Results 31 to 40 of about 5,234 (206)

Market‐Driving Capability: An Empirical Study on Antecedents and Consequences

British Journal of Management, EarlyView.
Abstract What enables market‐driving behaviour, and is it a worthwhile business strategy? This fundamental question intrigues both managers in firms and researchers in marketing and strategic management, yet surprisingly, it remains underexplored. To this end, we assess the antecedents and consequences of market‐driving capability.
Owais Khan, Andreas Hinterhuber, Anthony Di Benedetto   +2 more
wiley   +1 more source

The Coloniality of Data: Police Databases and the Rationalization of Surveillance from Colonial Vietnam to the Modern Carceral State

The British Journal of Sociology, EarlyView.
ABSTRACT Tracing the early adoption of computer gang databases by the Los Angeles County Sheriff's Department and the Los Angeles Police Department in the 1980s to the deployment of computationally‐assisted surveillance during the Vietnam War, this paper uses a genealogical approach to compare surveillance technologies developed across the arc of ...
Christina Hughes
wiley   +1 more source

NoSQL Databases

International Journal for Research in Applied Science and Engineering Technology, 2018
NoSQL databases are open-source, schema-less, horizontally scalable and high-performance databases. These characteristics make them very different from relational databases, the traditional choice for spatial data. The four types of data stores in NoSQL databases (key-value store, document store, column store, and graph store) contribute to significant
  +4 more sources

Empowering Software Engineers to Design More Secure Web Applications: Guidelines and Potential of Using LLMs as a Recommender Tool

Journal of Software: Evolution and Process, Volume 38, Issue 2, February 2026.
ABSTRACT As software applications get increasingly connected and complex, cybersecurity becomes more and more important to consider during development and evaluation. Software engineers need to be aware of various security threats and the countermeasures that can be taken to mitigate them.
Raffaela Groner, Klara Svensson, Drake Axelrod, Ranim Khojah, Mazen Mohamad, Rebekka Wohlrab   +5 more
wiley   +1 more source

Deep Learning Architectures for Software Fault Prediction: The Impact of Error‐Type Metrics and Class Imbalance

Concurrency and Computation: Practice and Experience, Volume 38, Issue 1, January 2026.
ABSTRACT Software fault prediction (SFP) plays a crucial role in modern software development by enabling early identification of fault‐prone modules and efficient allocation of testing resources. While deep learning approaches have shown promise in this domain, challenges persist regarding architectural choices, metric selection, and class imbalance ...
Khoa Phung, Mehmet E. Aydin, Emmanuel Ogunshile   +2 more
wiley   +1 more source

Comparison between Relational and NoSQL Databases [PDF]

Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics, 2020
Relational databases have not been the only solution for the applications that use them for years. New applications must deal with large volumes of complex, distributed data of different types, whose volume increases very rapidly.
Gianina Mihai
doaj  

Intelligent Parking Service Integration for Dynamic Urban Areas

The Journal of Engineering, Volume 2026, Issue 1, January/December 2026.
• Parking has become a major issue, leading to traffic congestion, environmental pollution and wasted time in urban areas, especially in developing countries. • This work proposes a comprehensive intelligent parking service framework that incorporates edge–cloud data architecture, business process modelling and predictive analytics embedded within ...
Quang Tran Minh, Phat Nguyen Huu, Trong Nhan Phan, Vijayan Sugumaran   +3 more
wiley   +1 more source

Guardians of the Network: An Ensemble Learning Framework With Adversarial Alignment for Evasive Cyber Threat Detection

Engineering Reports, Volume 7, Issue 10, October 2025.
Machine learning‐enhanced NIDS, integrating diverse data sources and rigorous feature selection, achieves near‐perfect detection of sophisticated evasive cyber threats—including APTs, DDoS, zero‐day exploits, and MitM attacks—surpassing industry benchmarks in accuracy, precision, recall, and F1$$ {\mathrm{F}}_1 $$‐score. ABSTRACT Advanced cyber threats
Khandakar Md Shafin, G. M. Abdullah Al Kafi, Saha Reno   +2 more
wiley   +1 more source

Current State of Accountants' Knowledge of Digital Technologies: Evidence From Australia and New Zealand

Accounting &Finance, Volume 65, Issue 3, Page 2649-2664, September 2025.
ABSTRACT Using survey research, we investigate accountants' self‐rated knowledge of a variety of digital technologies (DTs). We find that accountants' self‐rated knowledge of established DTs is almost in line with IES2 requirements, but their self‐rated knowledge of emerging DTs is significantly below IES2 requirements. Of greater concern, we find that
Richard Busulwa, Jacqueline Birt, Adrian Gepp, Grainne Oates   +3 more
wiley   +1 more source

AgriSage: Android‐Based Application for Empowering Farmers With E‐Commerce and AI‐Driven Disease Detection

Engineering Reports, Volume 7, Issue 8, August 2025.
Android‐based application for empowering farmers with E‐commerce. ABSTRACT Agriculture faces critical challenges such as timely disease detection, fragmented market access, and limited use of real‐time technology in the field. To address these issues, we developed AgriSage, an Android‐based intelligent mobile application that integrates artificial ...
Shabeena Naveed, Mujeeb Ur Rehman, Mumtaz Ali Shah, Shahid Sultan, Zafar Ullah Khan, Syed Zarak Shah, Mansoor Iqbal, Muhammad Ahsan Amjed   +7 more
wiley   +1 more source