Výsledky vyhledávání - "Subjects Algorithms and Analysis of Algorithms"

Enhanced congestion prediction of traffic flow using a hybrid attention-based deep learning model Autor Aburasain, Rua Yahya

“…Traffic congestion has become a critical issue worldwide, significantly impacting the quality of life and causing economic losses in urban areas. To address…”
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Optimizing type 2 diabetes management: AI-enhanced time series analysis of continuous glucose monitoring data for personalized dietary intervention Autor Anjum, Madiha, Saher, Raazia, Saeed, Muhammad Noman

“…Despite advanced health facilities in many developed countries, diabetic patients face multifold health challenges. Type 2 diabetes mellitus (T2DM) go along…”
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GAT TransPruning: progressive channel pruning strategy combining graph attention network and transformer Autor Lin, Yu-Chen, Wang, Chia-Hung, Lin, Yu-Cheng

“…Recently, large-scale artificial intelligence models with billions of parameters have achieved good results in experiments, but their practical deployment on…”
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Learning label smoothing for text classification Autor Ren, Han, Zhao, Yajie, Zhang, Yong, Sun, Wei

“…Training with soft labels instead of hard labels can effectively improve the robustness and generalization of deep learning models. Label smoothing often…”
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Dipper throated optimization with deep convolutional neural network-based crop classification for remote sensing image analysis Autor Alotaibi, Youseef, Rajendran, Brindha, Rani K., Geetha, Rajendran, Surendran

“…With the rapid advancement of remote sensing technology is that the need for efficient and accurate crop classification methods has become increasingly…”
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LocustLens: leveraging environmental data fusion and machine learning for desert locust swarm prediction Autor Khan, Sidra, Akram, Beenish Ayesha, Zafar, Amna, Wasim, Muhammad, Khurshid, Khaldoon S., Pires, Ivan Miguel

“…The desert locust is one of the most destructive locusts recorded in human history, and it has caused significant food shortages, monetary losses, and…”
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Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices Autor Qaiser, Firdous, Hussain, Mudassar, Ahad, Abdul, Pires, Ivan Miguel

“…Named Data Networking (NDN) has emerged as a promising network architecture for content delivery in edge infrastructures, primarily due to its name-based…”
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Ten quick tips for improving estimated time of arrival predictions using machine learning in logistics and transportation systems Autor Wani, Aasim Ayaz

“…Accurate estimated time of arrival (ETA) predictions are critical for modern logistics, influencing delivery reliability, operational efficiency, and customer…”
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