LDDFSF-YOLO11: A Lightweight Insulator Defect Detection Method Focusing on Small-Sized Features by Peng Shen, Keyu Mei, Huiqiong Cao, Yongxiang Zhao, Guoqing Zhang

“…This study proposes a lightweight insulator defect detection method (LDDFSF-YOLO11) that focuses on small-sized features to efficiently detect and identify insulator defects. In the LDDFSF-YOLO11 model, a focused feature extraction module (MFFEConv) is proposed to enhance the feature extraction capability of the backbone network. …”
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An Analysis of Influential Factors in the Use of Public Bicycles in Tehran by Ehsan Faghihi, Mojtaba Rafieian

“…Therefore, according to the issues and needs raised, as well as the few studies that have been conducted in the field of investigating the efficiency and use of shared bicycles in Iran, especially in the metropolis of Tehran, the current research seeks to identify the factors affecting the use of the bicycle sharing system in Tehran in the field of urban planning and policy making, to provide guidance for city managers and operators of the shared bicycle system.Methods: In the current research, structural equation modelling (SEM) has been used to analyse latent variables, their relationships and test hypotheses according to the conceptual model of the research. …”
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Novel Thyroid Hormone Receptor-β Agonist TG68 Exerts Anti-Inflammatory, Lipid-Lowering and Anxiolytic Effects in a High-Fat Diet (HFD) Mouse Model of Obesity by Beatrice Polini, Caterina Ricardi, Francesca Di Lupo, Massimiliano Runfola, Andrea Bacci, Simona Rapposelli, Ranieri Bizzarri, Marco Scalese, Federica Saponaro, Grazia Chiellini

“…Recent advances in drug development allowed for the identification of THRβ-selective thyromimetic TG68 as a very promising lipid lowering and anti-amyloid agent. …”
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Research on intelligent video recognition method for roof water inrush signs in coal mines by Huiqing LIAN, Jia KANG, Shangxian YIN, Bin XU, Guocheng YAN, Xiangxue XIA, Baotong XU

“…Water inrush incidents constitute a component of coal mine disasters, and the accurate identification of roof water inrush signs is crucial for preventing accidents. …”
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Precise 3D geometric phenotyping and phenotype interaction network construction of maize kernels by Shuaihao Zhao, Shuaihao Zhao, Guanmin Huang, Guanmin Huang, Si Yang, Si Yang, Chuanyu Wang, Chuanyu Wang, Juan Wang, Juan Wang, Yanxin Zhao, Minxiao Duan, Ying Zhang, Ying Zhang, Xinyu Guo, Xinyu Guo

“…Accurate identification of maize kernel morphology is crucial for breeding and quality improvement. …”
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Silicon transport and its “homeostasis” in rice by Sheng Huang, Jian Feng Ma

“…In addition to these transporters, simulation by mathematical models revealed several other key factors required for efficient uptake and distribution of Si. …”
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Digital reconstruction of Barros Lima’s design for São Torcato Sanctuary, 1825 by Pedro de Azambuja Varela, João Luís Marques, Afonso de Matos Silva

“…We established a metric identification system based on regional measurement units, enabling a cohesive modelling process despite challenges posed by distorted and incomplete source material. …”
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(2, 2p + 1) minimal string and intersection theory I by A. Artemev, I. Chaban

“…This identification allows us to efficiently study correlation numbers at finite matter central charge. …”
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Multi-Function Working Mode Recognition Based on Multi-Feature Joint Learning by Lei Liu, Minghua Wu, Dongyang Cheng, Wei Wang

“…By integrating characters across multiple levels, the hybrid model effectively recognizes MFR working modes. This study used the data of the Mercury MFR for modeling and simulation, and proved through a large number of experiments that the proposed hybrid model can achieve robust and reliable identification of advanced MFR working modes even in complex electromagnetic environments.…”
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Using Generative AI to Identify Arguments in Judges’ Reasons: Accuracy and Benefits for Students by Paul Burgess, Iwan Williams, Lizhen Qu, Weiqing Wang

“…By examining the performance of two versions of popular Large Language Models – ChatGPT and Claude – across five recent High Court of Australia decisions, the study makes a preliminary assessment of the accuracy of LLM systems in replicating a skill essential for lawyers: identification of arguments and argument chains in judges’ reasons. …”
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Experimental and Theoretical Study of the Axial Distribution of Solid Phase Particles in a Fluidized Bed by A. V. Mitrofanov, V. E. Mizonov, N. S. Shpeynova, S. V. Vasilevich, N. K. Kasatkina

