Advances in Federated Learning: Combining Local Preprocessing With Adaptive Uncertainty Symmetry to Reduce Irrelevant Features and Address Imbalanced Data by Zahraa Khduair Taha, Johnny Koh Siaw Paw, Yaw Chong Tak, Tiong Sieh Kiong, Kumaran Kadirgama, Foo Benedict, Tan Jian Ding, Kharudin Ali, Azher M. Abed

“…It outperforms traditional federated learning techniques in both accuracy and efficiency.…”
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Beyond Moiré with Spatial Frequency Mastery via δ‐Function Expansion Metasurface by Rongsheng Chen, Feilong Yu, Jin Chen, Rong Jin, Jie Wang, Jiuxu Wang, Xiaoshuang Chen, Wei Lu, Guanhai Li

“…Conventional methods often require trade‐offs in spatial resolution or fall short of completely eradicating unwanted frequencies, further burdened by complex post‐processing demands. In this work, a novel coherent δ‐function expansion technique implemented through an all‐silicon metasurface, affording unparalleled synergistic control over arbitrarily selected spatial frequencies via refined k‐space amplitude and phase modulations is introduced. …”
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Pore Structure Quantitative Characterization of Tight Sandstones Based on Deep Learning and Fractal Analysis by Xinglei Song, Congjun Feng, Teng Li, Qin Zhang, Jiaqi Zhou, Mengsi Sun

“…The average fractal dimensions of the small and large pore-throats are 2.16 and 2.52, respectively, indicating greater complexity in the large pore-throat structures. The SEM-derived fractal dimension (<i>D</i>_SEM) reflects the diversity of pore shapes and the complexity of the micro-scale geometries. …”
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Post-evaluation model for 500 kV substation engineering projects using the fuzzy comprehensive evaluation method by Jianquan Chen, Yi Zhuang, Shaoyong Chen, Zhongtian Zhang, Yu Zhang

“…The novelty of this paper lies in its integration of a comprehensive fuzzy evaluation model that effectively combines multiple evaluation methods, offering a new framework for post-evaluation of complex projects. By merging expert scoring with empirical data, this paper establishes a more objective and comprehensive evaluation system that meets the multidimensional assessment needs of complex projects. …”
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Unveiling practical insights of eHealth implementation in Europe: a grey literature review on legal, ethical, financial, and technological (LEFT) considerations by B. E. Bente, N. Beerlage-de Jong, R. M. Verdaasdonk, J. E. W. C. van Gemert-Pijnen

“…BackgroundThe implementation of eHealth technologies can improve healthcare efficiency, accessibility, and affordability. However, it involves complex legal, ethical, financial, and technological (LEFT) challenges that can impede success. …”
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Utilizing the Pentadehydro-Diels–Alder Reaction for Polycyclic Aromatic Compound Synthesis: Diels–Alder-Based Linker Transformation by Ying Xia, Qiaofeng Liang, Chenlong Zhu, Bingfeng Sun

“…As excellent electron-donating dienes, these linkers react with electron-deficient alkenes and alkynes, resulting in a series of highly selective cyclization products. This cascade reaction efficiently integrates the PDDA reaction with linker transformation, formally eliminating the need for permanent structural constraints. …”
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Deep Learning with Dual-Channel Feature Fusion for Epileptic EEG Signal Classification by Bingbing Yu, Mingliang Zuo, Li Sui

“…While deep learning methods have shown promise, many current models suffer from limitations such as excessive complexity, high computational demands, and insufficient generalizability. …”
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Key Nodes Identification Method in Scale-Free Network Based on Structural Holes by Weiyan Liu

“…It introduces two innovations: Dynamic multi-hop bridge detection, extending beyond the 2-hop limitation of E-Burt to quantify long-range bridging influence efficiently; and a weighted fusion model balancing coreness (via MDD) and bridging roles (via structural holes) with linear time complexity.Experiments on synthetic (Barab&#x00E1;si-Albert), social (dolphin), infrastructure(Western U.S. power grid), and collaboration (co-authorship) networks demonstrate superiority. …”
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Strong parameter hierarchy in the interstellar phosphorus chemical network by Marina Fernández-Ruz, Marina Fernández-Ruz, Izaskun Jiménez-Serra, Mario Castro, Mario Castro, Marta Ruiz-Bermejo, Jacobo Aguirre, Jacobo Aguirre

“…In this study, we introduce the Fisher Information Spectral Reduction (FISR) algorithm, a novel and computationally efficient method to reduce the complexity of such sloppy models. …”
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FEATURES OF FOREIGN INVESTMENT AT VARIOUS STAGES OF THE AGRIBUSINESS GLOBAL VALUE CHAIN by T. Nagachevska, N. Plastovets

