Search Results

Epilepsy is a typical life-harassing disease caused by an imbalance of electrical signal flow in the brain. Keeping a close view of the criticality of seizure symptom detection, researchers are presently stepping forward to devise an automated and ...

Type 2 diabetes (T2D), a prevalent chronic metabolic disease of public health concern, is growing rapidly worldwide. In order to characterize robust transcriptomic differences between T2D and the healthy pancreatic islets, we proposed a novel ...

Glaucoma is an eye disease that can result in perpetual eye vision loss if not perceived and treated in time. Therefore, an accurate and efficient automated method has been proposed for diagnosing Glaucoma. This method enables mass ...

Display Omitted

• Mechanically harvesting strawberries is challenging due to the labor intensity and susceptibility of the fruit to mechanical damage.
• A comprehensive review of recent progress in mechanical harvesting of fresh market strawberries was ...

This article reviews the research and development progress of mechanical harvesting technologies for fresh market strawberries in the past few decades, focusing on the main technologies such as cut-and-separate method, harvest-assist method, ...

Display Omitted

• Bionic stirring device to enhance food waste composting was designed.
• Design parameter of stirring device using discrete element method was optimized.
• Failure risk analysis of stirring device undertaken using finite element method.

Effective stirring devices are essential for horizontal composting to enhance food waste disintegration, but studies on flexible compost stirrers, their fracture risk, and prevention methods are limited. This study developed an innovative design ...

Ethnic groups share physical and genetic characteristics that allow them to be uniquely identified. The ethnic identification process is complex because it depends on several factors, such as cultural, geographic, economic, and social. A ...

Due to the nature of microarray data, the analysis of genes/features for disease diagnosis is a challenging task. Generally, the data comes in the form of a 2D matrix, where the row represents the genes and the column indicates the various ...

The widespread adoption of Internet of Things (IoT) devices has revolutionized daily life, offering convenience and efficiency. However, this growth has also brought new security challenges. With the escalating use of Internet and network ...

• Non-invasive biomarker status prediction using contrast-enhanced mammography.
• Lesion guided neural network for contrast-enhanced mammography feature extraction.
• Smooth L1-based consistency loss guiding the network's attention on ...

Accurate identification of molecular biomarker statuses is crucial in cancer diagnosis, treatment, and prognosis. Studies have demonstrated that medical images could be utilized for non-invasive prediction of biomarker ...

Display Omitted

• Robot driven combined site-specific seeding and N fertilization (CSSF = SSS + SNF).
• Both Kings (KA) and Robin Hood (RHA) prescriptions are contrasted in SNF.
• SNF-KA reduces N and seed inputs but SNF-RHA increases little N use.
• ...

Autonomous agricultural management combats the labor crisis in farming industry and ensures efficient farm operations, whereas variable rate technology has proven to increase resource use efficiency and reduce environmental impacts. This study ...

• We propose a novel tool for selecting a distribution center for aid distribution.
• We combine knowledge from different fields for a hybrid decision-making approach.
• We provide a promising solution for timely decisions in ...

The distribution of humanitarian aid is a vital issue for humanity's future. In recent years, the management of humanitarian crises has become more crucial than it was a decade ago. Due to the volatility and urgency that characterize such ...

The area under the Receiver Operating Characteristic (ROC) curve (AUC) is a standard metric for quantifying and comparing binary classifiers. A popular approach to estimating the AUCs and the associated variabilities – the variance of the AUC or ...

• We claim that the bias in DeLong’s AUC variance estimation is always non-negative.
• We claim that the bias matrix in DeLong’s covariance estimation of multiple correlated AUCs is semi-positive definite.
• We construct a random ...

• A 3D parametric model was developed with bones, muscles and aponeurotic sheaths.
• Two types of activities were simulated: breathing and muscular contraction.
• Two sensitivity analysis were driven to assess inter-individual ...

Ventral hernia repair is faced with high recurrence rates. The personalization of the diagnosis, the surgical approach and the choice of the prosthetic implant seem relevant axes to improve the current results. Numerical ...

Social engineering attacks have surged with the increased reliance on online interactions. However, detecting these subtle deceptions remains challenging. This study proposes a novel machine learning approach to enhance social engineering attack ...

Discovering biomarkers from microarray data is an extremely important research subject, as biomarkers help to diagnose disease types, find therapeutic plans for a disease, and contain crucial biological information about organisms. In this paper, a ...

Passenger comfort significantly influences commuter satisfaction and mode preferences in urban transportation systems. To maintain competitiveness and attract more passengers, conducting continuous performance evaluations based on key performance ...

The relationship between ESG (environmental, social, and governance) and financial performance has been studied before. Contradictory results about the direction of this association are available, and there is a lack of work that considers other ...

Cardiotocography (CTG) captured the fetal heart rate and the timing of uterine contractions. Throughout pregnancy, CTG intelligent categorization is crucial for monitoring fetal health and preserving proper fetal growth and development. Since CTG ...

Display Omitted

• Balancing the dataset using the SMOTE approach and facilitating multistage feature selection and extraction for optimal feature identification.
• The study selects the top 5 models for the ensemble, based on reliable results, trustworthy ...

When monitoring combustion conditions, detecting minor variations, which may be complex even for the human eye, is critical for providing a fast response and correcting deviations. The aim of this study is to detect slight variations in ...

The objective of this study is to understand the effectiveness of medium of instruction based on student performance in courses offered face-to-face prior to the pandemic and virtual hybrid mode after the onset of the pandemic from a media richness ...