Enhanced Pilot Attention Monitoring: A Time-Frequency EEG Analysis Using CNN–LSTM Networks for Aviation Safety by Quynh Anh Nguyen, Nam Anh Dao, Long Nguyen

“…Finally, our dual-architecture CNN–LSTM model processes spatial patterns via CNNs while capturing temporal degradation signals via LSTMs, enabling robust classification in noisy operational environments. …”
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Spatio-Temporal Travel Speed Estimation in Mixed Traffic Conditions: A Probe Vehicle-Based Approach With Autonomous Vehicle Sensor Integration by Hyungjoo Kim, Seongeun Na, Jongho Kim, Sangsoo Lee, Jiho Yeo

“…Future research directions include integrating vehicle-to-everything (V2X) communication and machine learning models to further refine estimation accuracy and predictive capabilities in dynamic urban mobility environments.…”
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Flood Risk Forecasting: An Innovative Approach with Machine Learning and Markov Chains Using LIDAR Data by Luigi Bibbò, Giuliana Bilotta, Giuseppe M. Meduri, Emanuela Genovese, Vincenzo Barrile

“…These extreme events are often unpredictable and pose considerable challenges for spatial planning and risk management. This study explores an innovative approach that employs machine learning and Markov chains to enhance spatial planning and predict flood risk areas. …”
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Evaluating the accessibility of collective fixed-route paratransit service in developing cities: A case study of Djibouti by Moktar Ibrahim Omar, Kemal Selçuk Öğüt

“…It correlates the decrease in accessibility based on walking time with the reduction in paratransit ridership. To assess the impact of waiting time, the model compares an acceptable waiting time (5 min) with the average waiting time of the service. …”
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An Optimally Oriented Coherence Attribute Method and Its Application to Faults and Fracture Sets Detection in Carbonate Reservoirs by Shuai Chen, Shengjun Li, Qi Ma, Lu Qin, Sanyi Yuan

“…Validation using physical modeling and field seismic data confirms the method’s ability to enhance weak fault imaging. …”
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Multi-Modal Social Media Analysis via SHAP-Based Explanation: A Framework for Public Art Perception by Tianhao Guo, Zhengyang Lu, Feng Wang

“…We propose a multi-modal framework integrating visual and linguistic analysis: visual content undergoes ResNet-152 feature extraction and Qwen-7B-Chat captioning, while textual data is processed through hierarchical topic modeling and sentiment classification. Through analysis of 103,427 geo-tagged Weibo posts across thirteen administrative regions, this study employs fine-tuned Qwen-7B-Chat architecture integrated with spatial random forest modeling to decode urban-rural variations in artistic appreciation. …”
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Framework for timely perception of spatiotemporal crowd congestion risk in public spaces based on video pedestrian tracking and geographic mapping by Shaojun Liu, Ling Zhang, Junlian Ge, Weitao Li, Yi Long

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Integrating geostatistical methods and deep learning for enhanced 87Sr/86Sr isoscape Estimation: A case study in South Korea by Hyeongmok Lee, Go-Eun Kim, Woo-Jin Shin, Yuyoung Lee, Sanghee Park, Kwang-Sik Lee, Jina Jeong, Seung-Ik Park, Sungwook Choung

“…However, generating accurate and spatially continuous isoscape maps from sparse isotopic measurements remains a major challenge due to limited data availability and spatial heterogeneity. …”
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Forecasting Stock Market Volatility Using Housing Market Indicators: A Reinforcement Learning-Based Feature Selection Approach by Pourya Zareeihemat, Samira Mohamadi, Jamal Valipour, Seyed Vahid Moravvej

“…We propose a sophisticated Early Warning System (EWS) designed to forecast stock market instability by leveraging the predictive power of housing market bubbles. Current EWS methods often face significant hurdles, including model generalization, feature selection, and hyperparameter optimization challenges. …”
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Computed Tomography‐Based Habitat Analysis for Prognostic Stratification in Colorectal Liver Metastases by Chaoqun Zhou, Hao Xin, Lihua Qian, Yong Zhang, Jing Wang, Junpeng Luo

