Technology Scientists

Technology Scientists Awards  ===================  Website :  technologyscientists.com  Nomination Link :  https://technologyscientists.com/award-nomination/?ecategory=Awards&rcategory=Awardee   To Contact : support@technologyscientists.com

  The global transition toward carbon neutrality demands scalable and reliable renewable energy solutions, with wind power playing a central role in this transformation. However, the inherent volatility and complexity of wind data present a formidable challenge for accurate and stable forecasting. Traditional models have often prioritized predictive accuracy while neglecting the critical need for stability, leading to unreliable grid-level decision-making. This research addresses that gap by proposing a robust, data-driven point-interval prediction framework. It blends innovative decomposition methods, model integration strategies, and a novel multi-objective optimization mechanism to deliver both precision and resilience in forecasts. The approach demonstrates significant improvements over conventional techniques, suggesting a paradigm shift in wind power forecasting methodology. 2. Addressing Forecast Stability in Wind Power Predictions While most predictive models in renewabl...

Technology Scientists Awards  ===================  Website :  technologyscientists.com  Nomination Link :  https://technologyscientists.com/award-nomination/?ecategory=Awards&rcategory=Awardee   To Contact : support@technologyscientists.com

Technology Scientists Awards  ===================  Website :  technologyscientists.com  Nomination Link :  https://technologyscientists.com/award-nomination/?ecategory=Awards&rcategory=Awardee   To Contact : support@technologyscientists.com

  Excellence in Research: Be a Pioneer! Celebrate visionary minds pushing the boundaries of innovation. This award honors trailblazing researchers whose contributions are shaping the future of science and technology. Be the spark of discovery—be a pioneer! Website: technologyscientists.com To Nominate: click here To Contact: support@technologyscientists.com #ExcellenceInResearch   #BeAPioneer   #TechInnovation   #ScientificBreakthroughs   #TrailblazingResearchers   #FutureOfScience   #InnovateToLead   #STEMLeadership   #ResearchChampions   #PushingBoundaries   #TechnologyScientistsAwards   #InnovationInScience   #NextGenResearchers   #ScienceForTheFuture   #AcademicExcellence   #ResearchAwards   #ScienceFather   hashtag

  The rise of immersive speculative environments powered by virtual and mixed reality technologies marks a significant shift in how we engage with the concept of the future. Across the globe, new institutions—particularly the so-called “museums of the future”—are leveraging these tools to offer participants live, multi-sensory experiences that simulate possible futures. These environments blend storytelling, interactivity, and digital infrastructure to construct experiential futures that are both engaging and ideologically loaded. However, the full implications of these spaces for public participation in futures thinking and futures-making remain under-explored. This research initiative aims to examine the theoretical and practical contours of these emerging environments through an interdisciplinary lens. The Technological Foundations of Immersive Speculative Environments Immersive speculative environments depend heavily on cutting-edge technologies such as VR, AR, haptics, spa...

  In the domain of mineral processing , optimal control and forecasting are pivotal for efficient and sustainable operation. As data-driven modeling becomes increasingly prevalent, the challenge lies in achieving both high accuracy and reliability across multiple forecasting steps. This research explores the integration of physics-based knowledge into established data-driven forecasting models—such as CNN, GRU, and LSTM—to enhance predictive performance in a real-world flotation process. By incorporating mass balance constraints through physics-guided loss functions, this study demonstrates how physics-informed machine learning (PIML) can outperform traditional models. Data-Driven Forecasting Models in Mineral Processing Data-driven models, particularly deep learning architectures like Convolutional Neural Networks (CNN), Gated Recurrent Units (GRU), and Long Short-Term Memory (LSTM) networks, have gained traction for time series prediction in mineral processing systems. Their abi...

Technology Scientists Awards  ===================  Website :  technologyscientists.com  Nomination Link :  https://technologyscientists.com/award-nomination/?ecategory=Awards&rcategory=Awardee   To Contact : support@technologyscientists.com 

The safe and efficient operation of nuclear reactors greatly depends on the thermal-hydraulic performance of the nuclear fuel. Lead-bismuth eutectic (LBE) coolant has emerged as a promising candidate for advanced reactors due to its excellent thermal properties and compatibility with fast reactor systems. This study focuses on an innovative helical fuel design, aiming to optimize flow and heat transfer characteristics. Through experimental investigations and numerical simulations, this research provides insights into the complex dynamics of LBE-cooled systems and paves the way for high-performance fuel assembly designs. Experimental Methodology and Test Sections To comprehensively analyze the flow and thermal behavior , three distinct test sections were developed and tested under controlled conditions. These sections were designed to replicate real-world fuel configurations, including helical cruciform geometries. Parameters such as temperature, pressure drop, and volumetric flow ra...

Technology Scientists Awards  ===================  Website :  technologyscientists.com  Nomination Link :  https://technologyscientists.com/award-nomination/?ecategory=Awards&rcategory=Awardee   To Contact : support@technologyscientists.com 

Introduction The transition to a circular economy is driven by the imperative to reduce waste and optimize resource use. Central to this transformation are Digital Product Passports (DPPs), envisioned as a digital tool to store, track, and communicate essential product sustainability and circularity data. However, to make circular practices like reuse, refurbishing, remanufacturing, and recycling viable at scale, DPPs must include detailed, relevant information tailored to disassembly schemes. This is particularly critical in hybrid human-robot cooperative systems, which aim to balance scalability, adaptability, and cost-effectiveness. As circular strategies become embedded into manufacturing and policy, this study explores the disassembly information required in DPPs and proposes a novel metric—Re-DiM—to quantify the ease of disassembly within such systems. Disassembly Pathways in Circular Economy: Challenges and Opportunities Effective disassembly is the cornerstone of circular acti...

