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Hichem Smaoui, Sadok Mehrez and Mohamed Omri
This study presents a new method to estimate the residual forces (tones) of the trunk muscles at rest, including the deep ones that are difficult to reach with nonintrusive means. Compared to classical methods (intrusive means), this method is painless a...
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Tahani Alqurashi
Arabic dialect identification (ADI) has recently drawn considerable interest among researchers in language recognition and natural language processing fields. This study investigated the use of a character-level model that is effectively unrestricted in ...
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Jin-A Lee and Keun-Chang Kwak
Conventional personal identification methods (ID, password, authorization certificate, etc.) entail various issues, including forgery or loss. Technological advances and the diffusion across industries have enhanced convenience; however, privacy risks du...
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Matteo D. L. Dalla Vedova, Alfio Germanà, Pier Carlo Berri and Paolo Maggiore
Traditional hydraulic servomechanisms for aircraft control surfaces are being gradually replaced by newer technologies, such as Electro-Mechanical Actuators (EMAs). Since field data about reliability of EMAs are not available due to their recent adoption...
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Sarfaraz Natha, Umme Laila, Ibrahim Ahmed Gashim, Khalid Mahboob, Muhammad Noman Saeed and Khaled Mohammed Noaman
Brain tumors (BT) represent a severe and potentially life-threatening cancer. Failing to promptly diagnose these tumors can significantly shorten a person?s life. Therefore, early and accurate detection of brain tumors is essential, allowing for appropri...
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Ruben Florez, Facundo Palomino-Quispe, Roger Jesus Coaquira-Castillo, Julio Cesar Herrera-Levano, Thuanne Paixão and Ana Beatriz Alvarez
Drowsiness detection is an important task in road safety and other areas that require sustained attention. In this article, an approach to detect drowsiness in drivers is presented, focusing on the eye region, since eye fatigue is one of the first sympto...
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Emanuela Bortolin, Concetta Boniglia, Maria Campaniello, Andrea Chiappinelli, Marina Foti, Marco Iammarino, Olga Lai, Valeria Nardelli, Antonella Nardoni, Irene Palermo, Maria Cristina Quattrini and Michele Tomaiuolo
This work reports the results of a study carried out to verify the applicability of the CEN EN 13751 method, based on the photo-stimulated luminescence (PSL) technique, for the identification of irradiated fruit. A total of 15 types of fresh and dried fr...
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Munir Ahmad, Sagheer Abbas, Areej Fatima, Ghassan F. Issa, Taher M. Ghazal and Muhammad Adnan Khan
The importance of accurate livestock identification for the success of modern livestock industries cannot be overstated as it is essential for a variety of purposes, including the traceability of animals for food safety, disease control, the prevention o...
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N.N. Goglev,S.A. Migalin,E.V. Kasatkina
Pág. 111 - 119
The use of artificial intelligence technologies and big data analysis in risk management makes it possible to reduce the burden on experts and reduce the influence of the human factor in risk assessment. These technologies are well studied and actively u...
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Raisa Borovskaya, Denis Krivoguz, Sergei Chernyi, Efim Kozhurin, Victoria Khorosheltseva and Elena Zinchenko
Knowledge of the spatio-temporal distribution of salinity provides valuable information for understanding different processes between biota and environment, especially in hypersaline lakes. Remote sensing techniques have been used for monitoring differen...
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Feras Alkam and Tom Lahmer
This study proposes an efficient Bayesian, frequency-based damage identification approach to identify damages in cantilever structures with an acceptable error rate, even at high noise levels. The catenary poles of electric high-speed train systems were ...
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Matteo Bottin, Silvio Cocuzza, Nicola Comand and Alberto Doria
The stiffness properties of industrial robots are very important for many industrial applications, such as automatic robotic assembly and material removal processes (e.g., machining and deburring). On the one hand, in robotic assembly, joint compliance c...
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Jiaoyan Huang, Aiguo Xia, Shenao Zou, Cong Han and Guoan Yang
Effective and accurate diagnosis of engine health is key to ensuring the safe operation of engines. Inlet distortion is due to the flow or the pressure variations. In the paper, an acoustic emission (AE) online monitoring technique, which has a faster re...
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Victor Olago, Mazvita Muchengeti, Elvira Singh and Wenlong C. Chen
We explored various Machine Learning (ML) models to evaluate how each model performs in the task of classifying histopathology reports. We trained, optimized, and performed classification with Stochastic Gradient Descent (SGD), Support Vector Machine (SV...
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Raechel A. White, Michael Bomber, Joseph P. Hupy and Ashton Shortridge
Jack pine (pinus banksiana) forests are unique ecosystems controlled by wildfire. Understanding the traits of revegetation after wildfire is important for sustainable forest management, as these forests not only provide economic resources, but also are h...
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Wen Zhang, Chaoqi Bu, Taketoshi Yoshida and Siguang Zhang
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Wen Zhang, Chaoqi Bu, Taketoshi Yoshida and Siguang Zhang
Spam reviews are increasingly appearing on the Internet to promote sales or defame competitors by misleading consumers with deceptive opinions. This paper proposes a co-training approach called CoSpa (Co-training for Spam review identification) to identi...
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Hong Wang, Qingsong Xu and Lifeng Zhou
To surface the Deep Web, one crucial task is to predict whether a given web page has a search interface (searchable HyperText Markup Language (HTML) form) or not. Previous studies have focused on supervised classification with labeled examples. However, ...
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Hong Wang, Qingsong Xu and Lifeng Zhou
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E. Heystek, N. J.J. Niemand, S. Bamard
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