Use of the Baidu Index to Analyze Spatiotemporal Characteristics of Online Attention to Adult Education by Yao Jiang, Qian Fu

Subjects: “…Baidu Index…”
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Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study by Xin Xiong, Linghui Xiang, Litao Chang, Irene XY Wu, Shuzhen Deng

“…We constructed four models with different combinations of predictors: (1) model BE, combining the Baidu index and environmental factors data; (2) model IB, combining mumps incidence and Baidu index data; (3) model IE, combining mumps incidence and environmental factors; and (4) model IBE, integrating all 3 data sources. …”
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Assessing the impact of COVID-19 on residents’ activities using baidu heat map data: from the lockdown era to the post-pandemic era by Jinyu Zhang, Xuesheng Zhao, Dongxue Han

Subjects: “…Baidu heat map data…”
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Spatial and temporal evolution of tourism flows among 296 Chinese cities in the context of COVID-19: a study based on Baidu Index by Yibo Tang, Gangmin Weng, Simeng Qin, Yue Pan

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Correlation between night sweats and season fluctuation in China by Cai Chen, Meng Li, Fulai Peng, Danyang Lv, Xiao Ding, Chongxuan Tian, Weilian Ren, Xiangwei Meng, Tiefeng Sun, Yi Wang, Haitao Du, Fengxia Wu, Wei Li, Ping Wang

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Assessing Urban Park Accessibility and Equity Using Open-Source Data in Jiujiang, China by Lihui Gao, Zhen Xu, Ziqi Shang, Mingyu Li, Jianhui Wang

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Forecasting Influenza Trends Using Decomposition Technique and LightGBM Optimized by Grey Wolf Optimizer Algorithm by Yonghui Duan, Chen Li, Xiang Wang, Yibin Guo, Hao Wang

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Spatiotemporal Characteristics and Influential Factors of Electronic Cigarette Web-Based Attention in Mainland China: Time Series Observational Study by Zhongmin Zhang, Hengyi Xu, Jing Pan, Fujian Song, Ting Chen

“…Positive spatial autocorrelation existed in the per capita Baidu index of e-cigarettes from 2015 to 2022. The results of the local Moran’s I showed that there were mainly low-low cluster areas of the per capita Baidu index, especially in the central region. …”
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Mitigating Barren Plateaus of Variational Quantum Eigensolvers by Xia Liu, Geng Liu, Hao-Kai Zhang, Jiaxin Huang, Xin Wang

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Research on Detecting AI-Generated Forged Handwritten Signatures via Data-Efficient Image Transformers by Yanli Hao, Zuyang Zheng

“…The DeiT model demonstrated superior performance with AUC values of 100% for the Huawei and Baidu datasets, 99.99% for the combined Huawei and Baidu datasets, 100% for the AI & Handwriting dataset, and 99.72% for the Shouji dataset. …”
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البحث المرئي (Visual Search) تقنية لاسترجاع المعلومات على شبکة الإنترنت: دراسة في آليات البحث والاسترجاع داخل محرکات البحث... by عمرو سعید فهیم

“…وخلصت الدراسة إلى توافر إجمالي معايير (البحث والاسترجاع) بنسبة 68,75% في محرک البحث Bing Visual Search؛ يليه في ذلک کل من محرک البحث Google Image و Yandex بنسبة 65,62%، ثم محرک البحث TinEye بنسبة 59,37%، وأخيرًا محرک البحث Baidu بنسبة 53,12%. وتوصى الدراسة بإجراء مزيد من الدراسات الأکاديمية التي تعالج موضوع البحث المرئي، ومدى إمکانية تصميم، وإنشاء، وتطبيق محرکات بحث عربية لاسترجاع المعلومات المرئية الثابتة على شبکة الإنترنت؛ حيث يُعدَّ هذا المجال من المجالات الحديثة، والخصبة التي لم يتم التطرق إليها.…”
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Survey on the search of Internet of Things by Yun-quan GAO, Xiao-yong LI, Bin-xing FANG

“…With the popularization and development of the Internet of Things,the search of Internet of Things urgently needs to be solved in academia and industry and becomes a hot research topic.With the increasing data generated by sensors,only the search of IoT makes this data valuable.However,different from the traditional Internet search engines (such as Baidu,Google,Bing,Yahoo,etc),the search of IoT has different search objects and search architecture and data in the Internet of Things are massive,real-time,highly dynamic,heterogeneous,highly insecure.The above characteristics make search of IoT face more challenges.Firstly,the concept,characteristics,related technologies of search of IoT were summarized and presented.Secondly,several typical systems and related algorithms were described in detail.Finally,the current problems,the challenges and research prospects of this field for future were presented…”
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Research progress of Chinese medicinal monomers in the process of melanoma occurrence by Yan Shang, Hailong Zhao

