Research on Submarine Cable Buried Depth Monitoring Technology based on Brillouin Effect by WU Kun, WU Mingnian, CHEN Qingqing, WU Zhengming, XIE Shuhong, WANG Daogen, LI Songlin

“…After training and optimization, it outputs the predicted burial depth status.【Results】The proposed BPNN model can effectively capture the nonlinear relationship between the temperature change and the buried depth of the submarine cable, and obtain the relationship between the buried depth state of the submarine cable with the distance, so as to realize the prediction of the buried depth state of the submarine cable.…”
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Unraveling nonlinear effects of environment features on green view index using multiple data sources and explainable machine learning by Cai Chen, Jian Wang, Dong Li, Xiaohu Sun, Jiyong Zhang, Changjiang Yang, Bo Zhang

“…Our research results show that: (1) Within the Sixth Ring Road of Beijing, GVI shows significant spatial clustering phenomenon and positive correlation linkage, and at the same time exhibits significant spatial differences; (2) Among many environmental variables, the increase of green coverage rate has the most significant positive effect on GVI, while the increase of building density shows a strong negative correlation with GVI; (3) The performance of the GWRF model in predicting GVI is excellent and far exceeds that of comparison models.; (4) Whether it is the green coverage rate, urban built environment or socioeconomic factors, their influence on GVI shows non-linear characteristics and a certain threshold effect. …”
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A Study on the Changes of Urban System Pattern in Markazi Province by Alireza Sayyafzadeh, Mohammad Mireh, Morteza Nodeh Farahani

“…This distribution has been measured using mathematical and statistical models. Urban system is spatial visualization of political economy and land management. …”
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Reconstruction of Optical Coherence Tomography Images from Wavelength Space Using Deep Learning by Maryam Viqar, Erdem Sahin, Elena Stoykova, Violeta Madjarova

“…Furthermore, we illustrate the computational complexity reduction by harnessing the power of DL models. We believe that this work lays the framework for further innovations in the realm of OCT image reconstruction.…”
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Evaluation of Slope Stability and Landslide Prevention in a Closed Open-Pit Mine Used for Water Storage by Pengjiao Zhang, Yuan Gao, Yachao Liu, Tianhong Yang

“…To study and quantify the impact of water storage on lake slope stability after the closure of an open-pit mine, we targeted slope control measures by large-scale parallel computing methods and strength reduction theory. This was based on a three-dimensional refined numerical model to simulate the evolution of slope stability under different water storage levels and backfilling management conditions, and to quantitatively assess the risk of slope instability through the spatial distribution of stability coefficients. …”
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A recurrent multimodal sparse transformer framework for gastrointestinal disease classification by V. Sharmila, S. Geetha

“…Further, the model employs principal component analysis (PCA) for dimensionality reduction and gradient boosting machines (GBMs) for semantic conflict resolution. …”
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Object detection in motion management scenarios based on deep learning. by Baocheng Pei, Yanan Sun, Yebiao Fu, Ting Ren

“…In the ablation experiments, the reduction of each module reduces the accuracy of detection. …”
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Evaluation of flexural deformation of a lightweight fabricated GFRP emergency bridge with a novel broken-line prestressed cable system by Chenglin Liu, Feng Li, Ruijie Zhu, Ming Ni

“…The flexural deformation caused by dead load, live load, prestressing, and clearance effect, considering the axial deformation and spatial angle reduction effect of the steel wire cables, was proposed based on the flexibility method. …”
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Spatiotemporal analysis of tropospheric nitrogen dioxide hotspot over Lahore Division in Pakistan by Muhammad Zeeshan

“…Abstract This study analyzes spatial and temporal trends in tropospheric nitrogen dioxide (NO2) concentrations across the Lahore Division, Pakistan, drawing on 18 years (2007–2024) of observational data from NASA’s Ozone Monitoring Instrument (OMI) Aura satellite. …”
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Closed-Loop Transcranial Ultrasound Stimulation Based on Deep Learning Effectively Suppresses Epileptic Seizures in Mice by Na Pang, Jingyan Sun, Hailin Zhang, Rong Chen, Jiaqing Yan, Yi Yuan

