Highlights of Current Issue

Volume 15 Issue 2 Year 2025

The present issue of the journal brings together a diverse and forward-looking collection of research articles spanning structural engineering, sustainable infrastructure, renewable energy systems, artificial intelligence, computational modeling, signal processing, and advanced automotive technologies. The contributions reflect the growing interdisciplinarity of engineering and applied sciences, where data-driven methods, intelligent control, and sustainability-oriented design converge to address contemporary technological challenges.

In the domain of civil and structural engineering, Analysis of Multi-Storey Buildings Under Blast Loads: Influence of Floor Shape on Structural Performance examines structural resilience under extreme loading conditions, highlighting the critical role of floor geometry in mitigating blast-induced damage. Complementing this, An Overview of the Literature on Green-Blue Infrastructures synthesizes current research on sustainable urban planning strategies that integrate ecological systems with built environments to enhance climate resilience and environmental sustainability.

Several articles focus on advances in machine learning and intelligent systems. A Comprehensive Review on Credit Card Fraud Detection: Addressing Data Imbalance and Advancements in Machine Learning Techniques explores modern strategies to combat financial fraud using robust AI-driven methods. Micro-Expression Recognition: A Comprehensive Survey of Methods, Challenges, and Future Directions in Facial Analysis presents an in-depth analysis of subtle facial behavior recognition, with implications for security, psychology, and human–computer interaction. Similarly, Air Canvas: A Gesture-Based Platform for Interactive Digital Drawing and Real-Time Creativity introduces an innovative vision-based interface enabling contactless digital interaction. The issue also features Design and Implementation of a Multipurpose Web Scraper for Financial and Employment Data, demonstrating practical applications of data extraction tools for analytics and decision-making.

In the field of power systems and renewable energy, Viability Assessment of On-Grid Hybrid Power (HPS) Systems for Rural Applications in the Jaisalmer Border Region evaluates sustainable electrification strategies tailored to geographically sensitive regions. Optimal Placement and Sizing of BESS in RES Combined IEEE Network investigates battery energy storage integration for improved grid stability, while Unit Vector Template Control Analogy Control Algorithm for DSTATCOM to Improvement of Power Factor proposes advanced control techniques for reactive power compensation and enhanced power quality.

The issue further highlights advancements in automotive and energy technologies. Design and Implementation of a Driving Assistance System: Guardian Eye presents a smart safety system aimed at reducing road accidents. Advanced Ignition Control and Surveillance Module for Automobiles discusses innovations in engine monitoring and performance optimization. Assessing the Effects of Ternary Oxygenated Fuel Blends on CI Engine Performance and Emissions contributes to cleaner combustion research by evaluating alternative fuel blends for compression ignition engines.

Signal processing and defense-related technologies are addressed in Ambiguity Function Analysis of LFM and Stepped LFM Waveforms, which studies radar waveform performance characteristics. Manufacturing and materials engineering are represented through Comparative Analysis of Non-Linear Regression and Artificial Neural Network for Shrinkage Prediction of HDPE in Injection Molding, offering predictive modeling solutions for industrial processes.

A significant portion of this issue is devoted to computational intelligence and advanced numerical methods. Optimization of Complex Mathematical Functions Using Coded Genetic Algorithm in Python demonstrates evolutionary approaches to solving high-dimensional optimization problems. Several articles explore artificial neural network-based Levenberg–Marquardt techniques for solving complex mathematical and physical models, including Data Driven ANN-ML based Levenberg Marquardt Algorithm for Fractional Coupled Differential Equations, Intelligent Computational Machine Learning Approach for Solving 3D Heat-Like Equation, and Artificial Intelligence Based Levenberg Marquardt Approach to Solving Tsunami Wave Propagation Model. These contributions underscore the transformative role of AI in solving nonlinear and computationally intensive scientific problems.

Overall, this issue showcases cutting-edge research that integrates theoretical modeling, experimental validation, and intelligent computational techniques. The breadth of topics reflects the dynamic evolution of engineering sciences toward resilient infrastructure, sustainable energy solutions, smart automation, and AI-driven problem solving. Collectively, the articles provide valuable insights for researchers, academicians, industry professionals, and policymakers committed to advancing technological innovation and sustainable development.