RLK-YOLOv8: multi-stage detection of strawberry fruits throughout the full growth cycle in greenhouses based on large kernel convolutions and improved YOLOv8 by Lei He, Lei He, Lei He, Dasheng Wu, Dasheng Wu, Dasheng Wu, Xinyu Zheng, Xinyu Zheng, Xinyu Zheng, Fengya Xu, Fengya Xu, Fengya Xu, Shangqin Lin, Shangqin Lin, Shangqin Lin, Siyang Wang, Siyang Wang, Siyang Wang, Fuchuan Ni, Fang Zheng

“…The proposed algorithm has demonstrated significant improvements in detection performance across various environments and scenarios.…”
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Structure-Aware Bayesian Compressive Sensing for Near-Field Source Localization Based on Sensor-Angle Distributions by Si Qin, Yimin D. Zhang, Qisong Wu, Moeness G. Amin

“…The results are then mapped back to source range and DOA estimation for source localization. …”
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Tree inventory analysis using AI and GIS in Uzbekistan: A case study from Tashkent by Sobirov Ulmas, Alikulova Feruza

“…Using high-resolution satellite imagery, we employed a Convolutional Neural Network (CNN) for initial tree detection and classification, supplemented by a Random Forest algorithm to refine classification accuracy. Tree locations were mapped on a true-color satellite image, visualized through GIS, enabling detailed analysis of spatial distribution and density across the city’s districts. …”
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CNN-Based System for Photovoltaic Potential Estimation on Rooftops in San Pedro Sula, Honduras by Cáceres-Estrada María José, Reyes-Duke Alicia María

“…A Python algorithm calculated usable roof area, number of potential solar modules, nominal capacity in DC, energy generation, and avoided greenhouse gas emissions based on the CNN detections. …”
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Spatial synchronization of river floods growing beyond the basin boundaries in Peninsular India by Kanneganti Bhargav Kumar, Shailza Sharma, Rajarshi Das Bhowmik, P. P. Mujumdar

“…The results of the study highlight strong connections of floods across space beyond the individual river basin boundaries in Peninsular India. …”
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Visual–Tactile Fusion and SAC-Based Learning for Robot Peg-in-Hole Assembly in Uncertain Environments by Jiaxian Tang, Xiaogang Yuan, Shaodong Li

“…Furthermore, we enhance the robot’s assembly skill ability by using the Soft Actor–Critic (SAC) reinforcement learning algorithm, which allows the robot to adapt its actions to dynamic environments. …”
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ACFM: Adaptive Channel Feature Matching for Pedestrian Re-Identification by Zhengcai Lu, Zhengwei Tian

“…This method adaptively aligns channel feature maps according to image content, enables accurate matching of local features across images, and mitigates the need for supplementary data. …”
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Real-time classroom student behavior detection based on improved YOLOv8s by Xiaojing Sheng, Suqiang Li, Sixian Chan

“…However, the field still faces specific challenges, primarily concerning the accuracy of identifying student behaviors within complex and variable classroom environments, as well as the real-time capabilities of detection algorithms. To address these challenges, we propose an efficient and straightforward algorithm based on the YOLO architecture. …”
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A Summary of Recent Advances in the Literature on Machine Learning Techniques for Remote Sensing of Groundwater Dependent Ecosystems (GDEs) from Space by Chantel Nthabiseng Chiloane, Timothy Dube, Mbulisi Sibanda, Tatenda Dalu, Cletah Shoko

“…Additionally, it explores different advanced ML algorithms and their applications across various GDE types. …”
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Machine Learning Modelling for Soil Moisture Retrieval from Simulated NASA-ISRO SAR (NISAR) L-Band Data by Dev Dinesh, Shashi Kumar, Sameer Saran

“…Therefore, obtaining accurate and timely information about soil moisture across large regions is crucial. Remote sensing techniques, such as microwave remote sensing, have emerged as powerful tools for monitoring and mapping soil moisture. …”
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Small traffic sign recognition method based on improved YOLOv7 by Bo Meng, Weida Shi

“…In the comparison with algorithms of a similar type, the proposed method achieved improvements of 2.61% and 2.12% in mAP@50 and mAP@50:95, respectively. …”
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Intercomparison and Validation of MIRS, MSPPS, and IMS Snow Cover Products by Jessica Chiu, Stephany Paredes-Mesa, Tarendra Lakhankar, Peter Romanov, Nir Krakauer, Reza Khanbilvardi, Ralph Ferraro

