Unleashing the potential of blockchain and machine learning: Insights and emerging trends from bibliometric analysis

N El Akrami, M Hanine, ES Flores, DG Aray… - IEEE Access, 2023 - ieeexplore.ieee.org
Blockchain and machine learning (ML) has garnered growing interest as cutting-edge
technologies that have witnessed tremendous strides in their respective domains …

Semantic and instance segmentation in coastal urban spatial perception: A multi-task learning framework with an attention mechanism

H Zhang, H Liu, C Kim - Sustainability, 2024 - mdpi.com
With the continuous acceleration of urbanization, urban planning and design require more in-
depth research and development. Street view images can express rich urban features and …

An ensemble learning method for Bitcoin price prediction based on volatility indicators and trend

A Bâra, SV Oprea - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Predicting the price of Bitcoin poses a challenge for researchers, merchants, traders and
investors alike. This paper delves into the analysis of a Bitcoin price and volume dataset …

[HTML][HTML] A short video sentiment analysis model based on multimodal feature fusion

H Shi - Systems and Soft Computing, 2024 - Elsevier
With the development of the internet, the number of short video platform users has increased
quickly. People's social entertainment mode has gradually changed from text to short video …

GHE-Ensemble: Enhanced Hybrid Image Enhancement Model for Night Vision Multi-Object detection in Autonomous Vehicle

P Ranjitha, SB Atham - Journal of Electrical Systems, 2024 - search.proquest.com
Autonomous vehicle is the exponential growing topic in the research filed due its huge
demand in the current industry. Where object detection plays the major role to take any …

Leveraging LSTM Self-Attention and BP Neural Network for Early Warning Detection of Network Security Vulnerabilities

J Li, L Lu - Available at SSRN 4697902 - papers.ssrn.com
In response to the evolving nature of network security threats driven by advancements in
computer engineering, there is an increasing demand for advanced early warning and …