A cavity-based method converts qubit frequency noise into measurable photon loss, validated with injected noise and yielding an upper bound of 5e3 Hz²/Hz at 508 MHz.
A systematic review of literature on credit card cyber fraud detection using machine and deep learning
6 Pith papers cite this work. Polarity classification is still indexing.
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Lacuna is an LLM-powered research map for ML that outperforms OpenScholar on retrieval benchmarks and GPT-Researcher on multi-stage report generation tasks.
In pp-wave spacetimes with polynomial profiles the Wada property of geodesic escape basins remains robust while basin entropy and boundary entropy increase monotonically with degree, confirming fractal boundaries for n>3.
Behavior-guided calibration converts co-user overlap into signed evidence applied only to multimodal recommender shortlists and yields consistent gains on Amazon Baby, Sports, and Electronics datasets.
A DenseNet201 base model trained on a constructed plant leaf disease dataset outperforms baselines and enables faster, more robust transfer learning with less data than general models.
Proposes a conceptual framework integrating AI and machine learning for cybersecurity and fraud mitigation in cardless banking systems.
citing papers explorer
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Qubit Noise Sensing via Induced Photon Loss in a Superconducting Cavity
A cavity-based method converts qubit frequency noise into measurable photon loss, validated with injected noise and yielding an upper bound of 5e3 Hz²/Hz at 508 MHz.
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Lacuna: A Research Map for Machine Learning
Lacuna is an LLM-powered research map for ML that outperforms OpenScholar on retrieval benchmarks and GPT-Researcher on multi-stage report generation tasks.
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Robust Wada Boundaries and Entropy Scaling in pp-Wave Spacetimes
In pp-wave spacetimes with polynomial profiles the Wada property of geodesic escape basins remains robust while basin entropy and boundary entropy increase monotonically with degree, confirming fractal boundaries for n>3.
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Behavior-Guided Candidate Calibration for Multimodal Recommendation
Behavior-guided calibration converts co-user overlap into signed evidence applied only to multimodal recommender shortlists and yields consistent gains on Amazon Baby, Sports, and Electronics datasets.
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Developing a Strong Pre-Trained Base Model for Plant Leaf Disease Classification
A DenseNet201 base model trained on a constructed plant leaf disease dataset outperforms baselines and enables faster, more robust transfer learning with less data than general models.
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Innovations in Cardless Artificial Intelligence Banking: A Comprehensive Framework for Cyber Secure and Fraud Mitigation using Machine Learning Algorithms
Proposes a conceptual framework integrating AI and machine learning for cybersecurity and fraud mitigation in cardless banking systems.