Computer-aided diagnosis (CADx) systems play a crucial role in accurately diagnosing and monitoring diseases through medical imaging. However, there are many challenges, such as data scarcity and complex structural pa...
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In this paper we consider Bayesian parameter inference associated to a class of partially observed stochastic differential equations (SDE) driven by jump processes. Such type of models can be routinely found in applic...
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作者:
Gunawan, A.F.Astuti, F.Physics Study Program
Republic of Indonesia Defense University Kawasan Indonesia Peace and Security Center Sentul Bogor16810 Indonesia Department of Physics
Faculty of Science Data Analytics Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya60111 Indonesia
Density functional theory (DFT) calculation are carried out for the cubic structure of lithium fluoride (LiF). Variation of applied pressure is considered, ranging from 0 to 120 GPa with an increment of 30 GPa based o...
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Acquisition of geospatial data by UAV has been acknowledged as an effective method of attaining reliable and quick high-resolution remote sensing data for analysis and decision-making in different applications such as...
Acquisition of geospatial data by UAV has been acknowledged as an effective method of attaining reliable and quick high-resolution remote sensing data for analysis and decision-making in different applications such as agriculture as it produces timely results, and it is affordable. UAVs coupled with other technological applications such as robotics, computing and deep learning facilitate the execution of precision agriculture. The execution of individual tree identification enables vivid description of the crop peak height and canopy for accurate estimation of issues related to crop growth such as biomass reduction, lodging, and stunted growth. A geospatial intelligence algorithm was developed to determine the lodging state of the crops. First, the optical imagery (RGB) was automatically annotated using maximum likelihood classification algorithm for faster acquisition of ground truth and to verify with the manually annotated image data for deep learning training. The acquired images were split for training of fine-tuned three deep learning methods including U-net, U-net++ and attention-residual Unet. The results show that each model has the tendency to learn patterns in data and predict lodged crops. Results from the analysis were validated by visual assessment of the time-series aerial images and validation data acquired from the ground truth data using k-fold cross validation approach.
GPT-3 is a large-scale natural language model developed by OpenAI that can perform many different tasks, including topic classification. Although researchers claim that it requires only a small number of in-context ex...
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In this paper, we identify a new category of bias that induces input-conflicting hallucinations, where large language models (LLMs) generate responses inconsistent with the content of the input context. This issue we ...
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In this paper, we evaluate the similarity between users' behavior by applying tree edit distance (TED) to tree representations generated through hyperbolic metric learning methods. Understanding user behavior simi...
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ISBN:
(数字)9798331530839
ISBN:
(纸本)9798331530846
In this paper, we evaluate the similarity between users' behavior by applying tree edit distance (TED) to tree representations generated through hyperbolic metric learning methods. Understanding user behavior similarity is an essential task in e-commerce, as it can be modeled as a tree-like structure where each action corresponds to a node, representing the user's possible next move. Analyzing user behavior similarity through the lens of advertising costs provides insight into the effort needed to shift from one user's action pattern to another. We explore the benefits of using tree edit distance for user behavior analysis and further consider their similarity under hyperbolic metric embedding methods.
We propose UnitSpeech, a speaker-adaptive speech synthesis method that fine-tunes a diffusion-based text-to-speech (TTS) model using minimal untranscribed data. To achieve this, we use the self-supervised unit represe...
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The area of oil palm plantations in Indonesia increased by 7% from 14 million ha in 2017 to 15 million ha in 2021. The vast land requires the support of effective and efficient management techniques to maintain sustai...
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