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1
Advancing paleontology: a survey on deep learning methodologies in fossil image analysis
منشور في 2025"…Recent advances in deep learning offer the potential to automate fossil image analysis, improving throughput and limiting operator bias. …"
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Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
منشور في 2021"…<p>The current electric power system witnesses a significant transition into Smart Grids (SG) as a promising landscape for high grid reliability and efficient energy management. …"
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Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks
منشور في 2024"…This survey paper offers an in-depth examination of advanced machine learning (ML) and deep learning (DL) approaches employed in developing sophisticated IDS for safeguarding IVNs against potential cyber-attacks. …"
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Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review
منشور في 2022"…Recent publications have been reviewed on the basis of their application of deep learning with current advancement technology. …"
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Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis
منشور في 2025"…<p dir="ltr">This systematic review and meta-analysis comprehensively analyzes deep learning approaches for brain electron microscopy (EM) segmentation, addressing the critical challenge of extracting neuroanatomical information at nanometer resolution. …"
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The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000)
منشور في 2000"…Due to the high incidence of adverse effects associated with its chronic use, alternative treatments based on the direct-acting dopamine agonists have been used. Deep brain stimulation has been proposed as an alternative effective treatment for advanced PO cases disabled by the high incidence of levodopa-induced motor complications. …"
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masterThesis -
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Deep Learning for the Accurate Prediction of Triggered Drug Delivery
منشور في 2024"…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …"
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Growth hormone treatment modulates active ghrelin levels in rats
منشور في 2014"…Genotropin treatment caused a dose dependent decrease in active ghrelin concentration in stomach, kidney and pancreas with a concomitant increase in plasma, and reaching significance at 20 and 100 µg/rat/day doses. …"
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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass
منشور في 2025"…However, traditional monitoring methods can be labor-intensive and costly, especially in complex underwater environments. Deep learning approaches have made significant progress in digital image processing, particularly in object recognition and classification, and are among the most popular computer vision tools. …"
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13
Deep learning in automated power line inspection: A review
منشور في 2025"…The utilization of an extensive collection of videos and images has become essential for maintaining the reliability, safety, and sustainability of electricity transmission. A significant focus on applying deep learning techniques for enhancing power line inspection processes has been observed in recent research. …"
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Deep aging clocks: AI-powered strategies for biological age estimation
منشور في 2025"…Recent advances in artificial intelligence (AI), utilizing deep learning techniques, have significantly enhanced the prediction of biological aging, and this would help improve aging clocks and accelerate efforts to reach longer and healthier lives.…"
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Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4
منشور في 2025"…This approach is rooted in the use of advanced transformer architectures and a specialized tokenization method that maintains semantic coherence, allowing for deep contextual analysis by GPT-4. …"
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18
Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better?
منشور في 2024"…While conventional manual techniques are time-consuming and prone to errors, advanced deep learning models have shown promising results in medical image segmentation. …"
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A novel deep learning identifier for promoters and their strength using heterogeneous features
منشور في 2024"…Here, we designed a powerful bi-layer deep-learning based predictor named “PROCABLES“, which discriminates DNA samples as promoters in the first-phase and strong or weak promoters in the second-phase respectively. …"