“…Compared with CRS and TBS, the habitat model demonstrated superior predictive accuracy, particularly for DFS and liver‐specific DFS, with higher time‐dependent AUC values and improved model calibration (lower IBS). …”
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Location of capture sufficiently characterises lifetime growth trajectories in a highly mobile fish by Joshua S. Barrow, Jian D. L. Yen, John D. Koehn, Brenton Zampatti, Ben Fanson, Jason D. Thiem, Zeb Tonkin, Wayne M. Koster, Gavin L. Butler, Arron Strawbridge, Steven G. Brooks, Ryan Woods, John R. Morrongiello

“…The predictive capacity of annual growth models slightly improved from the basin to the reach spatial scales (inclusive or exclusive of movement histories). …”
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Réduire le nombre de députés en France métropolitaine. Quel mode d’affectation, pour quelle représentation nationale ? by Cyrille Genre-Grandpierre, Guillaume Marrel, Mathieu Coulon

“…Simulations have pointed out that it is very difficult to attain equitable representation for both populations and territories if the current principles of political representation are maintained in the representative democracy model. In order to limit inequalities in representation, the reduction in the number of MPs must be accompanied by rule modifications to enable greater flexibility in the allocation process, in particular by preferring a regional rather than departmental allocation for MPs. …”
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Aboveground Carbon Estimation in a Mangrove Ecosystem Using UAV-Based Remote Sensing and Machine Learning by Menglei Duan, Arturo Sanchez-Azofeifa, Muhammad Abdulmajeed, David Turner, Kathleen Buckingham, Agatha Odari, Josphat Mtwana, Solomon Kipkoech, Neda Kasraee

“…Instead of plot-level metrics, which lack detailed spatial information about individual trees or areas smaller than the mapping unit, our model was developed based on tree-level metrics, using data on hundreds of trees from fewer forest inventory plots. …”
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Explaining drivers of housing prices with nonlinear hedonic regressions by Heng Wan, Pranab K. Roy Chowdhury, Jim Yoon, Parin Bhaduri, Vivek Srikrishnan, David Judi, Brent Daniel

“…We then conduct sensitivity and Partial Dependence Plot (PDP) analyses to interpret the fitted ANN model. We find that the ML model achieves higher predictive accuracy and explains 16 % more of housing price variance than a traditional linear regression model. …”
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GEOCAPABILITIES COMPETENCE OF HIGH SCHOOL GEOGRAPHY TEACHERS IN CENTRAL JAVA, INDONESIA; WHAT IS IT AND HOW DO WE ASSESS IT? by Dannis Ni'matussyahara, Sugiyanto Sugiyanto, Sarwono Sarwono

“…Integrative thinking (23.6%), 4. Spatial thinking (20.5%), 5. Exploration (29.25%). …”
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Less Is More: Brain Functional Connectivity Empowered Generalizable Intention Classification With Task-Relevant Channel Selection by Haowei Lou, Zesheng Ye, Lina Yao, Yu Zhang

“…Inevitably, the sensory electrodes on the entire scalp would collect signals irrelevant to the particular BCI task, increasing the risks of overfitting in machine learning-based predictions. While this issue is being addressed by scaling up the EEG datasets and handcrafting the complex predictive models, this also leads to increased computation costs. …”
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Arctic Sea ice decline whiplash modes in winter investigated from a Pan-Arctic viewpoint: atmospheric drivers and feedbacks by Xia Hu, Zhina Jiang, Yao Yao, Guokun Dai

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Using random forests to forecast daily extreme sea level occurrences at the Baltic Coast by K. Bellinghausen, B. Hünicke, E. Zorita

“…<p>We have designed a machine learning method to predict the occurrence of daily extreme sea level at the Baltic Sea coast with lead times of a few days. …”
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MoHiPr-TB: A Monthly Gridded Multi-Source Merged Precipitation Dataset for the Tarim Basin Based on Machine Learning by Ping Chen, Junqiang Yao, Jing Chen, Mengying Yao, Liyun Ma, Weiyi Mao, Bo Sun

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COMPARATIVE ANALYSIS OF TISSUE EXERTION OF MUCOUS MEMBRANES DURING DIFFERENT STAGES OF TENSION IN PERFORMING ON CLOTTING OPERATION by D.V. Kaplun, V.M. Skrupnik, S.O. Stavitsky

“…Moreover, there is a direct relationship between the degree of tensile of the mucous membrane and the adequate reduction of the tense state of the soft core. Various degrees of tension of the mucous membrane can be considered as a kind of model of the fiber matrix with the dynamics of changes in the biomechanical parameters of tissues. …”
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