Hyperspectral Image Super-Resolution via Grouped Second-Order Spatial Features and Spectral Attention Network by Allen Patnaik, M. K. Bhuyan, Sultan Alfarhood, Mejdl Safran

“…These findings indicate an improved tradeoff between reconstruction quality and computational efficiency.…”
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Preparation of New Biofilms Suitable for Manufacturing Processes for A sustainable Environment by Noor A. Oudah, Rahab A. Al-Madany, Zena A. Mahdi, Suhad A. Hussain, Farqad A. Albaidhani, Eussur N. Alkhafaji, Rasha Alali

“…Thickness, moisture and swelling for P3HB/C and P3HB/G were significantly different; compared to P3HB/M. Yet, when comparing P3HB/C and P3HB/G, the moisture was the only markedly various. …”
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Priority-Aware Multi-Agent Deep Reinforcement Learning for Resource Scheduling in C-V2X Mode 4 Communication by Ahmed Thair Shakir, Barbara M. Masini, Nemer Radhwan Khudhair, Rosdiadee Nordin, Angela Amphawan

“…PA-MADRL allows autonomous vehicles to efficiently allocate resources despite varied congestion along with interference conditions by combining centralized training for global optimization and decentralized execution for scalable decision-making. …”
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Hybrid modeling approaches for predicting COVID-19 mortality: A comparative study across USA, France, and India by B. Uppalaiah, D. Mallikarjuna Reddy, K. Rajalakshmi, P. Vignesh, V. Govindan, Siriluk Donganont

“…The findings indicate notable disparities in prediction accuracy, with each model exhibiting both advantages and drawbacks across different epidemiological contexts. The GP-LSTM and GP-CNN hybrid models surpassed the GP-RBM model in accuracy and efficiency, especially with the datasets from France and India. …”
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Fine-Grained Extraction of Coastal Aquaculture Ponds From Remote Sensing Images Using an Edge-Supervised Multi-task Neural Network by Jian Qi, Min Ji, Fengxiang Jin, Jianran Xu, Hanyu Ji, Juan Wang

“…However, traditional image analysis techniques often struggle to efficiently extract aquaculture ponds in the complex, heterogeneous environments of coastal wetlands. …”
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Matching of Observation Footprints in the FY-3G MWRI-RM Using BGI by Ke Chen, Bowen Cai, Wei Han, Zihao Suo

“…This mismatch is typically caused by the different spatial resolutions of observed data in multiple frequency channels. …”
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Aerodynamic characteristics of circulation control airfoils with Magnus rotating cylinder by Yunlong Zhao, Chenglin Zhou, Shibo Lee, Yang Zhang, Jianfeng Zou, Yao Zheng

“…Utilizing a unified numerical modeling approach, the research systematically investigates the influence of different jet momentum coefficients (Cµ) and freestream Mach numbers (Ma) on the aerodynamic characteristics and coupled control performance of the airfoil. …”
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Active learning concerning sampling cost for enhancing AI-enabled building energy system modeling by Ao Li, Fu Xiao, Ziwei Xiao, Rui Yan, Anbang Li, Yan Lv, Bing Su

“…As collecting sufficiently representative samples can be difficult, costly, and time-consuming, a distance-based sampling cost metric is proposed to compare the efficiency of different sampling methods, considering the detrimental effects of the actively sampling process on the normal operation of building energy systems. …”
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EEG-SKDNet: A Self-Knowledge Distillation Model With Scaled Weights for Emotion Recognition From EEG Signals by Thuong Duong Thi Mai, Duc-Quang Vu, Huy Nguyen Phuong, Trung-Nghia Phung

“…While recent deep learning methods have achieved remarkable performance in this task, most approaches emphasize accuracy at the expense of computational efficiency, making them impractical for real-time applications or deployment on resource-constrained devices. …”
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RETRACTED: Mechanical, Durability, and Microstructural Evaluation of Coal Ash Incorporated Recycled Aggregate Concrete: An Application of Waste Effluents for Sustainable Constructi... by Ali Raza, Noha Saad, Khaled Mohamed Elhadi, Marc Azab, Ahmed Farouk Deifalla, Ahmed Babeker Elhag, Khawar Ali

