Search for oil deposits in YuS2–3 formations of the Southern part of the Priobskoye field based on a seismogeological model using exchroma^SG technology by D. A. Kotunov, S. A. Khalilov, D. V. Romanov, S. A. Lyubimov

“…The availability of geological models for promising objects, created based on modern approaches to processing and interpretation of 3D seismic data, increases the efficiency of geological exploration and reduces the production costs. …”
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A computational framework for processing time-series of earth observation data based on discrete convolution: global-scale historical Landsat cloud-free aggregates at 30 m spatial... by Davide Consoli, Leandro Parente, Rolf Simoes, Murat Şahin, Xuemeng Tian, Martijn Witjes, Lindsey Sloat, Tomislav Hengl

“…Processing large collections of earth observation (EO) time-series, often petabyte-sized, such as NASA’s Landsat and ESA’s Sentinel missions, can be computationally prohibitive and costly. …”
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Google Location History as an Alternative Data Source for Understanding Travel Behavior in Medan, Binjai, and Deli Serdang (Mebidang), Indonesia by Arif Wismadi, Mohamad Rachmadian Narotama, Gary Haq, Steve Cinderby, Deni Prasetio Nugroho, Jan Prabowo Harmanto

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ON ONE APPROACH TO SOLVING THE TRAVELING SALESMAN PROBLEM FOR AUTONOMOUS UNMANNED AERIAL VEHICLE PLANNING OF TARGET FLIGHT PATHS by V. B. Melekhin, M. V. Khachumov

“…The rules for optimizing the terrain map with the located targets, creating a penalty matrix that considers the disturbing factors of the  unstable air environment in the planning process, and building a reference  tree for finding the minimum route for the accepted cost of flying around the targets. …”
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MSRP-TODNet: a multi-scale reinforced region wise analyser for tiny object detection by Thulasi Bikku, K. P. N. V. Satya Sree, Srinivasarao Thota, Malligunta Kiran Kumar, P. Shanmugasundaram

“…Deep Learning (DL) techniques generate feature maps to enhance detection, but conventional methods suffer from high computational costs. …”
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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…Multi-robot simultaneous localization and mapping (SLAM) plays a pivotal role by ensuring accurate mapping and localization, which are essential for the effective management of unmanned farms. …”
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Planning Amidst Uncertainty: Identifying Core CCS Infrastructure Robust to Storage Uncertainty by Daniel Olson, Sean Yaw

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Co-designed neck exercise (EPIC-Neck) vs usual exercise care for people with chronic non-specific neck pain: protocol for a randomised feasibility study with process evaluation by Jonathan Price, Alison Rushton, Natalie Ives, Kate Jolly, Priti Parmar, Colin Greaves

“…Methods This is a randomised feasibility study with process evaluation to assess the feasibility and acceptability of the EPIC-Neck programme and inform the design of a large-scale definitive trial evaluating the clinical and cost-effectiveness of the EPIC-Neck programme. …”
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A new approach for monitoring spatial and temporal changes in forest types in subtropical regions with sample migration and multi-source remote sensing data by Pengfei Zheng, Dongyang Han, Jiang Liu, Bin Xu, Panfei Fang, Shaodong Huang, Wendou Liu, Shaozhi Chen

“…Accurate and cost-effective monitoring of forest-type distribution and dynamics is crucial for managing the rich resources and complex ecosystems of subtropical regions. …”
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Research of UAV 3D path planning based on improved Dwarf mongoose algorithm with multiple strategies by Lixin Mu, Wenhui Liu, Haocheng Wang, Yu Zhang

“…In these simulations, CDMOS reduced path length by 46.0%, smoothness cost by 93.4%, and maintained a low obstacle cost, thus generating shorter, smoother, and safer flight paths. …”
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Multi-layer robotic controller for enhancing the safety of mobile robot navigation in human-centered indoor environments by Karameldeen Omer, Karameldeen Omer, Andrea Monteriù

