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2721
Machine Learning Models for Spring Discharge Forecasting
Published 2018-01-01“…Recently, many hydraulic engineering problems have been addressed by means of advanced models derived from artificial intelligence studies. Three different machine learning algorithms were used for spring discharge forecasting in this comparative study: M5P regression tree, random forest, and support vector regression. …”
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2722
Modelling current and future forest fire susceptibility in north-eastern Germany
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2723
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2724
Oriented R-CNN With Disentangled Representations for Product Packaging Detection
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2725
Classification of white blood cells (leucocytes) from blood smear imagery using machine and deep learning models: A global scoping review.
Published 2024-01-01“…Likewise, it is critical that future health professionals be made aware of the power, efficacy, precision and applicability of computer science, soft computing and artificial intelligence contributions to medicine, and particularly in areas like medical imaging.…”
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2726
The STELLA Robotic Observatory on Tenerife
Published 2010-01-01“…Both scopes work autonomously by means of artificial intelligence. Not only that the telescopes are automated, but the entire observatory operates like a robot, and does not require any human presence on site.…”
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2727
Assistive Devices Analysis for Visually Impaired Persons: A Review on Taxonomy
Published 2022-01-01“…In recent times, the technology proved its presence in every domain of life and innovative devices are assisting humans in all fields especially, artificial intelligence has dominated and outperformed the rest of the trades. …”
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2728
Applications of unmanned vehicle systems for multi-spatial scale monitoring and management of aquatic ecosystems: A review
Published 2025-03-01“…The systematic analysis highlights the gap in UVS applications for multi-spatial scale monitoring and reveals significant opportunities for integrating UVS with Artificial Intelligence (AI), machine learning, and Internet of Things (IoT) technologies, which are improving UVS integration, security, and efficiency, and enabling better resource management and navigation accuracy. …”
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2729
Archaeological Site Detection: Latest Results from a Deep Learning Based Europe Wide Hillfort Search
Published 2025-01-01“…This research tackles the complexities of large-scale archaeological site detection by integrating Artificial Intelligence (AI) with LiDAR data, focusing on hillforts across diverse European landscapes. …”
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2730
Efficient Generative-Adversarial U-Net for Multi-Organ Medical Image Segmentation
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2731
Navigating vaccination in pregnancy: Qualitative study in 21 ethnically diverse pregnant women.
Published 2025-01-01“…We also explored women's attitudes to taking part in vaccine trials during pregnancy and the use of artificial intelligence (AI) to obtain information on vaccines.…”
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2732
Exploring LLMs Applications in Law: A Literature Review on Current Legal NLP Approaches
Published 2025-01-01“…Artificial Intelligence (AI) is reshaping the legal landscape, with software tools now impacting various aspects of legal work. …”
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2733
Enhancing Environmental Control in Broiler Production: Retrieval-Augmented Generation for Improved Decision-Making with Large Language Models
Published 2025-01-01“…Among the promising advances in artificial intelligence (AI), large language models (LLMs) hold potential to enhance decision-making in broiler production by supporting environmental control through the interpretation of climatic data, the generation of reports to optimize conditions, guidance on ventilation adjustments, recommendations for thermal management, assistance in air quality monitoring, and the translation of simulation results into actionable suggestions to improve bird welfare. …”
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2734
Mathematical Modeling of Cyberattack Defense Mechanism Using Hybrid Transfer Learning With Snow Ablation Optimization Algorithm in Critical Infrastructures
Published 2025-01-01“…Whereas AI solutions are being utilized in numerous fields, cyber security has started to become one of the concentrated fields of artificial intelligence (AI) domain. Consequently, there are many studies on identifying cyberattacks by utilizing AI methods. …”
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2735
“National Champions” and Technological “Little Giants”: Chinese Industrial Policy Between Modernization and Tradition
Published 2024-12-01“…On the one hand, there is a notable shift towards a more nuanced and multitiered support system, emphasizing incentives for technology-oriented SMEs and the development of advanced sectors such as integrated circuits, artificial intelligence, and renewable energy. On the other hand, elements of a techno-centric and mobilization-oriented approach persist, with "national champions" continuing to play a central role in driving economic development. …”
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2736
Efficient Implementation of Mahalanobis Distance on Ferroelectric FinFET Crossbar for Outlier Detection
Published 2024-01-01“…The developments in the nascent field of artificial-intelligence-of-things (AIoT) relies heavily on the availability of high-quality multi-dimensional data. …”
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2737
Sustainable Mobility in B5G/6G: V2X Technology Trends and Use Cases
Published 2024-01-01“…We start by identifying three current technology trends, namely, towards climate neutral; cloudification and edge computing; and Big Data and artificial intelligence, and then we examine their capability to enable sustainable Vehicle-to-Everything (V2X) communication systems in beyond 5G and 6G networks. …”
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2738
Robust Classification of Smartphone Captured Handwritten Document Images Using Deep Learning
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2739
A study on the global patterns in the design and development of ventricular assist devices: a visualization approach
Published 2025-01-01“…Future studies can be conducted to explore the use of artificial intelligence and machine learning that can learn from data about patients and then adapt as per the requirements of the patients.…”
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2740
FPGA-QNN: Quantized Neural Network Hardware Acceleration on FPGAs
Published 2025-01-01“…Recently, convolutional neural networks (CNNs) have received a massive amount of interest due to their ability to achieve high accuracy in various artificial intelligence tasks. With the development of complex CNN models, a significant drawback is their high computational burden and memory requirements. …”
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