Abstract.For the first time, by integrating convergent big-data-analysis and cloud-computing technology to organise enterprises' large-scale financial management from all angles. This paper studies the Collaborative Application Models realised by Cloud Platforms for the Integration of Large-Scale Data Processing and Financial Operations, such as Real-Time Reporting, Risk Management and Resource Optimization. Based on existing research Frameworks for Information System and Financial Technology, this paper explores how service model - Infrastructure as a Service (IaaS), Platform as a Service (PaaS), And … Read more →

Abstract.Adaptive resource scheduling in distributed network systems requires accurate forecasting of incoming traffic, principled allocation of workload across processing paths, and disciplined selection of high-impact nodes for capacity expansion. This paper develops a four-stage framework that integrates ARIMA time-series forecasting, single-objective and multi-objective linear programming, simulated annealing optimization, and entropy-weighted TOPSIS evaluation to handle the full scheduling pipeline. Stationarity is verified through ADF testing before fitting an ARIMA model that produces … Read more →

Abstract.Biomedical literature often remains inaccessible to lay readers due to technical complexity. Medical text simplification (MTS) aims to improve readability while preserving factual accuracy. We propose ReadFact, a workflow that integrates three complementary components: (i) a simplifier trained with Direct Preference Optimization (DPO), (ii) a readability reward model trained with Proximal Policy Optimization (PPO), and (iii) a PICO-based fact checker for structured factual alignment. Our system is trained on the Cochrane Database of Systematic Reviews. Intermediate simplifications are first … Read more →

Abstract.The accuracy and efficiency of vehicle license information entry directly determines whether such operations can truly implement the Standards for Motor Vehicle Recycling and Dismantling Operations and further advance the digitalization of compliant supervision in this sector. To address challenges in this scenario, such as severely damaged documents, complex shooting conditions, and strong field logic, this paper designs and implements an automatic vehicle license information recognition system for end-of-life vehicle dismantling enterprises. The system first employs a YOLOv8 model combined … Read more →

Abstract.Accurate state prediction is important for improving the stability and efficiency of aluminum electrolysis cells, but practical prediction remains difficult because the production process contains strongly coupled variables, delayed process responses, and many decisions based on operator experience. To address these issues, this paper presents an interpretable motif-based rule fusion method for cell state prediction. The method first separates industrial variables into decision variables and state variables so that manual control actions and automatically monitored responses can be modeled … Read more →

Abstract.To objectively evaluate the efficiency of water resource utilization in 31 provinces (municipalities and autonomous regions) of China from 2015 to 2024 and effectively eliminate the effects of environmental factors and random disturbances, this study employs a three-stage data envelopment analysis (DEA) model and the Malmquist index method to construct an evaluation system for water resource utilization efficiency from an input-output perspective. The results show that: (1) environmental factors and random disturbances exert significant effects on the measured efficiency of water resource … Read more →

Abstract.With the widespread dissemination of digital images on the internet, issues related to image copyright protection and content security have become increasingly prominent, making visible watermarks a common method of copyright marking. To address the frequent inaccuracies in visible watermark detection under complex background conditions, this paper proposes an improved deep learning-based visible watermark detection model that achieves high-precision detection and localization of watermark regions. structural optimization is conducted based on the YOLOv8 object detection framework. Considering … Read more →

Abstract.The idea of functions and equations is a core approach running through algebra, geometry, probability and other knowledge modules in middle school mathematics. Its value in cross-module problem-solving and connection with curriculum standards has become increasingly prominent. Taking sequences, trigonometric functions and solid geometry as research objects, this study systematically analyzes the problem-solving logic of the function and equation idea, so as to provide empirical references for front-line teaching to implement curriculum standards and improve students’ key mathematical … Read more →

Abstract.To overcome the insufficient stop-band attenuation and poor stability of conventional IIR filter design, this paper introduces the Red-billed Blue Magpie Optimization (RBMO) algorithm for the synthesis of 8th-order infinite-impulse-response digital filters. By emulating the collective intelligence of red-billed blue magpies, RBMO integrates a tri-modal “hop-walk-fly” search strategy with an “information-sharing & food-storing” cooperation mechanism, achieving an effective balance between global exploration and local exploitation. A pole-radius constraint is embedded to guarantee BIBO … Read more →

Abstract.In practical engineering, neural networks inevitably suffer from time-delay phenomena caused by signal transmission, hardware response, and data communication. Time-delay will degrade the dynamic performance of neural networks, even lead to oscillation, chaos, and instability. Meanwhile, affected by sensor constraints and external interference, only a small number of system states can be measured directly, which makes state estimation become one of the key technologies in the analysis and application of time-delay neural networks. State estimation refers to reconstructing the real full state … Read more →

Abstract.With the continuous advancement of intelligent coal mine construction and refined resource management, coal reserve management has imposed higher requirements on the standardized organization of basic data, intuitive expression of spatial objects, rapid query of results, and traceability of management processes. In response to problems such as diverse data sources, inconsistent formats, and the dispersed management of two-dimensional drawings and statistical results, this paper constructs a workflow for standardized data entry and three-dimensional visualization management around data sorting, … Read more →