Accurate segmentation of colorectal cancer (CRC) from endoscopic images is crucial for computer-aided diagnosis. Visual intelligence enhances detection precision, supporting clinical decision-making. However, current segmentation methods often struggle with accurately delineating fine-grained lesion...

The abnormal fluctuations in network traffic may indicate potential security threats or system failures. Therefore, efficient network traffic prediction and anomaly detection methods are crucial for network security and traffic management. This paper proposes a novel network traffic prediction and...

In this study the disease detections in fruits and vegetables are identified by Machine Learning. The samples of vegetables and fruit leaves with abnormalities are taken into consideration in this inquiry. Farmers can quickly identify illnesses based on the early signs by using these disorder sample...

The challenge with multifocus images lies in different regions being in focus across various shots, resulting in some areas appearing blurry while others are sharp. This issue is prevalent in fields such as medical imaging, remote sensing, and photography, where clear and detailed images are essenti...

The joint integrated probabilistic data association (JIPDA) filter is effective for automatic multi-target tracking in cluttered environments. However, it is well-known that when targets are closely spaced, the JIPDA filter encounters the track coalescence problem, leading to inaccurate state estima...

Federated Learning (FL) has emerged as a principled paradigm for privacy-preserving decentralized machine learning, enabling model training across distributed embedded devices without centralizing sensitive data. This review examines FL as applied to resource-constrained embedded and edge AI systems...

This research contains the Hartmann boundary layer effectiveness in peristaltic flow of non-Newtonian viscoelastic fluids through asymmetric channel walls. Due to the Hartmann boundary layer, Hartmann number is considered very large. Porosity effects are included in view of modified Darcy's principl...

Medical imaging is an essential and valuable tool in modern medicine for providing essential details on the internal structures and functioning of the human body. Although very useful, the raw images obtained from medical imaging systems usually contain different types of artifacts and noise that mi...

Understanding the dynamic interaction between the amygdala and the ventromedial prefrontal cortex (vmPFC) is essential for unraveling the neural mechanisms underlying emotion regulation. This study introduces a multidimensional analytical framework that integrates functional connectivity, time-lagge...

The simulations for the non-Fourier heat transfer model have been performed for modified Eyring-Powell fluid, comprising the variable viscosity. The inertia outcomes for thermal problem are evaluated by incorporating the Darcy-Forchheimer features. The investigation for visualizing the heat transfer...