Journal of Electrical and Computational Innovations(JECI)
Aims and Scope
The Journal of Electrical and Computational Innovations (JECI) is dedicated to the publication of high-quality research in the broad areas of electrical and computational engineering. Our goal is to advance the frontiers of these fields by promoting the dissemination of cutting-edge research and innovative solutions.
Aim
- JECI aims to provide a premier platform for researchers and practitioners to present their latest findings and methodologies.
- Foster interdisciplinary research and collaboration among various domains of electrical and computational engineering.
- Promote the practical application of research to solve real-world problems.
- Encourage the development of new technologies and theoretical advancements.
Scope: The scope of JECI encompasses a wide range of topics within electrical and computational engineering, including but not limited to:
- Electrical Engineering: Power systems, electrical machines, renewable energy systems, smart grids, electrical materials, electromagnetics, signal processing, and communication systems.
- Computational Engineering: Computational methods, algorithm development, simulation and modeling, high-performance computing, software engineering, and data analytics.
- Artificial Intelligence and Machine Learning: AI algorithms, machine learning models, deep learning, neural networks, and applications of AI in engineering.
- Robotics and Automation: Robotics systems, control theory, automation technologies, human-robot interaction, and autonomous systems.
- Interdisciplinary Innovations: Integration of electrical and computational engineering with other disciplines such as biomedical engineering, environmental engineering, and materials science.
Types of Contributions
We welcome a variety of contributions, including:
- Original research articles presenting new findings.
- Review articles providing comprehensive overviews of specific topics.
- Technical notes and short communications on novel techniques or preliminary results.
- Case studies illustrating practical applications and real-world impact.
Editorial Standards All submissions to JECI undergo a rigorous peer-review process to ensure the highest standards of quality and integrity. We are committed to maintaining ethical publication practices and upholding the principles of transparency and reproducibility in research. Some of the subject areas that the journal focuses on include:
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Electrical engineering |
Industrial automation |
Energy storage |
Electric power substations |
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Computational engineering |
Process control |
Microgrids |
Scada systems |
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Power systems |
Manufacturing systems |
Grid integration |
Power system stability |
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Electrical machines |
Cyber-physical systems |
Power electronics |
Power system dynamics |
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Renewable energy systems |
Human-machine interaction |
Power converters |
Load flow analysis |
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Smart grids |
Wearable technology |
Smart meters |
Voltage stability |
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Electrical materials |
Health monitoring systems |
Load forecasting |
Frequency stability |
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Electromagnetics |
Biomedical signal processing |
Energy management |
Microprocessor systems |
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Signal processing |
Bioinformatics |
Electric vehicles |
Digital signal processors |
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Communication systems |
Medical imaging |
Battery management systems |
Analog circuits |
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Computational methods |
Telemedicine |
Photovoltaic systems |
Digital circuits |
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Algorithm development |
Smart healthcare |
Wind energy |
Mixed-signal circuits |
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Simulation and modeling |
Environmental monitoring |
Distributed generation |
Circuit design |
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High-performance computing |
Sensor technology |
Power distribution |
Circuit analysis |
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Software engineering |
Wireless sensor networks |
Power transmission |
Pcb design |
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Data analytics |
Environmental data analysis |
Electromagnetic compatibility |
Electronic instrumentation |
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Artificial intelligence |
Smart cities |
Electromagnetic interference |
Control systems |
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Machine learning |
Sustainable engineering |
Antennas |
Feedback systems |
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Deep learning |
Green technology |
Microwave engineering |
Adaptive control |
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Neural networks |
Smart infrastructure |
Wireless communication |
Robust control |
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Ai algorithms |
Building automation |
Optical communication |
Optimal control |
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Robotics automation |
Hvac systems |
Signal detection |
Nonlinear control |
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Control theory |
Energy-efficient systems |
Signal estimation |
Dynamic systems |
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Automation technologies |
Electric drives |
Image processing |
Mechatronics |
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Human-robot interaction |
Motor control |
Video processing |
Precision engineering |
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Autonomous systems |
Power quality |
Audio processing |
Optical sensors |
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Biomedical engineering |
Harmonic analysis |
Speech processing |
Photonic devices |
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Environmental engineering |
Fault diagnosis |
Sensor networks |
Quantum computing |
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Materials science |
Protection systems |
Iot |
Quantum communication |
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Renewable energy |
Relay coordination |
Internet of things |
Cybersecurity |
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Embedded systems |
Expert systems |
Computational chemistry |
Network security |
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Vlsi, fpga |
Fuzzy logic |
Computational physics |
Encryption techniques |
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Asic |
Evolutionary algorithms |
Computational finance |
Blockchain technology |
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System-on-chip |
Swarm intelligence |
Computational neuroscience |
Smart contracts |
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Computer architecture |
Genetic algorithms |
Computational linguistics |
Distributed ledger technology |
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Parallel computing |
Robotics control |
High-dimensional data |
Cryptography |
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Cloud computing |
Robotic perception |
Sparse data |
Information security |
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Edge computing |
Robotic manipulation |
Large-scale systems |
Privacy preservation |
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Fog computing |
Robotic navigation |
Real-time systems |
Ethical ai |
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Big data |
Autonomous vehicles |
Embedded control systems |
Ai governance |
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Data mining |
Drone technology |
Hardware-software co-design |
Ai ethics |
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Data visualization |
Unmanned aerial vehicles |
Microcontroller programming |
Intelligent systems |
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Data warehousing |
Electric power generation |
Sensor fusion |
Cognitive computing |
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Neural network training |
Distributed energy resources |
Actuator systems |
Emotional computing |
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Neural network optimization |
Grid resilience |
Telecommunication systems |
Social robotics |
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Convolutional neural networks |
Smart grid technologies |
Network protocols |
Assistive robotics |
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Recurrent neural networks |
Energy policy |
Wireless networks |
Rehabilitation robotics |
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Reinforcement learning |
Energy economics |
Optical networks |
Haptic technology |
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Supervised learning |
Energy efficiency |
Satellite communication |
Virtual reality |
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Unsupervised learning |
Sustainable development |
Vehicular networks |
Augmented reality |
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Semi-supervised learning |
Renewable integration |
5g technology |
Mixed reality |
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Transfer learning |
Grid modernization |
6g technology |
Digital twins |
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Natural language processing |
Power system optimization |
Mobile computing |
Simulation technology |
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Speech recognition |
Energy systems modeling |
Ubiquitous computing |
Modeling techniques |
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Computer vision |
Electric load management |
Pervasive computing |
Computational fluid |
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Pattern recognition |
Demand response |
Ambient intelligence |
Dynamics |
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Predictive analytics |
Power system reliability |
Smart grids |
Finite element analysis |
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Decision support systems |
Energy forecasting |
Energy harvesting |
Structural analysis |
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Grid synchronization |
Power market analysis |
Power conditioning |
Thermal analysis |
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Electric power infrastructure |
Microgrid management |
Electric power diagnostics |
Multi-physics simulation |
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Power system monitoring |
Islanding detection |
Smart home technologies |
Computational biology |