Genipin Cross-Linked Chitosan-Polyvinylpyrrolidone Hydrogels: Influence of Composition and Postsynthesis Treatment on pH Responsive Behaviour by Chinyelumndu Jennifer Nwosu, Glenn Adam Hurst, Katarina Novakovic

“…In this study the behaviour of intelligent chitosan-polyvinylpyrrolidone-genipin cross-linked hydrogels is examined as a function of their composition and postsynthesis treatment. …”
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Improved coordinate attention network for classification of dangerous driving behavior by Wen Ni, Lufeng Bai

“…With the rise of traffic accidents caused by unsafe driving behaviors, the accurate classification of these behaviors has become a pressing issue in intelligent transportation systems. Traditional methods such as AlexNet and VGG, while effective for general image recognition tasks, fail to capture the complex and subtle features necessary for recognizing dangerous driving behaviors. …”
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Nanoformulation: An efficient approach to natural insect repellent formulations by Mehrin Najafzadeh Nansa, Farzaneh Jokarshoorijeh, Nasibeh Tavakoli Hasanaklou, Ramin Hosseni, Massomeh Ghorbanloo, leila Mamani

“…Currently, there is a remarkable interest in the development of eco-friendly, secure, and effective pesticides using intelligent, responsive, biodegradable, and biocompatible materials. …”
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De l’analyse micrologique de l’activité au développement du métier : quand l’intelligibilité contribue au processus de professionnalisation by Joris Thievenaz, Marion Paggetti, Richard Wittorski

“…It shows that the micrological analysis of work contributes to the production of knowledge on the activity, by proposing an intelligibility, but also brings praxeological perspectives, by allowing the accompaniment and the follow-up of the processes of professionalization in many trades. …”
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Vehicle Routing and Scheduling of Flex-Route Transit under a Dynamic Operating Environment by Yue Zheng, Liangpeng Gao, Wenquan Li

“…First, we discuss the new operating polices after the introduction of intelligent transportation systems (ITSs), including automatic vehicle location (AVL) system, mobile data terminal (MDT), and computer-aided dispatch (CAD) system. …”
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Risk Control Platform of Safety Production Based on Digital Twin by ZHANG Bo, ZHAO Songpeng

“…Therefore,this paper studies the characteristics and rules of safety production in operation management units of hydraulic engineering.Additionally,a safety production risk management and control platform framework based on digital twin is built to realize intelligent supervision of safety production risks.Taking the Baise water conservancy project as an example,this paper establishes a safe production risk control platform for this project.By achieving the existence of two safety production risk control scenarios of hydraulic engineering based on digital twin and operation,the feasibility of safety production risk control platforms based on digital twin is demonstrated.Meanwhile,a new idea is proposed for subsequent research on safety production risks,which is of certain guiding significance.…”
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Control point locating scheme of street light network in urban environment by Yue-Shan Chang, Ruey-Kai Sheu, Guang-Ting Wu

“…Hence, there are strong demands to intelligently manage the construction and control over street light infrastructures. …”
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Analysis and Prediction of Body Test Results Based on Improved Backpropagation Neural Network Algorithm by Zhanju Ma, Yao Wang

“…Based on BP neural network, an algorithm for predicting students’ endurance performance is proposed, which is applied to the sunshine long-distance intelligent sports testing system at Hangzhou Dianzi University. …”
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Parameter Selection for PSO-Based Hybrid Algorithms and Its Effect on Crack Detection in Cantilever Beams by Amin Ghannadiasl, Saeedeh Ghaemifard

“…These suggested algorithms are optimization algorithms based on intelligent optimization. So, the performance of these algorithms are analyzed when the control parameters vary.…”
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Multichannel speech enhancement algorithm based on hybrid reverberation model by XIE Yuan, ZOU Tao, SUN Weijun, XIE Shengli

“…Experimental results show that the proposed algorithm can enhance speech in high and low-reverberation noise environments, and its enhancement effect is superior to popular speech enhancement algorithms, the performance indicators of speech enhancement, perceptual evaluation of speech quality score (PESQ) value and short-time objective intelligibility (STOI) value, have increased by 30% and 20%, respectively.…”
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AUTOMATIC ACQUISITION OF STRESS DISTRIBUTION CHARACTERISTIC AND INFLUENCE KNOWLEDGE FOR LARGE-SCALE COMPONENT by HUA HaiYan, LIN Hua

“…Finally,the gooseneck-type boom was taken as an example,which demonstrates that the process of modeling,analysis,feature extraction and knowledge acquisition can be realized automatically and the useful knowledge can be acquired efficiently and flexibly for the intelligent optimization of large-scale component.…”
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Interference Avoidance and Mitigation Techniques for Hybrid Satellite-Terrestrial Mobile Backhaul System by Xiaoyan ZHANG, He WANG

