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Vijeta Sharma, Manjari Gupta, Ajai Kumar and Deepti Mishra
The video camera is essential for reliable activity monitoring, and a robust analysis helps in efficient interpretation. The systematic assessment of classroom activity through videos can help understand engagement levels from the perspective of both stu...
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Alvaro A. Teran-Quezada, Victor Lopez-Cabrera, Jose Carlos Rangel and Javier E. Sanchez-Galan
Convolutional neural networks (CNN) have provided great advances for the task of sign language recognition (SLR). However, recurrent neural networks (RNN) in the form of long?short-term memory (LSTM) have become a means for providing solutions to problem...
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Christy M. Caudill, Peter L. Pulsifer, Romola V. Thumbadoo and D. R. Fraser Taylor
The halfway point for the implementation of the United Nations Sustainable Development Goals (SDGs) was marked in 2023, as set forth in the 2030 Agenda. Geospatial technologies have proven indispensable in assessing and tracking fundamental components of...
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Fabian Barreto, Jignesh Sarvaiya, Suprava Patnaik
Pág. 279 - 294
For decades, researchers have investigated how to recognize facial images. This study reviews the development of different face recognition (FR) methods, namely, holistic learning, handcrafted local feature learning, shallow learning, and deep learning (...
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Richun You, Wenzhe Tang, Colin F. Duffield, Lihai Zhang, Felix Hui and Yanling Kang
The international hydropower construction market is continuously growing during the past decade. The existing literature points out that contractors are facing ongoing difficulties in achieving the objectives of developing international hydropower projec...
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Ki-Yeob Kang, Xiangyu Wang, Jun Wang, Shuyuan Xu, Wenchi Shou and Yanhui Sun
To scrutinize the current application of building information modelling (BIM) and computational fluid dynamics (CFD) integration in research as well as industrial fields, the present study conducted a holistic review including a bibliometric exploration ...
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Atallah AL-Shatnawi,Faisal Al-Saqqar,Safa?a Alhusban
Pág. pp. 20 - 34
In this paper, we introduce a multi-stage offline holistic handwritten Arabic text recognition model using the Local Binary Pattern (LBP) technique and two machine-learning approaches; Support Vector Machines (SVM) and Artificial Neural Network (ANN). In...
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Michael Toze, Julie Fish, Trish Hafford-Letchfield and Kathryn Almack
Internationally, there is increasing recognition that lesbian, gay, bisexual and trans (LGBT) populations experience substantial public health inequalities and require interventions to address these inequalities, yet data on this population is often not ...
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Yuting Liu, Hongyu Yang and Qijun Zhao
In this work, we focus on the misalignment problem in person re-identification. Human body parts commonly contain discriminative local representations relevant with identity recognition. However, the representations are easily affected by misalignment th...
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Don Jyh-Fu Jeng, Ta Huy Hung
Pág. 30 - 42
Although failure can be financially, socially, and psychologically costly, it can promote future entrepreneurial success. This study investigated how failure can be utilized as a springboard for new ventures by considering the cost recognition, learning ...
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