“…Approaches to designing and implementing government investment policy that is aimed at maximizing efficiency of the agrarian sector by means of foreign capital inflows are outlined in the study.…”
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Seeing Beyond Noise: Improving Cryptocurrency Forecasting with Linear Bias Correction by Sibtain Syed, Syed Muhammad Talha, Arshad Iqbal, Naveed Ahmad, Mohammed Ali Alshara

“…The proposed methodology includes collecting cryptocurrency data and precious metal data from Coindesk and BullionVault, respectively, and then finding the optimal model input combination for each cryptocurrency by lag adjustment and correlating feature selection. Hyperparameter tuning was performed by trial-and-error technique, and an early stopping function was applied to minimize time and space complexity. …”
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Low-Resolution Quantized Precoding for Multiple-Input Multiple-Output Dual-Functional Radar–Communication Systems Used for Target Sensing by Xiang Feng, Zhongqing Zhao, Jiongshi Wang, Jian Wang, Zhanfeng Zhao, Zhiquan Zhou

“…Dual-functional radar–communication systems are extensively employed for the detection and control of unmanned aerial vehicle groups and play crucial roles in scenario monitoring. …”
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Intelligent transportation systems: A survey on modern hardware devices for the era of machine learning by Issam Damaj, Salwa K. Al Khatib, Tarek Naous, Wafic Lawand, Zainab Z. Abdelrazzak, Hussein T. Mouftah

“…To alleviate the difficulties faced in the non-trivial task of selecting suitable ML techniques and MHDs for an ITS with a specific complexity level, a performance evaluation framework is proposed. …”
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Learning Rate Tuner with Relative Adaptation (LRT-RA): Road to Sustainable Computing by Saptarshi Biswas, Sumagna Dey, Subhrapratim Nath

“…This method reduces training expenses and carbon footprint and enhances training efficiency. It demonstrates promising results in preventing premature convergence, exhibiting inherent optimization behavior, and elucidating the correlation between dataset distribution and optimal LR selection. …”
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Sustainable Hydrogen Production with Negative Carbon Emission Through Thermochemical Conversion of Biogas/Biomethane by Bin Wang, Yu Shao, Lingzhi Yang, Ke Guo, Xiao Li, Mengzhu Sun, Yong Hao

“…Additionally, the first-law energy conversion efficiency from biogas to hydrogen reaches 65.6%, which is 11 percentage points higher than that of conventional biogas reforming methods. …”
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How concerned should we be about broiler breeder fertility declines? by Cara Cash, Kolton Witherspoon, Giridhar Athrey

“…By pinpointing the causes of fertility decline and implementing effective management strategies, stakeholders can better navigate the complexities of poultry production and contribute to food security. …”
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An Integrated Neural Network-Based Traffic Congestion Prediction for Material Handling Systems of Semiconductor Manufacturing by Donghun Lee, Suhee Kim, Hoonseok Park, Haejoong Kim, Ri Choe, Younkook Kang, Jae-Yoon Jung, Kwanho Kim

“…In semiconductor manufacturing, the most important logistics management is the efficient operation of overhead hoist transports (OHTs). …”
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Thermodynamic Characteristics of the Ion-Exchange Process Involving REMs of the Light Group by Olga V. Cheremisina, Maria A. Ponomareva, Yulia A. Mashukova, Nina A. Nasonova, Maria D. Burtseva

“…Infrared spectral analysis confirmed the presence of sulfate and phosphate complexes in the resin matrix, clarifying the ion-exchange mechanisms. …”
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MINIMAL CEREBRAL DYSFUNCTION: PREVALENCE, RISK FACTORS, CLINICAL, NEUROPHYSIOLOGICAL AND NEUROPSYCHOPHYSIOLOGICAL ASPECTS by S. Y. Lavrik, S. V. Domitrak, V. V. Shprakh

“…According to the survey of 1155 children of 2-8 years attending nurseries and schools, the prevalence of minimal cerebral dysfunction (MCD) in Irkutsk was 11,3 %on average, 14 % in toddlers, 11,8 % in preschool age and 8,3 % in the early school age. Complex clinical-neurophysiological and neuropsychophysiological research was carried out in 173 children of 2-8 years with MCD. …”
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Stability Analysis of Bread Wheat (Triticum aestivum L.) Genotypes by the Genotype × Genotype-Environment Biplot by Mohsen Esmaeilzadeh Moghadam, Manoochehr Dastfal, Seyed Mahmoud Tabib Ghaffary, Seyyed Bahram Anderzian4 Anderzian, Manoochehr Sayyahfar, Khaled Miri, Shirali Koohkan, Alireza Askari Kalestani

“…The results obtained in this study demonstrate the efficiency of the GGE biplot technique for selecting high-yielding and stable varieties.…”
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