A Novel Remote Sensing Recognition Using Modified GMM Segmentation and DenseNet by Muhammad Waqas Ahmed, Moneerah Alotaibi, Sultan Refa Alotaibi, Dina Abdulaziz Alhammadi, Asaad Algarni, Ahmad Jalal, Jeongho Cho

“…The accurate classification of aerial images is a crucial task in remote sensing, with applications ranging from land cover mapping and urban planning to disaster response and environmental monitoring. However, challenges such as limited labeled data, inherent data complexity, and high computational demands often hinder the performance of traditional methods. …”
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Capillary microfluidics for diagnostic applications: fundamentals, mechanisms, and capillarics by Elham Khanjani, Andrea Fergola, Joan Antoni López Martínez, Simin Nazarnezhad, Simin Nazarnezhad, Jasmina Casals Terre, Simone Luigi Marasso, Simone Luigi Marasso, Behrouz Aghajanloo

“…Capillary systems offer an effective and reliable foundation for developing miniaturized diagnostic instruments, which hold significant potential across various domains, including biological research and environmental monitoring.…”
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Harmonization of RBSP and Arase Energetic Electron Measurements Utilizing ESA Radiation Monitor Data by Ingmar Sandberg, Piers Jiggens, Hugh Evans, Constantinos Papadimitriou, Sigiava Aminalragia‐Giamini, Christos Katsavrias, Alexander J. Boyd, Thomas Paul O’Brien, Nana Higashio, Takefumi Mitani, Iku Shinohara, Yoshizumi Miyoshi, Daniel Ν. Baker, Ioannis A. Daglis

“…The proposed adjustments were validated successfully using measurements from ESA Environmental Monitoring Unit (EMU) on‐board GSAT0207 and the Standard Radiation Monitor (SREM) on‐board INTEGRAL. …”
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Assessment of COVID-19 Impacts on Air Quality in Ulaanbaatar, Mongolia, Based on Terrestrial and Sentinel-5P TROPOMI Data by Gantuya Ganbat, Halim Lee, Hyun-Woo Jo, Batbayar Jadamba, Daniel Karthe

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Toward a M2M-Based Internet of Vehicles Framework for Wireless Monitoring Applications by Fei Ding, Ruoyu Su, En Tong, Dengyin Zhang, Hongbo Zhu, Mohamed Wahab Mohamed Ismail

“…The Internet of Vehicles (IoV) has become an attractive research topic in the fields of communication networks and information processing due to its wide range of potential applications, including public transportation management, road traffic predication and control, environmental monitoring, and autonomous driving. Most research analyze the IoV’s data collected by dedicated machine-to-machine (M2M)-based platforms. …”
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Research Progress in Small-Molecule Detection Using Aptamer-Based SERS Techniques by Li Zheng, Qingdan Ye, Mengmeng Wang, Fan Sun, Qiang Chen, Xiaoping Yu, Yufeng Wang, Pei Liang

“…It has been widely applied in qualitative and trace analysis across various fields, including food safety, environmental monitoring, and biomedical applications. Small molecules, such as toxins, antibiotics, and pesticides, have significant biological effects and are harmful to both human health and the environment. …”
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ViT-ISRGAN: A High-Quality Super-Resolution Reconstruction Method for Multispectral Remote Sensing Images by Yifeng Yang, Hengqian Zhao, Xiadan Huangfu, Zihan Li, Pan Wang

“…Super-resolution reconstruction of remote sensing multispectral images not only enhances the spatial resolution of these images but also preserves and improves the spectral information of multispectral data, thereby providing richer ground object information and more accurate environmental monitoring data. To improve the effectiveness of feature extraction in the generator network while maintaining model efficiency, this article proposes the vision transformer improved super-resolution generative adversarial network (ViT-ISRGAN) model. …”
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On-Demand Energy Provisioning Scheme in Large-Scale WRSNs: Survey, Opportunities, and Challenges by Gerald K. Ijemaru, Kenneth Li-Minn Ang, Jasmine Kah Phooi Seng, Augustine O. Nwajana, Phee Lep Yeoh, Emmanuel U. Oleka

“…The insights gained from this study pave the way for future innovations and contribute to the development of sustainable and self-sufficient wireless sensor networks, critical for the advancement of applications such as environmental monitoring, precision agriculture, and smart cities.…”
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An Ultra-Wide Range D-Shaped Fiber SPR Sensor with a Nanostructure of Gold–MoS₂ and Sodium for the Simultaneous Measurement of Refractive Index and Temperature by Xinglian Lu, Xiantong Yu, Jun Zhou, Min Chang, Dunke Lu

