YOLOv8's advancements in tuberculosis identification from chest images [0.03%]
基于胸部影像的肺结核识别中YOLOv8的应用进展
Mohamudha Parveen Rahamathulla,W R Sam Emmanuel,A Bindhu et al.
Mohamudha Parveen Rahamathulla et al.
Tuberculosis (TB) is a chronic and pathogenic disease that leads to life-threatening situations like death. Many people have been affected by TB owing to inaccuracy, late diagnosis, and deficiency of treatment. The early detection of TB is ...
MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain [0.03%]
MedT5SQL：医疗领域基于变换器的大规模语言模型文本到SQL转换
Alaa Marshan,Anwar Nais Almutairi,Athina Ioannou et al.
Alaa Marshan et al.
Introduction: In response to the increasing prevalence of electronic medical records (EMRs) stored in databases, healthcare staff are encountering difficulties retrieving these records due to their limited technical exper...
Source-free domain adaptation for semantic image segmentation using internal representations [0.03%]
无源域适应的语义图像分割内部控制表示方法
Serban Stan,Mohammad Rostami
Serban Stan
Semantic segmentation models trained on annotated data fail to generalize well when the input data distribution changes over extended time period, leading to requiring re-training to maintain performance. Classic unsupervised domain adaptat...
Toward the design of persuasive systems for a healthy workplace: a real-time posture detection [0.03%]
迈向健康工作环境的劝说系统设计：实时姿态检测研究
Grace Ataguba,Rita Orji
Grace Ataguba
Persuasive technologies, in connection with human factor engineering requirements for healthy workplaces, have played a significant role in ensuring a change in human behavior. Healthy workplaces suggest different best practices applicable ...
Laura Smets,Werner Van Leekwijck,Ing Jyh Tsang et al.
Laura Smets et al.
Introduction: Hyperdimensional Computing (HDC) is a brain-inspired and lightweight machine learning method. It has received significant attention in the literature as a candidate to be applied in the wearable Internet of ...
Chao-Min Chang,Cheng-Te Li,Shou-De Lin
Chao-Min Chang
Time series forecasting is an essential tool across numerous domains, yet traditional models often falter when faced with unilateral boundary conditions, where data is systematically overestimated or underestimated. This paper introduces a ...
Mais Qandeel
Mais Qandeel
Despite their pronounced potential, unacceptable risk AI systems, such as facial recognition, have been used as tools for, inter alia, digital surveillance, and policing. This usage raises concerns in relation to the protection of basic fre...
Analyzing political party positions through multi-language twitter text embeddings [0.03%]
基于多语言twitter文本嵌入分析政党立场
Jinghui Chen,Takayuki Mizuno,Shohei Doi
Jinghui Chen
Traditional monolingual word embedding models transform words into high-dimensional vectors which represent semantics relations between words as relationships between vectors in the high-dimensional space. They serve as productive tools to ...
Elizabeth Newman,Lior Horesh,Haim Avron et al.
Elizabeth Newman et al.
Learning from complex, multidimensional data has become central to computational mathematics, and among the most successful high-dimensional function approximators are deep neural networks (DNNs). Training DNNs is posed as an optimization p...
Particulate matter forecast and prediction in Curitiba using machine learning [0.03%]
基于机器学习的库里蒂巴颗粒物预报与预测
Marianna Gonçalves Dias Chaves,Adriel Bilharva da Silva,Emílio Graciliano Ferreira Mercuri et al.
Marianna Gonçalves Dias Chaves et al.
Introduction: Air quality is directly affected by pollutant emission from vehicles, especially in large cities and metropolitan areas or when there is no compliance check for vehicle emission standards. Particulate Matter...