This study addresses the bipartite graph weight maximum matching problem with a focus on achieving fairness. We introduce a deterministic truthful mechanism and a universal truthful mechanism tailored for fair matchin...
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Generative artificial intelligence (GAI) has the potential to transform software development practices with prior research indicating significant overall enhancements in developers' productivity. However, there ex...
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ISBN:
(纸本)9783031611742;9783031611759
Generative artificial intelligence (GAI) has the potential to transform software development practices with prior research indicating significant overall enhancements in developers' productivity. However, there exists a lack of design knowledge for organization-specific GAI systems to assist software development. To bridge this research gap, we derive a design framework for collaborative GAI systems in software development following design science research. Specifically, we conducted eight interviews with practitioners and reviewed extant literature to formulate design requirements and design principles. In our analysis of the literature and our qualitative data, we identify problems surrounding usability, data privacy, hallucination and transparency. To address these problems, we propose GAI system designs that enable user-centricity, data protection, quality control and communication. Our findings contribute valuable design knowledge to the field of generative AI and organizational software development practices.
Image dehazing aims to restore clean images from hazy ones. Convolutional Neural Networks (CNNs) and Transformers have demonstrated exceptional performance in local and global feature extraction, respectively, and cur...
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The diffusion model (DM) has achieved remarkable results in image generation and has been used in hyperspectral image (HSI) processing. However, DM has not been directly applied in the HSI anomaly detection (HAD) task...
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Tracking-by-detection typically involves associating detection boxes across frames in a video sequence. A common approach is to use Kalman filter for prediction and matching with detection boxes based on IoU. However,...
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Lightweight yet reliable depth estimation models that can deployed on edge devices are crucial for the practical application of fields such as autonomous driving, robot navigation, and augmented reality. However, prev...
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The burgeoning global population constricted arable land availability, exacerbated farming input expenditures, and a dwindling labor workforce underscore the imperative for pioneering advancements within the realm of ...
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ISBN:
(纸本)9783031538261;9783031538278
The burgeoning global population constricted arable land availability, exacerbated farming input expenditures, and a dwindling labor workforce underscore the imperative for pioneering advancements within the realm of agriculture and cultivation. AgriTech represents the synergistic integration of cutting-edge technologies and human-computer interaction (HCI) into traditional agricultural methodologies, poised to usher in a transformative era in farming practices. It heralds a promising frontier for the implementation of intelligent farming techniques. Within this scholarly exposition, we delve into the profound challenges that beset the domain of intelligent agriculture and advanced agricultural technologies. We proffer an in-depth exploration of historical developments, leveraging innovative applications of artificial intelligence (AI), automation, robotics, and the Internet of Things (IoT) to propel the paradigm of intelligent farming forward. Furthermore, we elucidate the impediments intrinsic to these technologies and proffer potential remedies encapsulated within the purview of AgriTech. This research not only serves as a comprehensive elucidation of the multifaceted intricacies within the domain of AgriTech but also serves as a launching pad, fostering fertile grounds for the cultivation of future AgriTech innovations.
As Industry 4.0 continues to transform the current manufacturing scene, seamless integration and intelligent data use have emerged as important aspects for increasing efficiency, productivity, and creativity. Semantic...
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The assessment of chronic wound healing often depends on visual inspection, but subjective methods can introduce variability and hinder reliable predictions. Current computer-aided detection (CAD) tools encounter limi...
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