Nebojsa Bacanin¹, Khaled Alhazmi^2,*, Miodrag Zivkovic¹, K. Venkatachalam³, Timea Bezdan¹, Jamel Nebhen⁴

CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 4199-4215, 2022, DOI:10.32604/cmc.2022.020449 - 27 September 2021

Abstract In the domain of artificial neural networks, the learning process represents one of the most challenging tasks. Since the classification accuracy highly depends on the weights and biases, it is crucial to find its optimal or suboptimal values for the problem at hand. However, to a very large search space, it is very difficult to find the proper values of connection weights and biases. Employing traditional optimization algorithms for this issue leads to slow convergence and it is prone to get stuck in the local optima. Most commonly, back-propagation is used for multi-layer-perceptron training and… More >

Sudan Prasad Uprety, Seung Ryul Jeong^*

Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 1-11, 2022, DOI:10.32604/iasc.2022.018757 - 03 September 2021

Abstract Natural Language Understanding and Speech Understanding systems are now a global trend, and with the advancement of artificial intelligence and machine learning techniques, have drawn attention from both the academic and business communities. Domain prediction, intent detection and entity extraction or slot fillings are the most important parts for such intelligent systems. Various traditional machine learning algorithms such as Bayesian algorithm, Support Vector Machine, and Artificial Neural Network, along with recent Deep Neural Network techniques, are used to predict domain, intent, and entity. Most language understanding systems process user input in a sequential order: domain… More >

Da David Jiang^1,2, Nicholas H. Chakiryan^1,2, Kyle A. Gillis^1,2, Jason C. Hedges¹, John M. Barry¹

Canadian Journal of Urology, Vol.28, No.4, pp. 10783-10787, 2021

Abstract Introduction: To evaluate the educational value of transplant rotation in urology residency. In the United States, exposure to kidney transplantation during urology residency has declined significantly over the past few decades. At our institution, transplantation has been a core component of urology residency since its inception in 1959.
Materials and methods: A 15-question anonymous survey was developed. The first 8 questions queried demographics, and the last 7 were a set of questions with a Likert Scale response. The survey was electronically mailed to past and current urology residents who had completed the transplant rotation, dating back to 1972.
… More >

Kathryn E. Wagner¹, Mary E. Soyster¹, Christian Bartels¹, Stanton Honig², Brooke A. Harnisch¹

Canadian Journal of Urology, Vol.28, No.6, pp. 10941-10945, 2021

Abstract Introduction: Resident training in vasectomy, especially in the office setting on the awake patient, may be limited. The aim of this study is to understand resident exposure to vasectomy and to identify barriers to learning.
Materials and methods: An anonymous 18-question survey was distributed to urology residents of the 135 ACGME-accredited urology residencies in the United States. Residents were asked to specify the total number of vasectomies they had performed and in what environment (operating room versus office), their comfort performing vasectomy independently, and any barriers to learning the procedure.
Results: In total, 119 residents responded to the… More >

Wei Jiang^1,*, Gang He²

Molecular & Cellular Biomechanics, Vol.18, No.4, pp. 221-229, 2021, DOI:10.32604/mcb.2021.017050 - 27 October 2021

Abstract Tennis service is an important part of winning a match. This study analyzed the mechanics of tennis serving speed and divided ten tennis players into two groups. One group carried out conventional training, while the other group carried out auxiliary training on shoulders through elastic band besides conventional training. The actions were photographed by cameras and analyzed. The results showed that the throwing height and hitting point height of the two groups improved after the experiment, and p < 0.05 in the comparison between Groups A and B; the ball deflection angle reduced after throwing, but the improvement More >

Jing Sun^1,3,*, Youting Lin², Yangyang Fan⁴, Samantha Ferguson³, Nicholas Buys³, Minyan Sun²

International Journal of Mental Health Promotion, Vol.23, No.3, pp. 417-427, 2021, DOI:10.32604/IJMHP.2021.013098 - 23 July 2021

