Predicting Urban Vitality at Regional Scales: A Deep Learning Approach to Modelling Population Density and Pedestrian Flows by Feifeng Jiang, Jun Ma

“…Applied to New York City, UVPN leverages diverse urban morphological features such as streetscape attributes and land use patterns to predict continuous vitality distributions. …”
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Agriculture et paysage des espaces périurbains algériens by Hadj Mohammed Maachou

“…The city of Oran is facing its spatial extension as well as the development of its economic activities within its rural periurban hinterland. …”
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A study of urban heat island of Banda Aceh City, Indonesia based on land use/cover changes and land surface temperature by Ashfa Achmad, Laina Hilma Sari, Ichwana Ramli

“…This article described the spatial and temporal of land surface temperature (LST) patterns in Banda Aceh City, Indonesia, in the context of urban heat island (UHI) phenomenon. …”
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A Global Attention Mechanism-Based EfficientNet Model for Road Pavement-Type Identification by Zhe-Yuan Ni, Jun-Cheng Wang

“…This enables the effective isolation of discriminative patterns, such as crack density, from complex backgrounds. …”
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Developing earth observation-based combined drought indicator to monitor agricultural drought in Ethiopia by Zerihun Chere

“…Overall, the combined agricultural drought index captured the spatial and temporal patterns of the historic drought effectively, and thus the model can be utilized to construct agricultural drought monitoring and an early warning system in Ethiopia to avert the adverse impacts of drought.…”
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Detection and Segmentation of Glioma Tumors Using an Improved Visual Geometry Group (IVGG) Deep Learning Structure by Parameswari Alagarsamy, Vinoth Kumar Kalimuthu, Bhavani Sridharan

“…Abstract Glioma brain tumors have similar textural patterns to other tumors, making their detection and segmentation a challenging process. …”
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MeshHSTGT: hierarchical spatio-temporal fusion for mesh network traffic forecasting by Sunlei Qian, Xiaorong Zhu

“…To address this, we propose MeshHSTGT, a novel hierarchical spatio-temporal framework that synergizes TimesNet for multi-periodic temporal-frequency modeling and a Channel Capacity-Weighted Graph Convolutional Network (CCW-GCN) with Temporal Encoding GRU (TE-GRU) for topology-aware spatial-temporal dependency learning. Unlike conventional serial architectures, MeshHSTGT employs a parallel feature re-extraction paradigm to independently capture domain-specific patterns, followed by a Transformer-based adaptive alignment module to dynamically fuse multi-domain features via self-attention. …”
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Time-modulated 1-bit amplitude-coded metasurface for space-frequency beam shaping by Seyed Ehsan Hosseininejad, Mohsen Khalily, Rahim Tafazolli

“…To validate the effectiveness of this approach for beam shaping, we demonstrate beam steering with low sidelobe patterns by achieving the desired effective amplitude and phase distributions. …”
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Use of Google Earth Engine in predicting future giant cane (Arundinaria gigantea (Walter) Muhl.) restoration sites by Sanjeev Sharma

“…The model identified favourable sites predominantly located near riparian zones, enabling targeted restoration efforts. Results reveal spatial patterns linked to environmental factors, such as soil texture, moisture and pH, that influence site suitability for giant cane growth. …”
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Increased Contribution of Extended Vegetation Growing Season to Boreal Terrestrial Ecosystem GPP Enhancement by Meng Yu, Yunfeng Cao, Jiaxin Tian, Boyu Ren

“…This increase was more pronounced for grass and shrub ecosystems. Spatial patterns showed that RIE increases were particularly concentrated at high latitudes, especially in northern Siberia. …”
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Singers of the high Arctic; Seasonal acoustic presence of bowhead whales (Balaena mysticetus) around Svalbard, Norway by Luca Wams, Kit M. Kovacs, Christian Lydersen, Ulf Lindstrøm, Dag Tollefsen, Heidi Ahonen

“…The results were subsequently correlated to seasonal patterns in environmental conditions. Bowhead whale vocalizations were detected at all study sites, but there was significant variation between locations and years in acoustic presence and singing behaviour. …”
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TECTONOPHYSICAL RESEARCH AT INSTITUTE OF THE EARTH’S CRUST SB RAS: MAJOR ACHIEVEMENTS AND ACTUAL PROBLEMS by Semen I. Sherman, Konstantin Zh. Seminsky

“…Internal structures of faults are studied; stages in faulting are generally defined in terms of time; regularities of patterns of joints inside faults are described; and original methods of mapping such joints are proposed to reveal tectonic conditions of faulting.Based on seismic monitoring, new methods of quantitative assessment of relative activity rates of faults in real time are developed. …”
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Effect of EEG Electrode Numbers on Source Estimation in Motor Imagery by Mustafa Yazıcı, Mustafa Ulutaş, Mukadder Okuyan

“…This study focuses on mu band signals, which are sensitive to motor imagery-related EEG changes. Common spatial patterns are utilized as a spatiotemporal filter to extract signal components relevant to the right hand and right foot extremities. …”
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Severe Weather in Baghdad Governorate by Orass Ghani Alyssiry

“…It also examined the temporal and spatial patterns of these phenomena and assess their environmental and societal impact. …”
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Satellite Reveals the Accelerated Coastline Erosion of Sydney’s Sandy Beaches Since the 21st Century by Mohan Wang, Shiyi Zhang, Yifu Ou, Nan Xu

“…The primary factors influencing the spatial-temporal patterns of Sydney’s sandy coastline include sea level height, significant wave height, and storm events. …”
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Schedule-based analysis of airborne transmission risk in public transportation systems by Jiali Zhou, Haris N. Koutsopoulos

“…Imbalanced passenger distribution on different cars of a train increases the overall system-wide infection probability. Spatial infection rate patterns should also be considered during policymaking. …”
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Sequence to sequence architecture based on hybrid LSTM global and local encoders approach for meteorological factors forecasting by Guoqiang Sun, Yang Zhao, Xiaoyan Qi

“…Traditional models, such as Numerical Weather Prediction (NWP), often face limitations in capturing highly non-linear and chaotic weather patterns, particularly at finer temporal and spatial scales, and they require substantial computational resources. …”
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ACTUAL DISCOURE ABOUT TIPES FND DEVELOPMENT TENDENCIES NATIONAL STATE by E. G. Ponomareva

“…The article analyzes approaches to understanding patterns, problems and prospects of the development of this institution existing in modern political science. …”
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Local response to global risk: a case study of risk perception and communication on Chinese social media regarding Fukushima’s treated radioactive water discharge by Chenxi Sun, Qingliu Ren, Yuejing Ge

“…Three key findings emerge: (1) Temporal dynamics dominate public engagement, with attention peaking within two weeks post-discharge before gradually declining, while fear persists as the predominant emotion despite diminishing anger responses; (2) Coastal regions demonstrate heightened participation due to geographic proximity and seafood consumption patterns, though risk perception shows no consistent spatial gradient; (3) Socioeconomic factors - particularly education levels and seafood consumption - significantly predict communication intensity, whereas economic indicators like per capita GDP show limited influence. …”
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Bridging the gap between remotely sensed phenology and the underlying ecophysiological processes: The SWELL model by Sofia Bajocco, Carlo Ricotta, Simone Bregaglio

“…Remote sensing has become a key tool for monitoring phenological events on large spatial and temporal scales, primarily using vegetation indices like the Normalized Difference Vegetation Index (NDVI). …”
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