Integrating low-cost fused filament fabrication 3D printing as a foundation for learning 3D modelling is explored. This method blends traditional computer aided design (CAD) instruction with additive manufacturing pos...
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Integrating low-cost fused filament fabrication 3D printing as a foundation for learning 3D modelling is explored. This method blends traditional computer aided design (CAD) instruction with additive manufacturing possibilities. Experimental results demonstrate increased comprehension speed and reduced learning time. This hands-on approach empowers students by enabling direct engagement with the modelling process. Analogous to reverse engineering, the strategy instructs engineering students from final product to model creation, closing the gap between theory and practice. Incorporating 3D printing bridges this divide, enhancing understanding, creativity and problem-solving. The study underscores technology's influence on learning strategies, aligning with the surge of 3D printing in education. Results link advanced design technology usage to improved student performance, with 3D-printed materials yielding 45% higher grades and 30% faster task completion. This study advocates curricular advancement for design-focused careers through enhanced technology integration and favourable 3D printing model reception.
Large Language Models (LLM) is a type of artificial neural network that excels at language-related tasks. The advantages and disadvantages of using LLM in software engineering are still being debated, but it is a tool...
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Complex network theory has been widely demonstrated as a powerful tool in modeling and characterizing various complex systems. In the past, complex network theory has focused on the behaviors as well as the characteri...
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The rise of wearable smart devices has brought new opportunities for computer vision technology in the field of environment perception and scene recognition. This research focuses on using computer vision technology t...
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A virtual product creation technology was explored, focusing on the customized cam with a rise-dwell-fall-dwell (RDFD) motion program taking high and low speeds into account using artificial intelligence which is nece...
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The proceedings contain 77 papers. The topics discussed include: advanced optimization techniques for electric vehicle integrated solar-hydro-thermal systems;lowering the peak to average power ratio by using the pts m...
ISBN:
(纸本)9798331513894
The proceedings contain 77 papers. The topics discussed include: advanced optimization techniques for electric vehicle integrated solar-hydro-thermal systems;lowering the peak to average power ratio by using the pts method for high-speed application systems;impact of atmospheric turbidity on terahertz communication in tropical sub-continent;solar energy based cogeneration system for improved solar energy utilization;vision transformers for retinal disease classification using optical coherence tomography images;a classification approach to UPI transaction efficiency and its impact on microbusinesses in digital India;optimal power dispatch in combined heat and power systems with solar and wind integration;and optimization of cluster head selection using bacterial foraging algorithm for energy-efficient routing in wireless body area networks.
This paper presents a novel system for real-time object tracking in occlusion-prone environments, addressing critical challenges in achieving robustness, accuracy, and efficiency under dynamic and cluttered conditions...
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Sarcasm detection, crucial for enhancing sentiment analysis and human-computer interaction, poses challenges due to its nuanced, context-dependent nature. This study investigates advanced feature engineering and model...
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The proceedings contain 26 papers. The topics discussed include: building extraction from high-resolution remote sensing image based on improved ResUNet network;a visual based algorithm for measuring the speed of scra...
ISBN:
(纸本)9798400718090
The proceedings contain 26 papers. The topics discussed include: building extraction from high-resolution remote sensing image based on improved ResUNet network;a visual based algorithm for measuring the speed of scrap metal vibration feeding;semantic segmentation for virtual-real fusion data processing in nonferrous metal process industry;an evaluation method based on fuzzy model for the autonomous and controllable of the spacecraft component production;discrete-time physics-informed neural networks for two-phase flow interface capturing;comprehensive review: advancing cognitive computing through theory of mind integration and deep learning in artificial intelligence;and kinematics behaviors evaluation of a naval ship survival training simulation system in case of longitudinal shaking.
This paper presents a novel approach for air pollution monitoring using Photonic Crystal Fiber (PCF) with unique optical properties. Through Finite Element Method (FEM) simulations in COMSOL, the study explores how th...
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