Reflectivity Thresholds and Optical Loss Predictions in Resonant Photonic Cavities by Paulo Henrique Dias Ferreira, Douglas Ramos do Amaral, Vinicius Tribuzi, John Fredy Ricardo Marroquin, Jorlandio Francisco Felix, Filippo Ghiglieno

“…The software’s flexibility to adjust transmission parameters for different cavity configurations enhances its utility for a broad range of photonic systems. …”
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Compliant and Seamless Hybrid (Star and Mesh) Network Topology Coexistence for LoRaWAN: A Proof of Concept by Laura García, Carlos Cancimance, Rafael Asorey-Cacheda, Claudia-Liliana Zúñiga-Cañón, Antonio-Javier Garcia-Sanchez, Joan Garcia-Haro

“…Additionally, the user interface allows for customizing network topology and parameters. Experimental proof-of-concept tests were conducted on a campus-wide testbed. …”
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Deep Multi-Component Neural Network Architecture by Chafik Boulealam, Hajar Filali, Jamal Riffi, Adnane Mohamed Mahraz, Hamid Tairi

“…DMCNN dynamically prioritizes task-relevant features through a component-weighting mechanism, which calculates the importance of each component via loss functions and adjusts weights using a SoftMax function. …”
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Impact of Paddy Field Expansion on Ecosystem Services and Associated Trade-Offs and Synergies in Sanjiang Plain by Xilong Dai, Linghua Meng, Yong Li, Yunfei Yu, Deqiang Zang, Shengqi Zhang, Jia Zhou, Dan Li, Chong Luo, Yue Wang, Huanjun Liu

“…Understanding the impact of paddy field expansion on regional ecosystem services (ESs), as well as revealing the trade-offs and synergies (TOS) between these services to achieve optimal resource allocation, has become an urgent issue to address. This study employs the InVEST model to map the spatial and temporal dynamics of five key ESs, while the Optimal Parameter Geodetector (OPGD) identifies primary drivers of these changes. …”
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Secure and energy-efficient inter- and intra-cluster optimization scheme for smart cities using UAV-assisted wireless sensor networks by Niayesh Gharaei, Aliaa M. Alabdali

“…The SEI2 system incorporates UAVs to dynamically recharge sensor nodes, determining optimal charging locations within clusters to maximize energy efficiency. …”
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Resilient math inspired EDA optimized fuzzy adaptive exponent controller for LFC improvement of an EV integrated microgrid by Prakash Chandra Sahu, Buddhadeva Sahoo, Sarat Chandra Swain, Ghanshyam G. Tejani, David Bassir

“…The microgrid frequency goes on oscillating under the action of few uncertainties like dynamics in applied load, fluctuation in wind power and variability in solar power intensity. …”
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Cervical cancer in women of the Far Eastern Federal District (morbidity and mortality) by T. N. Chimitdorzhieva

“…We evaluated extensive and standardized parameters (per 100,000 population; 0/0000) calculated using the direct method (world standard). …”
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Synergizing TabNet and SHAP for PM10 Forecasting: Insights From Makkah, Saudi Arabia by Abdulrazak H. Almaliki, Afaq Khattak

“…Particulate matter (PM10) poses a serious threat to public health by increasing the risk of respiratory issues like asthma and bronchitis, as well as cardiovascular problems such as heart attacks and strokes. …”
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Accelerating Energy-Efficient Federated Learning in Cell-Free Networks With Adaptive Quantization by Afsaneh Mahmoudi, Ming Xiao, Emil Bjornson

“…Federated Learning (FL) enables clients to share model parameters instead of raw data, reducing communication overhead. …”
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A Novel Network for Choroidal Segmentation Based on Enhanced Boundary Information by Wenbo Huang, Chaofan Qu, Yang Yan

“…The attention mechanism is incorporated to dynamically highlight critical features, thus improving the model’s capacity to represent boundary details. …”
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Remote Sensing Techniques for Assessing Snow Avalanche Formation Factors and Building Hazard Monitoring Systems by Natalya Denissova, Serik Nurakynov, Olga Petrova, Daniker Chepashev, Gulzhan Daumova, Alena Yelisseyeva

“…Optical and radar imagery enable the detection of crucial parameters like snow cover, slope, and vegetation that influence avalanche risks. …”
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Advances in Machine Learning for Mechanically Ventilated Patients by Xu Y, Xue J, Deng Y, Tu L, Ding Y, Zhang Y, Yuan X, Xu K, Guo L, Gao N

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Design of Ice Tolerance Flight Envelope Protection Control System for UAV Based on LSTM Neural Network for Detecting Icing Severity by Ting Yue, Xianlong Wang, Bo Wang, Shang Tai, Hailiang Liu, Lixin Wang, Feihong Jiang

“…Finally, the ice tolerance flight envelope protection control law is developed, using a nonlinear dynamic inverse controller (NDIC) as the inner loop and a nonlinear model predictive controller (NMPC) as the outer loop. …”
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Proton Exchange Membrane Fuel Cell Stack Durability Prediction Using Arrhenius-Based Accelerated Degradation Model by Youngjin Choi, MyongHwan Kim, JiYoung Park, Youngmo Goo

“…This study presents a novel dynamic load cycling protocol designed to emulate the real-world driving conditions of commercial vehicles. …”
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Modulation instability control via evolutionarily optimized optical seeding by Sader Lynn, Boussafa Yassin, Hoang Van Thuy, Haldar Raktim, Kues Michael, Wetzel Benjamin

“…Modulation instability, a fundamental process in nonlinear fiber optics, illustrates such experimental issues due to its noise-driven nature, leading to unpredictable dynamics and thus requiring advanced control strategies. …”
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Ways to improve the efficiency of automatic control systems of pressing current collectors for railway service of high speeds by A. S. GOLUBKOV, O. A. SIDOROV, S. N. SMERDIN

“…A promising direction in addressing this issue is the use of automatic control systems, allowing to stabilize the amount of contact pressure. …”
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VMMT-Net: A Dual-Branch Parallel Network Combining Visual State Space Model and Mix Transformer for Land–Sea Segmentation of Remote Sensing Images by Jiawei Wu, Zijian Liu, Zhipeng Zhu, Chunhui Song, Xinghui Wu, Haihua Xing

“…Land–sea segmentation is a fundamental task in remote sensing image analysis, and plays a vital role in dynamic coastline monitoring. The complex morphology and blurred boundaries of coastlines in remote sensing imagery make fast and accurate segmentation challenging. …”
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Reducing locomotive maintenance costs with intelligent software by Valeria A. Butusova, Yuriy A. Davydov, Alexey S. Kushniruk, Denis Yu. Drogolov

“…The software analyzes TRS failure/breakdown data, considering reliability and cost-efficiency parameters, to recommend optimal inter-repair mileage standards. …”
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Geoinformatics and hydrogeophysical-based delineation of groundwater potential zone through surface and subsurface indicators by Usman Basharat, Wenjing Zhang, Arshad Abbasi, Sehrish Mahroof, Abrar Niaz, Shoukat Husain Khan

“…This study focuses on these issues in the Bagh region, which has distinct hydrogeological characteristics and a critical need for sustainable groundwater management. …”
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Medium-term Results of Body Balance Trainings in Primary School-Aged Children with Generalized Joint Hypermobility and Symptomatic Mobile Flat Foot: Cohort Study by Alena Yu. Dimitrieva, Vladimir M. Kenis

“…Mobile flat foot etiology and its correlations with postural imbalance remain topical issues for now, especially in children with generalized joint hypermobility. …”
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