“…The mechanical and durability efficiency of the FRAC manufactured were explored using different kinds of effluent by performing a series of tests at various ages. …”
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A design method of composite pixel-like antenna based on improved bald eagle search algorithm by WANG Yongqiang, LIU Bingqi, ZHU Bolin

“…UHF composite antennas integrate different fractal structures, striving to retain the advantages of multiple structures. …”
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Application of SHAP and Multi-Agent Approach for Short-Term Forecast of Power Consumption of Gas Industry Enterprises by Alina I. Stepanova, Alexandra I. Khalyasmaa, Pavel V. Matrenin, Stanislav A. Eroshenko

“…This article addresses the task of short-term power consumption forecasting, one of the tasks of enhancing the energy efficiency of gas industry enterprises. In order to reduce the risks of making incorrect decisions based on the results of short-term power consumption forecasts made by machine learning methods, the SHapley Additive exPlanations method was proposed. …”
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In-Season Potato Nitrogen Prediction Using Multispectral Drone Data and Machine Learning by Ehsan Chatraei Azizabadi, Mohamed El-Shetehy, Xiaodong Cheng, Ali Youssef, Nasem Badreldin

“…A field experiment was conducted in 2023 and 2024 near Carberry, Manitoba, Canada, with plots receiving different N rates from various fertilizer sources. …”
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Comparative Genomic Analysis of Two <i>Vibrio harveyi</i> Strains from <i>Larimichthys crocea</i> with Divergent Virulence Profiles by Kequan Wang, Chaozheng Zhang, Hetron Mweemba Munang’andu, Cheng Xu, Wenlong Cai, Xiaojun Yan, Zhen Tao

“…This study presents a comparative genomic analysis of two <i>V. harveyi</i> strains, N8T11 and 45T2, which exhibit differing virulence profiles. Virulence assays revealed that N8T11 caused 92% mortality in infected fish, while 45T2 resulted in 0% mortality. …”
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Optimizing droplet coalescence dynamics in microchannels: A comprehensive study using response surface methodology and machine learning algorithms by Seyed Morteza Javadpour, Erfan Kadivar, Zienab Heidary Zarneh, Ebrahim Kadivar, Mohammad Gheibi

“…Our results showcase the efficacy of these computational techniques in enhancing experimental efficiency. Through rigorous evaluation utilizing Regression Coefficient and Mean Absolute Error metrics, we ascertain the accuracy of our estimations. …”
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UFMTrack, an Under-Flow Migration Tracker enabling analysis of the entire multi-step immune cell extravasation cascade across the blood-brain barrier in microfluidic devices by Mykhailo Vladymyrov, Luca Marchetti, Sidar Aydin, Sasha GN Soldati, Adrien Mossu, Arindam Pal, Laurent Gueissaz, Akitaka Ariga, Britta Engelhardt

“…UFMTrack achieves 90% track reconstruction efficiency and allows for scaling due to the reduction of the analysis cost and by eliminating experimenter bias. …”
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Aircraft Multi-stage Altitude Prediction Under Satellite Signal Loss by Mengchan HUANG, Qiang MIAO

“…Experimental results indicated that the LTCA–TCN model exhibits good fitting capability, effectively capturing different change modalities with high flexibility and adaptability in each phase. …”
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The importance of interpretive social science to promoting renewable energy and sustainable development by Steve Connelly

“…And, finally, what might be done differently to enable the necessary changes by governments and communities?    …”
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Agriculturally Sourced Multidrug-Resistant <i>Escherichia coli</i> for Use as Control Strains by James E. Wells, Lisa M. Durso, Abasiofiok M. Ibekwe, Jonathan G. Frye, Manan Sharma, Clinton F. Williams, Md Shamimuzzaman

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Introduction by Verena Balz

“…When decentralisation and regional governance became issues in Dutch planning, regional design became expected to perform not only in discussion on spatial matters, but in political and organisational realms too. When efficiency became a major aspiration of Dutch spatial planning, the use of regional design in planning decision-making gained an efficiency rationale as well. …”
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