The efficiency of the system evaluated using image retrieval in medical application dataset. In order to simulate the added network defense, the network security events in the 295th time window were reduced in the original data, and the defense index increased significantly in the corresponding time period, which is consistent with the method perception results, which further verifies the effectiveness and reliability of this method on the network security event perception. As a result, switches can only forward packets and cannot make routing decisions; the controller makes routing decisions. The noise and irrelevant region information minimize the entire disease detection accuracy and computation complexity. Be at the forefront of scientific communications. The system's architecture consists of the two assessment and learning modules that interact with . Third, forging safer driving data for reducing . In addition to this, the channel access algorithm is used to validate the channel for every access that minimizes unauthorized access. The computer distance teaching system teaches through the network, and there is no entrance threshold. RS is vulnerable to malicious information. In order to verify the performance of the algorithm model, P -value, R -value, F 0.5 -value, and MRR-value were selected for the comprehensive evaluation of the model performance index. The proposed MRSFS-RMDC technique is validated using benchmark dataset and the results are inspected under varying aspects. Only 50% of the pixel measurements are considered in the noisy hologram, which is far less than the original complex object pixels. The conventional image recognition methods require offline standard databases constructed in advance for image access efficiency. Osho The maximum control time of the fusion resource of this method is 23.55 ms. To solve these problems and improve the recognition accuracy and recognition efficiency of image features, this study proposes an edge detail enhancement algorithm for a high-dynamic range image. Classical BP algorithm, classical GA-BP algorithm, and improved GA-BP algorithm were trained, respectively, with a total of 150 sets of training data, training function uses Levenberg-Marquardt (trainlm), and performance function uses mean squared error (MSE). Tamilselvi Kesavan, Ramesh Kumar Krishnamoorthy. 51 Published Online: Oct. 11, 2022, DOI:10.11648/j.ijiis.20221104.12View, Olayemi They are analysed by a deep learning model, and the results are shared with the primary caregiver. The results showed that the improved genetic algorithm converged faster and produced better solutions than the traditional genetic algorithm under the same crossover and mutation probability. Using computer programs to correct English grammar can improve the efficiency of English grammar correction, improve the effect of error correction, and reduce the workload of manual error correction. Finally, experiments were carried out on the linguistic data consortium (LDC) dataset. Two state of art methods such as Graph Sequence Recurrent Neural Network and Hybrid Rough-Block-Based Neural Network are used for comparison with respect to some parameters such as accuracy, precision, recall, f 1-score, and relative absolute error (RAE). Two analyzes of Spark engine performance strategies to implement the Spark technique in a matrix distributed computational algorithm, the multiplication of a sparse multiplication operational test model. The analysis of such huge data necessitates advanced analytical techniques using machine learning and computational intelligence for effective decision making. An information interaction strategy is designed between seeking mode cats and tracking mode cats to improve the convergence speed of the CSO. The Journal of Intelligent Systems is a peer reviewed journal. The optimized model also had a favorable correction performance in an actual English essay. - Article formatsResearch articles, Review papers, Short research communications, Essays, Book reviews. To further understand the audiences tendency toward elements of graphic expression, this article analyzes the subjective perceptions of the respondents on the importance of color selection, calligraphy fonts, graphic expression, and modeling meaning. First, two baseline models, the recurrent neural machine translation (RNMT) model and the transformer model, were briefly introduced. Also, PUC is shown to be faster than PHUI-Growth algorithm with a promising speedup. Xiaofeng Ding Yinting Zheng Hai Jin OriginalPaper Published: 13 October 2022 Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges Abigail M. Y. Koay Ryan K. L Ko Kenneth Radke ReviewPaper Open Access Published: 12 October 2022 Once your proposal is accepted, you will serve as the Lead Guest Editor. To improve the navigation behaviour in this circumstance, we proposed a pedestrian interacting model using reinforcement learning. In order to study the method of extracting information about the security situation of the network based on cloud computing, we recommend the technology of knowledge of the network security situation based on the data extraction technology. These applications require continuous information to perform a specific task. Papers accepted for publication Journal of Intelligent Systems are subject to Article Processing Charges (APCs). Finally, the social governance model under public health emergencies is established. For a large number of multi-dimensional data samples, the LightGBM algorithm can effectively judge the default risk of users on P2P platforms. Using clustering algorithm to determine the type of social network user behavior, setting the characteristics of social network behavior attributes, and finally through quantitative and standardized processing, get the results of college students sports field social network behavior characteristics extraction. Finally, the results of the test