FORECASTING OF POTATO YIELD ESTIMATION BY SATELLITE BASED REMOTE SENSING TECHNIQUE by Mohammad Mukhlesur Rahman, Mohammad Amirul Islam, Md. Golam Mahboob, Nur Mohammad, Istiak Ahmed

“…The goal of the study was to construct a remotely sensed yield prediction model that used the high spatial resolution of Sentinel 2A and Landsat 8 satellite images to forecast potato yield one month ahead of harvest. …”
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Construction of symbiosis corridors for heritage resources and optimization of conservation strategies in the basin: A case study of the Yellow River basin in Shandong, China by Ying Yu, Bin Yu, Xinwen Zhang, Lin Ma, Caijun Zhao, Yanyan Jia, Shujun Hou, Xin Han, Kun Li, Xinchuang Chen, Chuanrong Li, Bing Liu

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A Novel Lightweight Framework for Non-Contact Broiler Face Identification in Intensive Farming by Bin Gao, Yongmin Guo, Pengshen Zheng, Kaisi Yang, Changxi Chen

“…Experimental evaluations on a self-constructed dataset demonstrate that YOLO-IFSC achieves a mAP@0.5 of 91.5%, alongside a 40.8% reduction in parameters and a 24.2% reduction in FLOPs compared to the baseline, with a consistent real-time inference speed of 36.6 FPS. …”
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Synchronized Multi-Laser Powder Bed Fusion (M-LPBF) Additive Manufacturing: A Technique for Controlling the Microstructure of Ti–6Al–4V by Hamed Attariani, Shayna Renay Petitjean, Aaron Michael Niekamp

“…An anisotropic heat transfer model is employed to obtain the temporal/spatial temperature distributions and construct the solidification map for various process parameters, i.e., laser power, scanning speed, and the internal distance among lasers in the array. …”
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A fault diagnosis method for inter-turn short circuit based on magnetic field distribution by Bowen Wang, Lulu Wang

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FlyLimbTracker: An active contour based approach for leg segment tracking in unmarked, freely behaving Drosophila. by Virginie Uhlmann, Pavan Ramdya, Ricard Delgado-Gonzalo, Richard Benton, Michael Unser

“…We show that this approach yields a more than 6-fold reduction in user intervention when compared with fully manual annotation and can be used to annotate videos with low spatial or temporal resolution for a variety of locomotor and grooming behaviors. …”
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Assessment of the Performance of SWOT for Observing the Static Ocean Topography by Bjarke Nilsson, Ole Baltazar Andersen, Per Knudsen

“…We observe a 50% reduction in variability of the static surface compared with Sentinel‐3, whilst resolving up to 36% shorter wavelengths (down to ∼8 km) compared to the current state‐of‐the‐art Hybrid23 MSS reference model. …”
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Influence of geometry heterogeneity on Liesegang patterns in rocks by Chong Liu, Klaus Regenauer-Lieb, Manman Hu

“…We demonstrate that the spatial distribution of reactive fluids and the shape of nucleation zones play critical roles in determining the final pattern morphology. …”
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Single Vector Hydrophone DOA Estimation: Leveraging Deep Learning with CNN-CBAM by Fanyu ZENG, Yaning HAN, Hongyuan YANG, Dapeng YANG, Fan ZHENG

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An Assessment of the Map-Style Influence on Generalization with CycleGAN: Taking Line Features as an Example by Heng Yu, Haoxuan Chen, Ling Zhang

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Federated Knowledge Distillation With 3D Transformer Adaptation for Weakly Labeled Multi-Organ Medical Image Segmentation by Tareq Mahmod AlZubi, Hamza Mukhtar

“…To address these challenges, we propose the Federated 3D Knowledge Distillation Network (Fed3D-KDNet), a hybrid federated learning (FL) framework that integrates both global and local knowledge distillation mechanisms. Our model adapts the Segment Anything Model (SAM) for volumetric medical imaging by introducing architectural enhancements, including 3D spatial feature adapters and an Auto Prompt Generator (APG), to optimize spatial representation and reduce reliance on manually crafted prompts. …”
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Deployment and Operation of Battery Swapping Stations for Electric Two-Wheelers Based on Machine Learning by Yu Feng, Xiaochun Lu

“…Then, on a 3000 m grid scale, a prediction model of BSS quantity with random forest, support vector regression, and gradient-boosting decision tree algorithm was built. …”
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Enhancing 3D A* path planning of intelligent bridge crane based on energy efficiency criteria by Heng YANG, Yue LI, Min LIU, Qing DONG

“…Finally, considering the spatial arrangement and operation of the bridge crane in a factory building as an example, environment modeling is conducted on the MATLAB platform, the virtual obstacle is built at the same scale, the operation scheme of the bridge crane lifting the weight at different heights is conducted, and the multi-scheme path planning is conducted before and after the improvement of the algorithm. …”
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Losartan as a mechanotherapeutic adjuvant: Remodeling the breast tumor microenvironment to improve treatment efficacy. by Mutaz Dwairy, Alaa Yehya, Feras M Mohammad, Hiba Alzoubi

“…Furthermore, tumor cell concentration decreased by 88%, reflecting the drug's dual anti-proliferative and pro-apoptotic effects. Spatial analyses revealed heterogeneity in stiffness reduction and drug response, emphasizing the importance of tumor geometry and perfusion. …”
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Comparer les tempêtessur le temps long en quantifiant les dommages : proposition d’un nouvel outil by Emmanuelle Athimon, Mohamed Maanan, Pierre Pouzet

“…By combining the estimation of the importance of the damage and the spatial framework, this method leads to a “reasoned” coding, less subjective, with reduction of the risks of over or underestimate. …”
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Airborne sound insulation performance of lightweight double leaf walls with different stud types by Hequn Min, Bo Wang, Ting Qu

“…To support performance-based design workflows, this paper presents an analytical model based on sound transmission path decoupling, enabling architects to quickly predict the STL of commonly used lightweight double leaf wall types, including wooden, steel, and acoustical stud constructions. …”
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Estimation of Vehicle Dynamic Response from Track Irregularity Using Deep Learning Techniques by Fei Yang, Xiaoli Hao, Hang Zhang, Jie Jiang, Zhixing Fan, Zilong Wei

“…This paper proposes a deep learning model to predict vehicle responses (e.g., vertical wheel-rail forces, wheel unloading rate, and car body vertical acceleration) using deep learning techniques. …”
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Soil Carbon Remote Sensing: A Meta-Analysis and Systematic Review of Published Results from 1969–2022 by Savannah L. McGuirk, Iver H. Cairns

“…There is no other evidence to suggest that prediction models prepared with multispectral data perform worse than other models, however. …”
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Numerical Study of Electric Field Enhancement in Inverted-Pyramid Gold Arrays with Tunable Spacing by Yaumalika Arta, Iman Santoso, Hao Chang, Ying-Pin Tsai, Fu-Li Hsiao, Tsung-Shine Ko, Yang-Wei Lin

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High-Order Approximations for a Pseudoparabolic Equation of Turbulent Mass-Transfer Diffusion by Miglena N. Koleva, Lubin G. Vulkov

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