Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks by Kenan Honore Robacky Mbongo, Kanwal Ahmed, Orken Mamyrbayev, Guanghui Wang, Fang Zuo, Ainur Akhmediyarova, Nurzhan Mukazhanov, Assem Ayapbergenova

“…It achieved an accuracy of 98.6%, precision of 98.63%, recall of 98.6%, F1-score of 98.6%, and an ROC-AUC of 0.9994, indicating strong predictive capability even with imbalanced data. In addition to centralized training, the model was tested under cooperative, node-based learning conditions, where each node independently detects anomalies and contributes to a collective decision-making framework. …”
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Evolutionary Patterns of Collagen Fiber Arrangement and Calcification in Atherosclerosis by Chunyang Ma, Zhenzhen Jia, Shuaiyin Liu, Xiangyi Liao, Hongyan Kang, Xufeng Niu, Yubo Fan

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RT-DETR-EVD: An Emergency Vehicle Detection Method Based on Improved RT-DETR by Jun Hu, Jiahao Zheng, Wenwei Wan, Yongqi Zhou, Zhikai Huang

“…Specifically, compared to the baseline RT-DETR-r18 model, RT-DETR-EVD reduces parameter count to 14.5 M (a 27.1% reduction), lowers floating-point operations (FLOPs) to 49.5 G (a 13.2% reduction), and improves precision by 0.5%. …”
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Structure and oxygen saturation recovery of sparse photoacoustic microscopy images by deep learning by Shuyan Zhang, Jingtan Li, Lin Shen, Zhonghao Zhao, Minjun Lee, Kun Qian, Naidi Sun, Bin Hu

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Estimating comprehensive growth index for drip-irrigated spring maize in junggar basin via satellite imagery and machine learning by Mingjie Ma, Jinghua Zhao, Tingrui Yang, Feng Liu, Yingying Yuan, Shijiao Ma, Zikang Chang

“…Shapley analysis scientifically demonstrated that RDVI was the most influential factor in the SSA-RF model's CGI predictions in total stage. Additionally, the study generated field-scale CGI spatiotemporal distribution maps, revealing the temporal and spatial variation patterns of crop growth. …”
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Photon–photon chemical thermodynamics of frequency conversion processes in highly multimode systems by Huizhong Ren, Georgios G. Pyrialakos, Qi Zhong, Fan O. Wu, Mercedeh Khajavikhan, Demetrios N. Christodoulides

“…Abstract Frequency generation in highly multimode nonlinear optical systems is inherently a complex process, giving rise to an exceedingly convoluted landscape of evolution dynamics. While predicting and controlling the global conversion efficiencies in such nonlinear environments has long been considered impossible, here, we formally address this challenge even in scenarios involving a very large number of spatial modes. …”
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Analysis of Dust Storm Intensity over Baghdad City by Asmaa K. Hammoodi, Ahmed S. Hassan, Jasim H. Kadhum, Xiu-Qun Yang

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Evaluation of Solar Energy Performance in Green Buildings Using PVsyst: Focus on Panel Orientation and Efficiency by Seyed Azim Hosseini, Seyed Alireza Mansoori Al-yasin, Mohammad Gheibi, Reza Moezzi

“…Energy outputs derived from spreadsheet-based models and PVSyst simulations were compared to validate results. …”
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Beacon2Science: Enhancing STEREO/HI Beacon Data With Machine Learning for Efficient CME Tracking by J. Le Louëdec, M. Bauer, T. Amerstorfer, J. A. Davies

“…However, previous work concluded that CME arrival prediction based on beacon data could not achieve the same accuracy as with high‐resolution science data due to data gaps and lower quality. …”
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Spatio-temporally explicit reconstruction of upper range limit of trees since the LGM over the Tibetan Plateau by Jinfeng Xu, Xiaoyi Wang, Xianyong Cao, Eryuan Liang, Lin Zhang, Xiangjin Shen, Tao Wang

“…This reconstruction was developed by integrating multi-satellite-derived high-resolution map, in situ dendrochronological observation and paleoclimate dataset into a novel climate-driven predictive model. The model accounts for climate change effects, such as growing season temperatures and local climatic stressors, as well as migration time-lags. …”
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Improve the projection of East China summer precipitation with emergent constraints by Huanhuan Zhu, Zhihong Jiang, Laurent Li, Wei Li, Sheng Jiang

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Integrating unsupervised domain adaptation and SAM technologies for image semantic segmentation: a case study on building extraction from high-resolution remote sensing images by Mengyuan Yang, Rui Yang, Min Wang, Haiyan Xu, Gang Xu

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A New Measurement Method for BDS Inter-Satellite Link Based on Co-Frequency Co-Time Full Duplex System by Hao Feng, Zhuo Yang, Hong Ma, Yiwen Jiao, Tao Wu, Hongbin Ma, Qimin Chen

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ODD-Net: a hybrid deep learning architecture for image dehazing by C. S. Asha, Abu Bakr Siddiq, Razeem Akthar, M. Ragesh Rajan, Shilpa Suresh

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The Integrated Analysis of Territorial Transformations in Inland Areas of Italy: The Link between Natural, Social, and Economic Capitals Using the Ecosystem Service Approach by Davide Marino, Antonio Barone, Angelo Marucci, Silvia Pili, Margherita Palmieri

“…These findings could help governmental institutions in developing sustainable governance models, in line with spatial policies and strategies.…”
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Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

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A geospatial approach-based assessment of soil erosion impacts on the dams silting in the semi-arid region by Omar Djoukbala, Salim Djerbouai, Saeed Alqadhi, Mahmoud Hasbaia, Oussama Benselama, Hazem Ghassan Abdo, Javed Mallick

“…Focused on one of the Hodna basin’s sub-basins, the K'sob watershed (1477 km2), the assessment utilizes the Revised Universal Soil Loss Equation (RUSLE) integrated with GIS and remote sensing data to predict the spatial distribution of soil erosion. …”
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A CNN-LSTM Phase Compensation Method for Unidirectional Two-way Radio Frequency Transmission System by Jiahui Cheng, Zhengkang Wang, Yaojun Qiao, Hao Gao, Chenxia Liu, Zhuoze Zhao, Jie Zhang, Baodong Zhao, Bin Luo, Song Yu

“…The results demonstrate the CNN-LSTM model presents better prediction performance than the other eight previously proposed ML models. …”
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Integrating Geospatial Intelligence and Digital Transformation for Advancing Environmental Sustainability in Emerging EU Economies by Nicoleta Mihaela Doran, Gabriela Badareu, Marian Ilie Siminică

“…Environmental sustainability is assessed via greenhouse gas emissions and the share of renewable energy in total energy consumption, capturing critical spatial and ecological dynamics. Applying a generalized linear model, the results reveal that enhanced digital infrastructure and affordability contribute to emissions reduction, whereas increased user adoption correlates with higher energy demand and emissions. …”
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The influence of urban form on car travel following residential relocation: a current and retrospective study in Scottish urban areas by Lee Woods, Neil Ferguson

“…Spatial planning and policy continues to be used as a tool to bring about changes in travel behavior. …”
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