An Efficient and Hybrid Deep Learning-Driven Model to Enhance Security and Performance of Healthcare Internet of Things by Muhammad Babar, Muhammad Usman Tariq, Basit Qureshi, Zabeeh Ullah, Fahim Arif, Zahid Khan

Subjects: Get full text

SiameseNet based on multiple instance learning for accurate identification of the histological grade of ICC tumors by Zhizhan Fu, Fazhi Feng, Xingguang He, Tongtong Li, Xiansong Li, Jituome Ziluo, Zixing Huang, Jinlin Ye

Subjects: Get full text

NUMBERED HEADS TOGETHER LEARNING STRATEGY FOR INCREASING FRESHMEN STUDENTS’ ACHIEVEMENT IN LITERATURE THEORY COURSE by Fina Hiasa, Emi Agustina

“… This study aims to find out how the implementation of the Numbered Heads Together (NHT) learning model in Literature Theory courses can improve the quality of learning. …”
Get full text

The impact of precompetition state on athletic performance among track and field athletes using machine learning by Yuting Zhang, Pengyu Fu, Qi Yu, Qingmei Niu, Dongfeng Nie, Xiangya Dou, Xiaoqin Zhang

Subjects: Get full text

Machine learning-based anomaly detection and prediction in commercial aircraft using autonomous surveillance data. by Tian Xia, Lanju Zhou, Khalil Ahmad

“…The creation of a machine learning model employing data from autonomous-reliant surveillance transmissions is essential for the detection and prediction of commercial aircraft accidents. …”
Get full text

Using Deep Learning to Identify High-Risk Patients with Heart Failure with Reduced Ejection Fraction by Zhibo Wang, Xin Chen, Xi Tan, Lingfeng Yang, Kartik Kannapur, Justin L. Vincent, Garin N. Kessler, Boshu Ru, Mei Yang

“…**Background:** Deep Learning (DL) has not been well-established as a method to identify high-risk patients among patients with heart failure (HF). …”
Get full text

Hybrid intelligent optimization strategy of battery swapping station for electric vehicles based on reinforcement learning by Hongwei Yi, Huan Zhang, Jianghong Li, Yanling Zhao

Subjects: Get full text

How the General Public and Local Officials Prefer to Learn about Agricultural Water Use in Florida by Courtney T. Owens, Alexa J. Lamm, Ricky W. Telg

“…AEC585/WC247: How the General Public and Local Officials Prefer to Learn about Agricultural Water Use in Florida (ufl.edu) …”
Get full text

Olfaction-based learned preference assessment without the use of motivational fear or motivational weight loss by Sara E. Moss, Ekaterina S. McCurdy, Natalya N. Thomas, Danielle Gulick, Angela M. Poff, Dominic P. D'Agostino

Subjects: Get full text

Analysis of Gas Pipeline Failure Factors Based on the Novel Bayesian Network by Machine Learning Optimization by Shuangqing Chen, Shun Zhou, Zhe Xu, Yongbin Liu, Bing Guan, Xiaoyu Jiang, Wencheng Li

Subjects: Get full text

Insights into ozone pollution control in urban areas by decoupling meteorological factors based on machine learning by Y. Qiu, X. Li, X. Li, W. Chai, Y. Liu, M. Song, X. Tian, Q. Zou, W. Lou, W. Zhang, J. Li, Y. Zhang

“…In this study, we integrated a machine learning model, an observation-based model, and a positive matrix factorization model based on 4 years of continuous observation data from a typical urban site. …”
Get full text

Geographical origin discrimination of Chenpi using machine learning and enhanced mid-level data fusion by Xin Kang Li, Li Jun Tang, Ze Ying Li, Dian Qiu, Zhuo Ling Yang, Xiao Yi Zhang, Xiang-Zhi Zhang, Jing Jing Guo, Bao Qiong Li

“…Thirty-nine samples from eight regions in Xinhui district (Guangdong, China) are analyzed by gas chromatography (GC) and mid-infrared (MIR) technique. Four machine learning methods are employed to establish discrimination models based on GC and MIR data, with two mid-level data fusion strategies to combine the data. …”
Get full text

AI-driven video summarization for optimizing content retrieval and management through deep learning techniques by Deepali Vora, Payal Kadam, Dadaso D Mohite, Nilesh Kumar, Nimit Kumar, Pratheeik Radhakrishnan, Shalmali Bhagwat

Get full text

Assessing the Utilization of Technology in the Teaching and Learning of English Language in Selected Secondary Schools in Kabale Municipality. by Ariho, Pretty

Subjects: Get full text

Role of ICT in Teaching and Learning Integrated Science in Primary Schools in Central Division Kabale Municipality. by Tumukurate, Dickson

Subjects: Get full text

A Deep Learning Enabled Chest X-Ray Abnormality Detection Model for Radiology Assistance. by Ssempeebwa, Phillip, Ainembabazi, Patience

Subjects: “…Deep Learning…”
Get full text

Effect of Active Teaching and Learning on Students’ Reading Skills in Selected Secondary Schools of Sheema Municipality. by Atuheire, Janis

Subjects: Get full text

Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features by Samuel, Kakuba, Alwin, Poulose, Dong, Seog Han, Senior Member, Ieee

“…In this paper, we propose a deep learning-based model named concurrent spatial-temporal and grammatical (CoSTGA) model that concurrently learns spatial, temporal and semantic representations in the local feature learning block (LFLB) which are fused as a latent vector to form an input to the global feature learning block (GFLB). …”
Get full text

Adaptive anomaly detection disruption prediction starting from first discharge on tokamak by X.K. Ai, W. Zheng, M. Zhang, Y.H. Ding, D.L. Chen, Z.Y. Chen, B.H. Guo, C.S. Shen, N.C. Wang, Z.J. Yang, Z.P. Chen, Y. Pan, B. Shen, B.J. Xiao, J-TEXT team

Subjects: Get full text

Using Micro-Learning to Enhance Knowledge and Skills of Airway Management in Nurse Anesthesia Students: An Interventional Study by Masoumeh Albooghobeish, Alireza Ghalandeh, Ali Khalafi, Mohammad Hosein Haghighizadeh

Subjects: “…Micro-Learning…”
Get full text