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Inscriptions were a primary means of recording historical events and literary works in ancient times, and remain an important part of Chinese ancient civilization. However, due to their large quantity and prolonged exposure to the natural ...

Imbalanced data classification is a challenging issue encountered in many practical applications. Synthetic minority oversampling technique (SMOTE) and its variants are popular resampling methods. However, in most of these methods, the ...

• The ETC model based on key factors is proposed for early and late rice.
• Rn shows the highest correlation with early and late rice evapotranspiration.
• The SSA-LSSVM model performs best among the optimization models.

Crop evapotranspiration (ET_C) is an important component of the agricultural hydrological cycle, and its accurate estimation is important for assessing the hydrological environment of farmlands and guiding crop irrigation. To improve the ...

The apple is a valuable commercial crop. Morphological information on and visual simulation of the apple plant are critical for precise and scientific field management during its growth period. However, the complex morphological structure of apple ...

Accurately predicting base station network traffic is of great significance to improve network service quality and reduce base station operating costs. Aiming at the problem of low prediction accuracy of single model in the existing base station traffic ...

More mobile devices can obtain WiFi Received Signal Strength (RSS) for indoor positioning, so selecting reasonable Access Points (APs) for rapid positioning is important. Furthermore, RSS is vulnerable to diverse interference, making ...

In recent years, research on nanoparticles (NPs) has brought a new phase in the development of medicine. The term “NPs” refers to nanoscale particles, typically between 10 and 1,000 nm in size, that are within the range of cellular and molecular ...

Electricity time series prediction is a fundamental part in electricity system scheduling that maintains the balance between electrical supply and demand. However, most existing methods cannot capture the complicated structure of electricity time ...

• Remote sensing information helps to determine distributed crop model parameters.

Crop model–based irrigation scheduling is essential for improving crop production and water resource allocation. However, the parametrization of crop growth processes, for which relevant genetic coefficients must be determined through ...

Building robust and generic object detection frameworks requires scaling to larger label spaces and bigger training datasets. However, it is prohibitively costly to acquire annotations for thousands of categories at a large scale. We propose a ...

Group Activity Recognition detects the activity collectively performed by a group of actors, which requires compositional reasoning of actors and objects. We approach the task by modeling the video as tokens that represent the multi-scale semantic ...$\mathrm{}$

Despite the success of fully-supervised human skeleton sequence modeling, utilizing self-supervised pre-training for skeleton sequence representation learning has been an active field because acquiring task-specific skeleton annotations at large ...

Gastric cancer has the highest incidence among all types of malignant tumors. The rapid development of high-throughput gene technology has greatly promoted people’s understanding of gastric cancer at the molecular level. However, there is a lack ...

• This manuscript main purpose is to integrate the omics data of gastric cancer.
• Multi-omics integration analysis can use the cross-complementarity among omics to explore the correlation between different omics, which can make up for the ...

The optimal control of energy conservation and emission reduction of production equipment in key emission control enterprises, which requires the establishment of a correlation model between equipment status and carbon emissions. The traditional ...

As an important tool for behavior informatics, negative sequential rules (NSRs, e.g., $<ab>\Rightarrow \neg <cd>$) are sometimes much more informative than positive sequential rules (PSRs, e.g., $<ab>\Rightarrow <cd>$), as they can provide valuable decision-making information ...$$$$$$

Consider a millimeter‐wave (mmWave) massive multiple‐input multiple‐output (MIMO) system, where a base station (BS) relying on discrete lens antenna (DLA) array transmits scalable video code (SVC) video to multiple single‐antenna vehicles. Taking ...

Based on millimeter‐wave massive multiple‐input multiple‐output systems equipped with discrete lens antenna array, we define a new metric given by the quality of received video to the power consumption ratio (QPR). Moreover, we propose a maximum ...

Understanding human behaviors by deep neural networks has been a central task in computer vision due to its wide application in our daily life. Existing studies have explored various modalities for learning powerful feature representations of ...

Recognition of human poses and actions is crucial for autonomous systems to interact smoothly with people. However, cameras generally capture human poses in 2D as images and videos, which can have significant appearance variations across ...

Attention-based models, exemplified by the Transformer, can effectively model long range dependency, but suffer from the quadratic complexity of self-attention operation, making them difficult to be adopted for high-resolution image generation based on ...