Abstract: Accurate bus Origin-Destination (OD) identification based on public transit data is essential for route planning and service optimization. However, current research lacks evaluation metrics ...
The proliferation of dApps is increasing the attack surface for exploitable vulnerabilities in smart contracts, and thus there is a need for verifiable detection methodologies. The Random Forest ...
Tabular data—structured information stored in rows and columns—is at the heart of most real-world machine learning problems, from healthcare records to financial transactions. Over the years, models ...
We usually look to our families of origin to understand ourselves and our unconscious motivations, especially if we’ve been in therapy. Having had two psychoanalyses myself, I’ve been exploring that ...
The purpose of the study is to predict clinical responses to platelet-rich plasma (PRP) therapy in patients with knee osteoarthritis (KOA) before treatment and to identify the crucial efficacy ...
Abstract: In the context of financial risk assessment, the ability to predict bankruptcy has considerable significance in ensuring the stability of economic systems. One of the enduring challenges in ...
Complete end-to-end AI pipeline for soil disease classification from sensor data. The system achieves 85.17% accuracy with F1-macro score of 0.8472 across 7 disease classes.
Even as some instructors remain fervently opposed to chatbots, other writing and English professors are trying to improve them. Attitudes toward artificial intelligence are evolving, with some ...
ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...
ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...
├── app/ # API Entry point ├── data/ # Dataset in CSV format ├── graphs/ # Matplotlob plots/graphs ├── interface/ │ └── app.py # Gradio Frontend (The Client) ├── models/ # Saved Model Files (.joblib) ...
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