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Enhanced efficacy of 3D architectural glass–ceramic scaffolds in vertical bone augmentation compared with conventional bone-block grafts of different origins by Wenjie Wang, Lingling Zheng, Wei Liu, Chunjuan Wang, Dan Chen, Liya Ai, Antonio Apicella, Chao Wang, Yubo Fan

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Combined impacts of aerosols and urbanization on a highly threatened extreme precipitation event in Beijing, China by Tai-Chen Feng, Tian-Gang Yuan, Zhi-Yuan Hu, Tie-Jun Xie, Shen Lai, Wen-Jie Dong, Jian-Ping Huang

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Winter Oilseed Rape LAI Inversion via Multi-Source UAV Fusion: A Three-Dimensional Texture and Machine Learning Approach by Zijun Tang, Junsheng Lu, Ahmed Elsayed Abdelghany, Penghai Su, Ming Jin, Siqi Li, Tao Sun, Youzhen Xiang, Zhijun Li, Fucang Zhang

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Concise and Accessible Representations for Multidimensional Datasets: Introducing a Framework Based on the nD-EVM and Kohonen Networks by Ricardo Pérez-Aguila, Ricardo Ruiz-Rodríguez

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Assessing the Quality of Urban environment using disturbance measurement method (Case study: Chadegan City) by Behshad Deihim, Mahin Nastaran

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The phenomenology of inertial kinematics in the structure of forming motor adaptations by U. A. Lukashevich, U. U. Ponomarev, U. E. Mitskevich, S. V. Gubkin, Y. A. Gavrilovich, E. A. Zhurko, A. N. Kipel

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Socio‐demographic and geographic disparities in HIV prevalence, HIV testing and treatment coverage: An analysis of 108 national household surveys in 33 African countries by Adrien Allorant, Salome Kuchukhidze, James Stannah, Yiqing Xia, Sanele S. Masuku, Gatien K. Ekanmian, Jeffrey W. Imai‐Eaton, Mathieu Maheu‐Giroux

“…Multilevel Bayesian logistic regression models assessed associations between HIV outcomes (HIV prevalence, recent HIV testing and ART coverage) and socio‐demographic characteristics (age, education, place of residence, relative wealth), geographic location (country, district) and time trends. …”
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Point Cloud Completion of Occluded Corn with a 3D Positional Gated Multilayer Perceptron and Prior Shape Encoder by Yuliang Gao, Zhen Li, Tao Liu, Bin Li, Lifeng Zhang

“…The Shape Coding PointAttN (SCPAN) algorithm is also proposed, which is based on PointAttN. The model’s structure is simplified to output sparse point clouds and minimize computational complexity, and a gated multilayer perceptron (MLP) containing 3D position coding is introduced to enhance the model’s spatial awareness. …”
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Particle size and inter-particle spacing effect on thermal performance of MHD copper nanofluid flow over dual-stretching rectangular frame: ANN-based simulations by Adil Darvesh, Fethi Mohamed Maiz, Luis Jaime Collantes Santisteban, Talha Anwar, Khalid Almutairi

“…The resulting system is solved using the bvp4c framework, while artificial neural network (ANN) is developed to train the solution data for robust predictions under varying parameter conditions. It is worth noting that the proposed ANN model yields a mean squared error (MSE) of 1.679e−10 and a regression coefficient of 1, which indicates the excellent predictive accuracy and ensures model efficacy. …”
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Assessing the declining trend in soil erodibility across China: A comparison of conventional and digital K-factor maps by Zhiyuan Tian, Yan Zhao, Longxi Cao, Yuan Zhao, Yin Liang

“…A digital K-factor map at the 250 m spatial resolution was generated by calculating the K values from soil survey points as training data and using environmental information as predictive variables. …”
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