output
19992026
most citedDeep learning for Stock Market Prediction

399 citations

301 papers

math.LO2026

Affine modal propositional logic

Hafez K. D., Seyed-Mohammad Bagheri

Topological semantics for affine modal propositional logic is introduced. The interior operator on subsets is replaced with the lower semi-continuous envelope operator on functions…

eess.SP2026★ 9 cited

Robust and Feasible QoS-Aware mmWave Massive MIMO Hybrid Beamforming

Mohsen Tajallifar, Ahmad R. Sharafat, Halim Yanikomeroglu

Hybrid beamforming (HB) with quality-of-service (QoS) provisioning per stream in millimeter waves is indispensable in 5G/6G networks. HB includes baseband and radio frequency (RF)…

cs.HC2026★ 73 cited

Empathic and agentic artificial intelligence in nursing: perspectives on a human-centered framework for cancer care navigation in the United States

Tyra Girdwood, Saba Kheirinejad, Parnian Kheirkhah Rahimabad +4

For patients experiencing cancer, nurse navigation can ease the burden of complex care by enhancing coordination of health services and patient outcomes. However, in under-resource…

cs.LG2026★ 2 cited

Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods

Roozbeh Razavi-Far, Mohammad Meymani, Erfan Mahmoudinia +6

Machine learning has revolutionized numerous industrial domains. Despite recent advances, machine learning models remain vulnerable to adversarial threats. Adversarial machine lear…

cond-mat.mtrl-sci2025★ 1 cited

Rational Design of Two-Dimensional Octuple-Atomic-Layer M2A2Z4 for Photocatalytic Water Splitting

Shikai Chang, Dingyanyan Zhou, Yujin Ji +3

Two-dimensional (2D) materials have emerged as promising candidates as photocatalytic materials due to their large surface areas and tunable electronic properties. In this work, we…

cs.LG2025★ 4 cited

Knowledge Distillation and Enhanced Subdomain Adaptation Using Graph Convolutional Network for Resource-Constrained Bearing Fault Diagnosis

Mohammadreza Kavianpour, Parisa Kavianpour, Amin Ramezani +1

Bearing fault diagnosis under varying working conditions faces challenges, including a lack of labeled data, distribution discrepancies, and resource constraints. To address these…