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Rainfall as an environmental feat can change fast and yield significant influence in downstream hydr...
Recent advances in natural language processing (NLP) have been driven by pretrained language models ...
Large Language Models (LLMs) are typically used to generate free-form text. However, many applicatio...
In the world of machine learning and data science, understanding and effectively applying key classi...
Workload Characterization for Resource Optimization of Big Data Analytics: Best Practices, Trends,...
CLASSIFICATION ACCORDING TO DATA MODELS Hierarchal Model In a hierarchical data model, data are orga...
A project aimed at identifying metrics to quantitatively measure the conversational quality of text ...
Drug-resistant tuberculosis (DR-TB) has become a concern because anti tuberculosis drugs (ATD) used ...
Technological advancement has spurred financial technology growth, transforming traditional financia...
Large Language Models (LLMs) are a powerful type of artificial intelligence that can understand and ...
Wikipedia Search Large language model Article Talk Language Download PDF Watch Edit Not to be conf...
ta Analysis (EDA) EDA is a critical step in understanding the data and identifying patterns, trends...
Introduction: Generative AI is a transformative technology that enables machines to create new cont...
It is a classification technique based on Bayes’ Theorem with an independence assumption among pre...
Introduction Detection of tree leaf diseases plays a crucial role in the horticultural field. These ...
Heart failure is a critical health problem worldwide, and its prediction is a major challenge in med...
This work offers a novel method for predicting chronic kidney disease (CKD) by combining random fore...
Analysts use a wide spectrum of models, ranging from the simple to the sophisticated. These models o...
Due to the complexity and heterogeneity of autism spectrum disorder (ASD), diagnosis and categorizat...
Fine-tuning is a pivotal technique in machine learning, particularly within the realm of deep learni...
Today, the majority of data generated and processed in organizations is unstructured. NoSQL database...
In classification problems, mislabeled data can have a dramatic effect on the capability of a traine...
This study proposes a hybrid Kolmogorov-Arnold networks (KANs) and convolutional neural networks (CN...
The “You Only Look Once,” or YOLO, family of models are a series of end-to-end deep learning mod...
