2026 July - 178 articles
Mobile edge computing (MEC) enables resource-constrained user devices (UDs) to obtain low-latency computing services by offloading computational tasks to the network edge. Non-orthogonal multiple access-enabled mobile edge computing (NOMA-MEC) system...
This study presents the Yang Transform Adomian Decomposition Method (YTADM), a semi-analytical framework for solving one-dimensional linear and nonlinear delay fractional partial differential equations involving the Caputo fractional derivative. The...
Modern grid digitalization connects communication networks, monitoring terminals, service platforms, security devices, and operational data sources. Intrusion detection in this setting requires correlating heterogeneous security data with grid-side c...
Modern energy internets and large-scale industrial systems are becoming increasingly complex. Consequently, the rapid response capability of energy infrastructure during sudden failures has become a core element to ensure the stable operation of the...
Resource-constrained Internet-of-Things (IoT) terminals require encryption engines that combine low silicon cost with adequate throughput, a balance that is hard to reach with general-purpose software alone. This paper presents an LBlock lightweight...
In this article, firstly, some basic properties of the sequential
The two-dimensional thermal liquid jet of a non-Newtonian power-law fluid is investigated under shear-rate-dependent thermal diffusivity, resulting in a one-way coupled nonlinear system governing momentum and thermal transport. Two physically distinc...
Sport-related concussion (SRC) rehabilitation has advanced toward active, multidomain management, yet recovery may still be judged largely through symptom resolution and broad clinical indicators that may not fully capture persistent functional defic...
The intricate nature of multi-class histopathological images, combined with pronounced class imbalances, complicates automated breast cancer diagnosis and demands AI models capable of generalizing well beyond often limited training data. To address t...
During the radial braiding process, spindle motion induces periodic load excitations as they move with the turntable. Based on the kinematics analysis of the spindles, this study derives a tension-load torque mapping model and establishes a multi-deg...
Brain lateralization is a biological asymmetry in which a bilaterally organized nervous system develops direction-specific functional organization. This hypothesis distinguishes gravity-driven physical symmetry reduction from informational symmetry b...
The charged-lepton masses are free Yukawa-sector parameters in the Standard Model, whereas their measured pole-mass ratios display a highly structured hierarchy and satisfy the Koide relation to notable accuracy. This paper develops a conditional mat...
Understanding how landscape form influences inundation severity remains central to flood hazard assessment, yet many assumed relationships lack empirical scrutiny. We investigated whether five topographic attributes—elevation, slope, topographi...
We develop an operator-theoretic framework for extreme events in reflexive financial systems, identifying inverse evolution—the deterministic contraction of the manifold of admissible futures—as the structural mechanism underlying crashes...
Reliable seismic phase picking is essential to earthquake monitoring, as it fundamentally affects earthquake location and source inversion. In challenging field conditions, nonstationary waveforms, diverse morphological features and intense backgroun...
Automated and accurate segmentation of retinal vessels in fundus images provides pivotal evidence for ophthalmologists to effectively and non-invasively diagnose prevalent ocular and systemic diseases. However, existing methods often struggle to main...
In this paper, we introduce new geometric properties of analytic functions by utilizing the fractional integral operator associated with the Mittag-Leffler function. Specifically, we establish several framework criteria under which strong differentia...
Symbolic execution of embedded systems faces path explosion, Satisfiability Modulo Theories (SMT) solver bottlenecks, interrupt nondeterminism, and environment modeling complexity. Recent artificial intelligence (AI)-guided approaches using reinforce...
The Hassanat Distance (HasD) is a bounded, non-convex metric widely used in k-nearest-neighbor (KNN) classification for its robustness to noise, outliers, and heterogeneous feature scales. Its definition, however, breaks a natural symmetry: through a...
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The solid-phase volume fraction is a core process parameter that determines the mixing quality of high-viscosity polyurethane adhesives. It exhibits complex nonlinear couplings with mixing homogeneity, rheological properties, and energy consumption....
The transition toward Industry 4.0 requires the integration of technologically viable hardware–software–intelligence solutions into existing industrial infrastructures to enable smart and autonomous production systems. Thus, Industry 4.0...
Global challenges such as fossil energy depletion, environmental pollution, and climate warming are driving the rapid development of renewable energy sources (RESs), including wind power and photovoltaics [...]
Text image super-resolution aims to improve the readability of low-quality text images while preserving character structures, stroke details, and semantic consistency. Compared with natural image super-resolution, this task is more sensitive to struc...
Aiming at the problems of fault samples being difficult to obtain in fault diagnosis research on heavy-duty bearings of thin-seam shearers and the insufficient diagnostic performance of existing methods under small-sample conditions, this study focus...
