World Top Scientists Awards

Modern vehicles demand high safety, stability, and intelligent braking performance , especially under unpredictable road conditions. 🌧️🛣️ One of the most critical challenges in automotive control is achieving reliable Anti-Lock Braking System (ABS) operation when the tire–road friction coefficient is unknown or rapidly changing . This research focuses on an advanced solution: a Nonlinear Disturbance Observer-Based Adaptive ABS Control strategy for Electro-Hydraulic Brake (EHB) systems. ⚙️🚘 🌟 Key Concept Overview 🔹 Electro-Hydraulic Brake Systems (EHB) Electro-hydraulic braking combines electronic control with hydraulic actuation, offering faster response and improved braking precision. 🛠️⚡ However, nonlinear dynamics and uncertainties make control design complex. 🌀 Core Research Topics & Subtopics 1️⃣ Nonlinear System Modeling 📉 Representation of nonlinear brake actuator dynamics Tire slip ratio behavior under braking Coupled wheel–vehicle motion equations ...

 Industrial sectors such as steel, cement, chemical processing, and power plants release a massive amount of waste heat into the environment. Instead of letting this valuable energy vanish, Organic Rankine Cycle (ORC) systems provide an innovative pathway to convert low-to-medium temperature waste heat into useful electricity 🌱🔋. This approach supports energy efficiency, sustainability, and greener industrial development. 🔥 1. Energy Analysis of ORC Systems Energy analysis focuses on how effectively waste heat is transformed into mechanical power and electricity. 📌 Key Subtopics: Heat source characterization in industries Working fluid selection (eco-friendly refrigerants) Thermal efficiency improvement techniques Performance evaluation under varying temperatures Energy-based studies highlight the potential of ORC in maximizing recovered power output ⚙️✨. ♻️ 2. Exergy Analysis for System Optimization Unlike energy analysis, exergy analysis measures the quality ...

  The rapid adoption of electric vehicles (EVs) is transforming global transportation systems. However, the success of this transition depends heavily on well-planned charging infrastructure. A data-driven framework offers a smart, evidence-based approach to designing EV charging networks that align with real-world demand, financial sustainability, and social fairness ⚡📈. By integrating analytics, spatial modeling, and economic insights, planners can ensure efficient, inclusive, and future-ready charging solutions. 📊 Demand Estimation: Understanding Where and When Charging Is Needed Accurate demand estimation lies at the heart of effective EV infrastructure planning. Using data from traffic flows, vehicle ownership patterns, travel behavior, and charging usage logs , planners can forecast charging needs across time and space 🚘📍. Advanced techniques such as machine learning models, time-series forecasting, and mobility data analysis help identify peak demand hours, high-us...

  In today’s rapidly evolving digital era, large-scale infrastructure systems such as power grids, smart cities, transportation networks, and cloud-based enterprises are becoming more complex and interconnected. 🚆⚡🏙️ With this growth comes an increased exposure to cyber threats, making automated threat analysis not only a technical necessity but also a critical business strategy. 🔍 Introduction to Automated Threat Analysis Automated threat analysis refers to the use of intelligent systems that continuously monitor, detect, and predict cyber risks without relying solely on manual intervention. 🤖🔐 This approach ensures faster identification of vulnerabilities and proactive defense against attacks. 💼 Business-Oriented Perspective A business-focused model emphasizes aligning cybersecurity with organizational goals. Instead of viewing threat detection as purely an IT responsibility, companies integrate it into decision-making, risk management, and operational continuity. 📊?...

 The Best Research Article Awards honor outstanding scholars, innovators, and thinkers who contribute exceptional research that shapes the future of science, technology, medicine, and society. These awards recognize articles that demonstrate originality, strong methodology, and impactful discoveries. 🌟📚 🌟 Purpose of Best Research Article Awards 🎯 Encouraging Academic Brilliance These awards inspire researchers to publish high-quality work that advances global knowledge. 🔬 Promoting Innovative Discoveries They highlight breakthrough ideas that bring meaningful change in various disciplines. 📌 Key Areas of Recognition 🧪 Scientific Research Excellence Awarded to articles with strong experimental evidence and innovative approaches. 📊 Data-Driven Impact Research with clear statistical support, analysis, and practical relevance receives special appreciation. 🌱 Sustainable & Social Contributions Studies addressing environmental challenges, healthcare improvements...

 Palygorskite, a naturally occurring clay mineral, has recently gained attention in the oil and gas industry for its superior rheological properties. This study focuses on activated Greek Palygorskite and its performance in challenging drilling conditions , particularly high-salinity and high-hardness water-based drilling fluids (WBDFs) . Such conditions often compromise fluid stability, viscosity, and filtration control, making robust additives essential. 1. Material Characterization 🔬 Before application, Greek Palygorskite undergoes activation treatments to enhance its surface area, porosity, and dispersibility . Advanced characterization techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), and Fourier-transform infrared spectroscopy (FTIR) reveal its structural integrity and active sites, crucial for interaction with ions in saline and hard water environments. 2. Rheological Performance ⚙️ Activated Palygorskite improves the flow behavior o...