卷 7 ， 期 4 ， 2024
- 摘要：By comparing the predictive performance of various machine learning algorithms for osteoporosis, this study aims to screen out the optimal algorithm and identify key risk factors, so as to provide support for the precise prevention and treatment of osteoporosis. In this study, a variety of machine learning algorithms including decision tree and AdaBoost are used to construct osteoporosis prediction models, and the performance of each model is evaluated, and the evaluation of the importance of features is analyzed. The XGBoost model performed best in all evaluation metrics, including the highest AUC, accuracy, precision and F1 scores. Decision tree and AdaBoost model also show good performance. We found that age is an important feature, and some models tend to value this feature and ignore other features. The experimental data set and the model building algorithm need to be further expanded and optimized.Ensemble learning algorithm has excellent performance in predicting osteoporosis model performance and risk factor identification, which shows great potential in predicting osteoporosis.关键词：Osteoporosis;machine learning;Integrated learning;Feature importance analysis384|998|0更新时间：2025-05-15
- 摘要：Aiming at the problem of inefficient processing of a large number of work orders in a communication company, this paper proposes an optimisation scheme combining text classification and collaborative filtering recommendation system based on term frequency-inverse document frequency (TF-IDF) algorithm to improve the accuracy of work order classification and the reasonableness of recommendation. The data preprocessing of customer problems in work orders, including word splitting, deactivation and text cleaning, combined with multidimensional features such as the channels through which customers raise problems, the TF-IDF method is used to extract features from the problem text, and the optimal classification hyperplane processing is performed on the contents of work orders through the support vector machine (SVM) model to maximize the spacing between work orders of different categories and to maximize the spacing between work order categories and the spacing between work order categories. The optimal classification hyperplane is applied to the contents of the work order through the SVM model, so as to maximize the spacing between different categories of work orders, and to classify new work orders through the decision function. A telecommunication company can use this to efficiently classify user work orders and designate special processing procedures for different categories of work orders to improve work efficiency and customer satisfaction.关键词：ticket handling;TF-IDF;ticket classification;Feature Extraction1|0|0更新时间：2025-05-15
- 摘要：Bone age assessment is a common clinical practice for identifying growth disorders in adolescents. While regions of interest (ROI) in hand radiographs vary with age, most deep learning models are trained based on all age groups, with ambiguous feature selection and a deficiency in clinical cognitive analysis. This study proposes an age-based morphological prediction strategy (AMPS), which combines the morphological features of ROI among different age groups and integrates clinical age group divisions and the Greulich-Pyle (G-P) atlas. AMPS comprises two stages: a baseline model trained in stage 1 to obtain initial weights, and four segmented models trained in stage 2 based on age intervals defined by morphological characteristics in different clinical bone age stages, using the baseline model weights. The segmented models then refine the bone age prediction. A data balancing loss (DB-loss) is introduced to mitigate data imbalance across age groups. AMPS is validated on the public dataset and the clinical datasets provided by a local hospital, achieving mean absolute errors (MAE) of 5.46 months (0.45 years) and 6.39 months (0.53 years), respectively. These results demonstrate that AMPS achieves performance comparable to clinicians and holds practical clinical value.关键词：bone age assessment;age-based;morphological;data balance loss1|0|0更新时间：2025-05-15
RESEARCH PAPER
- 摘要：The occurrence of extreme disaster weather poses a threat to human survival and can significantly impact social and economic development. Timely and accurate prediction of such weather is crucial for mitigating and responding to its effects. In recent years, deep learning has played a key role in the field of meteorological forecasting. This paper explores the applications and advancements of deep learning in the prediction of extreme disaster weather. It introduces the development of deep learning algorithms in the prediction of thunderstorms and typhoons, along with the application of relevant models. Additionally, the paper details the architecture of representative deep learning models, including their network structures and loss functions. Finally, this paper offers insights into future trends of deep learning in light of its development trajectory and the characteristics of extreme disaster weather.关键词：extreme disaster weather;Deep learning;applications and prospects2|0|0更新时间：2025-05-15
- 摘要：With the increasing complexity of marine environments and the demands of modern warfare, unmanned surface vehicles (USVs) are seeing expanded applications in military, research, and commercial fields, particularly demonstrating significant value in precision strikes during maritime operations. This paper investigates the target-strike performance of USVs in complex marine environments, focusing on path planning optimization, strike accuracy enhancement, and collaborative combat strategies. It proposes path planning solutions based on genetic algorithm (GA), particle swarm optimization (PSO), and reinforcement learning (RL), while analyzing technical challenges such as dynamic environment adaptation, communication issues, autonomy, and intelligence. Furthermore, the paper explores future developments in efficient path planning, collaborative operations, and cross-domain applications, providing theoretical support to enhance USV combat capabilities.关键词：unmanned surface vehicles （USVs）;target strike missions;Path planning;intelligent decision-making2|0|0更新时间：2025-05-15
SURVEYS & TUTORIALS
- 摘要：With the booming development of the communication industry, mobile communication networks need to achieve wide coverage in remote areas to meet local communication needs. However, such areas generally have no electricity supply, or electricity is unreliable, or the cost of introducing electricity is too high. In response to the construction needs of such scenarios, in order to solve the power supply problem of mobile communication base stations, the natural resource conditions of the location of mobile communication base stations were analyzed, and a solar power generation and wind power generation scheme was proposed. After analyzing the advantages and disadvantages, the oil solar complementary power supply scheme is finally determined. This construction method reduces construction costs, saves operating expenses, and is in line with the direction of national energy conservation and carbon reduction policies.关键词：remote areas;pain points in construction;photovoltaic power generation;power supply system1|0|0更新时间：2025-05-15
- 摘要：With the growth of the business of medical institutions, building an integrated imaging cloud platform inside and outside the hospital has become an important measure for hospitals to improve the efficiency of imaging resource management and optimize patient services. This article introduces the imaging cloud platform built based on the OHIF framework and RESTful API interface. By integrating various imaging examinations such as radiology, ultrasound, pathology, endoscopy, etc., it achieves unified storage and centralized management of imaging data, and provides unification within and outside the hospital, image review service. Internally, the platform provides fast image call support for HIS, case, 360 view and other systems; externally, through channels such as Internet hospitals and WeChat public accounts, it provides convenient services for patients to access image data anytime and anywhere. The imaging cloud platform not only improves the efficiency of medical treatment inside and outside the hospital, but also significantly reduces the cost of hospital film consumables. This article combines hospital business characteristics and actual needs to explore an efficient and economical construction model of an integrated imaging cloud platform inside and outside the hospital, providing practical experience that can be used for reference in the informatization construction of medical institutions.关键词：OHIF;RESTful API;integrated imaging cloud platform;unified storage;unified access2|0|0更新时间：2025-05-15
CORRESPONDENCE
- Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09064830号-19
京公网安备11010802024621 - It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
- Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.
- Total Visits：77769 Visits Today：57
0