Research on machine learning methods for detecting objects in difficult shooting conditions by Vitalii Serdechnyi, Olesia Barkovska, Andriy Kovalenko, Anton Havrashenko, Vitalii Martovytskyi

“…The subject matter of the article is research into machine learning methods for object detection in images and videos under complex urban conditions, particularly under poor lighting, the presence of precipitation, high scene complexity, and limited computational resources. The goal of this research is to identify the most effective deep learning models based on convolutional neural networks for object detection tasks under challenging imaging conditions, considering the practical requirements for accuracy and processing speed. …”
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Approach to automating viral genome assembly by Ms Anastasiia Paremskaia, Dr Andrei Deviatkin, Dr Pavel Volchkov

“…At the same time the initial analysis of these data currently is not routine procedure and requires substantial computational resources to process and interpret the vast amounts of data generated. …”
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THE IMPACT OF THE USE OF BIOFUELS ON CO2 EMISSIONS AT THE LEVEL OF EUROPEAN COUNTRIES FROM THE PERSPECTIVE OF ABSOLUTE DECOUPLING by Valentina SIMION, Liviu MARCUTA, Maricel CAZACU, Nicolae MINEA, Camelia HODOAȘAN

“…However, countries in transition, which are struggling due to older infrastructure and limited resources, need additional support to achieve their climate goals. …”
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Scientific data cloud construction and service of Chinese Academy of Sciences by Jianhui LI, Yuanchun ZHOU, Lianglin HU, Feng LIU, Yanhua ZHU, Zhihong SHEN, Zhangsheng WU, Yang ZHANG

“…Scientific Data Resource Integration and Sharing Project is one of the 5 major informatization-specific projects of CAS for the 12th Five-Year Plan period.The overall construction of the project ideas,construction,technical innovation and service innovation,etc.…”
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Research on Anime-Style Image Generation Based on Stable Diffusion by Yang Mingbo

“…Combined with the advantages of the LoRA model, the resources and time required for training are significantly reduced, enabling high- quality image generation even in resource-constrained environments.…”
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Bi-branch Neural Network for Urban Functional Zone Mapping: Combining Remote Sensing Imagery and Point-of-Interest Data by L. Ying, X. Chen, X. Chen, X. Chen, X. Chen, J. Zhao, Y. Zhang, H. Sun, W. Tu, W. Tu, W. Tu, W. Tu

“…Urban functional zone (UFZ) classification is essential for understanding city dynamics, supporting urban planning, and enabling effective resource allocation. Traditional approaches rely heavily on remote sensing imagery, which often lacks the contextual information necessary for distinguishing between zones with similar visual features but different functions. …”
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Does Eco-label Format Influence Consumers’ Valuation of Fruit-Producing Plants? by Hayk Khachatryan, Alicia Rihn, Xuan Wei

“…This 6-page fact sheet written by Hayk Khachatryan, Alicia Rihn, and Xuan Wei and published by the UF/IFAS Food and Resource Economics Department summarizes a study that addressed how different eco-label formats (text vs. logo) impact consumer visual attention, preferences, and valuations of fruit-producing plants. …”
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Does Eco-label Format Influence Consumers’ Valuation of Fruit-Producing Plants? by Hayk Khachatryan, Alicia Rihn, Xuan Wei

“…This 6-page fact sheet written by Hayk Khachatryan, Alicia Rihn, and Xuan Wei and published by the UF/IFAS Food and Resource Economics Department summarizes a study that addressed how different eco-label formats (text vs. logo) impact consumer visual attention, preferences, and valuations of fruit-producing plants. …”
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Does Eco-label Format Influence Consumers’ Valuation of Fruit-Producing Plants? by Hayk Khachatryan, Alicia Rihn, Xuan Wei

“…This 6-page fact sheet written by Hayk Khachatryan, Alicia Rihn, and Xuan Wei and published by the UF/IFAS Food and Resource Economics Department summarizes a study that addressed how different eco-label formats (text vs. logo) impact consumer visual attention, preferences, and valuations of fruit-producing plants. …”
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Review of the Complexity of Managing Big Data of the Internet of Things by David Gil, Magnus Johnsson, Higinio Mora, Julian Szymański

“…Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description Framework (RDF), and the application of machine learning methods to carry out classifications, predictions, and visualizations. …”
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Light as Tool for Deep Object Form Perception by Harald Skulberg

“…In laboratory experiments with models representing defined form idioms, this study demonstrates how light may enable new and deep object form perception. This body of visual documentation supports an understanding of light’s potential as both an analytical and creative resource, aiming at pedagogies that stimulate aesthetic sensitivity. …”
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ARE THEY WATCHING? TEST-TAKER VIEWING BEHAVIOR DURING AN L2 VIDEO LISTENING TEST by Elvis Wagner

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La dictionnairique Internet : l’exemple du dictionnaire des synonymes du CRISCO by Jean-Luc Manguin

“…In addition to their interest coming from their availability, on-line resources may become a powerful learning tool ; for instance, it is possible, from our dictionary of synonyms, to build interactive visualizations of meaning which form a choice aid for the teaching of vocabulary.…”
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The Development of Porosity-Enhanced Synthetic Coal Plugs for Simulating Deep Coalbed Methane Reservoirs: A Novel Laboratory Approach by Changqing Liu, Zhaobiao Yang, Heqing Chen, Guoxiao Zhou, Yuhui Liang, Junyu Gu, Yuqiang Wang, Cunlei Li, Benju Lu, Shuailong Feng, Jianan Wang

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Feasibility and Applicability of Implementing the Framework for Comprehensive Understanding of Structural Stigma in Mental Healthcare Systems: A Case Example of Nepal by Dristy Gurung, Bhawana Subedi, Binita Acharya, Mani Neupane, Brandon A. Kohrt, Graham Thornicroft, Petra C. Gronholm

“…However, challenges were noted regarding the clarity of some indicators, limitations of the three‐coloured visual analogue rating and the need for comparator conditions. …”
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DeepGenMon: A Novel Framework for Monkeypox Classification Integrating Lightweight Attention-Based Deep Learning and a Genetic Algorithm by Abdulqader M. Almars

“…Next, the CNN is employed to process the visual input and extract hierarchical features for classifying the input data into multiple classes. …”
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Defining geosciences research data through metadata reuse: by Alexandre Ribas Semeler, Luana Farias Sales, Adilson Luiz Pinto, Roberta Pereira da Silva de Paula, Valquer Cleyton Paes Gandra, Heloisa Costa

“…Research data refers to factual records used as primary scientific research resources. Reusing research data metadata provides a new perspective, allowing the presentation of new tests, hypotheses, and new research developments. …”
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Understanding climate literacy research using scientometrics analysis by Rahmawaty, Mohd Hasmadi Ismail, Abdul Rauf, Muhammad Fuad Abdullah, Mohd Iqbal Mohd Noor, Amira Mas Ayu Amir Mustafa, Seca Gandaseca, Mahawan Karuniasa, Yekyoum Kim, Mohd Nazip Suratman, Siti Aekbal Salleh, Peter Aning Tedong

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Trends in research on relationship between root exudates and soil phosphorus: a bibliometric analysis by Yijie Ding, Yijie Ding, Jiabao Yao, Fengqing Li, Shiyou Chen, Shiyou Chen, Hui Wang, Hui Wang, Lingyu Hou, Lingyu Hou, Lei Liu, Lei Liu, Qiwu Sun, Qiwu Sun

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Empowering young learners to explore blockchain with user‐friendly tools: a method using Google Blockly and NFTs by Yun‐Cheng Tsai, Jiun‐Yu Huang, Da‐Ru Chiou

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