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Article
Dynamic datasets and market environments for financial reinforcement learning
The financial market is a particularly challenging playground for deep reinforcement learning due to its unique feature of dynamic datasets. Building high-quality market environments for training financial rei...
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Chapter and Conference Paper
SSCL: Semi-supervised Contrastive Learning for Industrial Anomaly Detection
Anomaly detection is an important machine learning task that aims to identify data points that are inconsistent with normal data patterns. In real-world scenarios, it is common to have access to some labeled a...
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Article
Retraction Note: Enhanced bat algorithm for COVID-19 short-term forecasting using optimized LSTM
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Article
Rural Consumers’ Financial Literacy and Access to FinTech Services
The study aims to show the impact of financial knowledge among rural consumers’ access to financial technology services. In general, knowledge regarding any particular fact helps consumers to select or reject ...
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Article
PPDMIT: a lightweight architecture for privacy-preserving data aggregation in the Internet of Things
Data is generated over time by each device in the Internet of Things (IoT) ecosphere. Recent years have seen a resurgence in interest in the IoT due to its positive impact on society. However, due to the autom...
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Article
RETRACTED ARTICLE: Enhanced bat algorithm for COVID-19 short-term forecasting using optimized LSTM
The highly infectious COVID-19 critically affected the world that has stuck millions of citizens in their homes to avoid possible spreading of the disease. Researchers in different fields are continually worki...
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Article
Studying of the photoluminescence characteristics of AgInS2 quantum dots
The optical properties of AgInS2 quantum dots (QDs), with the average size being 5 nm, are studied in detail. The photoluminescence (PL) of AgInS2 QDs in solution and aggregation state exhibits an unusual tempera...
