The digital market trend is rapidly expanding due to key characteristics like decentralization,
accessibility, and market diversity enabled by blockchain technology. This study proposes a …

The irregular movement of cryptocurrency market makes effective price forecasting a
challenging task. Price fluctuations in cryptocurrencies often appear to be arbitrary that has …

Purpose Deep learning (DL) is on the rise because it can make predictions and judgments
based on data that is unseen. Blockchain technologies are being combined with DL …

The rapid evolution of cryptocurrency markets and the increasing complexity of trading
strategies necessitate a comprehensive understanding of price-prediction models and their …

Purpose This paper aims to investigate the role of price-based information from major
cryptocurrencies, foreign exchange, equity markets and key commodities in predicting the …

Abstract The Internet of Things (IoT) connects more objects used in the modern world. To
connect IoT nodes, it needs maintenance services, robustness, frictionless authentication …

This study presents a comparative analysis of various deep learning (DL) methods for multi-
input and multi-output (MIMO) time-series forecasting of stock prices. The analysis is …

The advancement of the Internet of Things applications (technologies and enabling
platforms), consisting of software and hardware (eg, sensors, actuators, etc.), allows …

This study presents an innovative approach for predicting cryptocurrency time series,
specifically focusing on Bitcoin, Ethereum, and Litecoin. The methodology integrates the use …

In this paper, we utilize a machine learning model (the convolutional neural network) to
analyze aerial images of winter hard red wheat planted areas and cloud coverage over the …