Academic Articles & Research Papers

Effect of the Double-Line Spiral Tunnel Curvature on the Tunnel Construction Stability

In the construction of mountain highway, in order to avoid complicated geology and adapt to the requirements of the terrain of the large height difference and the large slope, the double-line spiral tunnels are gradually applied. The purpos...

Hybrid drivetrain design: Working principle and application

Emerging engineering challenges in wind power electricity generation bond with stringent industrial requirements, have tendency to outline development and design process in the ready set go manner. From given predisposition one of the conse...

Battery Energy Storage Capacity Estimation for Microgrids Using Digital Twin Concept

Globally, renewable energy-based power generation is experiencing exponential growth due to concerns over the environmental impacts of traditional power generation methods. Microgrids (MGs) are commonly employed to integrate renewable sourc...

Synthetic biology open language (SBOL) version 3.1.0

Synthetic biology builds upon genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. When designing a synthetic system, synthetic biologists need to exchange informatio...

A Model to Predict Heart Disease Treatment Using Data Mining

Background and Aim: Nowadays heart disease is very common and is a major cause of mortality. Proper and early diagnosis of this disease is very important. Diagnostic methods and treatments of the disease are so expensive and have many side ...

A Systematic Literature Review on Modern Cryptographic and Authentication Schemes for Securing the Internet of Things

The rapid integration of the Internet of Things (IoT) into healthcare ecosystems has revolutionized patient monitoring and data accessibility; however, it has simultaneously expanded the cyber-attack surface, leaving sensitive medical data ...

Recommendation Systems for Software Engineering

Software development can be challenging because of the large information spaces that developers must navigate. Without assistance, developers can become bogged down and spend a disproportionate amount of their time seeking information at th...

Experimentation in software engineering

Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing b...

Software Engineering: A Practitioners Approach

Software engineering is the art of war. So if you don't know how to wage a war, then the weapons are useless. Software engineering has become very important because of the impact of large, expensive software systems and the role of software...

Software engineering with Ada

From the Publisher: Grady Booch, a renowned authority in software development, and Doug Bryan combined their Ada programming and software engineering expertise for the new edition of this best-selling book. Their up-to-date introduction to...

Independent association of general and central adiposity with risk of gallstone disease: observational and genetic analyses

BackgroundGeneral obesity is a well-established risk factor for gallstone disease (GSD), but whether central obesity contributes additional independent risk remains controversial. We aimed to comprehensively clarify the effect of body fat d...

A risk evaluation model for channel navigation based on the gray-fuzzy theory

Abstract In view of the fuzziness and randomness of the safety evaluation of the channel navigation environment, a risk evaluation model of the channel navigation is established with the set-valued statistics and the gray theory. A safety e...

Korean Red Ginseng exhibits no significant adverse effect on disease activity in patients with rheumatoid arthritis: a randomized, double-blind, crossover study

Background: Panax ginseng is a well-known immune modulator, and there is concern that its immune-enhancing effects may negatively affect patients with rheumatoid arthritis (RA) by worsening symptoms or increasing the risk of adverse effects...

A Novel Slow-Growing Gross Error Detection Method for GNSS/Accelerometer Integrated Deformation Monitoring Based on State Domain Consistency Theory

The accuracy and integrity of structural deformation monitoring can be improved by the GNSS/accelerometer integrated system, and gross error detection is the key to further improving the reliability of GNSS/accelerometer monitoring. Traditi...

Barriers to the functionality and responsiveness of the malaria surveillance and data use system in Cameroon: a qualitative cross-sectional study.

Event-Based Moving Target Defense in Cloud Computing With VM Migration: A Performance Modeling Approach

The domain of information security is undergoing significant evolution to address the increasingly complex challenges aimed at bolstering system resilience against attacks. The Moving Target Defense (MTD) methodology, which entails altering...

Organically distributed sustainable storage clusters

The ability to create low-cost, high-availability, moderate-performance, low-power, sustainable file storage clusters that may be organically distributed throughout an organization would allow organizations to bring data back from cloud-bas...

Hybrid spatio-temporal transformer and variational autoencoder framework for advanced sports injury prediction and analysis

Sports injuries significantly affect sports performance and overall health, making using accurate and reliable prognostic models imperative. Conventional algorithms for injury prediction, e.g., random forest and XGBoost, generally cannot un...

A Review of Cybersecurity Concerns for Transactive Energy Markets

Advances in energy generation and distribution technology have created the need for new power management paradigms. Transactive energy markets are integrated software and hardware systems that enable optimized energy management and direct t...

Data Mining Techniques for Predictive Maintenance in Manufacturing Industries a Comprehensive Review

Predictive maintenance (PdM) is one of the major methods used in modern manufacturing to realize downtime minimization, lower the cost of maintenance and maximize machine service life by analyzing the collected data using data mining method...