Search Results

The apple is among the most widely consumed fruits globally due to its high nutritional value and longer shelf life. Consequently, there is a need to monitor post-harvest health, which has important applications in grading, packaging and transportation. ...

Emotion recognition plays a pivotal role in enhancing human–animal interaction, facilitating cat behavior recognition. Moreover, it perceptually facilitates the evaluation of a cat’s behavior. However, human self-perception may not reflect the actual ...

The global environmental changes have led to frequent occurrences of extreme rainfall, causing urban waterlogging. It is essential to quickly and accurately identify flooding as well as the depth levels. Therefore, Convolutional block attention ...

• The CBAM-improved ResNet model is proposed for classifying flood depth levels.
• AI visual model captures the contact features between flooding and reference objects.
• WeChat mini-program + AI model: Public access to urban flooding ...

Pancreatic cancer remains one of the most challenging malignancies to diagnose and treat, necessitating advances in medical imaging techniques for early and accurate detection. This study presents a novel hybrid approach to pancreatic cancer ...

This paper presents a novel Deep Learning (DL) framework for cotton plant disease prediction based on Explainable Artificial Intelligence (XAI) and Copula entropy based-Grey Wolf Optimization (GWO) algorithm. The suggested framework uses a cotton ...

Display Omitted

• Hybrid DL-GWO model is proposed to detect cotton diseases.
• Copula Entropy is proposed to enhance the GWO initialization.
• XAI is used as a second layer for explaining and enhancing the feature importance.
• The proposed model ...

Accuratelyestimating pomegranate yield is crucial for farmers to optimize resource allocation and maximize profits. These abstract details our exploration of deep learning techniques for pomegranate yield prediction. We investigated five distinct ...

Landslide hazard prediction is crucial for disaster prevention and risk management. The rapid development of deep learning technology provides a low-cost and efficient detection method for landslide detection, but in the field of landslide hazard ...

The discoveries in this paper show that Intelligence Processing Units (IPUs) offer a viable accelerator alternative to GPUs for machine learning (ML) applications within the fields of materials science and battery research. We investigate the process of ...

Brain cancer results in the deaths of many people each year. Magnetic Resonance Imaging (MRI) is used to segment different regions of brain tumors, such as edema and tumor cores, which is challenging due to differences in location, size, shape, ...

The number of mitotic cells is an important indicator of grading invasive breast cancer. It is very challenging for pathologists to identify and count mitotic cells in pathological sections with naked eyes under the microscope. Therefore, many ...

Display Omitted

• Deep Learning based algorithm for automatically detecting mitotic cells.
• A novel multilevel iterative training strategy to avoid local optima convergence.
• Automatic nuclear localization algorithm on histopathological images.

Due to the complexity of environmental sound, environmental sound classification has always been a difficult problem that has not been fully solved. This paper introduces a novel approach named IC-ResNet50 for environmental sound classification. This ...

Insulators are the essential components in the power transmission system. However, a number of external factors and internal reasons may cause damage to insulators, especially electrical damage, which will lead to the failure of electric power delivery. ...

Abstract — In this study, the researchers used the deep learning models YOLOv3, VGG16, and ResNet50 for functionalities and for comparing Facemask Detection System using the three different algorithms. The objective of this study is as follows: First is ...

Diseases like Middle East respiratory syndrome (MERS) and severe acute respiratory syndrome (SARS) have been caused by a large family virus known as Coronavirus. High-resolution computed tomography (HRCT) chest is used as a useful tool for the ...

A highly contagious illness caused by the SARS-CoV-2 virus pandemic is proven to wreak havoc on people’s health and well-being all over the globe. Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) is the source of COVID-19. Chest ...

With the increasing adoption of voice-based authentication systems, the threat of audio spoofing attacks has become a significant concern. These attacks aim to deceive voice authentication systems by manipulating or impersonating audio signals. To ...

Effectively fusing information between the visual and language modalities remains a significant challenge. To achieve deep integration of natural language and visual information, this research introduces a multimodal fusion neural network model, which ...

In recent years, one of the deadliest malignancies is skin cancer. If it is not detected and treated in a timely manner, it is expected to spread to other body parts. An accurate automated system for skin lesion recognition is essential for early ...

Despite the fact that there are more complex ways of forgery being developed all the time, image forgery detection continues to play an essential part in the field of digital forensics. The problem of counterfeit photographs is a worldwide problem today ...

This study focuses on the development needs of smart ecological agriculture and proposes an improved network model based on ResNet50. The research aims to improve the accuracy and efficiency of automatic identification of corn pests and diseases. Firstly,...