Ai-guided vectorization for efficient storage and semantic retrieval of visual data [0.03%]
基于AI引导的矢量化方法实现视觉数据的高效存储与语义检索
Ahmed A Harby,Farhana Zulkernine,Hanady M Abdulsalam
Ahmed A Harby
The rapid growth of multimedia content has increased the demand for effective methods to reduce storage requirements while maintaining quality and enabling fast data transmission. Existing standards and generative model approaches often inv...
A two-phase hybrid clustering framework exploring transitional activities in HAR [0.03%]
探索过渡活动的两阶段混合聚类框架（HAR中）
Martin Woo,Ahmed A Harby,Farhana Zulkernine et al.
Martin Woo et al.
Human Activity Recognition (HAR) using data streams from wearable sensors is challenging due to high data dimensionality, noise, and the lack of labeled data in unsupervised settings. Our prior work proved that traditional clustering models...
Evaluation of artificial intelligence techniques in disease diagnosis and prediction [0.03%]
评估人工智能在疾病诊断和预测中的应用效果
Nafiseh Ghaffar Nia,Erkan Kaplanoglu,Ahad Nasab
Nafiseh Ghaffar Nia
A broad range of medical diagnoses is based on analyzing disease images obtained through high-tech digital devices. The application of artificial intelligence (AI) in the assessment of medical images has led to accurate evaluations being pe...
A multi-output network with U-net enhanced class activation map and robust classification performance for medical imaging analysis [0.03%]
一种基于U-Net增强类激活图的多输出网络用于医学图像分析及鲁棒分类性能研究
Jaiden Xuan Schraut,Leon Liu,Jonathan Gong et al.
Jaiden Xuan Schraut et al.
Computer vision in medical diagnosis has achieved a high level of success in diagnosing diseases with high accuracy. However, conventional classifiers that produce an image-to-label result provide insufficient information for medical profes...
Francesca Alloatti,Alessio Bosca,Luigi Di Caro et al.
Francesca Alloatti et al.
One of the key aspects in the process of caring for people with diabetes is Therapeutic Education (TE). TE is a teaching process for training patients so that they can self-manage their care plan. Alongside traditional methods of providing ...
Reflections on the human role in AI policy formulations: how do national AI strategies view people? [0.03%]
关于人类在人工智能政策制定中作用的思考：国家层面的人工智能战略如何对待人民？
Henrikki Salo-Pöntinen,Pertti Saariluoma
Henrikki Salo-Pöntinen
Purpose: There is no artificial intelligence (AI) without people. People design and develop AI; they modify and use it and they have to reorganize the ways they have carried out tasks in their work and everyday life. Nati...
AI-powered narrative building for facilitating public participation and engagement [0.03%]
基于人工智能的叙事构建以促进公众参与和互动
Fernando Marmolejo-Ramos,Thomas Workman,Clint Walker et al.
Fernando Marmolejo-Ramos et al.
Algorithms, data, and AI (ADA) technologies permeate most societies worldwide because of their proven benefits in different areas of life. Governments are the entities in charge of harnessing the benefits of ADA technologies above and beyon...
Kenneth David Strang,Zhaohao Sun
Kenneth David Strang
The purpose of this study was to evaluate the effectiveness of using natural language processing (NLP) artificial intelligence (AI) in enterprise resources planning (ERP) to identify specialized job candidates in real-time big data-globally...
Vehicle detection systems for intelligent driving using deep convolutional neural networks [0.03%]
基于深度卷积神经网络的智能驾驶车辆检测系统
Rahib Abiyev,Murat Arslan
Rahib Abiyev
In the paper, a vision-based vehicle identification system is proposed for autonomous intelligent car driving. The accurate detection of obstacles (vehicles) during intelligent car driving allows avoiding crashes, preventing accidents, savi...
AI impacts on supply chain performance : a manufacturing use case study [0.03%]
人工智能对供应链绩效的影响——一项制造业案例研究
Stefan Walter
Stefan Walter
The integration of cross-company activities to form global supply chains (SC) has several benefits, including reducing costs, minimizing energy and resource waste, and promoting relationships for improving all network actors. However, as th...