Academic Articles & Research Papers

Experimentation in software engineering

A framework is presented for analyzing most of the experimental work performed in software engineering over the past several years. The framework of experimentation consists of four categories corresponding to phases of the experimentation ...

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...

Notch/NF-κB crosstalk signaling controls SASP gene expression during brain aging.

Video-based communication assessment for weight management counseling training in medical residents: a mixed methods study

Abstract Background Physician delivered weight management counseling (WMC) occurs infrequently and physicians report lack of training and poor self-efficacy. The purpose of this study was to develop and test the Video-based Communication As...

Regional flow analysis for the Valle del Cauca Region in Colombia

Flow frequancy analysis of high and low flows is curry out
 by using the regional Probability Weighted Moments (PWM) algorithm. The distributions fitted to the región area: General extreme value (GEV), Wakeby, Extreme value type 1 (EVl)...

Energy statistics: A class of statistics based on distances

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...

A new extension of linear failure rate distribution with estimation, simulation, and applications

In this article, we provide a new three-parameter model derived from the newly reduced Cauchy power-G family and linked to the linear failure rate model. The truncated Cauchy power linear failure rate (TCPLFR) is the name given to this dist...

Variation Characteristics of Annual Baseflow at Different Frequencies in Upper Yangtze River Using a Digital Filtering Method

[Objective] Addressing critical gaps in understanding the Upper Yangtze River Basin (UYRB) baseflow dynamics is essential for regional water security and ecological sustainability. This study presents the first comprehensive multi-station a...

Prior Season Crop Type Masks for Winter Wheat Yield Forecasting: A US Case Study

Monitoring and forecasting crop yields is a critical component of understanding and better addressing global food security challenges. Detailed spatial information on crop-type distribution is fundamental for in-season crop condition monito...

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...

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...

Detecting command injection attacks in web applications based on novel deep learning methods

Abstract Web command injection attacks pose significant security threats to web applications, leading to potential server information leakage or severe server disruption. Traditional detection methods struggle with the increasing complexity...

A Bloom filter-based dynamic symmetric searchable encryption scheme over cloud data

Abstract In this paper, a searchable encryption scheme for cloud data is proposed to address the limitations of existing schemes, which suffer from inefficient index construction and search process, as well as a lack of support for dynamic ...

Beyond Herd Immunity Against Strategic Attackers

Herd immunity, one of the most fundamental concepts in network epidemics, occurs when a large fraction of the population of devices is immune against a virus or malware. The few individuals who have not taken countermeasures against the thr...

Addressing Industry 4.0 Cybersecurity Challenges

Awareness is building on how managers should be involved in Industry 4.0 cybersecurity. This awareness and concern derives from heavy dependence of integrated information systems and technology for Industry 4.0. Manufacturing companies rely...

The Role of Machine Learning in Cybersecurity

Machine Learning (ML) represents a pivotal technology for current and future information systems, and many domains already leverage the capabilities of ML. However, deployment of ML in cybersecurity is still at an early stage, revealing a s...

Cybersecurity for Industry 4.0 in the current literature: A reference framework

Experiential Learning: Innovative Approaches to Post-Secondary Cybersecurity Education

The cybersecurity profession continues to face a significant shortfall of qualified professionals despite steady growth in degree programs. Employers consistently cite experience as the main barrier for entry-level cybersecurity hires. This...