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If a person is truly healthy, his/her well-being encompasses both physical and psychological health. However, the existing IoT-eHealth system typically focus only on monitoring the user’s physical data through various sensors, neglecting their ...

Raman spectroscopy offers invaluable insights into the chemical composition and structural characteristics of various materials, making it a powerful tool for structural analysis. However, accurate quantum mechanical simulations of Raman spectra for ...

Stock ranking is a significant and challenging problem. In recent years, the use of multi-view data, such as price and tweet, for stock ranking has gained considerable attention in the research field. Most existing methods are performed in (some ...

Multi-view learning methods often focus on improving decision accuracy, while neglecting the decision uncertainty, limiting their suitability for safety-critical applications. To mitigate this, researchers propose trusted multi-view learning methods that ...

In this paper, we propose two more efficient implementations for the FHEW scheme. First, for the gate bootstrapping case, we employ approximate gadget decomposition and refined Number Theoretic Transform (NTT) with AVX-512 instructions to improve ...$\mathrm{}$$\mathrm{}$

In the domain of aquaculture, the act of feeding fish is a pivotal factor influencing both the growth of the fish and the associated cultivation costs. The implementation of intelligent feeding strategies is a crucial prerequisite for maintaining ...

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• A comprehensive dual-phase analytical framework is introduced for examining feeding patterns.
• An innovative method integrating multi-scale information fusion and lightweight reparameterization backbone is proposed.
• A classification ...

• Efficiently improve the accuracy of target point tracking of robots.
• Using Extended Kalman Filter and optical tracking system for online estimation of kinematic parameters.
• Effectiveness has been validated with simulation and ...

Although industrial robots have been successfully used in a wide spectrum of applications for production automation, they still face challenges for many high precision tasks especially in low-volume high-mix production due to their low absolute ...

Fine-tuning pre-trained models with task-specific data can produce customized models effective for downstream tasks. However, operating large-scale such fine-tuning tasks in real time in the data center faces non-trivial challenges, including ...

As training Deep Neural Network (DNN) is time-consuming, people resort to parallelization across multiple accelerators. A plethora of solutions adopt data/model parallelization, but they suffer from frequent weight synchronization overhead or resource ...

In the domain of robotics, rapid and accurate fault diagnosis is crucial for maintaining the reliability and efficiency of systems. Traditional convolutional neural networks (CNNs), though adept at fault detection, often falter in handling the ...

Programmable switches have revolutionized network operations by enabling the flexible customization of packet processing logic using language like P4. However, changing the programs running on the switch requires disturbing traffic and suspending other ...

The inversion and uncertainty quantification of physical parameters are important for many science and engineering problems. For nonlinear parameter inversion problems of flows in hydrocarbon reservoirs, estimating the true posterior probability ...

• An ensemble variational Bayes approximation method is developed.
• The method can be used to estimate the posterior probability density.
• Principle component analysis is used to obtain the independent modes.
• The ensemble is ...

The almost blank sub-frames (ABS) technology disables the jamming base station in the ABS slot to guarantee consistent operation between the terminal and communication base station in multi-base station networking circumstances. However, excessive ABS ...

Fluid accumulation in gas wells lead to a sudden drop in production and is a problem. This paper proposes a prediction system for water-producing gas wells using edge intelligence. The method is characterized by use of edge intelligence to ...

Comparative Opinion Quintuple Extraction (COQE) is an emerging task focused on identifying comparative relationships within sentence-level comments. COQE involves extracting a quintuple that encapsulates a specific comparative relation, ...

• For the first time proposing an end-to-end framework for the task of COQE.
• Generating all the sentiment quadruples in parallel with set prediction paradigm.
• Introducing a dynamic structural pruning mechanism over the dependency ...

The construction of smart cities provides more convenient and efficient services and facilities for the tourism industry, and together with the continuous advancement of AI technology, it can support the intelligent development and digital ...

Image recognition is an important task in computer vision with broad applications. In recent years, with the advent of deep learning, lightweight convolutional neural network (CNN) has brought new opportunities for image recognition, which allows ...

• A comprehensive review of recent advances in lightweight CNN for image recognition.
• Classification according to different optimization directions.
• Present the evaluation results of different representative lightweight CNN methods.

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• A fish length estimation method based on medium regression and geometric computation is proposed.
• The medium regression method effectively addresses underwater depth distortion and imaging aberrations.
• Imposing precise constraints ...

Accurate estimation of fish length is crucial aquaculture processes. Precise and real-time estimation of fish length aids fish farmers in formulating effective farming strategies. Existing methods for estimating the length of underwater fish have ...

In view of the problems of communication delay, limited perception ability and inaccurate positioning of traditional unmanned underwater vehicles, this design proposes a design scheme of unmanned underwater vehicle navigation system based on geomagnetic ...

With continuous development of big data and artificial intelligence technology, publishing industry is about to enter era of big data and intelligence. At this time, overall process of publishing industry should be optimized to meet users’ needs deeply. ...