Eddy Detection of Lakes in the Qinghai–Tibet Plateau Based on Optical Remote Sensing and Deep Learning by Bingxin Bai, Lixia Mu, Jie Yang, Baoxiang Huang, Chunyong Ma, Ge Chen

“…This study addresses this gap by proposing a lake eddy identification framework based on the YOLOv7 deep learning model, utilizing Landsat 8/9 satellite imagery acquired from April 2013 to December 2023. …”
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Risk of atrial fibrillation and association with other diseases: protocol of the derivation and international external validation of a prediction model using nationwide population-... by Chris P Gale, Jianhua Wu, Ramesh Nadarajah, Ronen Arbel, J Campbell Cowan, Moti Haim, Doron Zahger, Talish Razi Benita, Lior Rokach

“…For AF screening to be clinically and cost-effective, the efficiency of identification of newly diagnosed AF needs to be improved and the intervention offered may have to extend beyond oral anticoagulation for stroke prophylaxis. …”
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Accurate Sugarcane Detection and Row Fitting Using SugarRow-YOLO and Clustering-Based Spline Methods for Autonomous Agricultural Operations by Guiqing Deng, Fangyue Zhou, Huan Dong, Zhihao Xu, Yanzhou Li

“…To address this challenge, this paper proposes an improved target detection method, SugarRow-YOLO, based on the YOLOv11n model. The method aims to achieve accurate sugarcane identification and provide basic support for subsequent sugarcane row detection. …”
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Tree Species Detection and Enhancing Semantic Segmentation Using Machine Learning Models with Integrated Multispectral Channels from PlanetScope and Digital Aerial Photogrammetry i... by Arun Gyawali, Mika Aalto, Tapio Ranta

“…With three models applied to these datasets, nine machine learning models were trained and tested using 57 images (1024 × 1024 pixels) and their corresponding mask tiles. …”
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An effective microscopic image augmentation approach by Wanying Li, Linhe Yang, Guobei Peng, Guangyao Pang, Zhenming Yu, Xiaoying Zhu

“…The approach consists of two aspects: first, we design the conditionally guided microscopic image generation model (CGMIGM), which combines the denoising diffusion probabilistic models (DDPM) based conditional guidance technique to efficiently generate rare features and thus alleviate the class imbalance problem. …”
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AI-enhanced automation of building energy optimization using a hybrid stacked model and genetic algorithms: Experiments with seven machine learning techniques and a deep neural net... by Mohammad H. Mehraban, Samad ME Sepasgozar, Alireza Ghomimoghadam, Behrouz Zafari

“…Feature importance analysis revealed that occupant behaviour and infiltration play the most significant role in energy performance, surpassing structural and building envelope characteristics.This paper’s contributions lie in the workflow designed for automating selected tasks, the AI-driven optimization framework, and the robust hybrid modeling approach, offering novel tools for energy-efficient building design and retrofitting. …”
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Quality by Design and In Silico Approach in SNEDDS Development: A Comprehensive Formulation Framework by Sani Ega Priani, Taufik Muhammad Fakih, Gofarana Wilar, Anis Yohana Chaerunisaa, Iyan Sopyan

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A GIS-Based Safe System Approach for Risk Assessment in the Transportation of Dangerous Goods: A Case Study in Italian Regions by Angela Maria Tomasoni, Abdellatif Soussi, Enrico Zero, Roberto Sacile

“…This work introduces an innovative GIS-based risk assessment model that combines static and dynamic data to address various aspects of DGT, including hazard identification, accident prevention, and real-time decision support. …”
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Real-time segmentation and detection of ponticulus posticus in lateral cephalometric radiographs using YOLOv8: a step towards enhanced clinical evaluation by Mehmet Akyuz, Seyda Besnili, Guldane Magat, Murat Ceylan

“…Conclusions The proposed YOLOv8-seg model shows promising potential for improving the accuracy and efficiency of PP detection in lateral cephalometric radiographs. …”
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Factor interaction in prevention of torture Reflections based on Carver and Handley’s research (with Comment by the authors of the book and Response by the author of the paper) by Hans Draminsky Petersen

“…The pooling of data of diverse quality may hide outstanding prevention results. Identification and implementation of best practices is recommended. …”
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Maize Seed Variety Classification Based on Hyperspectral Imaging and a CNN-LSTM Learning Framework by Shuxiang Fan, Quancheng Liu, Didi Ma, Yanqiu Zhu, Liyuan Zhang, Aichen Wang, Qingzhen Zhu

