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Haikel Alhichri, Yakoub Bazi, Naif Alajlan and Bilel Bin Jdira
This work presents a deep learning method for scene description. (1) Background: This method is part of a larger system, called BlindSys, that assists the visually impaired in an indoor environment. The method detects the presence of certain objects, reg...
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Qasem Abu Al-Haija, Manaf Gharaibeh and Ammar Odeh
Weather detection systems (WDS) have an indispensable role in supporting the decisions of autonomous vehicles, especially in severe and adverse circumstances. With deep learning techniques, autonomous vehicles can effectively identify outdoor weather con...
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Seojin Jang, Wei Liu and Yongbeom Cho
Owing to their high accuracy, deep convolutional neural networks (CNNs) are extensively used. However, they are characterized by high complexity. Real-time performance and acceleration are required in current CNN systems. A graphics processing unit (GPU)...
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Sotirios Kontogiannis, Myrto Konstantinidou, Vasileios Tsioukas and Christos Pikridas
In viticulture, downy mildew is one of the most common diseases that, if not adequately treated, can diminish production yield. However, the uncontrolled use of pesticides to alleviate its occurrence can pose significant risks for farmers, consumers, and...
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David Clement, Emmanuel Agu, John Obayemi, Steve Adeshina and Wole Soboyejo
Breast cancer accounts for 30% of all female cancers. Accurately distinguishing dangerous malignant tumors from benign harmless ones is key to ensuring patients receive lifesaving treatments on time. However, as doctors currently do not identify 10% to 3...
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Vincenzo Taormina, Donato Cascio, Leonardo Abbene and Giuseppe Raso
The search for anti-nucleus antibodies (ANA) represents a fundamental step in the diagnosis of autoimmune diseases. The test considered the gold standard for ANA research is indirect immunofluorescence (IIF). The best substrate for ANA detection is provi...
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Giuseppe Ciaburro, Sankar Padmanabhan, Yassine Maleh and Virginia Puyana-Romero
The modern conception of industrial production recognizes the increasingly crucial role of maintenance. Currently, maintenance is thought of as a service that aims to maintain the efficiency of equipment and systems while also taking quality, energy effi...
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Mesfer Al Duhayyim, Eatedal Alabdulkreem, Khaled Tarmissi, Mohammed Aljebreen, Bothaina Samih Ismail Abou El Khier, Abu Sarwar Zamani, Ishfaq Yaseen and Mohamed I. Eldesouki
Video surveillance in smart cities provides efficient city operations, safer communities, and improved municipal services. Object detection is a computer vision-based technology, which is utilized for detecting instances of semantic objects of a specific...
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