The rapid development of digital technology has significantly changed the educational landscape, especially in the field of distance learning, where time and space barriers separate students and teachers. This way of ...
详细信息
In the modern day, Internet of Things (IoT) has become critical since it permits seamless integration of physical objects and data-driven communication. IoT improves efficiency, automated processes, and real-time deci...
详细信息
We explore the alignment of values in Large Language Models (LLMs) with specific age groups, leveraging data from the World Value Survey across thirteen *** a diverse set of prompts tailored to ensure response robustn...
详细信息
In recent decades, vascular disease - which includes a variety of heart-related conditions - has emerged as the primary cause of death worldwide. There are numerous risks associated with heart disease, and it is impor...
详细信息
Scientific modeling provides mathematical abstractions of real-world systems and builds software as implementations of these mathematical *** science is a multidisciplinary discipline developing scientific models and ...
详细信息
Scientific modeling provides mathematical abstractions of real-world systems and builds software as implementations of these mathematical *** science is a multidisciplinary discipline developing scientific models and simulations as ocean sys-tem models that are an essential research *** software engineering and information systems research,modeling is also an essential *** particular,business process modeling for business process management and systems engineering is the activity of representing processes of an enterprise,so that the current process may be analyzed,improved and *** this paper,we employ process modeling for analyzing sci-entific software development in ocean science to advance the state in engineering of ocean system models and to better understand how ocean system models are developed and maintained in ocean *** interviewed domain experts in semi-structured inter-views,analyzed the results via thematic analysis,and modeled the results via the Busi-ness Process Modeling Notation(BPMN).The processes modeled as a result describe an aspired state of software development in the domain,which are often not(yet)*** enables existing processes in simulation-based system engineering to be improved with the help of these process models.
The current framework for sequence labeling encompasses a feature extractor and a sequence tagger. This study introduces a unified framework named SLGAN, which harnesses the capabilities of Generative Adversarial Netw...
详细信息
Iron deficiency, a prevalent issue in global health, impacts a large number of individuals and can result in symptoms such as weariness, difficulty breathing, and other incapacitating effects. Although blood tests are...
详细信息
ISBN:
(纸本)9798350350067
Iron deficiency, a prevalent issue in global health, impacts a large number of individuals and can result in symptoms such as weariness, difficulty breathing, and other incapacitating effects. Although blood tests are considered the most reliable method for diagnosis, they can be inconvenient and intrusive. This dissertation explores the promising possibilities of machine learning in providing a non-invasive method for detecting iron *** caused by insufficient iron levels is a widespread global health issue. Conventional techniques for detection sometimes entail intrusive procedures such as blood testing. This dissertation investigates the capacity of machine learning methods to identify iron deficiency without the need for intrusive *** research will conduct a thorough examination of numerous data sources that may be associated with iron insufficiency using Exploratory Data Analysis (EDA). This may include physiological data such as heart rate and oxygen saturation, in addition to any accessible blood test findings. In addition, the inquiry will examine the potential use of image analysis from easily accessible places such as fingernails, palm, or the conjunctiva of the *** dissertation will utilise the knowledge obtained from exploratory data analysis (EDA) to assess and evaluate the effectiveness of several machine learning algorithms in detecting iron deficiency. This comparison research aims to identify the best precise and user-friendly method for non-invasive *** machine learning methods are being examined to determine their efficacy in detecting iron insufficiency. The dissertation evaluates the efficacy of different algorithms and determines the best viable method for precise and non-intrusive diagnosis of iron insufficiency. This study has the capacity to transform the process of identifying iron insufficiency. The findings might potentially lead to early diagnosis and therapies, which would improve patient he
We introduce a new PAC-Bayes oracle bound for unbounded losses that extends Cramér-Chernoff bounds to the PAC-Bayesian setting. The proof technique relies on controlling the tails of certain random variables invo...
Presence of heterogenous huge data leads towards the ‘big data’ era. Recently, tweeter usage increased with unprecedented rate. Presence of social media like tweeter has broken the boundaries and touches the mountai...
详细信息
Driven by the surge in code generation using large language models (LLMs), numerous benchmarks have emerged to evaluate these LLMs capabilities. We conducted a large-scale human evaluation of HumanEval and MBPP, two p...
详细信息
暂无评论