ISSN: 2535-1451 (Online) 2535-1443 (Print) JCSIS Journal of Computer Science and Information Systems It provides an international forum for researchers
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Explore our collection of 61 published research papers
Explainable AI-Driven Fraud Detection System for Real-Time Transaction Monitoring in Digital Payment Platforms.
Digital payment platforms process massive volumes of transactions in real time, creating significant challenges for fraud detection systems due to the high velocity of data streams, evolving fraud str...
Swarm Intelligence-Enhanced Gradient Boosting Framework for Credit Default Risk Prediction in Banking Institutions.
Credit default risk prediction is a fundamental task in banking institutions, as inaccurate assessment of borrower risk can lead to increased non-performing loans, capital losses, regulatory pressure,...
Attention-Based Bidirectional LSTM Network for Early Detection of Financial Market Crashes and Systemic Risk Events.
Financial market crashes and systemic risk events represent highly disruptive phenomena characterized by abrupt price collapses, volatility explosions, liquidity shortages, contagion effects, investor...
Applying Deep Learning Algorithms to Automatically Detect Unforeseen Accidents in Challenging CCTV Monitoring Environments Within Tunnels.
Tunnel CCTV monitoring plays a critical role in ensuring traffic safety, emergency response, and infrastructure protection, particularly in environments where accidents can rapidly escalate due to lim...
Deep Reinforcement Learning-Based Algorithmic Trading Strategy for Portfolio Optimization in Volatile Financial Markets.
Volatile financial markets are characterized by rapid price fluctuations, nonlinear asset interactions, regime shifts, liquidity instability, and high exposure to systemic and unsystematic risks, maki...
Optimization of Ensemble Machine Learning Models for Forex Exchange Rate Forecasting Using Bayesian Hyperparameter Tuning.
Foreign exchange rate forecasting is a highly complex financial prediction problem due to the nonlinear, nonstationary, and volatile behavior of currency markets, which are strongly influenced by macr...
Temporal Fusion Transformer for Multi-Step Ahead Cryptocurrency Price Forecasting with Uncertainty Quantification
Cryptocurrency markets are characterized by extreme volatility, nonlinear price dynamics, strong temporal dependencies, and sensitivity to market sentiment, liquidity fluctuations, and macroeconomic u...
Hybrid Deep Learning and Sentiment Analysis Framework for High-Frequency Stock Market Prediction Using Social Media Data.
High-frequency stock market prediction is a challenging financial forecasting task due to the nonlinear, noisy, and rapidly changing nature of intraday price movements. Traditional forecasting models ...
Generative Deep Learning Model for Simulation and Optimization of Electrodialysis Reversal Desalination Processes.
Electrodialysis Reversal desalination is an important membrane-based separation process for treating brackish water and moderately saline feed streams, particularly because it can periodically reverse...
Transfer Learning-Based Anomaly Detection for Early Fouling Identification in High-Pressure Desalination Membranes.
High-pressure desalination membranes are essential components in modern desalination systems, particularly in Reverse Osmosis and nanofiltration processes, where they enable efficient salt removal and...
Multi-Objective Particle Swarm Optimization for Energy-Cost Trade-off in LargeScale Reverse Osmosis Desalination Networks.
Large-scale Reverse Osmosis desalination networks are increasingly used to meet rising freshwater demand in water-scarce regions, but their operation is strongly constrained by high energy consumption...
Explainable Machine Learning Models for Identifying Key Operational Parameters Affecting Desalination Plant Performance.
Desalination plant performance is influenced by a complex interaction of operational, environmental, and water quality parameters that affect freshwater production, energy consumption, membrane integr...