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Shaojun Liu, Yi Long, Ling Zhang and Hao Liu
Data-driven urban human activity mining has become a hot topic of urban dynamic modeling and analysis. Semantic activity chain modeling with activity purpose provides scientific methodological support for the analysis and decision-making of human behavio...
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Tongxin Chen, Kate Bowers and Tao Cheng
This study aimed to evaluate the relationships between different groups of explanatory variables (i.e., dynamic human activity variables, static variables of social disorganisation and crime generators, and combinations of both sets of variables) and pro...
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María Zamarreño Suárez, Juan Marín Martínez, Francisco Pérez Moreno, Raquel Delgado-Aguilera Jurado, Patricia María López de Frutos and Rosa María Arnaldo Valdés
The use of electroencephalography (EEG) techniques has many advantages in the study of human performance in air traffic control (ATC). At present, these are non-intrusive techniques that allow large volumes of data to be recorded on a continuous basis us...
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Jiahui Zhao, Zhibin Li, Pan Liu
Pág. 19?41
The land-use identification process, which involves quantifying the types and intensity of human activities at a regional level, is a critical investigation step for ongoing land-use planning. One limitation of land-use identification practices is that t...
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Hong Ding, Qinghui Zeng, Qin Yang, Huan Liu, Peng Hu, Haifeng Zhu and Yinan Wang
Wetlands have powerful runoff regulation functions, which can effectively store and retain surface runoff. The runoff regulation function of wetlands is affected by wetland areas, which affect the capacity of flood control. To explore the law of the area...
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Yaxin Mao, Lamei Yan, Hongyu Guo, Yujie Hong, Xiaocheng Huang and Youwei Yuan
Inertial measurement unit (IMU) technology has gained popularity in human activity recognition (HAR) due to its ability to identify human activity by measuring acceleration, angular velocity, and magnetic flux in key body areas like the wrist and knee. I...
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Hossein Shahverdi, Mohammad Nabati, Parisa Fard Moshiri, Reza Asvadi and Seyed Ali Ghorashi
Human Activity Recognition (HAR) has been a popular area of research in the Internet of Things (IoT) and Human?Computer Interaction (HCI) over the past decade. The objective of this field is to detect human activities through numeric or visual representa...
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Carla Condò, Igor Anfelli, Luca Forti, Carla Sabia, Patrizia Messi and Ramona Iseppi
Natural compound extracts from lichens were able to decrease and/or inhibit the growth of microorganisms of interest in human health, thus providing a good alternative alone or in combination with drugs for therapy.
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Hayat Ullah and Arslan Munir
The recognition of human activities using vision-based techniques has become a crucial research field in video analytics. Over the last decade, there have been numerous advancements in deep learning algorithms aimed at accurately detecting complex human ...
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Guangdong Wu, Yuanqing Liu, Bo Liu, Huazhun Ren, Wenpeng Wang, Xiao Zhang, Zhe Yuan and Mingzhi Yang
The Hanjiang River, as a water donor basin, plays a fundamental role in supporting water supply security in northern China while maintaining the health and stability of ecosystems within the basin. However, the combined influence of climate change and an...
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Hongbo Jiao, Yinan Li, Huaibin Wei, Jing Liu, Liming Cheng and Yongrui Chen
The assessment of river health holds paramount significance in diagnosing the conditions of river water environments, and its research serves as a crucial foundation for the functional management and restoration of rivers. We discuss the concept and asse...
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Yizhou Tan, Wenjing Li, Da Chen and Waishan Qiu
Understanding park events and their categorization offers pivotal insights into urban parks and their integral roles in cities. The objective of this study is to explore the efficacy of Convolutional Neural Networks (CNNs) in categorizing park events thr...
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Yan-Li Ma, Wen-Wu Lin, Si-Si Guo, Lian-Hui Xie, Dun-Chun He and Zhao-Bang Cheng
Paddy is an artificial ecosystem driven by human activities, such as adjustment of cropping systems, deployment of resistant varieties and pesticides use. Inappropriate human intervention aggravated the disruption of ecosystems, which resulted in rice vi...
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Adebola Omolaja, Abayomi Otebolaku and Ali Alfoudi
Smart devices, such as smartphones, smartwatches, etc., are examples of promising platforms for automatic recognition of human activities. However, it is difficult to accurately monitor complex human activities on these platforms due to interclass patter...
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Oscar Herrera-Alcántara
In this paper, fractional calculus principles are considered to implement fractional derivative gradient optimizers for the Tensorflow backend. The performance of these fractional derivative optimizers is compared with that of other well-known ones. Our ...
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Xiaoqi Shen, Wenzhong Shi, Zhewei Liu, Anshu Zhang, Lukang Wang and Fanxin Zeng
Human activity area extraction, a popular research topic, refers to mining meaningful location clusters from raw activity data. However, varying densities of large-scale spatial data create a challenge for existing extraction methods. This research propo...
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Baha A. Alsaify, Mahmoud M. Almazari, Rami Alazrai, Sahel Alouneh and Mohammad I. Daoud
Passive human activity recognition (HAR) systems, in which no sensors are attached to the subject, provide great potentials compared to conventional systems. One of the recently used techniques showing tremendous potential is channel state information (C...
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Dengpan Li, Lei Tian, Mingyang Li, Tao Li, Fang Ren, Chunhong Tian and Ce Yang
Exploring the temporal and spatial changes, as well as driving factors, of net primary productivity (NPP) of terrestrial ecosystems is essential for maintaining regional carbon balance. This work focuses on the spatiotemporal variation and future trends ...
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Anqi Wang, Anshu Zhang, Edwin H. W. Chan, Wenzhong Shi, Xiaolin Zhou and Zhewei Liu
Along with the increase of big data and the advancement of technologies, comprehensive data-driven knowledge of urban systems is becoming more attainable, yet the connection between big-data research and its application e.g., in smart city development, i...
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Iuliia Brishtel, Thomas Schmidt, Igor Vozniak, Jason Raphael Rambach, Bruno Mirbach and Didier Stricker
The technical advances in navigation systems should enhance the driving experience, supporting drivers? spatial decision making and learning in less familiar or unfamiliar environments. Furthermore, autonomous driving systems are expected to take over na...
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