SFD-YOLO: A novel framework for subsidence funnels detection in China based on large-scale SAR interferograms by Jing Guo, Zhengjia Zhang, Peifeng Ma, Mengmeng Wang, Xuefei Zhang, Dongdong Li, Bing Sui

“…Experimental results demonstrate that the fully trained SFD-YOLO model achieves an mAP50 accuracy of 92.00% while maintaining high efficiency, significantly outperforming other advanced methods. …”
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High-accuracy prediction of mutations in nine genes in lung adenocarcinoma via two-stage multi-instance learning on large-scale whole-slide images by Lingyu Zhao, Na Zhao, Ruiqi Zhong, Yiru Niu, Ziyi Chang, Peng Su, Zhihui Wang, Lifang Cui, Bei Wang, Huang Chen, Xiaowen Wang, Xiangbing Kong, Baolin Du, Fei Ren, Dingrong Zhong

“…The utilization of these models presents substantial potential for markedly improving molecular testing efficiency and opening novel pathways for personalized treatment. …”
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Cost-Effective Active Laser Scanning System for Depth-Aware Deep-Learning-Based Instance Segmentation in Poultry Processing by Pouya Sohrabipour, Chaitanya Kumar Reddy Pallerla, Amirreza Davar, Siavash Mahmoudi, Philip Crandall, Wan Shou, Yu She, Dongyi Wang

“…The well-registered depth data generated were integrated with the RGB images and sent to the instance segmentation model for individual chicken detection and identification. …”
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Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses by Esra Imamoglu

“…This review examines the increasing application of artificial intelligence (AI) and/or machine learning (ML) in microalgae processes, focusing on their ability to improve production efficiency, yield, and process control. AI/ML technologies are used in various aspects of microalgae processes, such as real-time monitoring, species identification, the optimization of growth conditions, harvesting, and the purification of bioproducts. …”
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Computational generation of tailored radionuclide libraries for alpha-particle and gamma-ray spectrometry by Jaewoong Jang

“…Progenitor-progeny recurrence relations were modeled to enable recursive computation of radionuclide subsets. …”
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A Low Computational Cost Deep Learning Approach for Localization and Classification of Diseases and Pests in Coffee Leaves by Clecio Elias Silva E. Silva, Jonatan Borges Fragoso, Thuanne Paixao, Ana Beatriz Alvarez, Facundo Palomino-Quispe

“…In this context, deep learning presents itself as a promising solution for the automatic identification of plant diseases, reducing dependence on human inspection and increasing efficiency in crop management. …”
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Enhancing drone-based fire detection with flame-specific attention and optimized feature fusion by Qiang Wang, Shiyu Guan, Shuchang Lyu, Guangliang Cheng

“…To address these issues, we propose a Flame-Specific Attention (FSA) mechanism, which integrates heat conduction principles and flame shape features to enhance receptive field expansion while maintaining computational efficiency. Furthermore, the Neck of the model is optimized with a Focal Modulation module to improve feature fusion, and a variable multi-attention detection head is introduced to refine detection precision. …”
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Rapid Path Planning Algorithm for Percutaneous Rigid Needle Biopsy Based on Optical Illumination Principles by Jian Liu, Shuai Kang, Juan Ren, Dongxia Zhang, Bing Niu, Kai Xu

“…Traditional methods relying on clinician expertise or slow algorithms struggle with complex anatomical modeling for structures such as blood vessels. We introduce a novel method that reframes trajectory planning as an optimal puncture site identification problem by leveraging optical principles and computer rendering. …”
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Multimodal malware classification using proposed ensemble deep neural network framework by Sadia Nazim, Muhammad Mansoor Alam, Safdar Rizvi, Jawahir Che Mustapha, Syed Shujaa Hussain, Mazliham Mohd Su’ud

“…The experimental outcomes demonstrate that multimodal analysis may efficiently increase the identification strength and accuracy, especially when majority vote and bagging are employed for late fusion.…”
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A New Approach Based on Metaheuristic Optimization Using Chaotic Functional Connectivity Matrices and Fractal Dimension Analysis for AI-Driven Detection of Orthodontic Growth and D... by Orhan Cicek, Yusuf Bahri Özçelik, Aytaç Altan

