Immune microenvironment spatial landscapes of tertiary lymphoid structures in gastric cancer by Yi Xie, Haoxin Peng, Yajie Hu, Keren Jia, Jiajia Yuan, Dan Liu, Yanyan Li, Xujiao Feng, Jian Li, Xiaotian Zhang, Yu Sun, Lin Shen, Yang Chen

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EMGP-Net: A Hybrid Deep Learning Architecture for Breast Cancer Gene Expression Prediction by Oumeima Thâalbi, Moulay A. Akhloufi

“…Recent studies have used whole-slide images combined with spatial transcriptomics data to predict breast cancer gene expression. …”
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A Review on Augmented Reality in Education and Geography: State of the Art and Perspectives by Bogdan-Alexandru Rus, Ioan Valentin Sita

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Intelligent prediction method of virtual network function resource capacity for polymorphic network service slicing by Julong LAN, Di ZHU, Dan LI

“…First, the time series of data stream used for prediction is subjected to two-stage weighting processing,and then the processed time series and its dependent spatial topology information are input into the network model for spatiotemporal feature extraction. …”
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A Digital Shadow for Modeling, Studying and Preventing Urban Crime by Juan Palma-Borda, Eduardo Guzman, Maria-Victoria Belmonte

“…Our approach transforms and integrates well-known criminological theories and the expert knowledge of law enforcement agencies (LEA), policy makers, and other stakeholders under a theoretical model, which is in turn combined with real crime, spatial (cartographic) and socio-economic data into an urban model characterizing the daily behavior of citizens. …”
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USING THE SLEUTH MODEL TO SIMULATE FUTURE URBAN GROWTH IN THE GREATER EASTERN ATTICA AREA, GREECE by Stylianos Mathioulakis, Yorgos N. Photis

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USING THE SLEUTH MODEL TO SIMULATE FUTURE URBAN GROWTH IN THE GREATER EASTERN ATTICA AREA, GREECE by Stylianos Mathioulakis, Yorgos N. Photis

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Research on location method of rural basic educational facilities based on spatio-temporal coupling of multiple factors by Ziteng Liu, Ze Liu, Shichen Zhao

“…The STE model innovatively integrates three key factors – population, land, and capital – to achieve sustainable and balanced allocation of rural educational resources. …”
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Nonlinear prediction model of vehicle network traffic management based on the internet of things by Zhijie Peng, Lili Yin

“…This research presents a novel nonlinear prediction model for Internet of Things (IoT) driven vehicle network traffic management. …”
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Integrated analysis of single-cell, spatial and bulk RNA-sequencing identifies a cell-death signature for predicting the outcomes of head and neck cancer by Yue Pan, Lei Fei, Shihua Wang, Hua Chen, Changqing Jiang, Hong Li, Changsong Wang, Yao Yang, Qinggao Zhang, Yongwen Chen

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Study on load reduction and vibration control strategies for semi-submersible offshore wind turbines by Dongxiao Bai, Bing Wang, Yinsheng Li, Wancheng Wang

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Temporal and spatial evolution of agricultural carbon emissions in Fujian Province, China by Weiye LI, Zhiqiang CHEN, Zhibiao CHEN, Yuee ZENG, Wenjing HU

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Performance Evaluation of Real-Time Image-Based Heat Release Rate Prediction Model Using Deep Learning and Image Processing Methods by Joohyung Roh, Sehong Min, Minsuk Kong

“…For comparative analysis, the YOLO segmentation model was used. Furthermore, the fire diameter and flame height were determined from the spatial information of the segmented flame, and the HRR was predicted based on the correlation between flame size and HRR. …”
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Research Status and Development Direction of Formation Damage Prediction and Diagnosis Technologies by Zhe Sun, Zhangxing Chen

“…This study systematically reviews advancements in formation damage prediction and diagnostics, focusing on wellsite diagnosis, experimental methods, imaging techniques, analytical approaches, numerical modeling, and artificial intelligence applications. …”
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CNN-based salient features in HSI image semantic target prediction by Vishal Srivastava, Bhaskar Biswas

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Enhancing proximal and remote sensing of soil organic carbon: A local modelling approach guided by spectral and spatial similarities by Qi Sun, Pu Shi

“…At large scale, increasing soil heterogeneity complicates the response relationship between soil spectra and SOC, making global models ineffective for local SOC predictions. Here, we propose a local learning approach that searches spectrally and spatially similar samples for site-specific SOC predictive modelling. …”
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Effect of bin width on variogram model accuracy: a case study of teak tree volume specific to Solomon clone in Tawau, Sabah, Malaysia by Johannah Jamalul Kiram, Rossita Mohamad Yunus, Yani Japarudin, Mahadir Lapammu, Olivier Monteuuis, Doreen Kim Soh Goh

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Spatial analysis of annual precipitation of Khuzestan province; An approach of spatial regressions analysis by Saeed balyani

“…In this research, for determine of precipitation model and predicting of it with geographical factors e.g. altitude, slope and view shade and latitude- longitude by using spatial regressions analysis such as ordinary least squares (OLS) and geographical weighted regressions(GWR), 13 synoptic stations of Khuzestan province from establishment to 2010 were used. …”
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Evaluating Remote Sensing Resolutions and Machine Learning Methods for Biomass Yield Prediction in Northern Great Plains Pastures by Srinivasagan N. Subhashree, C. Igathinathane, John Hendrickson, David Archer, Mark Liebig, Jonathan Halvorson, Scott Kronberg, David Toledo, Kevin Sedivec

“…The developed methodology of RFE for feature selection and RF for biomass yield modeling is recommended for biomass and hay forage yield prediction.…”
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Enhancing Spatial Ability Assessment: Integrating Problem-Solving Strategies in Object Assembly Tasks Using Multimodal Joint-Hierarchical Cognitive Diagnosis Modeling by Jujia Li, Kaiwen Man, Joni M. Lakin

“…The MJ-DINA model consists of three sub-models: a Deterministic Inputs, Noisy “and” Gate (DINA) model for estimating spatial ability, a lognormal RT model for response time, and a Bayesian Negative Binomial (BNF) model for fixation counts. …”
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