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Advancing Sustainability: Exploring the Role of Innovative Engineering Materials in Addressing Environmental Challenges
Global warming is rising at an unprecedented rate. This rapid increase is primarily due to human activities and the widespread use of fossil fuels for energy. […] This research paper examines a range of sustainable engineering materials, including advanced materials, biomaterials, recycled plastics and reclaimed wood, focusing on their properties and applications. It also highlights …
Toward Commercial Viability: A Comprehensive Review of Organic Solar Cell Stability and Scalability
This review paper provides a general overview of Organic Solar Cells (OSCs), more precisely their instability and commercialization challenges. […] Despite significant advances made, with power conversion efficiencies (PCEs) over 20% under laboratory conditions, the biggest challenge for wide-scale commercialization remains poor device stability and scalability. […] Notably, the synergistic effect of optimizing the active …
Development and Optimization of Advanced Glazing Technologies for Solar Ponds to Enhance Power Generation
Modern buildings experience substantial energy losses through window glazing, compromising overall energy efficiency. This study presents the design and evaluation of an advanced hybrid window system that simultaneously reduces thermal transmission and generates electricity. The proposed system integrates low-emissivity (low-E) coated double glazing with embedded thermoelectric generator (TEG) modules to harvest energy from temperature gradients …
Development Of a Predictive Model for Evaporation Unit Based on Critical Factors
This paper presents the development and validation of a real time predictive control system for a multiple effect industrial juice evaporator using an Adaptive Neuro Fuzzy Inference System (ANFIS). Traditional control schemes like PID controllers and AI models often struggle to handle the nonlinearities, long delays, and coupling effects in evaporation processes, leading to suboptimal …
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Algorithm for Automated Severity Assessment of Cracks in Simply Supported Bridge Beams Using UAV-Based Video Analysis
Automated inspection of concrete bridge components is crucial for timely maintenance and safety. This paper presents an algorithm for automated crack severity assessment in simply supported bridge beams using UAV-based video analysis. The proposed method integrates deep learning for crack detection with image processing techniques to measure crack dimensions and introduces a novel severity metric …
ISSN
2714-1837
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