Online customer reviews provide researchers with the knowledge of what people think of products and services. It quickly becomes evident that it would be tedious to manually summarize all the reviews since the data is...
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Multi-object recognition resolves the need to instantaneously identify numerous things, which is essential for developing an in-dept. understanding of the world of vision. Variations in object features, occlusions, sc...
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In this paper, we summarize our previous contribution to the research area of Explainable Recommender Systems in the healthcare domain, called ICARE (Intuitive Context-Aware Recommender with Explanations), which is a ...
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This paper focuses on real-time detection and tracking techniques for Personal Protective Equipment (PPE) in workplace scenarios. Based on the critical characteristics of efficiency, the potential solution addresses t...
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In modern times, the identification and categorization of intelligent vehicles have attained significant recognition within the realm of highway management, as it holds paramount importance for effective traffic contr...
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In computer vision and inertial sensors, recent research focuses on monitoring and identifying falls, as well as daily actions, through autonomous human action detection. In this paper, the proposed model utilizes mul...
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Early detection is crucial in improving patient outcomes and survival rates for stomach cancer. This research introduces a deep learning system employing Convolutional Neural Networks (CNN) to aid in the early detecti...
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The uncontrolled growth of skin cells in the epidermis producing the creation of a mass termed a tumor is a dangerous condition known as skin cancer. Current developments in deep learning artificial intelligence have ...
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Post-hoc explanation methods are an important tool for increasing model transparency for users. Unfortunately, the currently used methods for attributing token importance often yield diverging patterns. In this work, ...
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Wireless Sensor Networks (WSNs) are highly implemented in harsh and dynamic environments. In such configurations, faults and anomalies easily occur, causing unwanted disruptions in data accuracy and network performanc...
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