Dong-Lin Chen,Mohd Shafry Mohd Rahim,Hiew Moi Sim et al.
Dong-Lin Chen et al.
Reconstructing high-fidelity and animatable 3D human avatars from visual data is a core task for immersive applications such as virtual reality (VR) and digital content creation. While traditional approaches often suffer from high computati...
Analysis of article screening and data extraction performance by an AI systematic literature review platform [0.03%]
基于人工智能的系统综述平台的文章筛选与数据提取性能分析
Kelsie Cassell,Abiodun Ologunowa,Majid Rastegar-Mojarad et al.
Kelsie Cassell et al.
Background: Systematic literature reviews (SLRs) are critical to health research and decision-making but are often time- and labor-intensive. Artificial intelligence (AI) tools like large language models (LLMs) provide a ...
XAI-BT-EdgeNet: explainable edge-aware deep learning with squeeze-and-excitation for brain tumor detection and prediction [0.03%]
具有挤压和激励的可解释边缘感知深度学习的脑肿瘤检测和预测(XAI-BT-EdgeNet)
Deependra Rastogi,Prashant Johri,Massimo Donelli et al.
Deependra Rastogi et al.
Introduction: Accurate and early detection of brain tumors is critical for effective treatment and improved patient outcomes, yet manual radiological analysis remains time-consuming, subjective, and error-prone. To addres...
Fasih Haider,Edward Moroshko,Yuyang Xue et al.
Fasih Haider et al.
Generative models are becoming a promising tool in AI alongside discriminative learning. Several models have been proposed to learn in an unsupervised fashion the corresponding generative factors, namely the latent variables critical for ca...
Robots in the moral loop: a field study of AI advisors in ethical military decision-making [0.03%]
道德循环中的机器人：伦理军事决策中人工智能顾问的实地研究
Chad C Tossell,Christopher Kuennen,Ali Momen et al.
Chad C Tossell et al.
Humans now routinely work alongside AI in environments where the ethical consequences of decisions are profound, yet there remains limited understanding of how long-term collaboration with a robotic teammate shapes individuals' moral judgme...
StaBle-MambaNet: structure-aware and blur-guided lane detection with Mamba [0.03%]
基于结构感知和模糊引导的车道检测方法Stable-MambaNetBar-style:_structure-aware_and_blur-guided_lane_detection_with_Mamba
Xiaoyu Zhang,Hongwei Huang,Xiting Peng et al.
Xiaoyu Zhang et al.
The perception system constitutes a critical component of autonomous driving, due to factors such as high-speed motion and complex illumination, camera-captured images often exhibit local blurring, leading to the degradation of lane structu...
Decision tree-based approach to robust Parkinson's disease subtyping using clinical data of the Michael J. Fox Foundation LRRK2 cross-sectional study [0.03%]
基于决策树的鲁棒帕金森病分型方法及其在Michael J. Fox基金会LRRK2横断面研究临床数据中的应用
Soumyadeep Roy,Stefanie Krähe,Michael Marschollek et al.
Soumyadeep Roy et al.
Parkinson's Disease (PD) is a neurodegenerative disorder with high heterogeneity in clinical symptoms, progression course, treatment response, and genetic factors. Thus, PD subtyping aims to enhance understanding of disease mechanisms and h...
Advancing engineering research through context-aware and knowledge graph-based retrieval-augmented generation [0.03%]
基于情境感知和知识图谱的检索增强生成在工程研究中的应用与发展
Soham Ghosh,Gaurav Mittal
Soham Ghosh
Large language models (LLMs) are powerful in language understanding and content generation but frequently fall short of technical accuracy when they are applied to engineering code, standards, and design documents. To mitigate this, we are ...
Digital model for monitoring national programs: the Kazakhstan experience [0.03%]
数字化模型在监测国家计划中的应用——以哈萨克斯坦为例
Mafura Uandykova,Tolkyn Mirkassimova,Gulnar Mukhamejanova et al.
Mafura Uandykova et al.
This paper presents a conceptual digital model for monitoring national programs designed to enhance their effectiveness, transparency, and performance in the context of digital transformation in public administration. The research identifie...
Opinions and attitudes toward artificial intelligence among operating room nurses: a descriptive meta-analysis based on the comparative studies of the different opinions [0.03%]
关于手术室护士对人工智能的意见和态度的描述性荟萃分析（基于不同意见的比较研究）
Juhua Ye,Junwu Huang
Juhua Ye
Background: Artificial intelligence (AI) is defined as the capability of machines to perform tasks that typically require human intelligence. Robots have major roles during surgeries as well as in the operating rooms (ORs...