JCTAM OPEN ACCESS

Journal of Computer Technology and Applied Mathematics

ISSN:3007-4126 (print) | ISSN:3007-4134 (online) | Publication Frequency: Bimonthly

Current Issue

All articles published in this issue have undergone a thorough peer review process, and stringent checks for repetition rates have been implemented to ensure the integrity of the content.

Total number of articles in this issue: 7
Total number of pages in this issue: 50

For inquiries regarding the content of specific articles, please feel free to contact the respective authors via their provided email addresses. For questions related to the journal itself, please reach out directly to SUAS Press.

Year

2025

Volume

2

Number

6

Status

Archived

Published

2025 November 4

Articles

Daily Asset Pricing Based on Deep Learning: Integrating No-Arbitrage Constraints and Market Dynamics

10.70393/6a6374616d.333235
ark:/40704/JCTAM.v2n6a01
Authors: Yinlei Chen.
Abstract: We propose a novel deep learning approach to asset pricing that predicts individual stock returns using daily data while integrating no-arbitrage constraints and capturing market dynamics. Our model c...

Application Development with AI: a Case Study of Application x Development Progress

10.70393/6a6374616d.333236
ark:/40704/JCTAM.v2n6a02
Authors: .
Abstract: Artificial intelligence (AI) has taken a leading position in various fields, especially in the development of information solutions. This article presents a case study of mobile application user inter...

Prophet with Exogenous Variables for Procurement Demand Prediction under Market Volatility

10.70393/6a6374616d.333237
ark:/40704/JCTAM.v2n6a03
Authors: .
Abstract: Addressing the issue of insufficient accuracy in procurement demand forecasting under market volatility, this study investigates the Prophet model with exogenous variables. It outlines the comprehensi...

LSTM-Based Deep Learning Models for Long-Term Inventory Forecasting in Retail Operations

10.70393/6a6374616d.333238
ark:/40704/JCTAM.v2n6a04
Authors: .
Abstract: Given the complex fluctuations and extended forecasting cycles inherent in retail inventory, this study investigates the application of LSTM deep learning models for inventory time series forecasting....

Funding-Rate Driven Routing in Financial Prediction Systems

10.70393/6a6374616d.333332
ark:/40704/JCTAM.v2n6a05
Authors: Xueyi Cheng.
Abstract: Financial forecasting models tend to be based on past market action trends. While such methods are very good under steady-state conditions, financial markets tend to change abruptly due to a change in...

Fostering Deep Belonging Through Culturally-Responsive AI Mentorship Agents: An Identity-Affirming Framework for Educational Support

10.70393/6a6374616d.333334
ark:/40704/JCTAM.v2n6a06
Authors: ; .
Abstract: Culturally-responsive AI mentorship agents represent a substantial change in educational technology, addressing critical gaps between personalized learning systems and students' psychological needs fo...

Sales Resource Optimization Based on Customer Lifetime Value (CLV): A Data-Driven Dynamic Decision Model

10.70393/6a6374616d.333335
ark:/40704/JCTAM.v2n6a07
Authors: .
Abstract: This study proposes a framework for a dynamic decision-making model based on Customer Lifetime Value (CLV) to optimize sales resources. This model prioritizes profitability as a benchmark for customer...
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