IJITDM publishes top research on the latest information technology decision–making techniques which include academic (theoretical or empirical) and practical papers.

Call for Papers Energy Transition and Green Finance in the Post-COVID Era Aims & Scope: The COVID-19 pandemic has profoundly reshaped global economic systems, energy markets, and environmental ...

Discover a curated collection of e-books on Artificial Intelligence (AI) and the Internet of Things (IoT), covering topics from deep learning, machine learning, neuromorphic computing, robotics, ...

IJMPB covers important progress in Condensed Matter Physics, Statistical Physics, and Atomic, Molecular and Optical Physics, including novel topological, low dimensional materials.

Functional Materials Letters is an international peer-reviewed scientific journal for original contributions to research on the synthesis, behavior and characterization of functional materials.

Abstract The evolution of soft robotics has unlocked new design possibilities for adaptable and safe robotic systems, particularly in medical applications. Among these advancements, fluid-driven soft ...

Dedicated to innovative and consequential research in applied mechanics, including newly emerging areas such as biomechanics, electromechanics, the mechanical behavior of advanced materials, ...

Presents forefront research in Algebra, Analysis, Appl. Math, Dynamical Systems, Geometry, Math. Physics, Number Theory, PDEs, Topology for original research ...

Functional Materials Letters is an international peer-reviewed scientific journal for original contributions to research on the synthesis, behavior and characterization of functional materials.

IJMSSC is a forum for researchers in the fields of system modeling, simulation and scientific computing to publish the latest theoretical results and their practical applications.

This special issue publishes original high quality research papers mainly in two subjects: Fuzzy sets and fuzzy algebra, and algebraic hyperstructures.

Fluctuations in socioeconomic indicators and energy/environmental dynamics are common and complicated system knowledge. Traditional linear models cannot effectively capture these nonlinear changes.