Results 271 to 280 of about 4,537,064 (365)

Understanding Students’ Transition to High School: Demographic Variation and the Role of Supportive Relationships

Journal of Youth and Adolescence, 2017
A. Benner, Alaina E Boyle, Farin Bakhtiari   +2 more
semanticscholar   +1 more source

Classification of Pulmonary Nodules Using Multimodal Feature‐Driven Graph Convolutional Networks with Specificity Proficiency

Advanced Intelligent Systems, EarlyView.
The radiomics feature could save the storage space of all medical samples; on the other hand, it avoids data leakage. Graph convolutional neural networks could summarize the similarity of benign and malignant pulmonary nodules to improve the performance in distinguishing them with radiomics and common clinical features.
Renjie Xu, Zhanlue Liang, Dan Wang, Rui Zhang, Jiayi Li, Lingfeng Bi, Kai Zhang, Weimin Li   +7 more
wiley   +1 more source

Demographic transition, demographic dividendand economic growth in Nigeria

, 2012
Olanrewaju Olaniyan, Adedoyin Soyibo, Akanni Olayinka Lawanson   +2 more
openalex   +2 more sources

Cloud‐Based Control System with Sensing and Actuating Textile‐Based IoT Gloves for Telerehabilitation Applications

Advanced Intelligent Systems, EarlyView.
Using cloud computing technology, a telerehabilitation application allows patients to perform exercises remotely. Sensor data from a textile‐based IoT glove is processed in the cloud and transmitted as exercise commands to an actuating T‐IoT glove worn by patients.
Kadir Ozlem, Cagatay Gumus, Ayse Feyza Yilmaz, Asli Tuncay Atalay, Ozgur Atalay, Gökhan Ince   +5 more
wiley   +1 more source

Enhancing Spinal Metastasis Detection and Feature Evaluation on Computed Tomography Scans Using Deep‐Learning Systems

Advanced Intelligent Systems, EarlyView.
A deep‐learning system (DLS) is developed for the automatic detection of spinal metastases and the evaluation of associated features using computed tomography imaging. A multireader, multicase analysis and a prospective multicenter cohort study are conducted to evaluate the diagnostic performance.
Zhiyu Wang, Guangyu Yao, Shengyuan Xu, Yifeng Gu, Yujie Chang, Jing Sun, Jingyi Guo, Shiqi Peng, Bolin Lai, Xiaoyun Zhang, Chunbin Wang, Haiying Jiang, Surong Chen, Yanfeng Wang, Ya Zhang, Yuehua Li, Hui Zhao   +16 more
wiley   +1 more source

Multi‐Risk‐Level Sarcopenia‐Prone Screening via Machine Learning Classification of Sit‐to‐Stand Motion Metrics from Wearable Sensors

Advanced Intelligent Systems, EarlyView.
A machine learning approach utilizes micro inertial measurement units (μIMUs) for noninvasive sarcopenia screening through a sit‐to‐stand test. With 53 older participants wearing IMUs, 510 features are extracted across four motion phases. Five algorithms (support vector machine, K‐nearest neighbors, decision tree, linear discriminant analysis, and ...
Keer Wang, Hongyu Zhang, Clio Yuen Man Cheng, Meng Chen, King Wai Chiu Lai, Calvin Kalun Or, Yong Hu, Arul Lenus Roy Vellaisamy, Cindy Lo Kuen Lam, Ning Xi, Vivian Weiqun Lou, Wen Jung Li   +11 more
wiley   +1 more source

The Peculiarities of the Demographic transition in the Lower Volga Region in the 1920–1930s

, 2012
V. A. Cholakhian
openalex   +1 more source

Leveraging Compressed Sensing and Radiomics for Robust Feature Selection for Outcome Prediction in Personalized Ultra‐Fractionated Stereotactic Adaptive Radiotherapy

Advanced Intelligent Systems, EarlyView.
A compressed sensing (CS)‐based feature selection method is proposed to select the most informative elements in the radiomic features extracted from medical images of personalized ultra‐fractionated stereotactic adaptive treatment. The CS‐based approach is able to simplify the feature selection process and enhance the accuracy and robustness of a ...
Yajun Yu, Steve Jiang, Robert Timmerman, Hao Peng   +3 more
wiley   +1 more source

Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer

Advanced Intelligent Systems, EarlyView.
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang, Ni Fan, Weiping Wang, Jinqiang Wang, Xiaojuan Qi, Shiming Zhang   +5 more
wiley   +1 more source

The interplay among space, environment, and gene flow drives genetic differentiation in endemic Baja California Agave sobria subspecies

American Journal of Botany, EarlyView.
Abstract Premise Research on neutral and adaptive processes that lead to the divergence of species and populations is a crucial component in evolutionary and conservation genetics. Agave sobria is an endemic group of subspecies scattered on canyons along a latitudinal gradient and distinct environments of the Baja California Peninsula, Mexico.
Anastasia Klimova, Jesús Gutiérrez Rivera, Oscar E. Juárez, Alfredo Ortega Rubio, Luis E. Eguiarte   +4 more
wiley   +1 more source