A Unified Framework for Super-Resolution via Clean Image Prior by Songju Na, Yoonchan Nam, Suk-Ju Kang

“…Specifically, we introduce the clean feature extraction (CFE) module that generates clean image features from degraded inputs. …”
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A simple monocular depth estimation network for balancing complexity and accuracy by Xuanxuan Liu, Shuai Tang, Mengdie Feng, Xueqi Guo, Yanru Zhang, Yan Wang

“…To tackle this challenge, we propose a novel and simple depth estimation model called SimMDE, which treats monocular depth estimation as an ordinal regression problem. Beginning with a baseline encoder, our model is equipped with a Deformable Cross-Attention Feature Fusion (DCF) decoder with sparse attention. …”
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A Remote Sensing Semantic Self-Supervised Segmentation Model Integrating Local Sensitivity and Global Invariance by Buxun Zhang, Xiaoyan Guo, Sen Yang

“…To mitigate the problem of small object loss during masking operations, a portion of the original pixels is retained. …”
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Dual-Branch Multi-Dimensional Attention Mechanism for Joint Facial Expression Detection and Classification by Cheng Peng, Bohao Li, Kun Zou, Bowen Zhang, Genan Dai, Ah Chung Tsoi

“…The combination of these two paths, together with two skip connections from the input to the batch attention to the output of the adaptive channel attention, then passes into a residual network, with neighborhood attention to extract fine features in the spatial dimension. This novel dual path architecture has been shown experimentally to achieve a better balance between the competing demands in an SDAC problem than other competing approaches. …”
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Electricity Theft Detection Using Rule-Based Machine Leaning (rML) Approach by Sheyda Bahrami, Erol Yumuk, Alper Kerem, Beytullah Topçu, Ahmetcan Kaya

“…With an astounding 93% recall rate for the rule-based feature space combination of the random forest classifier, this novel approach has produced outstanding results. …”
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An enhanced integrated fuzzy logic-based deep learning techniques (EIFL-DL) for the recommendation system on industrial applications by Yasir Rafique, Jue Wu, Abdul Wahab Muzaffar, Bilal Rafique

“…The proposed framework consists of three main stages: data preprocessing, feature extraction, and recommendation generation. …”
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Beyond conventional vision: RGB-event fusion for robust object detection in dynamic traffic scenarios by Zhanwen Liu, Yujing Sun, Yang Wang, Nan Yang, Shengbo Eben Li, Xiangmo Zhao

“…To address this problem, we introduce a bio-inspired event camera integrated with an RGB camera to complement high dynamic range information, and propose a motion cue fusion network (MCFNet), an innovative fusion network that optimally achieves spatiotemporal alignment and develops an adaptive strategy for cross-modal feature fusion, to overcome performance degradation under challenging lighting conditions. …”
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Multi‐stage attention network for monaural speech enhancement by Kunpeng Wang, Wenjing Lu, Peng Liu, Juan Yao, Huafeng Li

“…To tackle such a problem, we divide the speech enhancement model into multiple stages, with a special attention mechanism introduced in each stage so that the detailed speech information is retained and the features of high levels are captured. …”
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RUSSIAN-BELARUSIAN BORDER REGION AS AN INTERCAPITAL REGION by A. P. Katrovskiy, A. K. Nizhnikova

“…Territorial socioeconomic polarization has become the most important feature of economic dynamics in the inter-capital space. …”
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Analysis of the level of agricultural development in the Stavropol Territory and the main directions of its improvement by P. A. Chadalova, E. A. Astakhova, E. I. Krivokora, A. Yu. Kalnaya

“…Agriculture, despite its strategic role in the economy, is characterized by a number of problems, the features of which largely depend on the specifics and conditions of a particular territory both at the state level and at the level of a particular region. …”
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Main classification systems of personal mobility equipment analysis by V. V. Donchenko, V. A. Kupavtsev

“…The authors analyze the main classification systems of PME and determine the possibilities of their application for the subsequent solution of related problems that arise when driving PME in an urban environment.Conclusion. …”
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Tax Challenges Arising from the Digitalisation of the Economy: The Development of the OECD Project and Possible Implementation in Russia by K. Ponomareva

“…The digitalisation of the economy has created a number of complex problems in the area of taxation. A majority of these problems relate to the issue of the distribution of taxing rights between states in the context of taxing income received as a result of crossborder activities. …”
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ATHEMATICAL MODEL FOR THE OPTIMISATION OF HIERARCHICAL MULTI-LEVEL PRODUCTION SYSTEMS by Yu. V. Minaeva

“…The use of a single integral optimisation criterion for several problems allows the strong interrelationships between individual tasks to be taken into account. …”
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Clarkson’s Inequalities for Periodic Sobolev Space by I.V. Korytov

“…Therefore, fundamental features, such as uniform convexity, should be proved for being further used in extremum problems solving. …”
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A Conservation Law Treatment of Nonlinear KdV Hierarchies by Sameerah Jamal, Rivoningo Maphanga

“…We study the hierarchy commonly defined as an infinite sequence of partial differential equations which begins with the Korteweg–de Vries equation and its modified version. An important feature of the hierarchy is its highly nonlinear property. …”
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Development and Validation of a Machine Learning Model for Predicting Long-Term Depression Risk in ACS Patients After PCI: A Retrospective Cohort Study by Lv H, Sun F, Zhang Y, Zhou X

“…SHAP analysis confirmed NYHA classification, TSH, and diabetes as the most influential features. Decision curve analysis demonstrated the clinical benefit of both models across a range of thresholds.Conclusion: The models demonstrated potential for early risk stratification of post-PCI depression and may inform targeted clinical interventions.Plain Language Summary: Depression is a common but often overlooked problem in people recovering from heart procedures. …”
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Transient Stability Prediction of Power Systems Based on Deep Residual Network and Data Augmentation by Yanzhen ZHOU, Xianyu ZHA, Jian LAN, Qinglai GUO, Hongbin SUN, Feng XUE, Shengming WANG

“…In traditional data-driven power system transient stability assessment methods, the impact of noise in the collected data and the information missing problems are rarely considered for the transient stability prediction. …”
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Aspects of treatment of patients with abdominal oncopathology against the background of chronic kidney disease by I. A. Paltyshev, M. A. Belyaev, A. A. Zakharenko

“…The literature review highlights some problems related to the treatment of cancer patients with kidney dysfunction: epidemiology, features of diagnostic and dynamic examinations, surgical and chemotherapeutic treatment, as well as a number of organizational problems that arise when planning treatment for this complex group.…”
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Adaptive neighbourhood for locally and globally tuned biogeography based optimization algorithm by Parimal Kumar Giri, Sagar S. De, Satchidananda Dehuri

“…But, it is realized that adaptation of the intensification and diversification for solving complex optimization problems are challenging tasks. To cope with these challenges, we develop a novel migration model for BBO which inherits features of the nearest neighbour of the local best individual to be migrated along with a global best individual of the pool. …”
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Topology Unveiled: A New Horizon for Economic and Financial Modeling by Yicheng Wei, Junzo Watada, Zijin Wang

“…The most famous practical applications include the use of topological data analysis (TDA) and topological machine learning (TML) for different applied problems.…”
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