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 71 published research papers
Optimized Random Forest Model for Predicting Salt Rejection Rate and Energy Consumption in Reverse Osmosis Desalination.
Reverse Osmosis desalination is widely used for freshwater production because of its high salt removal efficiency and comparatively lower energy demand than many thermal desalination processes. Howeve...
Deep Reinforcement Learning Framework for Dynamic Operational Optimization of Solar-Powered Seawater Desalination Systems.
Solar-powered seawater desalination systems offer a sustainable solution for freshwater production in water-scarce regions by combining renewable energy generation with desalination technologie...
Machine Learning-Driven Energy Optimization in Multi-Stage Flash Desalination Plants Using Gradient Boosting Algorithms.
Multi-Stage Flash (MSF) desalination remains one of the most established thermal desalination technologies for large-scale freshwater production, particularly in regions with high seawater salinity, l...
Hybrid Convolutional Neural Network and Whale Optimization Algorithm for Prediction of Permeate Flux in Nanofiltration Membranes.
Nanofiltration (NF) membranes have become an important separation technology for water treatment, desalination pretreatment, wastewater reuse, hardness removal, organic micropollutant rejection, and s...
Hybrid Convolutional Neural Network and Whale Optimization Algorithm for Prediction of Permeate Flux in Nanofiltration Membranes.
Nanofiltration (NF) membranes have become an important separation technology for water treatment, desalination pretreatment, wastewater reuse, hardness removal, organic micropollutant rejection, and s...
Artificial Intelligence-Enabled Real-Time Monitoring and Control of Membrane Distillation for Brackish Water Treatment.
Membrane Distillation (MD) has emerged as a promising thermally driven separation technology for brackish water treatment, particularly because of its ability to operate at relatively low temperatures...
Deep Learning-Based Predictive Modeling of Reverse Osmosis Membrane Fouling for Seawater Desalination Efficiency Enhancement.
Seawater desalination using Reverse Osmosis (RO) membranes has become one of the most widely adopted technologies for addressing freshwater scarcity, particularly in arid and coastal regions. Despite ...
Extreme Learning Machine Optimized via Differential Evolution for Photovoltaic Output Power Prediction Under Dynamic Weather
Accurate photovoltaic (PV) output power prediction is essential for reliable renewable energy integration, smart grid operation, energy storage scheduling, and real-time power dispatch. PV power gener...
Graph Neural Network-Based Power Flow Optimization for Large-Scale Renewable Energy Integration in Smart Grids.
Large-scale integration of renewable energy resources into smart grids introduces significant operational challenges due to the intermittent, distributed, and uncertain nature of photovoltaic and wind...
Bidirectional Gated Recurrent Unit Network for Hydrogen Production Forecasting from Electrolysis-Based Renewable Systems.
Green hydrogen production through water electrolysis powered by renewable energy sources has emerged as a promising pathway for large-scale decarbonization, long-duration energy storage, sector coupli...
Harris Hawks Optimization Algorithm for Energy-Efficient Load Dispatch in Multi-Source Renewable Power Grids.
Energy-efficient load dispatch is a fundamental optimization problem in modern renewable power grids, particularly as power systems increasingly integrate multiple generation sources such as photovolt...
Stacked Autoencoder-Based Anomaly Detection for Predictive Maintenance of Wind Turbine Mechanical Components.
Wind turbines operate under highly variable environmental and mechanical conditions, including fluctuating wind speed, turbulence, temperature changes, cyclic loading, and continuous rotational stress...