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Harnessing the multimodal data integration and deep learning for occupational injury severity prediction
Most previous studies have neglected the potential of integrating structured data and
unstructured workplace injury reports to perform a predictive analysis of occupational injury …
unstructured workplace injury reports to perform a predictive analysis of occupational injury …
Contextualizing injury severity from occupational accident reports using an optimized deep learning prediction model
Background This study introduced a novel approach for predicting occupational injury
severity by leveraging deep learning-based text classification techniques to analyze …
severity by leveraging deep learning-based text classification techniques to analyze …
Prediction Performance Analysis for ML Models Based on Impacts of Data Imbalance and Bias
An imbalanced dataset is characterized by a substantial disparity in the distribution of
examples among its classes, with one class containing significantly more instances than …
examples among its classes, with one class containing significantly more instances than …
Automatic Mitosis and Nuclear Atypia Detection for Breast Cancer Grading in Histopathological Images using Hybrid Machine Learning Technique
NU Maheshwari, S SatheesKumaran - Multimedia Tools and Applications, 2024 - Springer
Invasive breast cancer is a complex global health issue and the leading cause of women's
mortality. Multiclassification in breast cancer, especially with high-resolution images …
mortality. Multiclassification in breast cancer, especially with high-resolution images …
Transformer-based Deep Learning for COVID-19 Prediction Based on Climate Variables in Indonesia.
Recent research on the effect of climate variables on coronavirus (COVID-19) transmission
has emerged. Climate change can potentially cause new viral outbreaks, illness, and death …
has emerged. Climate change can potentially cause new viral outbreaks, illness, and death …
Nanofertilizers: Transformative Solutions for Sustainable Agriculture-A Comprehensive Review
P Biswas, P Bhowmik, B Sarkar, A Chakraborty… - International Journal of …, 2025 - ijeim.in
Scientists and farmers are facing numerous, unprecedented challenges for sustainable
agriculture. Innovative ideas, technologies and tools became very essential to tackle this …
agriculture. Innovative ideas, technologies and tools became very essential to tackle this …
Precision Farming Utilizing Internet of Things, Artificial Intelligence and Automation: An Overview
P Biswas, SK Goswami - International Journal of Engineering and …, 2025 - ijeim.in
The food demand is rising enormously due to the increasing population worldwide. The
farmers' conventional practices need to be revised to meet the dietary needs of the global …
farmers' conventional practices need to be revised to meet the dietary needs of the global …
A Machine Learning Approach for Multiclass Classification of Diabetes
S Ghosh, S Halder, P Maity, S Munshi - International Journal of Engineering …, 2025 - ijeim.in
Diabetes is an increasing global health issue, with millions at risk due to factors like lifestyle,
genetics, and other health conditions. Early diagnosis is essential for timely treatment …
genetics, and other health conditions. Early diagnosis is essential for timely treatment …
Utopian Environment of Sustainable Manufacturing in Industry 5.0: A review
J Debnath, A Mukherjee, S Nath - International Journal of Engineering and …, 2025 - ijeim.in
A key sustainability concept is becoming more challenging than ever, with the increasing
population rate, energy poverty, global warming, and surging demand for products and …
population rate, energy poverty, global warming, and surging demand for products and …