Aims

Nonlinear Science and Intelligent Applications (NSIA) aims to provide an international platform for disseminating high-quality research in nonlinear dynamics, chaos theory, fractal systems, and complex networks, with a particular focus on their integration with artificial intelligence, machine learning, and computational intelligence. It aims to bridge theoretical developments with practical applications and encourages multidisciplinary approaches spanning mathematics, computer science, engineering, physics, electronics, and biomedical sciences.

NSIA promotes rigorous theoretical exploration alongside computational and experimental studies that link nonlinear dynamics with intelligent functions. It seeks to highlight research that transcends traditional disciplinary borders and contributes to a deeper understanding of complex system behavior under nonlinearity. The journal welcomes full-length research articles, concise communications, comprehensive reviews, and well-scoped Special Issues.

NSIA is particularly attentive to reproducibility, methodological transparency, and systems-level insights. It supports open-ended contributions that document novel models, simulations, control strategies, or intelligent mechanisms rooted in nonlinear principles. All accepted papers benefit from high discoverability and editorial guidance supported by a diverse and distinguished international board.

Furthermore, NSIA highlights the following features:

• Every publication benefits from prominent indexing, ensuring widespread recognition.

• A distinguished editorial team upholds unparalleled quality and broad appeal.

• Seamless online discoverability of each article maximizes its global reach.

• An author-centric and transparent publication process enhances the submission experience.

Scope

NSIA publishes original research articles, reviews, and short communications that cover both the theoretical foundations and practical implementations of nonlinear science and intelligent technologies. The journal welcomes contributions in, but not limited to, the following areas:

• Nonlinear Dynamics and Chaos Theory: Bifurcation analysis, stability analysis, chaotic oscillators, chaos synchronization, strange attractors.

• Fractals and Complex Systems: Fractal geometry, multifractal analysis, complex networks, self-organizing systems, emergent behavior.

• Chaos-Based Applications: Chaos-based cryptography, random number generation, secure communication systems, image and signal encryption.

• Computational Intelligence and Machine Learning: Chaos-inspired algorithms, evolutionary computation, metaheuristic optimization, hybrid artificial intelligence models.

• Nonlinear Control and Optimization: Adaptive control, chaos control strategies, nonlinear system optimization, control of engineering and industrial processes.

• Electronics and Circuits: Chaotic circuits, FPGA/ASIC implementations of nonlinear systems, nonlinear electronic devices and sensors.

• Signal and Image Processing: Nonlinear filtering techniques, biomedical signal analysis (EEG, ECG, EMG), pattern recognition in nonlinear domains.

• Biomedical and Health Applications: Nonlinear modeling in physiology, intelligent diagnostic systems, chaos theory in medical imaging and bioinformatics.

• Engineering and Industrial Systems: Nonlinear modeling and control in robotics, Internet of Things (IoT), cyber-physical systems, smart grids, and renewable energy systems.

  Emerging Technologies: Quantum chaos, nonlinear models in big data analytics, intelligent simulations and forecasting of emerging technologies

  NSIA distinguishes itself by bridging the rigor of nonlinear science with the adaptability of intelligent systems. It encourages forward-thinking research that challenges assumptions, redefines complexity, and opens new frontiers for intelligent technologies shaped by nonlinear phenomena.