Palsa mires of the Northern Hemisphere: environmental characteristics, degradation, and morpho-ecological state by Oona Leppiniemi

“…The main objective of this thesis is to provide a comprehensive understanding of the environmental factors influencing the occurrence and morpho-ecological state of palsa mires, and to predict future changes in palsa distribution. To achieve this, the thesis employs a multi-scale approach, integrating remote sensing data and statistical modelling across spatial scales ranging from circumpolar to local. …”
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Multi-label Text Classification by Fusing Pseudo-label Generation and Data Augmentation by WANG Shuitao, ZHANG Sijia, SUN Xufei, YANG Jingjie, BI Tiantian, ZHANG Zhenglong

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Pre- and post-COVID-19 pandemic identification of dengue hotspots and exploration of population and environmental determinants of dengue in Quezon City, Philippines by John Robert Carabeo Medina, Shin’ya Kawamura, Rie Takeuchi, Rolando V. Cruz, Johnedel Mendoza, Paul Michael R. Hernandez, Fernando B. Garcia, Ernesto R. Gregorio, Jun Kobayashi

“…The association of dengue cases with greenness, surrounding greenness, transportation network hubs, small building ratios, and population density was determined through a generalized linear model (GLM). Results revealed that incidence rates of dengue across barangays were spatially heterogeneous, and the dengue hotspots were unstable as they varied quarterly each year. …”
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A computational framework for IoT security integrating deep learning-based semantic algorithms for real-time threat response by Ripal Ranpara, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-Zahrani

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Intersectionality in residental solar adoption: Examining socio-demographics, racial diversity, geography, solar suitability, and policy in the United States by Gerald Jones, Chien-Fei Chen, Wei-An Chen, Lillian Lovingood, Xueping Li

“…The interplay of income and education significantly contributes to a higher adoption rate. …”
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Real-Time Facial Expression Recognition Based on Image Processing in Virtual Reality by Qingzhen Gong, Xuefang Liu, Yongqiang Ma

“…Hence, this paper suggests the Deep Automatic Facial Expression Recognition Model (DAFERM) for interactive virtual reality (VR) applications such as intelligent education, social networks, and virtual training. …”
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Does the Birthplace Matter for Chinese Pop Music Talents? From the Perspective of Local Cultural Capital by Chen Yifei, He Jinliao

“…Using GIS methods, such as kernel density analysis, the study visualizes the spatial clustering characteristics of Chinese pop singers and explores the factors influencing the spatial distribution of their birthplaces through a negative binomial regression model. …”
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Kinematic Adaptive Frame Recognition (KAFR): A Novel Framework for Video Segmentation via Frame Similarity and Surgical Tool Tracking by Huu Phong Nguyen, Shekhar Madhav Khairnar, Sofia Garces Palacios, Amr Al-Abbas, Melissa E. Hogg, Amer H. Zureikat, Patricio M. Polanco, Herbert J. Zeh, Ganesh Sankaranarayanan

“…Our approach follows these steps:1) Tracking phase: a YOLOv8 model is utilized to detect tools presented in the scene, 2) Similarity phase: Similarities between consecutive frames are computed by estimating variation in the spatial positions and velocities of the tools, 3) Classification phase: An X3D CNN is trained to classify segmentation. …”
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Global patterns and drivers of soil dissolved organic carbon concentrations by T. Ren, T. Ren, A. Cai

“…Machine learning techniques were employed, including 10-fold cross-validation and evaluating model performance by <span class="inline-formula"><i>R</i>²</span> and root mean square error values, to predict the relative importance of various predictors and the global distribution of soil DOC concentrations. …”
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Uncovering the risks for driver injury severities for truck-trailer and passenger car crashes at highway-railroad crossings by Mouyid Islam, Asim Alogaili

“…The estimated model for truck-trailer and passenger car crashes at railroad crossings included factors, such as spatial variables, weather conditions, ambient lighting, vehicle maneuvers over the crossing, driver age and gender, gate operation characteristics, the location of warning signs, the type of crossing warning (including gates), the stopping position of the truck-trailer on the crossing, and the release of hazardous materials by rail equipment. …”
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Using traffic data to identify land-use characteristics based on ensemble learning approaches by Jiahui Zhao, Zhibin Li, Pan Liu

