[HTML][HTML] Predicting Saudi Stock Market Index by Using Multivariate Time Series Based on Deep Learning
Time-series (TS) predictions use historical data to forecast future values. Various industries,
including stock market trading, power load forecasting, medical monitoring, and intrusion …
including stock market trading, power load forecasting, medical monitoring, and intrusion …
Deep Reinforcement Learning in Stock Trading: Evaluating DDPG and DQN Strategies
N Kodurupaka, HM Basavadeepthi… - … on Emerging Smart …, 2024 - ieeexplore.ieee.org
This study presents a comparative analysis of the Deep Q-Network (DQN) and Deep
Deterministic Policy Gradient (DDPG) reinforcement learning algorithms in the context of …
Deterministic Policy Gradient (DDPG) reinforcement learning algorithms in the context of …
Benefits of Using Distributed Ledger Technology in Managing Assets of Firm
K Khan, B Kumar, R Singh, S Sood… - 2023 6th International …, 2023 - ieeexplore.ieee.org
This research paper has explained the scenario of understanding the DLT process where it
has accumulated different knowledge and ideas. Objectives have been prepared on getting …
has accumulated different knowledge and ideas. Objectives have been prepared on getting …
Basic Approach for Design of Dual Band Microstrip Patch Antenna for Wi-Fi Application
S Salvekar, S Joshi, S Jagtap… - Mathematical Statistician …, 2022 - philstat.org
This paper presents a Dual band microstrip patch antenna for wireless communication. In its
most basic form, a micro strip patch antenna consists of a Radiating patch on one side of a …
most basic form, a micro strip patch antenna consists of a Radiating patch on one side of a …