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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26Cited by 0

Discriminating global ore deposit genetic types using chalcopyrite trace elements: Insights from interpretable machine learning

H. Li, Ming-Yu Cao, Ben Qin, Peng-Fei Wang, Le Wang

"Supplementary Table.xlsx" Trace element data of chalcopyrite sulfides and other supplementary tables related to the manuscript. "Code files" Modeling and application code related to the manuscript. Please refer to the manuscript and README.txt for details.

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

Event-Based Prediction of Liquidity Sweep Dynamics in XAUUSD Using Machine Learning

Vanshvardhan Sharma

This paper develops a machine learning framework for detecting and predicting liquidity sweep events in XAUUSD using event-based market microstructure analysis. Using 15-minute data from 2014–2024, the study formalizes liquidity sweeps as a binary classification problem evaluated…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

Interpretable machine-learning risk stratification at diagnosis for 3-year mortality in de novo metastatic prostate cancer (SEER): reproducibility code

Xin Wang, Guanglei Yao, Wei Ding

This archive contains the analysis code, the predictor dictionary, and the retrained primary model objects underlying the manuscript "Interpretable machine-learning risk stratification at the time of diagnosis for 3-year mortality in de novo metastatic prostate cancer: developmen…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-26

Data and code for: Frequent Mental Distress Across Texas Census Tracts: Social-Environmental Co-Exposure, Spatial Dependence, and Interpretable Machine Learning

kwadwo Frimpong

This repository contains the processed analytic dataset and analysis code supporting the study "Environmental Co-Exposure, Green Space, and Frequent Mental Distress in Texas Census Tracts: An Interpretable Machine Learning and Spatial Analysis." The dataset includes tract-level f…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

Resume Ranking Engine Using Machine Learning and Natural Language Processing for Automated Candidate Screening

V. Satish Mantripragada Akshaya Pranathi

Organizations often receive hundreds of resumes for a single job opening, making manual candidate screening slow and difficult to manage. Conventional recruitment methods generally depend on keyword matching or manual evaluation, both of which may overlook qualified applicants be…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

Suspicious Activity Detection Using Machine Learning

Jyoti Neeli, S V Shwetha, H M Rakshitha, Nuthan

Abstract: Video surveillance has become a critical component in today's world. With developments in advanced systems have been developed as a result of the precision and efficacy of deep learning, machine learning, and artificial intelligence to identify and identify questionable…

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openalexZenodo (CERN European Organization for Nuclear Research)2026-07-24

PromptShield AI: A Multi-Agent Architecture for Intelligent Prompt Injection and Jailbreak Attack Detection Using Machine Learning

Jahnavi Somaraju, N. Sree Charan, M. Mythili, T. Reddy Bhargavi, K. Navya Sree

Large language models (LLMs) are increasingly deployed in user-facing applications, which exposes them to prompt injection and jailbreak attacks that override system instructions, exfiltrate data, or elicit disallowed behaviour. Existing defences are largely single-mechanism: a r…

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