Application of the BP Neural Network Model of Gray Relational Analysis in Economic Management by Zhuojie Li

“…According to the BP neural network algorithm, for the problem that the input variables of the BP network cannot be automatically optimized during the modeling process of the multivariable complex system, it is used to establish a neural network optimization algorithm according to the gray correlation analysis (GM2 BPANN). …”
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The multiple uses of artificial intelligence in exercise programs: a narrative review by Alberto Canzone, Alberto Canzone, Giacomo Belmonte, Antonino Patti, Domenico Savio Salvatore Vicari, Domenico Savio Salvatore Vicari, Fabio Rapisarda, Valerio Giustino, Patrik Drid, Antonino Bianco

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Personalized Travel Route Recommendation Model of Intelligent Service Robot Using Deep Learning in Big Data Environment by Xiang Huang

“…Aiming at the problems that the traditional model is difficult to extract information features, difficult to learn deep knowledge, and cannot automatically and effectively obtain features, which leads to the problem of low recommendation accuracy, this paper proposes a personalized tourism route recommendation model of intelligent service robot using deep learning in a big data environment. …”
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A virtual slotframe technique for reliable multi-hop IEEE 802.15.4e time-slotted channel hopping network by Yuvin Ha, Sang-Hwa Chung

“…Although time-slotted channel hopping provides high reliability, it cannot be achieved automatically. A time-slotted channel hopping should be configured properly according to the dynamic changes in a network. …”
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Latent Graph Induction Networks and Dependency Graph Networks for Events Detection by Jing Yang, Hu Gao, Depeng Dang

“…This limitation arises because dependency trees cannot automatically establish connections between trigger words and other key words, which are crucial for recognizing and classifying trigger words. …”
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Concentration and Potential Sources of Total Gaseous Mercury in a Concentrated Non-Ferrous Metals Smelting Area in Mengzi of China by Xinyu Han, Yuqi Xie, Haojie Su, Wei Du, Guixin Du, Shihan Deng, Jianwu Shi, Senlin Tian, Ping Ning, Feng Xiang, Haitao Xie

“…To discuss the contributions of local sources and long-range transport, eight pollution events were identified based on the ratio of ΔTGM/ΔCO (Carbon Monoxide), which can be found that local sources are a key contributor to the major TGM pollution events. …”
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Description-based Post-hoc Explanation for Twitter List Recommendations by Havva Alizadeh Noughabi, Behshid Behkamal, Mohsen Kahani

“…Twitter List recommender systems can generate highly accurate recommendations, but since they employ heterogeneous information of users and Lists and apply complex prediction models, they cannot provide easy understandable intrinsic explanations. …”
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Improving End-Point Position Control in Hydraulic Testing Machines with a Fuzzy Logic Based Approach by Serkan Anlak, Ekrem Düven

“…However, the use of a standard (fixed coefficient) PID control alone cannot completely eliminate problems such as endpoint vibration and/or non-compliance of the endpoint position with the set value, caused by dynamic parameter changes in the hydraulic system. …”
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Fusing Depth and Silhouette for Scanning Transparent Object with RGB-D Sensor by Yijun Ji, Qing Xia, Zhijiang Zhang

“…However, most modern range sensors fail to scan transparent objects and some other special materials, of which the surface cannot reflect back the accurate depth because of the absorption and refraction of light. …”
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An intelligent spam detection framework using fusion of spammer behavior and linguistic. by Amna Iqbal, Muhammad Younas, Muhammad Kashif Hanif, Muhammad Murad, Rabia Saleem, Muhammad Aater Javed

“…Existing works use manually designed discrete textual or behavior features, which cannot capture complex global semantics of text and reviews. …”
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A multi-task genetic programming approach for online multi-objective container placement in heterogeneous cluster by Ruochen Liu, Haoyuan Lv, Ping Yang, Rongfang Wang

“…., resource request types and physical machine types), but traditional single-task optimization modeling cannot exploit potential common knowledge, resulting in repeated optimization during resource allocation. …”
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Classification Performance Comparison of BERT and IndoBERT on SelfReport of COVID-19 Status on Social Media by Irwan Budiman, Mohammad Reza Faisal, Astina Faridhah, Andi Farmadi, Muhammad Itqan Mazdadi, Triando Hamonangan Saragih, Friska Abadi

“…However, it is essential to note that these messages cannot be a reliable monitoring tool for tracking the spread of the COVID-19 pandemic. …”
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Using UAV-Based Systems to Monitor Air Pollution in Areas with Poor Accessibility by Oscar Alvear, Nicola Roberto Zema, Enrico Natalizio, Carlos T. Calafate

“…Despite the fact that crowdsensing approaches could be an adequate solution for urban areas, they cannot be implemented in rural environments. Instead, deploying a fleet of UAVs could be considered an acceptable alternative. …”
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Multi-modal feature fusion with multi-head self-attention for epileptic EEG signals by Ning Huang, Zhengtao Xi, Yingying Jiao, Yudong Zhang, Zhuqing Jiao, Xiaona Li

“…It is important to classify electroencephalography (EEG) signals automatically for the diagnosis and treatment of epilepsy. …”
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A Real-Time Embedded Control System for Electro-Fused Magnesia Furnace by Fang Zheng, Yang Jie, Tao Shifei, Wu Zhiwei, Chai Tianyou

“…Since smelting process of electro-fused magnesia furnace is a complicated process which has characteristics like complex operation conditions, strong nonlinearities, and strong couplings, traditional linear controller cannot control it very well. Advanced intelligent control strategy is a good solution to this kind of industrial process. …”
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A CNN-Based Approach for Classical Music Recognition and Style Emotion Classification by Yawen Shi

“…Music recognition refers to the process of automatically recognizing and classifying the musical content in audio signals using computer technology and algorithms. …”
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Diagnosis of the mechanisms of different types of discordances between phylogenies inferred from nuclear and mitochondrial markers by A. A. Poroshina, D. Y. Sherbakov, T. E. Peretolchina

“…In many cases, existing methods for molecular phylogenetic analysis do not automatically allow the observed patterns of polymorphism to be explained and, therefore, cannot provide hypotheses that would explain the mechanisms which resulted to these patterns. …”
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Terrain Adaptive Estimation of Instantaneous Centres of Rotation for Tracked Robots by Cuifeng Wang, Wenjun Lv, Xiaochuan Li, Mingliang Mei

“…Compared with the traditional robot, the kinematics model is able to reflect the influences of slippage through the introduction of instantaneous centres of rotation (ICRs). However, ICRs cannot be measured directly and are time-varying with terrain variation, and thus, here, we aim to develop an online estimation method to acquire the ICRs of a robot by means of data fusion technologies. …”
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Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients by Julien Guiot, Monique Henket, Fanny Gester, Béatrice André, Benoit Ernst, Anne-Noelle Frix, Dirk Smeets, Simon Van Eyndhoven, Katerina Antoniou, Lennart Conemans, Janine Gote-Schniering, Hans Slabbynck, Michael Kreuter, Jacobo Sellares, Ioannis Tomos, Guang Yang, Clio Ribbens, Renaud Louis, Vincent Cottin, Sara Tomassetti, Vanessa Smith, Simon L. F. Walsh

“…Modifications of FVC and diffusing capacity of the lungs for carbon monoxide (DLCO) over time were correlated with longitudinal radiological ILD modifications (r=-0.40, p < 0.01; r=-0.40, p < 0.01 respectively). …”
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SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING by Vladimir Milićević, Igor Franc, Maja Lutovac Banduka, Nemanja Zdravković, Nikola Dimitrijević

“…This cannot be done manually because the system response is extremely complex. …”
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