential for prompt medical care and medication. Deep …
Predictor Model for Chronic Kidney Disease using Adaptive Gradient Clipping with Deep Neural Nets.
N Sharma, P Lalwani - International Journal of Advanced …, 2024 - search.ebscohost.com
This research aims to develop computer vision based predictive model for the three
prominent kidney ailments namely Cyst, Stone, and Tumor which are common renal …
prominent kidney ailments namely Cyst, Stone, and Tumor which are common renal …
Analyzing Bi-directional LSTM Networks for Cardiac Arrest Risk Assessments
CP Lora, MM Rekha - 2024 2nd International Conference on …, 2024 - ieeexplore.ieee.org
this paper examines the usage of a bi-directional lengthy brief period memory (LSTM)
network to assess the hazard of cardiac arrest in a populace of elderly individuals. Firstly …
network to assess the hazard of cardiac arrest in a populace of elderly individuals. Firstly …