Search Results

Meta maintains additional capacity within its infrastructure to ensure high availability for business workloads, accommodating user growth, temporal traffic variations, and unforeseen regional failures. However, this strategic choice inherently leads to ...

The emerging integration of Internet of Things (IoT) and AI has unlocked numerous opportunities for innovation across diverse industries. However, growing privacy concerns and data isolation issues have inhibited this promising advancement. Unfortunately, ...

Phishing attacks have recently become a real danger that threatens the security of sensitive data. This research paper presents a new approach based on Secure Multi-Party Computation (SMPC) to identify phishing attacks on encrypted emails while ...

In a previous paper, a technique was described to avoid order reduction with exponential Rosenbrock methods when integrating initial boundary value problems with time-dependent boundary conditions. That requires to calculate some information on ...

The rapid development of information technology relies on data. Both data analysis and calculation require data querying first. However, due to data privacy preservation concerns, outsourced data is generally encrypted, which brings more ...

In salient object detection, the importance of model lightweighting is increasingly highlighted, particularly in resource-constrained environments. To address this, we present SDNet, an efficient decoder that significantly reduces the number of ...

As one of the most important methods of privacy computing, federated learning has attracted much attention as it makes data available but invisible (i.e., uploading gradients instead of raw data). However, adversaries may still recover some ...

• Our scheme guarantees privacy-preservation, verifiability and data availability.
• The accuracy is effective, while computation and communication costs are efficiency.

We introduce a fast Self-adapting Forward-Forward Network (SaFF-Net) for medical imaging analysis, mitigating power consumption and resource limitations, which currently primarily stem from the prevalent reliance on back-propagation for model ...

Data Envelopment Analysis (DEA) as a data-oriented benchmarking tool is considered a powerful and promising instrument for performance evaluation in various application areas. In DEA, the set of all decision-making units (DMUs) is divided into ...

Wireless technology is one of the major area of research in communication systems. Antenna plays major role in communication system so designing and fabrication of antenna is very important for the communication system. An understanding the ...

Diffusion-based video editing have reached impressive quality and can transform either the global style, local structure, and attributes of given video inputs, following textual edit prompts. However, such solutions typically incur heavy memory ...$$

We investigate an evolvable robot system where the body provides proprioceptive sensory signals to the controller (brain) about the positions of the joints. The key aspect we consider is whether all joints should be sensed or if sensing fewer ...

Characterizing data sets through logic rules is a fundamental task for modeling knowledge systems. Mathematical tools, such as Rough Set Theory (RST) and Formal Concept Analysis (FCA), offer mechanisms for automatically obtaining these logic ...

While deep neural networks are highly effective at solving complex tasks, large pre-trained models are commonly employed even to solve consistently simpler downstream tasks, which do not necessarily require a large model’s complexity. Motivated by ...

Logistic regression is a well-known method for classification and is being widely used in our daily life. To obtain a logistic regression model with sufficient accuracy, collecting a large number of data samples from multiple sources is ...

Uncertainty quantification (UQ) has been widely applied in numerical simulation in recent years. Among different UQ methods, the Monte Carlo (MC) method played an important role in the field of UQ due to its simplicity and robustness. However, MC ...

Display Omitted

• The industrial sector is divided into two stages: production and trading.
• New carbon quotas allocation scheme results in higher efficiency and fairness.
• The proposed allocation process combines regional coordination and equity.

The method of carbon emission quota (CEQ) allocation based on data envelopment analysis (DEA) can allocate quotas without impacting efficiency improvements in industrial sector. A key element in effectively reducing carbon emissions is ensuring ...

Wireless Mesh Network (WMN) has become the most favorable choice among various networking options due to its distributed nature. It offers continuous Internet services, in comparison with other conventional networks, through a self-healing and ...

The rapid process of urbanization and industrial development has raised significant concerns regarding the presence and management of hazardous substances. However, conventional methods employed for identifying hazardous substances and monitoring urban ...

From the secant method and using symmetric divided differences, we construct a uniparametric family of secant-type iterative methods with quadratic convergence and better computational efficiency than the secant method. In addition, we ...