“…Therefore, the model proposed in this study served as an effective tool for maize variety identification.…”
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Optimized vehicular connectivity and data exchange in a tree-structured VLC communication network based on optical codewords by Mouna Garai, Maha Sliti, Noureddine Boudriga, Manel Mrabet, Sarra Ayouni, Abdelrahman Elfikky, Ayman Boghdady, Syed Agha Hassnain Mohsan, Lassaad Ben Ammar

“…This study introduces a tree-structured communication architecture utilizing hierarchical optical codewords to enhance data routing efficiency and establish a vehicle identification system. …”
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Mangrove species classification using a proposed ensemble U-Net model and Planet satellite imagery: A case study in Ngoc Hien district, Ca Mau province, Vietnam. by Tran Dang Hung, Minh Hai Pham, Bui Thanh Huyen, Tran Hong Hanh, Pham Hong Tinh, Nguyen Thanh Bang, Tran Thanh Tung

“…The findings indicate that three out of twelve models (MobileNet, SEResNeXt-101 and Efficientnet-B7) experienced the most efficient assessment results for identifying all classes, in which the MobileNet model was the best. …”
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Drug repurposing targeting COVID-19 3CL protease using molecular docking and machine learning regression approaches by Imra Aqeel, Abdul Majid, Abdullah Albanyan, Hassan Wasfi

“…Our study provides an efficient framework to explore the potential drugs against COVID-19 and establishes the impending combination of molecular docking with machine learning approaches to accelerate the identification of potential therapeutic candidates. …”
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Enhancing Security Operations Center: Wazuh Security Event Response with Retrieval-Augmented-Generation-Driven Copilot by Ismail, Rahmat Kurnia, Farid Widyatama, Ilham Mirwansyah Wibawa, Zilmas Arjuna Brata, Ukasyah, Ghitha Afina Nelistiani, Howon Kim

“…The sophistication of cyberthreats demands more efficient and intelligent tools to support Security Operations Centers (SOCs) in managing and mitigating incidents. …”
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A predictive framework for identifying source populations of non-native marine macroalgae: Chondria tumulosa in the Pacific Ocean by James T. Fumo, Patrick K. Nichols, Taylor Ely, Peter B. Marko, Amy L. Moran, Brian S. Powell, Taylor M. Williams, Randall K. Kosaki, Celia M. Smith, Keolohilani H. Lopes Jr., Jennifer E. Smith, Heather L. Spalding, Stacy A. Krueger-Hadfield, Karla J. McDermid, Brian B. Hauk, James Morioka, Kevin O’Brien, Barbara Kennedy, Frederik Leliaert, Mutue T. Fujii, Wendy A. Nelson, Stefano G. A. Draisma, Alison R. Sherwood

“…Taxonomic ambiguities within the genus Chondria and challenges associated with sampling necessitate the development of a narrowed set of search locations and efficient search strategies to detect the species outside of PMNM. …”
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Characterization of the Power Distribution Network for Commercialized STM32s Using a Resonance Frequency Measurement Method by Marie Peyrard, Gilles Jacquemod, Nicolas Froidevaux

“…The results lead to the refinement of the die capacitance model for both cases, with a maximum relative error of less than 7%. …”
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Environmental characteristics of thermal utilization of waste with external and internal supply of thermal energy by A. V. Demin, G. V. Demina

“…When modeling gasification processes, a nonstoichiometric model was used, based on the assumption that a chemically reacting multicomponent mixture is in a state of thermodynamic and chemical equilibrium, which corresponds to the minimum value of the isobaric-isothermal potential. …”
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Motor Fault Diagnosis Under Strong Background Noise Based on Parameter-Optimized Feature Mode Decomposition and Spatial–Temporal Features Fusion by Jingcan Wang, Yiping Yuan, Fangqi Shen, Caifeng Chen

“…To address this issue, this study introduces a high-performance fault diagnosis approach for mining motors operating under strong background noise by integrating parameter-optimized feature mode decomposition (WOA-FMD) with the RepLKNet-BiGRU-Attention dual-channel model. According to the experimental results, the average accuracies of the proposed method were 97.7% and 93.38% for the noise-added CWRU bearing fault dataset and the actual operation dataset of the mine motor, respectively, which are significantly better than those of similar methods, showing that the approach in this study is superior in fault feature extraction and identification.…”
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Validación de un método de análisis para la determinación de hidrocarburos aromáticos policíclicos por cromatografía líquida de alta eficiencia en partículas PM10 Y PM2,5 Validatio... by Jorge Herrera Murillo, María del Carmen Chaves Villalobos

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