“…To ensure the quantitative reliability of the calculated forecasts, a parametric identification of the model was performed using known empirical dependencies to calculate the particle resistance coefficient and estimate the coefficient of their macrodiffusion. …”
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Application of Convolutional Neural Networks in Animal Husbandry: A Review by Rotimi-Williams Bello, Roseline Oluwaseun Ogundokun, Pius A. Owolawi, Etienne A. van Wyk, Chunling Tu

“…Convolutional neural networks (CNNs) and their application in animal husbandry have in-depth mathematical expressions, which usually revolve around how well they map input data such as images or video frames of animals to meaningful outputs like health status, behavior class, and identification. Likewise, computer vision and deep learning models are driven by CNNs to act intelligently in improving productivity and animal management for sustainable animal husbandry. …”
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Organization of Production and Business Processes in Value Chains Based on Applied Scenarios for the Digitalization of Enterprises by Yu. F. Telnov, A. A. Bryzgalov, D. S. Koroleva

“…The developed methods of identification, classification and construction of production and business processes based on a scenario approach to the use of digital technologies and role modeling in the processes of interaction of participants in the value chain are aimed at improving the efficiency of creating and using business models of enterprises digital transformation.…”
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Evaluating segmentation methods for UAV-Based Spoil Pile Delineation by Sureka Thiruchittampalam, Bikram Pratap Banerjee, Nancy F Glenn, Simit Raval

“…Among the diverse segmentation approaches evaluated, the morphology-based deep learning segmentation approach, Segment Anything Model (SAM), exhibited superior performance compared to other approaches. …”
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Assessing HMM and SVM for Condition-Based Monitoring and Fault Detection in HEV Electrical Machines by Riham Ginzarly, Nazih Moubayed, Ghaleb Hoblos, Hassan Kanj, Mouhammad Alakkoumi, Alaa Mawas

“…Artificial intelligence (AI) is showing high capability in the field of CBM, fault detection, and fault identification and prevention. Hence, the aim of this paper is to present two data-based fault detection approaches, which are the support vector machine (SVM) and the Hidden Markov Model (HMM). …”
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Fisheries management for food security in the Maldives by Nadhiya Abdulla, Natalia Vasylieva, Iryna Volovyk

“…The methodological basis of this study was a set of modern qualitative economic and quantitative mathematical methods including factor analyses, econometric and optimisation modelling. This approach ensured holistic research and reasonable recommendations on providing food security and maintaining efficient fisheries management compared to international experience and intrinsic aspects that determine a fish catch and consumption in the Maldives. …”
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Detection of Disease Features on Retinal OCT Scans Using RETFound by Katherine Du, Atharv Ramesh Nair, Stavan Shah, Adarsh Gadari, Sharat Chandra Vupparaboina, Sandeep Chandra Bollepalli, Shan Sutharahan, José-Alain Sahel, Soumya Jana, Jay Chhablani, Kiran Kumar Vupparaboina

“…To address this, we leveraged the RETFound model, a foundation model pretrained on 1.6 million unlabeled retinal OCT images, to automate the classification of key disease signatures on OCT. …”
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Transforming Highway Safety With Autonomous Drones and AI: A Framework for Incident Detection and Emergency Response by Muhammad Farhan, Hassan Eesaar, Afaq Ahmed, Kil To Chong, Hilal Tayara

“…Additionally, we created a dedicated accident dataset to train YOLOv11 m model for precise accident detection. At accident location the drone provides live video feeds and our YOLO model detects the incident, these high-resolution captured images after detection are analyzed by Moondream2, a Vision language model (VLM), for generating detailed textual descriptions of the scene, which are further refined by GPT 4-Turbo, large language model (LLM) for producing concise incident reports and actionable suggestions. …”
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Temporal Segment Method in Sign Word Recognition Using a Pretrained CNN-LSTM Network by Seungju Lee, Irina Polyakova

“…Experiments included a comparative analysis of different pretrained ResNet models (ResNet18, ResNet34, ResNet50, ResNet101, ResNet152), resulting in the identification of the optimal configuration. …”
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Pulsed Neutron-Neutron Plus Log Interpretation Method and Its Application in Tainan Gas Field by SHEN Fujian, LUO Na, ZHENG Hua, ZHANG Yutong, WANG Haiwen, HE Xiaojun

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