Abstract Knee instability as a symptom of ligament injury usually only receives attention when it causes pain or impacts patients’ mobility in China. In this study both the physical and psychosocial impact of an innovative approach to treatment, Half-cut Wood Training, was examined. Twenty individuals with knee instability who received Halfcut Wood Training (Intervention group) and twenty two individuals with knee instability who did not receive Half-cut Wood Training (as Control group) participated in the study. The electric WIFI based HBF-306 was used to collect the anthropometry and biomedical data. Symptom severity was assessed by a… More >

Qingyang Zhou¹, Jiaohua Qin^1,*, Xuyu Xiang¹, Yun Tan¹, Neal N. Xiong²

CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 159-174, 2021, DOI:10.32604/cmc.2021.017480 - 04 June 2021

Abstract The existing safety helmet detection methods are mainly based on one-stage object detection algorithms with high detection speed to reach the real-time detection requirements, but they can’t accurately detect small objects and objects with obstructions. Therefore, we propose a helmet detection algorithm based on the attention mechanism (AT-YOLO). First of all, a channel attention module is added to the YOLOv3 backbone network, which can adaptively calibrate the channel features of the direction to improve the feature utilization, and a spatial attention module is added to the neck of the YOLOv3 network to capture the correlation… More >

Shengjie Li, Chaosheng Tang^*

Journal on Artificial Intelligence, Vol.3, No.2, pp. 55-62, 2021, DOI:10.32604/jai.2021.017408 - 08 May 2021

Abstract On the basis of studying the influencing factors of training effect evaluation, this paper constructs an AHP-fuzzy comprehensive evaluation model for farmers’ vocational training activities in Hainan Province to evaluate farmers’ training effect, which overcomes the limitations of traditional methods. Firstly, the content and index system of farmer training effect evaluation are established by analytic hierarchy process, and the weight value of each index is determined. Then, the fuzzy comprehensive evaluation (FCE) of farmer training effect is carried out by using multi-level FCE. The joint use of AHP and FCE improves the reliability and effectiveness More >

Shakeel Ahmed¹, Munazza Ambreen¹, Muneer Ahmad², Abdulellah A. Alaboudi³, Roobaea Alroobaea⁴, NZ Jhanjhi^5,*

Computer Systems Science and Engineering, Vol.38, No.2, pp. 131-140, 2021, DOI:10.32604/csse.2021.016504 - 23 April 2021

Abstract The COVID-19 outbreak severely affected formal face-to-face classroom teaching and learning. ICT-based online education and training can be a useful measure during the pandemic. In the Pakistani educational context, the use of ICT-based online training is generally sporadic and often unavailable, especially for developing English-language instructors’ listening comprehension skills. The major factors affecting availability include insufficient IT resources and infrastructure, a lack of proper online training for speech and listening, instructors with inadequate academic backgrounds, and an unfavorable environment for ICT-based training for listening comprehension. This study evaluated the effectiveness of ICT-based training for developing More >

Chung Le Van¹, Trinh Hiep Hoa¹, Nguyen Minh Duc¹, Vikram Puri¹, Tung Sanh Nguyen², Dac-Nhuong Le^3,4,*

Intelligent Automation & Soft Computing, Vol.27, No.3, pp. 853-871, 2021, DOI:10.32604/iasc.2021.013732 - 01 March 2021

Abstract Background: Augmented Reality (AR) incorporates both real and virtual objects in real-time environments and allows single and multi-users to interact with 3D models. It is often tricky to adopt multi-users in the same environment because of the devices’ latency and model position accuracy in displaying the models simultaneously. Method: To address this concern, we present a multi-user sharing technique in the AR of the human anatomy that increases learning with high quality, high stability, and low latency in multiple devices. Besides, the multi-user interactive display (HoloLens) merges with the human body anatomy application (AnatomyNow) to… More >