Continuous Sign Language Recognition With Multi-Scale Spatial-Temporal Feature Enhancement by Zhen Wang, Dongyuan Li, Renhe Jiang, Manabu Okumura

“…Firstly, for better continuous frame information exploration, based on the optimal transport algorithm, we first propose a spatial resonance module, which is used to extract the global common spatial features of two adjacent frames along the frame sequence. …”
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Understanding the Impact of Algorithmic Discrimination on Unethical Consumer Behavior by Binbin Sun, Shan Pei, Qingjin Wang, Xuelei Meng

“…The prevalence of artificial intelligence (AI) increases social concern surrounding unethical consumer behavior in human–AI interaction. Existing research has mainly focused on anthropomorphic characteristics of AI and unethical consumer behavior (UCB). …”
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Estimation of Polarization and Spatial Parameters of a Radio Source Signal Using Triorthogonal Antenna by G. S. Gribov

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Advances in Light Field Spatial Super-Resolution: A Comprehensive Literature Survey by Wenqi Lyu, Hao Sheng, Wei Ke, Xiao Ma

“…Additionally, the unique characteristics of light field images add complexity to the super-resolution task. Future research should focus on enhancing the robustness, generalization, and capability of algorithms to handle complex scenarios. …”
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Summaries of certain spatial patterns retrieved from multidate remote-sensing data by Hema Nair

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Adaptive Spatial Modulation Based Visible Light Communications: SER Analysis and Optimization by Jin-Yuan Wang, Jian-Xia Zhu, Sheng-Hong Lin, Jun-Bo Wang

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Reverse Geomancy: The Spatial Patterns Between Jimei Ancestral Halls and Their Surrounding Environment by Congjian Yin, Jun Shan

“…As the core buildings of traditional villages in Southern Fujian, ancestral halls are deeply influenced by Feng Shui theories in their angular spatial layout. This research collected data on 45 ancestral halls and their surrounding elements, such as ponds, trees, plazas, and performance stages, using a classification approach based on Feng Shui theory to analyze the spatial distribution patterns, combined with DBSCAN and HDBSCAN clustering algorithms. …”
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Ultra-High Spatial Resolution Clinical Positron Emission Tomography (PET) Systems by Myungheon Chin, Muhammad Nasir Ullah, Derek Innes, Craig S. Levin

“…Positron emission tomography (PET) is an imaging modality for non-invasive visualization and quantification of molecular pathways in human diseases, with applications spanning clinical practice and biomedical research. Recent advances in PET system technology target ultra-high spatial resolution (<2 mm) to enhance diagnostic precision for early-stage disease detection and longitudinal monitoring. …”
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A Novel Main-Lobe Cancellation Method Based on a Single Notch Space Filter and Optimized Correlation Analysis Strategy by Jiazhi Zhang, Xin Zhang, Weibo Deng, Liang Guo, Qiang Yang

“…So the new efficient sea clutter suppression method is required, and the clutter characteristics analyses are also in urgent need of research in order to guide the design of the algorithm in the background of HFSSWR. …”
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Survey of federated learning research by Chuanxin ZHOU, Yi SUN, Degang WANG, Huawei GE

“…Federated learning has rapidly become a research hotspot in the field of security machine learning in recent years because it can train the global optimal model collaboratively without the need for multiple data source aggregation.Firstly, the federated learning framework, algorithm principle and classification were summarized.Then, the main threats and challenges it faced, were analysed indepth the comparative analysis of typical research programs in the three directions of communication efficiency, privacy and security, trust and incentive mechanism was focused on, and their advantages and disadvantages were pointed out.Finally, Combined with application of edge computing, blockchain, 5G and other emerging technologies to federated learning, its future development prospects and research hotspots was prospected.…”
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Comparative Analysis of The Combined Model (Spatial and Temporal) and Regression Models for Predicting Murder Crime by Laith S. Ibrahim, Ghadeer Jasim Mohammed

“… This research dealt with the analysis of murder crime data in Iraq in its temporal and spatial dimensions, then it focused on building a new model with an algorithm that combines the characteristics associated with time and spatial series so that this model can predict more accurately than other models by comparing them with this model, which we called the Combined Regression model (CR), which consists of merging two models, the time series regression model with the spatial regression model, and making them one model that can analyze data in its temporal and spatial dimensions. …”
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AN INTERDISCIPLINARY APPROACH TO TREATMENT OF TEMPOROMANDIBULAR PAIN-DYSFUNCTION SYNDROME AGAINST THE BACKDROP OF CERVICAL OSTEOCHONDROSIS. by V.L. Melnik, V.K. Shevchenko

“…Therefore, the aim of our study was to: • Create a new algorithm for the treatment of patients with temporomandibular pain-dysfunction syndrome against the backdrop of cervical osteochondrosis; • Verify the effectiveness of methods of anesthesia in patients with temporo-mandibular pain-dysfunction against the backdrop of cervical osteochondrosis in applying acupuncture and light therapy; • Estimate the effectiveness of the proposed algorithm for treatment. …”
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Site location and Pipeline routing optimization for Future natural gas importing terminal project in Morocco by Firdaous EL Ghazi, Mahmoud Akdi, Moulay Brahim Sedra

“…The aim of this article is to develop a research analysis by introducing the main key aspects of choosing a site location, proposing an optimum routing for pipelines given factual criterions based on mathematic algorithms, and finally concluding with financial estimation to be performed.…”
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THE IMPACT OF ALGERIAN RESEARCHERS TOWARDS NATIONAL RESEARCH AND ITS IMPACT ON THE IMPACT FACTOR OF SCIENTIFIC JOURNALS by Meryem HADDAD

“…The objective is to analyze the algorithms provided by ResearchGate, Google Scholar to calculate its true impact factor through citation analysis. …”
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Pain in the lumbar spine: etiology, differential diagnosis and treatment (literature review and clinical case) by A. A. Kargaltsev, M. A. Makarov

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Cold receptor TRPM8 as a target for migraine-associated pain and affective comorbidities by David Cabañero, Edward P. Carter, Rafael González-Cano, Enrique J. Cobos, Asia Fernández-Carvajal, Antonio Ferrer-Montiel

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Identifying chronic pain subgroups in the UK biobank for persona development: A clustering analysis by Ting-Chen Chloe Hsu, Pauline Whelan, Christopher J Armitage, John McBeth

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MODELING OF A DUPLEX MILLER AND CONDITIONS OF FORMATION OF TREATMENT OF WHEEL PAIRS OF MAIN ELECTRIC CARDS, DUAL CARS, ELECTRO SECTIONS by Victor Shapovalov, Alexandr Permyakov, Alexander Klochko

“…The subject matter of the research in the article is the process of restoring the quality and accuracy of the working surface of the wheelsets of the main electric locomotives, electric sections. …”
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Advancing Hyperspectral Image Classification with Deep Features Learning and Evolutionary Algorithms by M. B. Amri, M. B. Amri, D. Yedjour, M. E. A. Larabi, F. Berrichi

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Advanced quantification pipeline reveals new spatial and temporal tumor characteristics in preclinical multiple myeloma by Zhixin Sun, Jacqueline M. Godbe, Alexander Zheleznyak, Brad Manion, Junhao Hu, Julie L. Prior, Kathleen Duncan, Ulugbek S. Kamilov, Monica Shokeen

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