[HTML][HTML] Advancing Solar Power Forecasting: Integrating Boosting Cascade Forest and Multi-Class-Grained Scanning for Enhanced Precision
Accurate solar power generation forecasting is paramount for optimizing renewable energy
systems and ensuring sustainability in our evolving energy landscape. This study introduces …
systems and ensuring sustainability in our evolving energy landscape. This study introduces …
[PDF][PDF] Optimizing Solar Radiation Prediction: A Meta-Learning-Based VotingRegressor Approach
A Alameen - 2024 - preprints.org
The growing global reliance on renewable energy underscores the need for accurate solar
radiation forecasting, a key component in optimizing solar power generation, energy …
radiation forecasting, a key component in optimizing solar power generation, energy …
[PDF][PDF] Machine Learning Approaches for Energy-Aware Resource Allocation in Multi-Carrier NOMA
M Blessing - 2024 - researchgate.net
The increasing demand for energy-efficient communication systems has prompted the
exploration of advanced resource allocation techniques, particularly in the context of Non …
exploration of advanced resource allocation techniques, particularly in the context of Non …
[PDF][PDF] Advanced Detection of XSSDS Attacks Using Machine Learning
M Blessing - 2024 - researchgate.net
The rise of web-based applications has led to an increase in cyber threats, particularly Cross-
Site Scripting (XSS) attacks, which can severely compromise user data and application …
Site Scripting (XSS) attacks, which can severely compromise user data and application …
[PDF][PDF] Classification of palm trees diseases using convolution neural network
J Olusegun - 2024 - researchgate.net
Palm trees are integral to various ecosystems and economies, yet they are susceptible to
numerous diseases that threaten their health and productivity. Early and accurate diagnosis …
numerous diseases that threaten their health and productivity. Early and accurate diagnosis …
[PDF][PDF] Future Prospects of Field Robots in Precision Agriculture: A Perspective Study Using Enhanced Fuzzy MADM
M Blessing - 2024 - researchgate.net
Field robots are increasingly being recognized as pivotal tools in precision agriculture,
offering automated solutions to labor-intensive and complex agricultural tasks. This paper …
offering automated solutions to labor-intensive and complex agricultural tasks. This paper …
[PDF][PDF] Modified M‐RCNN approach for abandoned object detection in public places
M Blessing - researchgate.net
The detection of abandoned objects in public spaces poses significant challenges for urban
safety and security management. This paper presents a modified Mask Regionbased …
safety and security management. This paper presents a modified Mask Regionbased …
[PDF][PDF] Bias Detection and Mitigation in Credit Scoring Using Deep Learning
M Blessing - researchgate.net
Credit scoring systems play a crucial role in financial decision-making, yet they are often
subject to biases that can lead to unfair treatment of certain demographic groups. This paper …
subject to biases that can lead to unfair treatment of certain demographic groups. This paper …
[PDF][PDF] Ethical Implications of AI-driven Lending Practices
M Blessing - researchgate.net
The rise of artificial intelligence (AI) in lending practices has transformed the financial
landscape, enhancing efficiency and accessibility. However, these advancements raise …
landscape, enhancing efficiency and accessibility. However, these advancements raise …