Technology Scientists Awards  ===================  Website :  technologyscientists.com  Nomination Link :  https://technologyscientists.com/award-nomination/?ecategory=Awards&rcategory=Awardee   To Contact : support@technologyscientists.com   #BestFacultyAward   #TechnologyScientistsAwards   #InnovationInTeaching   #STEMExcellence   #AcademicLeadership   #TechEducator   #ResearchChampion   #ScienceMentor   #FutureShapers   #EduInnovation   #FacultyOfTheYear   #TeachingExcellence   #STEMInspiration   #TechLeaders   #AcademicExcellence   #HigherEducation   #EducateInnovateInspire   #AwardWinningEducator   #ScienceAndTechnology   #MentorOfInnovators  

  Introduction Osteoporosis poses a significant global health challenge due to its often silent progression until fracture occurs. To combat this, researchers are increasingly turning to ultrasonic techniques, particularly guided wave analysis in axial transmission, as a promising, non-invasive diagnostic tool. The study at hand explores the use of low-frequency guided waves—especially below 500 kHz—to assess cortical bone's structural and mechanical properties. By leveraging advanced data processing techniques such as 2D fast Fourier transforms and semi-analytical iso-geometric analysis (SAIGA), the research pushes forward the boundaries of bone health evaluation, aiming to enhance early diagnosis and clinical applications. Low-Frequency Guided Waves for Global Bone Characterization This study emphasizes the unique diagnostic value of low-frequency ultrasonic waves in characterizing cortical bone geometry. Unlike high-frequency waves that probe localized material stiffness, fr...

Technology Scientists Awards  ===================  Website :  technologyscientists.com  Nomination Link :  https://technologyscientists.com/award-nomination/?ecategory=Awards&rcategory=Awardee   To Contact : support@technologyscientists.com 

As global interest in renewable and sustainable energy sources grows, geothermal energy is gaining attention for its consistency and low environmental impact. The energy shaft—an innovative vertical geothermal structure—holds immense promise in this field. Accurate modeling of heat transfer between the shaft and surrounding soil is crucial for designing efficient systems and evaluating field performance. This study introduces a novel cylindrical concrete test structure specifically designed for thermal response testing. By simulating energy shafts more realistically and enabling real-time thermal property analysis, the research aims to improve the accuracy of data, reduce errors, and offer practical benefits for engineering applications. Importance of Real-Time Thermal Property Analysis in Geothermal Systems Real-time thermal property assessment plays a pivotal role in optimizing geothermal energy systems. Traditional models often overlook the heterogeneity between structural mater...

Technology Scientists Awards  ===================  Website :  technologyscientists.com  Nomination Link :  https://technologyscientists.com/award-nomination/?ecategory=Awards&rcategory=Awardee   To Contact : support@technologyscientists.com 

Advanced oxidation processes (AOPs) are vital tools in modern environmental engineering, playing a key role in breaking down persistent organic pollutants, disinfecting water, and treating industrial waste. However, challenges such as excessive energy consumption, low mass transfer efficiency, reliance on harmful chemicals, and the formation of toxic byproducts hinder their widespread adoption. Emerging nanotechnologies, particularly electrochemically reactive nanobubbles (ERNBs), present an innovative pathway to overcoming these limitations. This study explores ERNBs as a transformative strategy in AOPs, with a special focus on degrading tetracycline (TC), a stubborn pharmaceutical pollutant. Mechanism of Electrochemically Reactive Nanobubbles (ERNBs) Electrochemically reactive nanobubbles are produced through water-splitting reactions at electrode surfaces, resulting in ultra-fine gas bubbles that significantly enhance chemical reactivity. The unique properties of ERNBs, including...

Technology Scientists Awards  ===================  Website :  technologyscientists.com  Nomination Link :  https://technologyscientists.com/award-nomination/?ecategory=Awards&rcategory=Awardee   To Contact : support@technologyscientists.com 

  Cold Metal Transfer (CMT) welding represents a significant advancement in arc welding technology, characterized by its unique low-heat input and controlled droplet transfer. This process utilizes a precisely synchronized pulsed current and wire retraction system to minimize spatter, improve weld quality, and enable joining of dissimilar and thin materials. To fully understand the complex interactions during the CMT process, a three-dimensional transient multi-physics numerical model was developed, incorporating experimental pulsed data. This model captures the intricate interplay between thermal, fluid dynamic, and electromagnetic phenomena, providing new insights into the behavior of the molten pool throughout the distinct phases of a CMT cycle. Multi-Physics Modeling of CMT Welding The development of a 3D transient multi-physics model marks a substantial step toward understanding the detailed dynamics of the CMT process. This model integrates pulsed current characteristics, ...

  Cooling of electronic devices with high heat flux has become a critical concern in the era of advanced computing and miniaturized electronics. Traditional cooling techniques are often insufficient to handle such thermal loads efficiently and sustainably. This research introduces a novel hybrid system integrating photovoltaic direct-drive, vapor compression refrigeration, and embedded microchannel cooling technologies. Designed to operate independently using solar energy, this system presents an eco-friendly, compact, and efficient solution for thermal management in high-performance electronics. System Design and Technological Integration The proposed system is a cutting-edge combination of three core technologies : photovoltaic direct-drive, vapor compression refrigeration (VCR), and microchannel direct cooling. The integration enables simultaneous harnessing of renewable energy and efficient heat dissipation in a compact form factor. The PV unit powers the compressor directly,...