The Picasso triggerfish Rhinecanthus aculeatus is common in Indo-Pacific coral reefs, yet quantitative data on intraspecific morphological variation and developmental stability of its caudal peduncle spines remain limited, especially in the South Chi...
Environmental protection has become a key priority for the Chinese government. This study examined the symmetric complementarity of spatial layouts between inter-city high-speed rail and urban subway systems. Their co-location formed a structurally s...
Accurately estimating the incubation period of emerging infectious diseases, defined as the time interval from infection to symptom onset, is essential for informing quarantine strategies and allocating public health resources. To address the challen...
The roll equation of a port–starboard symmetric ship is a clean physical realization of an order-two reflection (
Continuous-variable quantum secret sharing (CVQSS) distributes a secret key among multiple players while requiring their cooperation for reconstruction. Its performance deteriorates rapidly in sequential multiparty links because optical loss, excess...
Symmetry-based domain reduction is widely applied in Monte Carlo reactor physics to reduce computational cost using reflective, white, and periodic boundary conditions. In lattice physics analyses, simulations based on minimum symmetric domains are o...
Equivariant graph neural networks encode the
Selecting an appropriate statistical model to describe lifetime data with heterogeneous characteristics poses a considerable challenge due to the diverse distributional features exhibited by real-world datasets. One effective way to address this chal...
The rapid deployment of sixth-generation (6G) Internet of Things (IoT) networks demands lightweight authentication mechanisms that provide low latency, high scalability, and robust security for resource-constrained devices operating in dynamic wirele...
Image-based malware classification converts binary software into visual representations, enabling deep visual models to be used for malware family recognition. However, reliable family-level annotation remains labor-intensive and expert-dependent, ma...
Ramanujan’s master theorem is considered to express particular values of the Liouville fractional derivatives. This fact is used to immediately obtain generalizations. Firstly, it is shown that the original formulation is suitable only for anti...
Regression testing is a critical activity for maintaining software quality by identifying faults and ensuring system reliability. However, in large-scale software systems, executing all available test cases within limited time and computational resou...
The conventional Hoek–Brown (H–B) failure criterion does not explicitly account for the combined effects of anisotropy and high confining pressure on rock strength. In bedded rocks, anisotropic mechanical behavior arises from the orientat...
In AC motor field-oriented control systems, employing a single DC-bus current sensor with a phase-shifting strategy can effectively reduce system complexity and hardware costs. The vector-symmetry-based phase shift (VSPS) strategy has been shown to o...
After an earthquake or major traffic accident, emergency rescue vehicles may be unable to access the accident site or communicate with the survey drones at the scene. In such cases, an emergency rescue vehicle can select any nearby drone as a communi...
Noisy channels alter the information on qubits transmitted through them, thereby significantly reducing communication fidelity. While most quantum error correction protocols employ a high number of redundant systems, we present a redundancy-based rou...
Exact solutions of the Navier–Stokes equations are derived for three startup flows in a right-angled isosceles triangular channel: Couette flow driven by impulsive motion of the hypotenuse, Couette flow driven by impulsive motion of one leg, an...
Reconstructing 3D building models from point clouds acquired by UAV sensors remains challenging due to irregular building geometries and sensor noise. This paper proposes an unsupervised, geometry-oriented reconstruction method based on the line-symm...
In a digital watermarking technology system, robustness, imperceptibility and payload capacity are the three core performance indicators that restrict one another. How to achieve the optimal balance between the three is still the key scientific chall...
This study proposes a hybrid deep learning model named LSTM-CBAM-Time2Vec-KAN based on symmetry awareness and optimized multi-module collaborative features, aiming to improve the accuracy and stability of stock price prediction. To address common sho...
To address contactless delivery and fully account for customers’ expected delivery time preferences, this paper presents a mixed-integer programming model for minimizing truck–drone cooperative delivery costs. The model takes truck stoppi...
3D printing has become a revolutionary technology, and one of its major advances is the ability to continuously print objects with carbon-fiber-reinforced composites. However, to meet engineering requirements, material selection requires compromises...
Intentional Controlled Islanding (ICI) is a critical strategy for mitigating cascading failures and preventing large-scale blackouts in power systems. This paper proposes a novel ICI framework based on constrained spectral clustering (CSC), which int...
Wireless Internet-of-Things (IoT) data acquisition is an emerging instrumentation paradigm for nuclear and particle physics facilities, offering a flexible complement to established wired architectures based on VME, CAMAC, and OPC-UA. Despite growing...
This study investigates the construction of confidence intervals for the common coefficient of variation (CV) of multiple delta-inverse Gaussian (delta-IG) distributions, which are suitable for modeling skewed and zero-inflated data. Existing methods...
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