“…The result averages improved 12.63%, 12.84%, 11.05%, 5.44%, 12.84% for Area Under ROC Curve (AUC), Classification Accuracy (CA), F-Measure (F1), Precision, and Recall, respectively, in classification tasks and 56.81%, 21.20%, 47.29% for Mean Squared Error (MSE), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE), respectively, in regression tasks than other models. The Random Forest model performs better in labels with high regularity, such as education, residence, and work activities. …”
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VGGBM-Net: A Novel Pixel-Based Transfer Features Engineering for Automated Coffee Bean Diseases Classification by Muhammad Shadab Alam Hashmi, Azam Mehmood Qadri, Ali Raza, Saleem Ullah, Aseel Smerat, Changgyun Kim, Muhammad Syafrudin, Norma Latif Fitriyani

“…A novel transformation of the VGG-19 model for feature engineering based on transfer learning is introduced, where spatial features extracted from coffee bean images are transformed into class prediction probabilities using LGBM. …”
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The abundance and sett ecological characteristics of the Asian badger (Meles leucurus) in the Northeast Tiger and Leopard National Park (NE China) by Jiawei Li, Dongrui Li, Yanwen Fu, Yiwen Ma, Jianping Ge, Limin Feng

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The origin and dissemination of HIV-1 subtype B on Hainan Island, South China, 2007–2024 by Chunyun Lu, Kaokao Zhu, Nengde Zhang, Mu Li, Shanmei Zhong, Cai Qin, Tong Luo, Rongjing Zhang, Jing Zhang, Yi Ning, Hao Liang, Li Ye, Bingyu Liang, Dee Yu

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Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

“…[Results and Discussions]The research findings confirmed the strong performance of the SIF reconstruction model in predicting soybean SIF. After simultaneously incorporating EVI, FPAR, and LST as explanatory variables to model, achieved a goodness of fit with an R2 value of 0.84, this statistical metric validated the model's capability in predicting SIF data, it also reflected that the reconstructed 8 d time resolution of SIF data's reliability of applying to small-scale agricultural crop photosynthesis research with 500 m×500 m spatial scale. …”
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Projections of Extreme Precipitation Changes over the Eastern Tibetan Plateau: Exploring Thermodynamic and Dynamic Contributions by Xiaojiang Liu, Xi Liu, Chengxin Li, Xiaomin Ma, Kena Chen, Zhenhong Sun, Kangning Wang, Quanliang Chen, Hongke Cai

“…Both HR and LR models successfully reproduce the spatial distribution of annual precipitation, capturing the northwest-to-southeast increasing gradient. …”
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High-resolution Annual Dynamic dataset of Curve Number from 2008 to 2021 over Conterminous United States by Qiong Wu, John J. Ramirez Avila, Jia Yang, Cunxiong Ji, Shanmin Fang

“…Abstract The spatial distribution and data quality of curve number (CN) values determine the performance of hydrological estimations. …”
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Federal Deep Learning Approach of Intrusion Detection System for In-Vehicle Communication Network Security by In-Seop Na, Anandakumar Haldorai, Nithesh Naik

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Changes in sex composition of births across regions and subgroups in India from an analysis of birth histories from National Family Health Surveys by Diwakar Mohan, Evan L. Eschliman, Anju Malhotra, Michelle R. Kaufman

“…We describe changes in the sex composition of live births across time through different phases of the PreNatal Diagnostics Technique Act by place of residence, caste, education, and wealth. Multilevel random effects logit regression models were used to estimate odds ratios and adjusted estimates for the different periods. …”
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Optimal control of interactions between invasive alien and native species in a certain time period with the r-PINN approach by Yudi Ari Adi, Danang A. Pratama, Maharani A. Bakar, Sugiyarto Surono, Suparman, Agung Budiantoro

“…The implementation of the optimal control strategy led to a clear increase in native species populations and effective suppression of invasive species across spatial and temporal domains. Overall, the r-PINN framework offers a reliable and computationally efficient tool for solving nonlinear ecological models involving spatiotemporal control of species populations.…”
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