Infra-3DRC-FusionNet: Deep Fusion of Roadside Mounted RGB Mono Camera and Three-Dimensional Automotive Radar for Traffic User Detection by Shiva Agrawal, Savankumar Bhanderi, Gordon Elger

“…These anchors guide the prediction of 2D bounding boxes, object categories, and confidence scores. …”
Get full text

Multi-task advanced convolutional neural network for robust lymphoblastic leukemia diagnosis, classification, and segmentation by Sercan Yalcin, Zuhal Cetin Yalcin, Muhammed Yildirim, Bilal Alatas

“…The proposed framework achieved an accuracy of 0.978, precision of 0.979, recall of 0.967, F1-score of 0.973, specificity of 0.991, Cohen’s kappa of 0.979, and negative predictive value (NPV) of 0.990. These metrics significantly outperform baseline models, highlighting the MTA-CNN’s ability to accurately identify and classify ALL cases. …”
Get full text

An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

“…Existing deep learning models face challenges in generalization due to limited training samples and data heterogeneity across complex river environments. …”
Get full text

Resting‐State Electroencephalogram Complexity Is Associated With Oral Ketamine Treatment Response: A Bayesian Analysis of Lempel–Ziv Complexity and Multiscale Entropy by Jules S. Mitchell, Toomas E. Anijärv, Adem T. Can, Megan Dutton, Daniel F. Hermens, Jim Lagopoulos

“…ABSTRACT Introduction Subanesthetic doses of ketamine are a promising novel treatment for suicidality; however, the evidence for predictive biomarkers is sparse. Recently, measures of complexity, including Lempel–Ziv complexity (LZC) and multiscale entropy (MSE), have been implicated in ketamine's therapeutic action. …”
Get full text

Pharmacological potential of 3,5-dimethyl-4-(3-(5-nitrofuran-2-yl)allylidenamino)-1-alkyl-1,2,4-triazolium bromides by A. S. Hotsulia, O. I. Panasenko, T. S. Brytanova

“…A molecular docking method that uses a variety of computational algorithms to predict and analyze interactions, including determining the presence of possible binding sites, estimating binding energies, and the spatial arrangement of molecules. …”
Get full text

Public health perspectives on green efficiency through smart cities, artificial intelligence for healthcare and low carbon building materials by Jingjing Sun, Xin Guan, Siqi Yuan, Yalin Guo, Yepei Tan, Yajuan Gao

“…Additionally, the effective use of advanced technologies like convolutional neural networks (CNN) in predicting and promoting low-carbon solutions in construction is gaining attention.MethodsThis study employs a dual approach: (1) A survey of 200 respondents was conducted to gauge public perceptions and attitudes toward smart cities, AI in medicine, and low-carbon building materials. (2) A CNN model was developed and implemented to predict the performance of low-carbon building materials. …”
Get full text

Wildlife students as community scientists provide statewide detection data to help non‐invasively monitor Oklahoma bobcats by Nathan J. Proudman, Michelle L. Haynie, Victoria L. Jackson, Jerrod Davis, W. Sue Fairbanks

“…Abstract Community science projects are ideal for collecting species data at large spatial scales and can connect the public with the management and conservation of native wildlife. …”
Get full text

A global overview of marine heatwaves in a changing climate by Antonietta Capotondi, Regina R. Rodrigues, Alex Sen Gupta, Jessica A. Benthuysen, Clara Deser, Thomas L. Frölicher, Nicole S. Lovenduski, Dillon J. Amaya, Natacha Le Grix, Tongtong Xu, Juliet Hermes, Neil J. Holbrook, Cristian Martinez-Villalobos, Simona Masina, Mathew Koll Roxy, Amandine Schaeffer, Robert W. Schlegel, Kathryn E. Smith, Chunzai Wang

“…To make progress on predicting and projecting marine heatwaves and their impacts, a more complete mechanistic understanding of these extremes over the full ocean depth and at the relevant spatial and temporal scales is needed, together with models that can realistically capture the leading mechanisms at those scales. …”
Get full text

Effect of Solar Irradiation Inter-Annual Variability on PV and CSP Power Plants Production Capacity: Portugal Case-Study by Ailton M. Tavares, Ricardo Conceição, Francisco M. Lopes, Hugo G. Silva

“…The latter is attributed to the long-term upward trend of 0.0231 °C/year in annual average ambient temperature, which contributes to PV and CSP efficiency reduction. Spatial analysis of inter-annual relative variability for GHI and DNI shows a reduction in variability from the north to the south of the country, as well as for the respective power plant productions. …”
Get full text

A method for mapping hunting occurrence using publicly available, geographic variables by Conner R. Burke, M. Nils Peterson, David T. Sawyer, Christopher E. Moorman, Christopher Serenari, Krishna Pacifici