“…Refractive index (RI) and temperature (T) are both critical environmental parameters for environmental monitoring, food production, and medical testing. …”
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Exploring the Potential of Alternative Methods to Monitor the Impact of Nanomaterials on Corals Using Gorgonia ventalina as a Model Organism by Carlos Malca Reyes, Ermides Chavez Baldovino, Marielys Torres Diaz, Lisby Santiago-Pagan, Peter Feng, Claudia Ruiz-Diaz, Carlos Toledo-Hernandez, Kai Griebenow, Liz Diaz Vazquez

“…The integration of these methods offers a more robust framework for environmental monitoring, with the potential to inform conservation strategies for marine ecosystems amid growing nanoparticle use…”
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Aqueous Ammonia Sensor with Neuromorphic Detection by Kateryna Vyshniakova, Mohammad Javad Mirshojaeian Hosseini, Huiwen Bai, Masoome Fatahi, Victor Marco Rocha Malacco, Shawn S Donkin, Richard M Voyles, Robert A. Nawrocki

“…Detecting such a low ammonia concentration is critical for environmental monitoring and medical diagnosis. The digitized nature of neuromorphic signal pre‐processing makes it more resilient for signal transmission in the presence of noise and serves as a demonstration of “smart sensing.”…”
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Multi-level lag scheme significantly improves training efficiency in deep learning: a case study in air quality alert service over sub-tropical area by Benedito Chi Man Tam, Su-Kit Tang, Alberto Cardoso

“…Abstract In environmental monitoring, deep learning models are used where we can either use past observations or extrapolated values with high uncertainty as input. …”
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Spatiotemporal Distributions of Ambient Volatile Organic Compounds in China: Characteristics and Sources by Gang Wang, Na Zhao, Hanyu Zhang, Guohao Li, Gang Xin

“…Listing VOCs as a mandatory monitoring pollutant for environmental monitoring stations in China and developing accurate source apportionment methods are critical to guide policy making and for understanding of the spatiotemporal distribution of ambient VOCs.…”
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Exploring salinity induced adaptations in marine diatoms using advanced photonic techniques by Julijana Cvjetinovic, Yekaterina D. Bedoshvili, Nickolai A. Davidovich, Eugene G. Maksimov, Ekaterina S. Prikhozhdenko, Daria A. Todorenko, Daria V. Bodunova, Olga I. Davidovich, Igor S. Sergeev, Dmitry A. Gorin

“…These insights enhance understanding of the ecological implications of salinity stress on diatom communities and pave the way for future research on leveraging the unique adaptive mechanisms of microalgae for environmental monitoring and sustainable biotechnological applications.…”
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Coastal Hazard and Vulnerability Assessment in Cameroon by Mesmin Tchindjang, Philippes Mbevo Fendoung, Casimir Kamgho

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Advanced Air Quality Forecasting Using an Enhanced Temporal Attention-Driven Graph Convolutional Long Short-Term Memory Model With Seasonal-Trend Decomposition by Yuvaraja Boddu, A. Manimaran, B. Arunkumar, M. Sucharitha, J. Suresh Babu

“…The findings underscore the model’s potential as a robust tool for environmental monitoring and management, providing actionable insights for policymakers and stakeholders. …”
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End-to-End Multi-Scale Adaptive Remote Sensing Image Dehazing Network by Xinhua Wang, Botao Yuan, Haoran Dong, Qiankun Hao, Zhuang Li

“…This detailed information is crucial for applications such as Earth observation and environmental monitoring. In response to the above issues, this paper proposes an end-to-end multi-scale adaptive feature extraction method for remote sensing image dehazing (MSD-Net). …”
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Preparation and Gas-Sensitive Properties of Square–Star-Shaped Leaf-Like BiVO₄ Nanomaterials by Jin Liu, Mengdi Yang, Yuanyuan Lv, Yixin Gao, Danyang Bai, Neng Li, Haoru Guo, Anyi Wang

“…These findings indicate that square–star-shaped leaf-like BiVO₄ holds great potential in environmental monitoring and industrial safety detection, offering new insights for the development of high-performance gas sensors.…”
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Optimizing Biochar Concentration for Mitigating Nutrient Losses in Runoff: An Investigation into Soil Quality Improvement and Non-Point Source Pollution Reduction by Liqi Xing, Xiaoyin Niu, Xianwei Yin, Zhenhao Duan, Aiju Liu, Yanfei Ma, Peiling Gao

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Susceptibility modeling of hydro-morphological processes considered river topology by Nan Wang, Mingxiao Li, Hongyan Zhang, Weiming Cheng, Chao Du, Luigi Lombardo

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