|
|
|
|
|
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 ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haiyang Liu and Enlin Ma
The concentration of atmospheric greenhouse gases is being amplified by human activity. Building energy consumption, particularly for heating and cooling purposes, constitutes a significant proportion of overall energy demand. This research aims to estab...
ver más
|
|
|
|
|
|
|
|
|
|
|
Bingbing Zhao, Xiaoyong Tan, Liang Luo, Min Deng and Xuexi Yang
The inefficient use of urban resources and the imbalance of spatial structures make optimizing land use management a top priority in urban environmental management. Traditional land use classification systems that prioritize only natural features while d...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yubo Zheng, Yingying Luo, Hengyi Shao, Lin Zhang and Lei Li
Contrastive learning, as an unsupervised technique, has emerged as a prominent method in time series representation learning tasks, serving as a viable solution to the scarcity of annotated data. However, the application of data augmentation methods duri...
ver más
|
|
|
|
|
|
|
|
|
|
|
Manar M. F. Donia, Wessam H. El-Behaidy and Aliaa A. A. Youssif
The study of human behaviors aims to gain a deeper perception of stimuli that control decision making. To describe, explain, predict, and control behavior, human behavior can be classified as either non-aggressive or anomalous behavior. Anomalous behavio...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Roberta Vrskova, Robert Hudec, Patrik Kamencay and Peter Sykora
Interest in utilizing neural networks in a variety of scientific and academic studies and in industrial applications is increasing. In addition to the growing interest in neural networks, there is also a rising interest in video classification. Object de...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hyoung-Gook Kim, Dong-Ki Jeong and Jin-Young Kim
The brain is more sensitive to stress than other organs and can develop many diseases under excessive stress. In this study, we developed a method to improve the accuracy of emotional stress recognition using multi-channel electroencephalogram (EEG) sign...
ver más
|
|
|
|
|
|
|
|
|
|
|
Irina Tolstikova,Olga Ignatieva,Konstantin Kondratenko,Alexander Pletnev
Pág. 60 - 69
The article is devoted to the study of the communicative competence of the "digital generation", understood as readiness for network professional, educational and scientific integration. Researched based on a series of surveys conducted by a team of auth...
ver más
|
|
|
|
|
|