“…One of the best ways is to assume that satellite and terrestrial segments share the same spectrum in order to utilize more eff ciently the scarce and expensive spectrum resource.The interference avoidance and mitigation technologies such as antenna arrays, multi-antenna communication technologies, intelligent backhaul nodes, interference-aware power allocation method, and licensed shared access (LSA) were deployed in a hybrid satellite-terrestrial mobile backhaul (MBH) system to demonstrated how to enhance the overall capacity of the hybrid system and reuse the spectrum at diff erent systems on a noninterfering basis.Through theoretical analysis and numerical simulations, it is observed that these interference avoidance and mitigation techniques mentioned above could be used eff ciently to meet the enormous capacity demands of future backhaul networks, off -load the terrestrial segment, manage intrasystem (terrestrial) and the intersystem (satellite-terrestrial) co-channel interference (CCI), lead to hardware costs and energy-consumption savings, and improve spectrum utilization eff ciency.…”
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ROITP: Road Obstacle-Involved Trajectory Planner for Autonomous Trucks by Yechen Qin, Yiwei Huang, Wenhao Yu, Hong Wang

“…Abstract Autonomous trucks have the potential to enhance both safety and convenience in intelligent transportation. However, their maximum speed and ability to navigate a variety of driving conditions, particularly uneven roads, are limited by a high center of gravity, which increases the risk of rollover. …”
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Block-chain abnormal transaction detection method based on adaptive multi-feature fusion by Huijuan ZHU, Jinfu CHEN, Zhiyuan LI, Shangnan YIN

“…Aiming at the problem that the performance of intelligent detection models was limited by the representation ability of original data (features), a residual network structure ResNet-32 was designed to automatically mine the intricate association relationship between original features, so as to actively learn the high-level abstract features with rich semantic information.Low-level features were more transaction content descriptive, although their distinguishing ability was weaker than that of the high-level features.How to integrate them together to obtain complementary advantages was the key to improve the detection performance.Therefore, multi feature fusion methods were proposed to bridge the gap between the two kinds of features.Moreover, these fusion methods can automatically remove the noise and redundant information from the integrated features and further absorb the cross information, to acquire the most distinctive features.Finally, block-chain abnormal transaction detection model (BATDet) was proposed based on the above presented methods, and its effectiveness in the abnormal transaction detection is verified.…”
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An improved propagation model of public opinion information and its governance in online social networks under Omni-media era by Jiakun Wang, Xiaotong Guo, Yun Li, Liu Chun

“…During the Omni-media era, the in-depth advancement of intelligent process endowed public opinion information (referred to as public opinion) with unique spreading characteristics, and put forward new and higher requirements for its governance. …”
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Study on Application of CYCBD based on PSO in Fault Feature Extraction of Rolling Bearing by Yutao Liu, Huer Sun

“…The noise reduction effect of CYCBD around the filter length and cycle frequency， particle swarm optimization algorithm （PSO） is applied to intelligently optimize CYCBD. Determine the optimal parameters to solve the instability of CYCBD. …”
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The Impact of Social Media Marketing Activities on Purchase Intention by Firas Alnaser, Mahmoud Alghizzawi, Ghaith Abualfalayeh, Fandi Omeish, Sager Alharthi, Saed R. Al Koni

“…Subsequently, the data underwent examination using intelligent (PLS-SEM) analysis. According to the results of the study, there is a positive relationship between marketing activities through social media platforms on consumer’s beneficial impact on brand perception (PV), consumer engagement (SBE), and purchase intention (PI). …”
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Multivariate Deep Learning Approach for Electric Vehicle Speed Forecasting by Youssef Nait Malek, Mehdi Najib, Mohamed Bakhouya, Mohammed Essaaidi

“…Speed forecasting has numerous applications in intelligent transport systems’ design and control, especially for safety and road efficiency applications. …”
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MATHEMATICAL MODEL OF THE BIOTECHNIC SYSTEM CONTROLLED BY THE SYSTEM OF ANIMAL SYSTEM ON THE EXAMPLE OF INFRARED IRRADIATION OF PIG-REMOVAL by L. S. Gerasimovich, A. N. Kosko, A. V. Sinenkii

“…The developed principle of intelligent control allows optimal provision of comfortable conditions for keeping animals in real time. …”
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Load forecasting based on knowledge flow and transfer learning by Wenjun ZHU, Sining WANG, Xiaoxin GAO, Qian ZHENG

“…In all things connected, comprehensive perception, intelligent decision-making information era of big data, in the information acquisition of big data and a large amount of signal processing, there are still large amount of data redundancy, calculation and the shortcoming of high cost, not in time, and no marked.The transfer learning was applied, and the knowledge flow system based on the weight impact factor for information fusion was integrated to assist the analysis and simplify the calculation for the IoT sensing system.The knowledge flow mode of transfer learning and data fusion was adopted in the IoT sensing system, and the simulation calculation of short-term load prediction was made based on the partial data of regional power consumption.The influencing factors of users’ electricity consumption behavior were analyzed, and the optimal weight distribution of influencing factors was obtained through training, so as to predict the power consumption rate.The results show that in this way, it can clearly identify the characteristics of electricity consumption behavior, and predict the energy consumption according to the characteristics of electricity consumption.…”
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