“…Traditional Chinese medicine (TCM) offers a unique approach through its ‘four natures’ theory—cold, cool, warm, and hot.Objective This review aims to explore the potential of TCM’s ‘four natures’ herbal monomers in melanoma treatment, providing an alternative to conventional therapies.Materials & methods A systematic literature review was conducted by accessing various databases, including Baidu Scholar, PubMed, Science Citation Index Expanded (SCIE), and China National Knowledge Infrastructure (CNKI), to synthesize the most recent findings on traditional Chinese medicine monomers. …”
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An Adaboost-Backpropagation Neural Network for Automated Image Sentiment Classification by Jianfang Cao, Junjie Chen, Haifang Li

“…Using 600 natural scenery images downloaded from the Baidu photo channel to train and test the model, our experiments achieved results superior to the results obtained using the BP neural network method. …”
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Research on the Hierarchical Spatial Structure of the Urban Agglomeration of the Yellow River Ji-Shaped Bend by Fang Wang, Mengyao Guo, Xi Guo, Fangqu Niu

“…In the context of the coordinated development of the urban agglomeration of the Yellow River Ji-shaped bend (UAYB), this study identifies the hierarchical spatial structure of the UAYB through a combination of Baidu migration big data and traditional data. The following conclusions can be drawn. (1) The cities with the strongest regional comprehensive power are Ordos, Taiyuan, Hohhot, Yinchuan, and Yulin, which cause the UAYB to present a significant “center-periphery” spatial pattern. (2) The biggest population flows mostly occur between cities in the same province, while interprovincial population flows mainly exist between cities with the strongest comprehensive power. (3) The hierarchical spatial structure of the UAYB forms a multitree structure, with Ordos as the core. (4) The attractiveness of the UAYB is very weak, being only slightly attractive to individual surrounding provinces, while the population outflow index to economically developed areas is high. …”
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Robustness evaluation of commercial liveness detection platform by Pengcheng WANG, Haibin ZHENG, Jianfei ZOU, Ling PANG, Hu LI, Jinyin CHEN

“…Liveness detection technology has become an important application in daily life, and it is used in scenarios including mobile phone face unlock, face payment, and remote authentication.However, if attackers use fake video generation technology to generate realistic face-swapping videos to attack the living body detection system in the above scenarios, it will pose a huge threat to the security of these scenarios.Aiming at this problem, four state-of-the-art Deepfake technologies were used to generate a large number of face-changing pictures and videos as test samples, and use these samples to test the online API interfaces of commercial live detection platforms such as Baidu and Tencent.The test results show that the detection success rate of Deepfake images is generally very low by the major commercial live detection platforms currently used, and they are more sensitive to the quality of images, and the false detection rate of real images is also high.The main reason for the analysis may be that these platforms were mainly designed for traditional living detection attack methods such as printing photo attacks, screen remake attacks, and silicone mask attacks, and did not integrate advanced face-changing detection technology into their liveness detection.In the algorithm, these platforms cannot effectively deal with Deepfake attacks.Therefore, an integrated live detection method Integranet was proposed, which was obtained by integrating four detection algorithms for different image features.It could effectively detect traditional attack methods such as printed photos and screen remakes.It could also effectively detect against advanced Deepfake attacks.The detection effect of Integranet was verified on the test data set.The results show that the detection success rate of Deepfake images by proposed Integranet detection method is at least 35% higher than that of major commercial live detection platforms.…”
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Ultra-short-term wind-power forecasting based on an optimized CNN–BILSTM–attention model by Weilong Yu, Shuaibing Li, Hao Zhang, Yongqiang Kang, Hongwei Li, Haiying Dong

“…Finally, the proposed model is analyzed based on the public dataset of the Baidu KDD Cup 2022 wind-power forecast competition and actual data from a wind farm in Shandong. …”
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Assessing the Spatial Efficiency of Xi’an Rail Transit Station Areas Using a Data Envelopment Analysis (DEA) Model by Haiyan Tong, Quanhua Hou, Xiao Dong, Yaqiong Duan, Weiming Gao, Kexin Lei

“…An evaluation system for spatial efficiency was constructed based on data from field research, satellite images, Baidu heat maps, and station passenger flow statistics. …”
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Crack Identification Method of Steel Fiber Reinforced Concrete Based on Deep Learning: A Comparative Study and Shared Crack Database by Yang Ding, Shuang-Xi Zhou, Hai-Qiang Yuan, Yuan Pan, Jing-Liang Dong, Zhong-Ping Wang, Tong-Lin Yang, An-Ming She

“…Furthermore, the crack database is expanded by the migration learning method and the crack database is shared on the Baidu online disk. Finally, a concrete crack identification model based on YOLOv4 and Mask R-CNN is established. …”
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Effects of Vehicle Restriction Policies on Urban Travel Demand Change from a Built Environment Perspective by Xiaoyun Cheng, Kun Huang, Lei Qu, Tianbao Zhang, Li Li

“…Built environment variables are measured using the transportation network data and the Baidu Map Service points of interest (POI) data. …”
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