Importance of Spectral Information, Seasonality, and Topography on Land Cover Classification of Tropical Land Cover Mapping by Chansopheaktra Sovann, Stefan Olin, Ali Mansourian, Sakada Sakhoeun, Sovann Prey, Sothea Kok, Torbern Tagesson

“…Furthermore, correlation-based filtering and recursive feature elimination reduced the variable set from 65 to 19, improving model efficiency without sacrificing accuracy. Combining these variable selection methods with hyperparameter tuning optimized the classification, providing a more reliable LC product that outperforms existing LC products and proves valuable for deforestation monitoring, forest management, biodiversity conservation, and land use studies.…”
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Algorithm for Constructing the Hazard Function of the Extended Cox Model and its Application to the Prostate Cancer Patient Database by I. I. Mikulik, G. M. Zharinov, A. Yu. Kneev

“…Reducing the number of features involved should improve the efficiency of medical decisions and speed up the start of treatment.Discussion and Conclusion. …”
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Enhanced removal of refractory organic pollutants from high-salinity mining wastewater by E-peroxone process by Anni CHEN, Qiang GUO, Yanying YIN, Jingfeng LI, Yixiang BAO, Min WU, Shizuo YI, Jianbing WANG, Huijiao WANG

“…Hence, it is urgent to develop efficient technologies to remove refractory organics from high-salinity wastewater. …”
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Usability Analysis of Mobile Applications Used for Foreign Language Learning by Fatih Erdoğdu, Kübra Kırdar, Fatma Eski, Edanur Okumuş

“…The study examined the effectiveness, efficiency and user satisfaction of the selected applications. …”
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Tailored SrFeO3-δ for chemical looping dry reforming of methane by Ao Zhu, Dongfang Li, Tao Zhu, Xing Zhu

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Development of a machine learning-based surrogate model for friction prediction in textured journal bearings by Yujun Wang, Georg Jacobs, Shuo Zhang, Benjamin Klinghart, Florian König

“…Surface textures in journal bearings offer significant potential for reducing friction and enhancing energy efficiency. However, the complexity of texture configurations necessitates an accurate and efficient performance prediction model to properly design textured journal bearings. …”
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Adaptive Noise Exploration for Neural Contextual Multi-Armed Bandits by Chi Wang, Lin Shi, Junru Luo

“…Experimental results on recommendation and classification tasks show that both algorithms significantly surpass traditional linear and neural methods in computational efficiency and overall performance.…”
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Fuzzy clustering based scheduling algorithm for minimizing the tasks completion time in cloud computing environment by Nawaf R. Alharbe

“…Abstract This paper explores the complexity of project planning in a cloud computing environment and recognizes the challenges associated with distributed resources, heterogeneity, and dynamic changes in workloads. …”
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Multi-user hybrid precoding design based on QR decomposition and beam gain alignment by ZHANG Tingting, CAO Haiyan, LI Bin, JI Yangrui, LING Haikun, XU Fangmin

“…Simulation results show that the proposed algorithm has lower complexity and higher achievable sum rate and energy efficiency.…”
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Low error floor LT coding algorithm by using fixed-length node classification window by Xin SONG, Naiping CHENG, Shuyan NI, Yurong LIAO, Tuofeng LEI

“…To solve the problem of high error floor for LT codes in additive white Gaussian noise (AWGN) channels, an improved coding scheme was designed.A fixed-length classification window was used to sort out the information nodes with relatively small degrees.Then these nodes would be forced to participate in the coding process frequently, so that they could obtain sufficiently high reliability.To design the optimal parameters, firstly, the bit error rate (BER) performance of LT codes and the cause of the error floor were analyzed, and the theoretical BER lower bound was introduced as the first constraint.Secondly, the extrinsic information gain loss ratio (GLR) was designed to measure the convergence behavior of the improved LT code, and maximizing the GLR was denoted as the second constraint.Finally, the influence of different parameters on algorithm efficiency and coding complexity were analyzed, and the principle of priority selection of parameters was pointed out as the third constraint.The simulation results show that compared with the conventional LT code, the proposed algorithm can reduce the error floor by nearly three orders of magnitude.Besides, the designed LT code outperforms the existing LT codes in literature in terms of bit error rate (BER) performance.…”
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Near infrared reflectance spectroscopy-driven chemometric modeling for predicting key quality traits in lablab bean (Lablab purpureus L.) Germplasm by Simardeep Kaur, Naseeb Singh, Ernieca L. Nongbri, Mithra T, Veerendra Kumar Verma, Amit Kumar, Tanay Joshi, Jai Chand Rana, Rakesh Bhardwaj, Amritbir Riar

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CSANet: Context–Spatial Awareness Network for RGB-T Urban Scene Understanding by Ruixiang Li, Zhen Wang, Jianxin Guo, Chuanlei Zhang

“…To address these limitations, we propose CSANet (Context Spatial Awareness Network), a novel framework that effectively integrates RGB and thermal infrared (TIR) modalities. CSANet employs an efficient encoder to extract complementary local and global features, while a hierarchical fusion strategy is adopted to selectively integrate visual and semantic information. …”
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AI-Driven decision-making for personalized elderly care: a fuzzy MCDM-based framework for enhancing treatment recommendations by Abeer Aljohani

“…The expanding senior population, which requires specialised and efficient healthcare solutions, emphasises the importance of improving healthcare sustainability. …”
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Development of robust constitutive synthetic promoter using genetic resources of plant pararetroviruses by Tsheten Sherpa, Tsheten Sherpa, Nrisingha Dey

“…With the advancement of plant synthetic biology, complex genetic engineering circuits are being developed, which require more diverse genetic regulatory elements (promoters) to operate. …”
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Information-Driven Model Predictive Control With Adaptive Partitioning for Energy Optimization in Automated Electric Vehicles by Shahriar Shahram, Yaser P. Fallah

“…Our strategy reduces battery energy demand by selecting energy-efficient trajectories, balancing energy savings with ride comfort by minimizing abrupt speed and acceleration changes. …”
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A model of digital literacy development in health care academics and the digital competency plexus by Barry Matthews

“…A more developed digital literacy can not only improve the efficiency and efficacy of an academic, but also increase satisfaction in their role. …”
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Suitability for processing of carrot (Daucus carota L.) roots of different varieties by О. В. Завадська, І. М. Бобось, Т. В. Дяденко

“…The article presents summary of studying the efficiency of dry carrot production when growing in the conditions of Ukraine’s Forest-Steppe subject to a variety. …”
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Driving Risk Field and Control Strategies for Autonomous Vehicles at a Signalized Intersection by Hui Xu, Jianping Wu

“…This research contributes to improving autonomous driving against complex driving conditions for driving safety and efficiency.…”
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Characterizing changes in the rate of protein-protein dissociation upon interface mutation using hotspot energy and organization. by Rudi Agius, Mieczyslaw Torchala, Iain H Moal, Juan Fernández-Recio, Paul A Bates

“…Using specialized feature selection models we identify descriptors that are highly specific and, conversely, broadly important to predicting the effects of different classes of mutations, interface regions and complexes. …”
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The Role of Digital Transformation in Manufacturing: Discrete Event Simulation to Reshape Industrial Landscapes by Fabio De Felice, Cristina De Luca, Antonella Petrillo, Antonio Forcina, Miguel Angel Ortiz Barrios, Ilaria Baffo

“…An operational framework is proposed to drive digital transformation in manufacturing by balancing automated systems efficiency with the complexity of human activities, which include decision-making flexibility, adaptability, tacit knowledge and collaborative interaction. …”
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