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
Large Language Model Fine-Tuning for Domain-Specific Knowledge Extraction in Renewable Energy, Medical, and Financial Research Literature
Domain-specific research literature in renewable energy, medical sciences, and finance contains extensive specialized knowledge, including technical terminology, methodological descriptions, experimen...
Adaptive Neuro-Fuzzy Inference System Optimized by Cuckoo Search Algorithm for Multi-Domain Regression and Classification Problems.
Multi-domain regression and classification problems are characterized by heterogeneous data structures, nonlinear input-output relationships, uncertainty, noise, missing values, and domain-specific fe...
Attention Transformer-Based Model for Anomaly Detection Across Heterogeneous IoT Sensor Streams in Smart Industrial Systems.
Smart industrial systems increasingly depend on heterogeneous Internet of Things sensor streams to monitor equipment health, production stability, energy consumption, environmental conditions, and ope...
Explainable Artificial Intelligence Benchmark Study: Comparative Analysis Across Healthcare, Energy, and Financial Prediction Tasks
Explainable artificial intelligence has become essential for improving transparency, trust, accountability, and regulatory acceptance of predictive models deployed in high-impact domains such a...
Multi-Task Learning Architecture for Simultaneous Prediction of Water Quality, Energy Output, and Financial Volatility Indices.
Water quality monitoring, energy output forecasting, and financial volatility prediction represent three critical but heterogeneous time-dependent prediction problems that support environmental sustai...
Quantum-Inspired Optimization Algorithms for Training Deep Neural Networks in Resource-Constrained Edge Computing Environments.
Resource-constrained edge computing environments require intelligent models that can operate under strict limitations related to memory capacity, computational power, energy consumption, communication...
Internet of Things-Enabled Predictive Analytics Using Deep Learning for Integrated Smart City Infrastructure Management.
Smart city infrastructure management requires continuous monitoring, intelligent decision-making, and proactive maintenance across highly interconnected urban systems, including transportation network...
A Unified Deep Learning Framework for Cross-Domain Transfer Learning in Medical Imaging, Energy Forecasting, and Financial Risk Assessment.
Cross-domain transfer learning has become an important research direction for developing intelligent systems that can generalize across heterogeneous data environments, particularly in domains where l...
Harris Hawks Optimization-Tuned Extreme Gradient Boosting for Bankruptcy Prediction in Emerging Market Economies.
Bankruptcy prediction in emerging market economies is a complex and high-stakes financial classification problem due to unstable macroeconomic conditions, limited disclosure quality, market ine...
Convolutional Neural Network-Based Pattern Recognition in Candlestick Charts for Automated Technical Analysis and Trading Signals.
Candlestick chart analysis is widely used in financial markets to interpret price behavior, identify trend continuation or reversal patterns, and generate trading signals; however, traditional technic...
Multi-Agent Deep Reinforcement Learning for Decentralized Portfolio Management Under Stochastic Market Conditions.
Decentralized portfolio management under stochastic market conditions is a complex sequential decision-making problem characterized by uncertain asset returns, dynamic correlations, transaction...
Variational Autoencoder Combined with LSTM for Anomaly Detection and Regime Change Identification in Financial Time Series.
Financial time series are highly complex, nonlinear, and nonstationary, frequently exhibiting abnormal movements, volatility clustering, structural breaks, and sudden regime transitions caused by mark...