“…This layer obviates the need for a real-time sensor mapping process, making the system more efficient and adaptable to user needs. …”
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Mamba-based super-resolution and semi-supervised YOLOv10 for freshwater mussel detection using acoustic video camera: A case study at Lake Izunuma, Japan by Fan Zhao, Decong Xu, Zhiyan Ren, Xinlei Shao, Qingyang Wu, Yongying Liu, Jiaqi Wang, Jian Song, Yijia Chen, Guochen Zhang, Yasufumi Fujimoto, Tetsuo Shimada, Katsunori Mizuno

“…This method supports sustainable and cost-effective conservation practices by enhancing underwater species detection accuracy and reducing manual labour. …”
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Spatial Prediction of Soil Continuous and Categorical Properties Using Deep Learning Approaches for Tamil Nadu, India by Thamizh Vendan Tarun Kshatriya, Ramalingam Kumaraperumal, Sellaperumal Pazhanivelan, Nivas Raj Moorthi, Dhanaraju Muthumanickam, Kaliaperumal Ragunath, Jagadeeswaran Ramasamy

“…Large-scale mapping of soil resources can be crucial and indispensable for several of the managerial applications and policy implications. …”
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Assessing heavy metal contamination in agricultural soils: a new GIS-based Probabilistic Pollution Index (PPI) – case study: Guarda Region, Portugal by Silvia Aparisi-Navarro, Maria Moncho-Santonja, Beatriz Defez, Carla Candeias, Fernando Rocha, Guillermo Peris-Fajarnés

“…Current contamination assessment methods rely on in situ sample collection, which restricts the evaluation process due to the number of samples that can be analysed and the associated costs. …”
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Methodology for Occupant Head-Neck Injury Testing in Under-Body Blast Impact Based on Virtual-Real Fusion by Xinge Si, Changan Di, Peng Peng, Cong Xu

“…A simplified dummy head–neck physical model, designed based on human biomechanical characteristics, is constructed for physical testing. A mapping test model based on 1D convolutional neural network (1D-CNN) is developed as the virtual counterpart to process physical model test data, specifically head and chest centroid accelerations, into head centroid acceleration and upper neck axial compression force matching the Hybrid III 50th numerical model. …”
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Quality and Competitiveness: A Lean Six Sigma Approach by Irina-Virginia Drăgulănescu, Delia Popescu

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Enhancing referrals to Child and Adolescent Mental Health Services: the EN-CAMHS mixed-methods study by Kathryn M Abel, Pauline Whelan, Lesley-Anne Carter, Heidi Tranter, Charlotte Stockton-Powdrell, Kerry Gutridge, Lamiece Hassan, Rachel Elvins, Julian Edbrooke-Childs

“…Add in-person aspects where this is achievable at low cost (or can provide clear cost savings). Like to haves: Develop a referral process that can adapt to local/regional variation in CAMHS/alternatives. …”
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Smart tourism economics: introducing a technology-driven competitive advantages framework by Liana-Elena Anica-Popa, Iuliana-Mădălina Petrică (Papuc), Chirața Caraiani, Camelia-Iuliana Lungu

“…The originality of this research consists of the 70 competitive advantages identified across the industry, leveraged in designing the CECoR map (Customer Experience, Costs, Revenues) and the CAdSTT framework (Competitive Advantage-driven Smart Tourism Technologies). …”
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Evidence to practice – lessons learnt in developing an implementation strategy for an online digital health intervention (Eczema Care Online) by Laura Howells, Kim S. Thomas, Miriam Santer, Ingrid Muller, Kate Greenwell, Amanda Roberts, Hywel C. Williams, Jane Harvey, Stephanie J. Lax, Natasha K. Rogers, Tracey H. Sach, Sandra Lawton, Mary Steele, Katy Sivyer, Julie Hooper, Amina Ahmed, Sylvia Wilczynska, Sinead Langan, Paul Leighton

“…Results Data was successfully mapped to the four constructs of Normalisation Process Theory, and factors and processes that encourage implementation identified. …”
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Multi-Objective Optimization of Steel Pipe Pile Cofferdam Construction Based on Improved Sparrow Search Algorithm by Zaolong Jiang, Chengfang Yang, Hongbo Yue

“…The model aims to minimize duration and cost while maximizing quality. Additionally, it proposes an improved sparrow search algorithm (ISSA) to solve this problem. …”
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