Institution
Institute of Computing Technology
Recent research
- Health & MedicineOpen access
ABSTRACT Postoperative delirium (POD) and acute kidney injury (AKI) are serious complications in older patients undergoing surgery, yet predictive model development is often constrained by single‐center data limitations and privacy concerns that preclude centralized data sharing....
- AI & ComputingOpen access
A co-optimization qubit mapping algorithm via two-stage search and bidirectional look
Abstract Current quantum devices typically lack full qubit connectivity, making it difficult to directly execute logical circuits on quantum devices. This limitation necessitates quantum circuit mapping algorithms to insert SWAP gates, dynamically remapping logical qubits to phys...
- AI & ComputingOpen access
Efficient Discovery of Motif Transition Process for Large-Scale Temporal Graphs
Understanding the dynamic transition of motifs in temporal graphs is essential for revealing how graph structures evolve over time, identifying critical patterns, and predicting future behaviors, yet existing methods often focus on predefined motifs, limiting their ability to com...
- AI & ComputingOpen access
Based on the independently constructed PDSM-NT (Primitive Discrete Symmetric Modular Number Theory) theoretical system, this paper innovatively reconstructs the Riemann zeta function on the basis of interdisciplinary integration of Calabi-Yau three-fold (CY₃) manifold topological...
- AI & ComputingOpen access
Abstract As a core millennium problem in number theory, the Riemann Hypothesis has long been constrained within the frameworks of complex analysis, number-theoretic statistics, and random matrix spectral fitting, failing to achieve an axiom-level rigorous proof. Based on the self...
- Engineering & TechnologyOpen access
Single-frame vehicle trajectory prediction via neural ODE-based motion-state forecasting
Accurate short-horizon vehicle trajectory prediction is critical for autonomous driving and vehicle-to-everything (V2X) communication. Most existing deep learning-based prediction methods rely on fixed-length historical trajectories and multi-agent context, which may be unavailab...
- AI & ComputingOpen access
PDSM-NT Primordial Vortex Number Theory — The Octa-Ridge Ring Topological Structure Theory of Primes
Abstract: This paper establishes a novel unified system of number theory and geometry, namely the PDSM-NT Primordial Vortex Number Theory. Abandoning the traditional one-dimensional number line paradigm for prime research, this theory breaks the inherent limitations of elementary...
- AI & ComputingOpen access
PDSM-NT Primordial Vortex Number Theory — The Octa-Ridge Ring Topological Structure Theory of Primes
Abstract: This paper establishes a novel unified system of number theory and geometry, namely the PDSM-NT Primordial Vortex Number Theory. Abandoning the traditional one-dimensional number line paradigm for prime research, this theory breaks the inherent limitations of elementary...
- AI & ComputingOpen access
The zero-point distribution problem of the Riemann ζ-function serves as the cornerstone of modern analytic number theory, and the Riemann Hypothesis (RH) is a century-old core puzzle spanning mathematics, physics, and cryptography. Classical research frameworks adopt complex anal...
- AI & ComputingOpen access
Abstract: The Riemann Hypothesis (RH) is a core fundamental problem in modern analytic number theory and is officially listed as one of the seven Millennium Prize Problems by the Clay Mathematics Institute (CMI). It essentially governs the intrinsic correlation between the non-tr...
- AI & ComputingOpen access
Abstract: The Riemann Hypothesis (RH) is a core fundamental problem in modern analytic number theory and is officially listed as one of the seven Millennium Prize Problems by the Clay Mathematics Institute (CMI). It essentially governs the intrinsic correlation between the non-tr...
- AI & ComputingOpen access
Abstract The long-standing dichotomy between discrete number theory and continuous differential geometry constitutes the core academic bottleneck restricting the research on prime distribution mechanisms. To break through this theoretical dilemma, this paper constructs an origina...
- AI & ComputingOpen access
A Rigorous Proof of the Riemann Hypothesis Based on Primitive Vortex Geometry (PDSM)
The Riemann Hypothesis remains a core unsolved problem in analytic number theory spanning over 160 years. Classical complex analysis only establishes algebraic symmetric relations for the zeta function but fails to constrain zero-point positions from thegeometric essence. This pa...
- AI & ComputingOpen access
For more than a century, classical analytic number theory has adhered to the core premise of the random distribution of prime numbers, and the Riemann zeta function system and traditional sieve methods can only realize statistical fitting and approximate estimation of prime distr...
- Engineering & TechnologyOpen access
Field vibration monitoring of EMU traction motor bearings is commonly constrained by weak or relative labels, fluctuations in operating conditions, and limited abnormal samples. Under these conditions, learning a normal boundary from a single bearing position may be unstable, and...
- AI & ComputingOpen access
Based on the original theoretical framework of Prime-Pi Dual-State Mathematics, this paper proposes the intrinsic free-angle mapping rule for natural numbers and constructs an eight-ridge helical geometric structure constrained by prime residue classes modulo 30. The model define...
- AI & ComputingOpen access
Based on the original theoretical framework of Prime-Pi Dual-State Mathematics, this paper proposes the intrinsic free-angle mapping rule for natural numbers and constructs an eight-ridge helical geometric structure constrained by prime residue classes modulo 30. The model define...