“…We describe one approach to address this challenge using spatially explicit logistic regression models that accurately predict whether each parcel of land in North Carolina, USA, was hunted using free and publicly available geographic predictors. …”
Get full text

Monitoring Anthropogenically Disturbed Parcels with Soil Erosion Dynamics Change Based on an Improved SegFormer by Zhenqiang Li, Jialin Li, Jie Li, Zhangxuan Li, Kuncheng Jiang, Yuyang Ma, Chuli Hu

“…The PR–MLP module improves feature extraction by capturing spatial contextual information, while the CSBC module enhances boundary prediction through high– and low–level semantic guidance. …”
Get full text

Ammonia Emission and Deposition in Scotland and Its Potential Environmental Impacts by M.A. Sutton, U. Dragosits, S. Hellsten, C.J. Place, A.J. Dore, Y.S. Tang, N. van Dijk, L. Love, N. Fournier, M. Vieno, K.J. Weston, R.I. Smith, M. Coyle, D. Roy, J. Hall, D. Fowler

“…A spatial model is applied here to map NH3 emissions and these estimates are applied in atmospheric dispersion and deposition models to estimate atmospheric concentrations of NH3 and NH4+, dry deposition of NH3, and wet deposition of NHx. …”
Get full text

Link Scheduling in Satellite Networks via Machine Learning Over Riemannian Manifolds by Joarder Jafor Sadique, Imtiaz Nasim, Ahmed S. Ibrahim

“…Furthermore, we introduce a separate model, the convolutional neural network (CNN) over Riemannian manifolds, which captures geometric relationships between satellites and users by extracting spatial features from the network topology across all links. …”
Get full text

Optimizing Fertilizer Use in Precision Agriculture with GIS and Remote Sensing by Fallah Mohammed Hussein, Ramadan Ghazi Mohamad, Venkatcharyulu S.

“…In the processing stage, spatial analysis is done to discover nutrient and crop health variations which lead to a fertilizer optimization model that allocates specific rates of fertilizer application. …”
Get full text

Quantifying Karenia brevis bloom severity and respiratory irritation impact along the shoreline of Southwest Florida. by Richard P Stumpf, Yizhen Li, Barbara Kirkpatrick, R Wayne Litaker, Katherine A Hubbard, Robert D Currier, Katherine Kohler Harrison, Michelle C Tomlinson

“…These findings highlighted the importance of onshore wind anomalies when predicting respiratory irritation impacts along beaches.…”
Get full text

SLGMA-UNet: Comprehensive Feature Aggregation With Context-Sensitive Attention for Medical Image Segmentation by Xinghuo Ye, Na Wang

“…This paper introduces SLGMA-UNet, an enhanced architecture that incorporates a multi-level attention system, adaptive scale processing Efficient Multi-Scale Attention (EMA), and a combined focus mechanism Spatial & Local-Global Attention (SLGA). The EMA module integrates multi-scale information, avoids channel dimensionality reduction, facilitates cross-space learning, and effectively establishes dependencies. …”
Get full text

From black strings to fundamental strings: non-uniformity and phase transitions by Jinwei Chu

“…In particular, we study the Horowitz-Polchinski effective field theory in ℝ d × S z 1 $$ {\mathbb{R}}^d\times {\mathbbm{S}}_z^1 $$ , with a reduction on the Euclidean time circle S τ 1 $$ {\mathbbm{S}}_{\tau}^1 $$ . …”
Get full text

FOV Expansion of Bioinspired Multiband Polarimetric Imagers With Convolutional Neural Networks by Yongqiang Zhao, Miaomiao Wang, Guang Yang, Jonathan Cheung-Wai Chan

“…Spectral and polarimetric contents of the light reflected from an object contain useful information on material type and surface characteristics of the object. Jointly exploiting spatial, spectral, and polarimetric information helps detect camouflage targets. …”
Get full text

Compound climate events and their role in the decay of Greece’s cultural heritage by Iason Markantonis, Theocharis Katrakazis, Diamando Vlachogiannis, Athanasios Sfetsos, Ioannis Kioutsioukis, Ioannis Karatasios

“…This study investigates the spatial and temporal distribution of these decay-inducing events across Greece, utilizing observational data and the Ensemble of five high-resolution climate simulations from EURO-CORDEX and EC-EARTH models. …”
Get full text

Functional safeguards for conservation: Identifying climate change refugia for frugivorous and nectarivorous birds in a degraded area of Colombia. by Fausto Sáenz-Jiménez, María Alejandra Parrado-Vargas, José F González-Maya, Juan Emiro Carvajal-Cogollo

“…Large frugivores from intermediate elevations, such as toucans and cracids, as well as nectarivores with extreme adaptations and specializations, are expected to experience the most severe range reductions. Distributional and altitudinal shifts will lead to spatial reorganization of communities and a reduction or complete loss of functional group richness, particularly in lowland areas. …”
Get full text