The aim of the work was to identify factors affecting the total revenue of regional small enterprises operating in the field of ground passenger transportation, and to evaluate the efficiency of these enterprises. Thi...
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Efficient traffic management in urban environments is essential for minimizing congestion and ensuring smooth transportation flow. 6G network is expected to offer faster data speeds, lower latency, and enhanced connec...
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This research proposes a system as a solution for the challenges faced by Sri Lanka's historic railway system, such as scheduling delays, overcrowding, manual ticketing, and management inefficiencies. It proposes ...
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The process of attendance taking, whether in a classroom or in a job meeting has been taking a considerable amount of time from the teaching or meeting activity itself, especially with the large number of people atten...
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Electronic health records (EHRs) are becoming more essential to patient care, as they provide information that is usually valuable for health and medical decision-making. Each EHR typically comprises validated data pr...
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In recent years,cross-modal hash retrieval has become a popular research field because of its advantages of high efficiency and low ***-modal retrieval technology can be applied to search engines,crossmodalmedical pro...
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In recent years,cross-modal hash retrieval has become a popular research field because of its advantages of high efficiency and low ***-modal retrieval technology can be applied to search engines,crossmodalmedical processing,*** existing main method is to use amulti-label matching paradigm to finish the retrieval ***,such methods do not use fine-grained information in the multi-modal data,which may lead to suboptimal *** avoid cross-modal matching turning into label matching,this paper proposes an end-to-end fine-grained cross-modal hash retrieval method,which can focus more on the fine-grained semantic information of multi-modal ***,the method refines the image features and no longer uses multiple labels to represent text features but uses BERT for ***,this method uses the inference capabilities of the transformer encoder to generate global fine-grained ***,in order to better judge the effect of the fine-grained model,this paper uses the datasets in the image text matching field instead of the traditional label-matching *** article experiment on Microsoft COCO(MS-COCO)and Flickr30K datasets and compare it with the previous *** experimental results show that this method can obtain more advanced results in the cross-modal hash retrieval field.
Nowadays, photoplethysmograph (PPG) technology is being used more often in smart devices and mobile phones due to advancements in information and communication technology in the health field, particularly in monitorin...
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This study focuses on enhancing Natural Language Processing (NLP) in generative AI chatbots through the utilization of advanced pre-trained models. We assessed five distinct Large Language Models (LLMs): TRANSFORMER M...
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ChatGPT is a useful tool for teaching and learning in the context of education. Despite ChatGPT's growing popularity across several fields, little is known about how it is accepted and used, particularly in the co...
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When used in conjunction with education, ChatGPT is a helpful tool for teaching and understanding fundamental concepts. Students who struggle to find study partners or lack the time to attend tutoring sessions may dis...
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