A comprehensive comparative study of artificial neural network (ANN) and support vector machines (SVM) on stock forecasting

A Kurani, P Doshi, A Vakharia, M Shah - Annals of Data Science, 2023 - Springer
From exchanging budgetary instruments to tracking individual spending plans to detail a
business's profit, money-related organisations utilise computational innovation day by day …

Machine learning for intelligent data analysis and automation in cybersecurity: current and future prospects

IH Sarker - Annals of Data Science, 2023 - Springer
Due to the digitization and Internet of Things revolutions, the present electronic world has a
wealth of cybersecurity data. Efficiently resolving cyber anomalies and attacks is becoming a …

Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness

A Di Vaio, R Hassan, C Alavoine - Technological Forecasting and Social …, 2022 - Elsevier
This study investigates the literary corpus of the role and potential of data intelligence and
analytics through the lenses of artificial intelligence (AI), big data, and the human–AI …

A survey of 5G network systems: challenges and machine learning approaches

H Fourati, R Maaloul, L Chaari - International Journal of Machine Learning …, 2021 - Springer
Abstract 5G cellular networks are expected to be the key infrastructure to deliver the
emerging services. These services bring new requirements and challenges that obstruct the …

Genetic algorithms in the fields of artificial intelligence and data sciences

A Sohail - Annals of Data Science, 2023 - Springer
In the fields of engineering and data sciences, the optimization problems arise on regular
basis. With the progress in the field of scientific computing and research, the optimization is …

A review on applications of chaotic maps in pseudo-random number generators and encryption

RB Naik, U Singh - Annals of Data Science, 2024 - Springer
Because of the COVID-19 pandemic, most of the tasks have shifted to an online platform.
Sectors such as e-commerce, sensitive multi-media transfer, online banking have …

A comprehensive survey of anomaly detection algorithms

D Samariya, A Thakkar - Annals of Data Science, 2023 - Springer
Anomaly or outlier detection is consider as one of the vital application of data mining, which
deals with anomalies or outliers. Anomalies are considered as data points that are …

Student-performulator: Predicting students' academic performance at secondary and intermediate level using machine learning

S Hussain, MQ Khan - Annals of data science, 2023 - Springer
Forecasting academic performance of student has been a substantial research inquest in
the Educational Data-Mining that utilizes Machine-learning (ML) procedures to probe the …

A comprehensive study of artificial intelligence and cybersecurity on bitcoin, crypto currency and banking system

T Choithani, A Chowdhury, S Patel, P Patel… - Annals of Data …, 2024 - Springer
In recent years cryptocurrencies are emerging as a prime digital currency as an important
asset and financial system is also emerging as an important aspect. To reduce the risk of …

Artificial intelligence-driven scalability and its impact on the sustainability and valuation of traditional firms

R Moro-Visconti, S Cruz Rambaud… - Humanities and Social …, 2023 - nature.com
The objective of this study is to determine the impact of artificial intelligence (AI) on the
earnings before interest, taxes, depreciation, and amortization (EBITDA) of firms as a proxy …