functions prove that the proposed algorithm is able to provide very competitive results in terms of improved exploration and exploitation balances and local optima avoidance. After the application of the design method, the number of students interested in writing has increased by 37.8%, and the enthusiasm of students to participate in writing has been improved, with a view to providing some help to improve students English writing ability through this research. For product packaging, the visual elements in it can further enhance the appeal of the package to customers. The decisions are taken by applying intelligent fuzzy logic based on input variables, and an alert is transmitted about watering requirements of a field to the user. Alowolodu It can not only integrate the home Internet and the IoT gateway but also directly run application-layer communication protocols such as HTTP/MQTT between IoT nodes and Internet terminals. This shows that the design method can improve the social governance ability of data fusion clustering and improve the social governance ability. 77 Faculty III, Information Systems and New Media, University of Siegen, Siegen, Germany In general, there are three major issues in realizing intelligent UBI systems. In the absence of a standard corpus, we have developed a dataset consisting of Malayalam news articles. Realizing fault diagnosis of distribution network will not only provide decision support for operation and maintenance of distribution network for power companies, but also have great economic and social benefits. Additionally, a novel cognitive prediction model, inspired by the predictive system of human cognition, is also incorporated. As the batch size increases, the accuracy first increases and then decreases. By looking for an alternative method of exp function to improve the speed of radial basis function algorithm, and then by analyzing the judgment conditions in the main loop during the algorithm process, these judgment conditions are modified conditionally to reduce the calculation scale, which can double the speed of the algorithm. So a new segmentation model was proposed such that the shape of the cells will be extracted, and the contours were highlighted. This article briefly describes the application of artificial intelligence in news media and film and television media using a back-propagation neural network (BPNN) algorithm to reform refutation of rumors in news media and film and television media, and compared it with K-means and support vector machine algorithms in simulation experiments. To reconstruct the 3D model of knee joint including bone structure and main soft tissue structure, the evaluation and analysis of sports injury and rehabilitation treatment are detailed in this study. The experimental results verify the effectiveness of the evaluation model designed in this article, with a user satisfaction of 72%. The results indicated that the ANN can be used for 2D coordinate transformation with the results that are better than those of the authorized techniques such as 2D conformal transformation and 2D conformal least square. An automatic train operation (ATO) introduced the structure and function of an autopilot system (train), optimized the train running on the target curve, introduced the basic principle of fuzzy generalized predictive control (PC) algorithm, and combined with the characteristics of ATO system design the speed controller based on optimization algorithm, the target curve to make use of the designed controller to track and simulation validation. The installation error of metallurgical machinery parts is one of the common sources of errors in mechanical equipment. 2022 Springer Nature Switzerland AG. To better play the role of network auxiliary teaching platform in college sports teaching and improve the effectiveness of college sports teaching, the construction method of multimedia auxiliary teaching effect evaluation model based on the random number forest algorithm is proposed. Day-to-day lives are affected globally by the epidemic coronavirus 2019. The proposed method can optimize the distribution of test resources and improve the quality of software products by predicting the potential defect program modules and design the software and hardware of the static software defect detection system of big data technology. October Any student who is willing to study can log in to the network computer distance teaching system for study at any free time. The performance of the three prediction methods with a low volume of data and the use of visitor trends data as an exogenous variable was evaluated. Then, the BPNN-combined HMM algorithm was simulated and compared with the HMM algorithm and the BPNN algorithm. Moreover, the proposed method achieved a high-retrieval rate in comparison with the non-optimization approach. Research indicates that when the batch size reaches 64, the accuracy of the test set reaches its maximum value. The test dataset consists of data from a weekday and a weekend. How to properly understand the network security situation and improve network security has become a very important issue. Transfer learning allows us to transfer knowledge gained from a previous process to improve and tackle a new problem. The proposed method achieves higher accuracy with a simple model without any preprocessing when compared with previous works. Educational data mining can be used by educational institutions to assess student performance, assisting the institution in recognizing the students accomplishments. IoT modifies almost all the construction industry characteristics. 