“…The older MSPPS delivers daily global maps at the spatial resolution of 45 km and utilizes mostly simple empirical algorithms to retrieve information. …”
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Skincare Recommendation System Based on Facial Skin Type with Real-Time Weather Integration by Gabrielle Sheila Sylvagno, Theresia Herlina Rochadiani

“…This study presents the development of an AI-based skincare recommendation system that integrates skin type classification using Convolutional Neural Networks (CNN) with real-time weather data via the OpenWeatherMap API. The system consists of three main components: a ResNet50-based Skin Analyzer, a Weather Analyzer using the Decision Tree algorithm, and a Product Recommendation module. …”
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Utilizing UAV and orthophoto data with bathymetric LiDAR in google earth engine for coastal cliff degradation assessment by Paweł Tysiąc, Rafał Ossowski, Łukasz Janowski, Damian Moskalewicz

“…The classifier achieved an overall accuracy of approximately 90% across all datasets. The findings indicate that DEM products in green and near-infrared wavelengths are similarly important, while reflectance maps and orthophotos suggest that red and near-infrared wavelengths play a significant role in identifying degradation. …”
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Googling for Abortion: Search Engine Mediation of Abortion Accessibility in the United States by Yelena Mejova, Tatiana Gracyk, Ronald E. Robertson

“…To answer this question, we considered the scenario of a woman searching for abortion services online, and conducted 10 abortion-related queries from 467 locations across the United States once a week for 14 weeks. …”
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Utilizing Multi-omics analysis to elucidate the role of mitochondrial gene defects in Gastric cancer progression. by Jie Chu, Hanying Song, Kemin Fu, Wei Xiao, Jiudong Jiang, Qixin Gan, Bo Deng

“…Additionally, both the ssGSEA algorithm and the CIBERSORT algorithm were utilized to evaluate changes and effects in immunological characteristics during gastric cancer pathogenesis.…”
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A forestry investigation: Exploring factors behind improved tree species classification using bark images by Gokul Kottilapurath Surendran, Deekshitha, Martin Lukac, Martin Lukac, Jozef Vybostok, Martin Mokros

“…The findings reveal that segment-specific datasets with more overlaps provide better accuracy across various algorithms. Additionally, pre-processing techniques such as scaling can enhance accuracy to a certain extent. …”
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Forage biomass estimation using UAV-based remote sensing and machine learning: A tool for assessing management practices by Biquan Zhao, Jeremy Hiller, Tala Awada, Brian Wardlow, Galen Erickson, Yeyin Shi

“…Significant DM differences were observed for three management treatments—control, feed supplement with Dry Distillers Grains Solubles (DDGS), and pasture nitrogen fertilization—with and without grazing across 2021 and 2022 growing seasons using the UAV estimated DMs (p < 0.001). …”
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Artificial intelligence in vaccine research and development: an umbrella review by Rabie Adel El Arab, May Alkhunaizi, May Alkhunaizi, Yousef N. Alhashem, Alissar Al Khatib, Munirah Bubsheet, Salwa Hassanein, Salwa Hassanein

“…Nonetheless, persistent challenges emerged—data heterogeneity, algorithmic bias, limited regulatory frameworks, and ethical concerns over transparency and equity.Discussion and implicationsThese findings illustrate AI’s transformative potential across the vaccine lifecycle but underscore that translating promise into practice demands five targeted action areas: robust data governance and multi‑omics consortia to harmonize and share high‑quality datasets; comprehensive regulatory and ethical frameworks featuring transparent model explainability, standardized performance metrics, and interdisciplinary ethics committees for ongoing oversight; the adoption of adaptive trial designs and manufacturing simulations that enable real‑time safety monitoring and in silico process modeling; AI‑enhanced public engagement strategies—such as routinely audited chatbots, real‑time sentiment dashboards, and culturally tailored messaging—to mitigate vaccine hesitancy; and a concerted focus on global equity and pandemic preparedness through capacity building, digital infrastructure expansion, routine bias audits, and sustained funding in low‑resource settings.ConclusionThis umbrella review confirms AI’s pivotal role in accelerating vaccine development, enhancing efficacy and safety, and bolstering public acceptance. …”
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Analyzing cropland fragmentation evolution and driving mechanisms in Shandong through MSPA and landscape metrics integration by Tianwei Zhang, Wei Li, Zengfeng Zhao, Meizhen Bi, Yi Zheng

“…Bivariate spatial autocorrelation (BSA), Pearson correlation coefficients and the Self-Organizing Map (SOM) algorithm are applied to examine the relationships among landscape pattern indices and spatial clustering patterns. …”
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