In the realm of computer vision, the registration of infrared and visible images is pivotal, harnessing the strengths of distinct imaging modalities to surmount challenges in low-light or adverse weather conditions. G...
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In today's high technology environment, most of the workflows are migrated to the cloud and related resourcing technologies like fog, mist and edge computing. Here, in this research work, we have given a detailed ...
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advances in automation for the packaging industry necessitate robust quality control measures, particularly in food appearance inspection. This paper introduces PC-Yolo, an advanced defect detection system based on an...
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In the era of rapid technological advancement, computer Vision has emerged as a transformative force, reshaping the landscape of Artificial Intelligence (AI) and Machine Learning (ML). This comprehensive review paper ...
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The "Automated DSM Insight Analyzer" is a groundbreaking initiative that revolutionizes the analysis of Daily Stand-Up Meetings (DSMs). Leveraging a sophisticated combination of cutting-edge technologies, in...
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Lung cancer stands as a significant global health challenge, demanding advancements in early detection methods to enhance patient outcomes. The research attempts to create accurate diagnostic tools by examining a vari...
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In-depth examination of model optimization techniques and their effects on enhanced convolutional neural networks (CNNs) is done in this paper. The performance of Convolutional Neural Networks, which are the foundatio...
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This research work examines the domain of audio emotion categorization, employing a unique approach that incorporates log-Mel spectrogram with augmentation. The research demonstrates a commendable accuracy rate of 63%...
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Green Internet of Things (IoT) encompasses various sectors like farming, home automation, smart transport, and wellness, aiming to simplify people's lives. However, cyberattacks pose a significant threat to IoT de...
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Detecting animals and recognizing them is a challenging task in computer vision. The main aim of this paper is to detect the animals in an image from the selected datasets and assign a label to each of the correspondi...
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