77 Simply go to: http://mc.manuscriptcentral.com/jisysand you will be guided through the whole peer-reviewing and publishing process. Being a new metaheuristic algorithm, the need for a performance evaluation of AOA is significant to the global optimization research community and specifically to nature-inspired metaheuristic enthusiasts. As compared to other methods from previous works, the proposed algorithm produces excellent timetables, in comparison with the algorithms as well as the current results, the mathematical results showed the high effectiveness of the suggested algorithm. Based on the test prediction results, the LSTM and Ensemble-based methods provided better short-term predictions at multiple times on a weekday, while the Ensemble-based method provided better predictions over the weekend. The results were presented, and their implications were discussed. Journal of Intelligent Systems is covered by the following services: SubmissionYou can easily submit your manuscript online. ORCID: Professor, State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China; Professor, Research Center of Geotechnical and Structural Engineering, Shandong Univ., Jinan 250100, China (corresponding author). Under the premise of increasing the detection rate, the false alarm rate is improved; for the overall detection performance of the model, it is within an acceptable range. Available for Download. At the time, various intermediate attacks such as jamming, priority violation attacks, and spectrum poisoning attacks affect communication because of the open nature of wireless communication. , The ability of the artificial neural network (ANN) to identify the connection between two coordinate systems without the need for a mathematical model is one of its most significant benefits. This process helps to determine the various diseases such as breast, lung, and pediatric studies. Explore journal highlights and milestones from the past decade. Conventional network devices, such as routers and switches, may make routing decisions and forward packets; however, SDN divides these components into the Data plane and the Control plane by splitting distinct features away. Compared with the conventional fingerprint matching methods, its significant advantage in the FRR, FAR, and CR jointly indicated the remarkable correct recognition rate of the proposed method. The monitored data from Pi are stored in MongoDB webserver that is controlled by Web dashboard. The dataset is partitioned randomly into small subsets by utilizing mean-based splitting method. To speed up the response of the robot and minimize the steady state error, in this article, a grey wolf optimizer (GWO) method is proposed for TWSBR control based on state space feedback control technique. The database can provide a pre-processed image via a specific method that probably is compatible merely with the specific recognition algorithm. The learning rate of the algorithm is low, resulting in low recognition accuracy. Crimes are increasing in our society as a serious worldwide issue. Furthermore, we identified problems in the datasets for melanoma and breast cancer and suggested corresponding solutions. . of Chinese Academy of Science, Beijing 100049, China. In summary, the overall detection ability of the DBN-SVM model is the best. Then the cat swarm-optimized deep belief network is applied to extract the features from the affected region. Even though various techniques have been developed to minimize the noise in digital holography, the noise reduction still remains a challenging task. Based on the reviewed literature, three prediction methods suitable for short-term prediction were selected, namely, long short-term memory (LSTM), seasonal autoregressive integrated moving average with exogenous variables (SARIMAX), and the Ensemble-based method. Among them, the unit price of recycling and dispatching of each faulty shared bicycle has dropped by 4.1 yuan compared with the market unit price. It was found that the performance of the GAN-combined Transformer model was significantly improved compared to the Transformer model. The 3D knee joint model including bone, meniscus, and collateral ligament was established. The experimental results show that the average general utilization rate of the proposed method is 73%, which has higher universality, more effective application, and fully meets the research requirements. DM provides powerful approaches for a variety of educational areas. Finally, when the population size and the number of iterations are similar. Neural network has a strong self-learning ability and is an important part of artificial intelligence research. An intelligent climate and watering agriculture system is presented that is controlled with Android application for smart water consumption considering small and medium ruler agricultural fields. Olufunso Dayo However, the use of visitor trend data did not facilitate improving the predictions of SARIMAX and the Ensemble-based method, while it improved the LSTM prediction for the weekend. The dimensions of the two input sparse matrices have been fixed to 30,000 30,000, and the density of the input matrix have been changed. Experimental results show that the recognition rate of the algorithm LBP-SAE on the Yale database has achieved 99.05%, and it further shows that the algorithm has a higher recognition rate than the classic face recognition algorithm; it has strong robustness to light changes. In order to improve the efficiency of the English translation, machine translation is gradually and widely used. Nonetheless, it is believed that it is well justified to adopt these schemes in the current optical network with a low cost for overall expenditure. This review contributes to research by focusing on the adoption of blockchain in the ports and shipping industry to support digital transformation. The study also analyzes the structural characteristics of the optimal loading materials of multimodel railway flatcars, selects the optimal materials and inputs the relevant data into the computer, and uses MATLAB to program the optimal loading algorithm of multimodel railway flatcars. 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