“…Accurate identification of growth and development stages is critical for orthodontic diagnosis, treatment planning, and post-treatment retention. …”
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Research Progress on Tomato Leaf Color Mutants by Yingxue HU, Weijie XU, Chao GONG, Baojuan SUN, Zhou HENG, Yuyang ZHANG, Tao LI

“…Leaf is a nutrient organ for plant development, and the leaf color affects the efficiency of photosynthesis and respiration, which is closely related to tomato fruit yield. …”
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Leveraging automated time-lapse microscopy coupled with deep learning to automate colony forming assay by Anusha Klett, Anusha Klett, Dennis Raith, Dennis Raith, Paula Silvestrini, Paula Silvestrini, Paula Silvestrini, Matías Stingl, Jonas Bermeitinger, Avani Sapre, Avani Sapre, Avani Sapre, Martin Condor, Roman Melachrinos, Mira Kusterer, Alexandra Brand, Guido Pisani, Guido Pisani, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Evelyn Ullrich, Marie Follo, Marie Follo, Jesús Duque-Afonso, Roland Mertelsmann, Roland Mertelsmann

“…The detection model accurately identified the majority of objects in the dataset.ResultsThis AI-assisted CFA was successfully applied for density optimization, enabling the determination of seeding densities that maximize plating efficiency (PE), and for IC50 determination, offering an efficient, less labor-intensive method for testing drug concentrations. …”
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YOLO-SSFA: A Lightweight Real-Time Infrared Detection Method for Small Targets by Yuchi Wang, Minghua Cao, Qing Yang, Yue Zhang, Zexuan Wang

“…However, complex scenes and weak signal characteristics make the identification of such targets particularly difficult. …”
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Study on Novel Surface Defect Detection Methods for Aeroengine Turbine Blades Based on the LFD-YOLO Framework by Wei Deng, Guixiong Liu, Jun Meng

“…This study proposes a novel defect detection method to address the low accuracy and insufficient efficiency encountered during surface defect detection on aeroengine turbine blades (ATBs). …”
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P²ESA: Privacy-Preserving Environmental Sensor-Based Authentication by Andraž Krašovec, Gianmarco Baldini, Veljko Pejović

“…Our experiments, conducted on two multimodal IoT datasets, show that P²ESA can be efficiently deployed and trained, and with user identification rates of between 75.85% and 93.31% (c.f. 6.67% baseline), can represent a promising support solution for authentication, while simultaneously fully obfuscating sensitive information.…”
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Qualitative Research in the Era of AI: A Return to Positivism or a New Paradigm? by Georgios Chatzichristos

“…To delve into these questions the study employs a Technology Acceptance Model (TAM) survey combined with semi-structured interviews, strategically targeting European researchers to explore AI’s perceived usefulness, ease of use, and implications for qualitative methodologies. …”
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Performance Management and Monitoring of Internal Audit for the Public Sector in Romania by Elena Doina Dascălu, Nicu Marcu, Ioan Hurjui

“…As concerns performance management in public institutions in Romania, The Code on managerial internal control provides a hierarchy type model, in the framework of which, the head of the public entity, which is on the first level, needs to provide for performance monitoring for each objective and activity, through the intermediary of relevant quantitative and qualitative indicators, including referring to economy, efficiency, and effectiveness. …”
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Sowing, Monitoring, Detecting: A Possible Solution to Improve the Visibility of Cropmarks in Cultivated Fields by Filippo Materazzi

“…These findings suggest potential developments for refining the methodology, offering a sustainable and integrative model for future research.…”
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APPLICATION OF ARTIFICIAL INTELLIGENCE IN ORTHODONTIC DENTISTRY (LITERATURE REVIEW) by Yu.Ye. Lokota, Ye.Yu. Lokota, M.E. Izay, M.I. Kayla

“…Visual object recognition and object identification are the main areas of application of deep learning methods. …”
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STUDY OF WINES POSITIONING ON THE ROMANIAN MARKET by Alex GAVRILESCU

“…The main objective of the research is the identification of the Romanian wine brand positioning. …”
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