To improve the prediction accuracy of slope stability and prevent slope failure accidents, this study proposes a slope stability prediction model based on an improved pelican optimization algorithm optimized random forest (Improved Pelican Optimization Algorithm optimized Random Forest, IPOA-RF). First, according to 431 slope cases, the slope height, slope angle, unit weight, cohesion, internal friction angle, and pore water pressure ratio were selected as the main predictive features. Second, due to the issue of excessive hyperparameters in the traditional random forest (RF) model, the IPOA algorithm was employed to optimize the RF parameters using an optimal-guidance strategy, mutation op... More >

The rapid expansion of the low-altitude economy is reshaping urban transportation systems, while large-scale operations of dynamic and high-density low-altitude unmanned aerial vehicles pose significant challenges to performance and robustness of airspace infrastructure. Traditional free-flight and point-to-point paradigms have revealed inherent limitations in conflict resolution and congestion mitigation, making the construction of adaptive, structured, and dynamic low-altitude air route networks a critical pathway to achieve both route controllability and efficient operation. However, existing design approaches may struggle to rapidly adapt to dynamic flight requirements while ensuring hig... More >

The ultra-large scale and prolonged runtime of Large Language Model (LLM) training—often involving thousands of GPUs and spanning weeks—render reliability a pivotal bottleneck. Hardware failures, stragglers, and runtime issues can waste over 30% of GPU resources, delaying model rollout and driving up costs. This survey focuses on reliability optimization for LLM training systems. The discussion centers on three pillars of reliability: fault detection, fault recovery, and straggler mitigation. For each pillar, we dissect innovative mechanisms, which range from communication-aware fault detection to adaptive load balancing, and we assess their impact on critical reliability metrics such as... More >

This paper describes the design and installation of a fire-fighting system in a high-rise building, the SAMA Residential Tower in Palestine. A sprinkler system, a standpipe system, a fire hose cabinet, a landing valve, externally accessible fire hydrants, and a Siamese connection are all included in this system. Additionally, it complies with NFPA 13, 14, and 20 codes, as well as those of the Palestinian and Jordanian governments. Hydraulic calculations were performed manually and confirmed using Elite Fire Protection software. The layouts were developed using AutoCAD, and 3D modeling was created in Revit to optimize the placement of components. All zones of the building will be protected by... More >

Gas leakage poses a significant hazard in chemical industry operations, where failure to respond rapidly to gas diffusion can lead to poisoning, fire, or explosion. Timely and accurate prediction of gas dispersion is therefore essential for emergency decision-making and operational safety. While existing methods such as computational fluid dynamics, spatiotemporal statistics, and surrogate models emphasize prediction accuracy, they often suffer from excessive computational delays—especially critical in leak scenarios where casualties can occur within minutes. To address this gap, this paper introduces a Gaussian process-Markov random field-Kriging (GP-MRF-K) model for fast and reliable pre... More >

In urban public transport networks, subway and bus systems complement each other and together form a coupled system that serves passenger travel. However, a disturbance in either subsystem can propagate through coupling nodes across the entire network, thereby reducing overall operational efficiency. Most existing studies focus only on the reliability of a single mode, and few have analyzed the overall reliability of the system while considering the coupling relationship between the two. To address this gap, this paper proposes a probabilistic evaluation model to assess the reliability of the subway and bus coupling system. System reliability is defined as the probability that the network ca... More >

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The capacity regeneration phenomenon in lithium-ion batteries is inevitable and leads to non-monotonic fluctuations in capacity degradation trajectories, significantly complicating accurate remaining useful life (RUL) prediction. To address this challenge, this paper proposes a hybrid prediction model based on CEEMDAN-SSA-SVR-BiGRU. The method first employs Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) to decompose the original capacity sequence into multiple Intrinsic Mode Functions (IMFs) representing local regeneration fluctuations, and a residual component (RES) referring to the global degradation trend, thereby achieving effective signal decoupling. Subseq... More >