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Weihong Ma, Xiangyu Qi, Yi Sun, Ronghua Gao, Luyu Ding, Rong Wang, Cheng Peng, Jun Zhang, Jianwei Wu, Zhankang Xu, Mingyu Li, Hongyan Zhao, Shudong Huang and Qifeng Li
Acquiring phenotypic data from livestock constitutes a crucial yet cumbersome phase in the breeding process. Traditionally, obtaining livestock phenotypic data primarily involves manual, on-body measurement methods. This approach not only requires extens...
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Lihong Zhang, Chaolong Liu and Nan Jia
Multimodal emotion classification (MEC) has been extensively studied in human?computer interaction, healthcare, and other domains. Previous MEC research has utilized identical multimodal annotations (IMAs) to train unimodal models, hindering the learning...
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Hajar Filali, Jamal Riffi, Chafik Boulealam, Mohamed Adnane Mahraz and Hamid Tairi
Emotion recognition has become one of the most researched subjects in the scientific community, especially in the human?computer interface field. Decades of scientific research have been conducted on unimodal emotion analysis, whereas recent contribution...
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Parag Narkhede, Rahee Walambe, Shruti Mandaokar, Pulkit Chandel, Ketan Kotecha and George Ghinea
With the rapid industrialization and technological advancements, innovative engineering technologies which are cost effective, faster and easier to implement are essential. One such area of concern is the rising number of accidents happening due to gas l...
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Mehwish Leghari, Shahzad Memon, Lachhman Das Dhomeja, Akhtar Hussain Jalbani and Asghar Ali Chandio
The extensive research in the field of multimodal biometrics by the research community and the advent of modern technology has compelled the use of multimodal biometrics in real life applications. Biometric systems that are based on a single modality hav...
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Rodrigo Smarzaro, Clodoveu A. Davis, Jr. and José Alberto Quintanilha
One of the most significant challenges in cities concerns urban mobility. Urban mobility involves the use of different modes of transport, which can be individual or collective, and different organizations can produce their respective datasets that, usua...
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Lilia Lazli, Mounir Boukadoum and Otmane Ait Mohamed
Computer-aided diagnostic (CAD) systems use machine learning methods that provide a synergistic effect between the neuroradiologist and the computer, enabling an efficient and rapid diagnosis of the patient?s condition. As part of the early diagnosis of ...
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Yongrui Huang, Jianhao Yang, Siyu Liu and Jiahui Pan
Emotion recognition plays an essential role in human?computer interaction. Previous studies have investigated the use of facial expression and electroencephalogram (EEG) signals from single modal for emotion recognition separately, but few have paid atte...
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Felipe Jiménez, José Eugenio Naranjo, José Javier Anaya, Fernando García, ... José María Armingol
Pág. 2245 - 2254
The advances in Information Technologies have led to more complex road safety applications. These systems provide multiple possibilities for improving road transport. The integrated system that this paper presents deals with two aspects that have been id...
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