The automotive sector has a notable upswing in the sales of pre-owned vehicles, hence necessitating the development of precise pricing models to enable knowledgeable decision-making for both purchasers and vendors. In...
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Malaria is one of the most vulnerable diseases attacking human health, with rising cases from year to year. Therefore, technological developments are required to overcome this disease. Currently, the examination of ma...
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The task of multimodal emotion recognition aims to discern human emotions by utilizing both speech and facial expressions. Given the significance of complementarity between different modal sources, fusion has emerged ...
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When disassembly large-occupied end-of-life (EOL) products, the operation position is constrained due to geometric constraints and distribution. Operators with multiple tasks need to switch between designated operatio...
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Knowledge of the rocks, concrete, or constructions is often necessary. Mineshaft operations, salvage efforts, and tunneling are a few examples of such analyses. The real time analysis of the rocks and structures is on...
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With the rapid spread of microsurgery, more attention has been paid to the development of medical tools, especially microsurgical robotics, which contributes to improving the performance of surgery and reducing the ri...
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The inspection of large-scale and complex objects is still a significant challenge in both academic and industrial fields. The main reason is that the large-scale and complex object, required to inspect from multiple ...
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One of the most important and concerning aspects of our society is crime. Countless crimes are committed daily, and as a result, the lives of all individuals are becoming increasingly unpleasant. Thus, stopping the cr...
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In this work, the locomotion of the snake robot in an uncertain underwater environment using a virtual holonomic constraints-based multi-variable super-twisting sliding mode control approach is proposed. The aim of th...
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The process for automatic modulation recognition (AMR) is important to industrial cognitive radio Models. Although they have made significant strides in modulation detection, state-of-the-art real-valued CNNs compromi...
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