Solar Panel anomaly detection using StackNet Model
https://doi.org/10.65770/BZZF2385 ABSTRACT Solar panel faults can significantly reduce energy output and reliability in renewable energy systems. Traditional fault detection methods ...
Tag: Deep learning
Attention Convolutional Neural Network Model Estimation of Solar Energy Potential Using Radiance Sky Imagery
https://doi.org/10.65770/VVBQ3503 ABSTRACT The rapid growth of renewable energy adoption has heightened the need for accurate solar energy prediction to ensure ...
The Use of Artificial Intelligence in the Diagnosis and Treatment of Cardiovascular Disease – Breakthroughs 2024
ABSTRACT The integration of artificial intelligence (AI) in cardiology has significantly transformed diagnostic and preventive strategies in cardiovascular medicine. In ...
A Review of Deep Learning Applications in Patient Flow Management and Healthcare Operations
ABSTRACT Patient flow management and healthcare operations are critical aspects of hospital administration, directly impacting service efficiency, resource allocation, and ...
A Privacy-Preserving AI Model for Autonomous Detection and Masking of Sensitive User Data in Contact Center Analytics
ABSTRACT In the era of digital transformation, contact centers have increasingly adopted artificial intelligence (AI) to streamline customer service operations ...
Leveraging the Effectiveness of Interpretability in Malaria Cell Image Classification using Depthwise Inception Residual Model
ABSTRACT Malaria, caused by Plasmodium parasites, remains a critical global health issue, particularly in tropical regions. Traditional microscopic diagnosis is ...
A Comprehensive study: – Sarcasm detection in sentimental analysis
ABSTRACT Sarcasm detection is one of the active research area in sentimental analysis. However this paper talks about one of ...
A comprehensive review of smart animal husbandry: Its data, applications, techniques, challenges and opportunities
ABSTRACT Smart systems have momentously changed the traditional methods of animal husbandry as a practice of raising livestock in the ...
Features-Based Individual Cattle Instance identification Method Using Hybrid Deep Learning Models for Sustainable Livestock Management
ABSTRACT In this paper, individual cattle instances are identified based on their characteristic features using hybrid of Mask R-CNN and ...
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