Narrow search
Showing 1 - 10 of 77
Cover Image
A global cyber-threat intelligence system with artificial intelligence and convolutional neural network
Sufi, Fahim - In: Decision analytics journal 9 (2023), pp. 1-12
in the cyber-threat spectrum and uses sophisticated AI-based algorithms for anomaly detection, prediction, sentiment …
Persistent link: https://www.econbiz.de/10014533236
Cover Image
A new two-phase intrusion detection system with Naïve Bayes machine learning for data classification and elliptic envelop method for anomaly detection
Vishwakarma, Monika; Kesswani, Nishtha - In: Decision analytics journal 7 (2023), pp. 1-8
Technology is pivotal in the rapid growth of services and intensifying the quality of life. Recent technology, like the Internet of Things (IoT), demonstrates an impressive performance in fast-forward development. Intrusion Detection System (IDS) is used as a lifeline to prevent attacks by...
Persistent link: https://www.econbiz.de/10014436765
Cover Image
A hybrid deep learning classifier and Optimized Key Windowing approach for drift detection and adaption
Talapula, Dharani Kumar; Kumar, Adarsh; Ravulakollu, … - In: Decision analytics journal 6 (2023), pp. 1-25
algorithm. The other advantage of the proposed model lies in adapting the classifier with varying data patterns, which is …
Persistent link: https://www.econbiz.de/10014506219
Cover Image
A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning
Bansal, Malti; Goyal, Apoorva; Choudhary, Apoorva - In: Decision analytics journal 3 (2022), pp. 1-21
machine learning algorithms namely-K-Nearest Neighbor (KNN), Genetic Algorithm (GA), Support Vector Machine (SVM), Decision … previously present data automatically. It makes use of multiple algorithms to build models, mathematical in nature, and then … venturing into the field of ML. This paper throws light on various new results and conclusions related to these algorithms via …
Persistent link: https://www.econbiz.de/10013339256
Cover Image
An investigation of cyber attack impact on consumers' intention to purchase online
Wahab, Fazal; Khan, Imran; Kamontip; Hussain, Tariq; … - In: Decision analytics journal 8 (2023), pp. 1-9
E-commerce technologies are increasingly adopted and used because they give companies a competitive edge and boost their profitability through access to international markets. Even though global e-commerce has grown over the past few years, many consumers lack confidence in e-commerce purchases....
Persistent link: https://www.econbiz.de/10014517304
Cover Image
A systematic review of Explainable Artificial Intelligence models and applications : recent developments and future trends
Saranya, A.; Subhashini, R. - In: Decision analytics journal 7 (2023), pp. 1-14
-world problems. Machine learning and deep learning are Artificial intelligence technologies that use algorithms to predict outcomes …) that can provide explanations for their decision or predictions to human users. XAI aims to increase the transparency …
Persistent link: https://www.econbiz.de/10014436688
Cover Image
A comprehensive review of blockchain technology : underlying principles and historical background with future challenges
Tripathi, Gautami; Ahad, Mohd Abdul; Casalino, Gabriella - In: Decision analytics journal 9 (2023), pp. 1-21
the popularity of blockchain technology. The paper also discusses the various consensus algorithms of blockchain …
Persistent link: https://www.econbiz.de/10014532566
Cover Image
Power genesis in social networks : an entropy-driven decision support model with conditional data
Rödder, Wilhelm; Dellnitz, Andreas; Reucher, Elmar - In: Decision analytics journal 1 (2021)
Power is a central phenomenon in human societies. Sociologists, politicians, philosophers in all cultures try to understand emergence and change processes of power. What was missing for a long time is measurement of power. First attempts were made in the last decades. This contribution...
Persistent link: https://www.econbiz.de/10013163022
Cover Image
A predictive analytics model for COVID-19 pandemic using artificial neural networks
Kuvvetli, Yusuf; Deveci, Muhammet; Paksoy, Turan; Garg, … - In: Decision analytics journal 1 (2021)
The COVID-19 pandemic spread rapidly around the world and is currently one of the most leading causes of death and heath disaster in the world. Turkey, like most of the countries, has been negatively affected by COVID-19. The aim of this study is to design a predictive model based on artificial...
Persistent link: https://www.econbiz.de/10013163050
Cover Image
The applications of artificial neural networks, support vector machines, and long-short term memory for stock market prediction
Chhajer, Parshv; Shah, Manan; Kshirsagar, Ameya - In: Decision analytics journal 2 (2022)
The future is unknown and uncertain, but there are ways to predict future events and reap the rewards safely. One such opportunity is the application of machine learning and artificial intelligence for stock market prediction. The stock market is turbulent, yet using artificial intelligence to...
Persistent link: https://www.econbiz.de/10013163098