Notions of unknown truths and unknowable truths are important in formal epistemology, which are related to each other in e.g. Fitch’s paradox of knowability. Although there have been some logical research on the noti...
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Given a graph G= (V, E) and a list of available colors L(v) for each vertex v∈ V, where L(v) ⊆ { 1, 2, …, k}, List k -Coloring refers to the problem of assigning colors to the vertices of G so that each vertex recei...
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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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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.
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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Social touch is a common method of communication between individuals, but touch cues alone provide only a glimpse of the entire interaction. Visual and auditory cues are also present in these interactions, and increas...
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Matrix grammars are one of the first approaches ever proposed in regulated rewriting, prescribing that rules have to be applied in a certain order. In regulated rewriting, the most interesting case shows up when all r...
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Learned Image Compression (LIC) models have achieved superior rate-distortion performance than traditional codecs. Existing LIC models use CNN, Transformer, or Mixed CNN-Transformer as basic blocks. However, limited b...
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An approximate projection onto the tangent cone to the variety of third-order tensors of bounded tensor-train rank is proposed and proven to satisfy a better angle condition than the one proposed by Kutschan (2019). S...
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