INTEGRATING CNN AND DICTIONARY MECHANISMS FOR EFFECTIVE LOOP CLOSURE DETECTION by Ayda Mohammed Sharif, Sadegh Abdollah Aminifar

“… Loop closure detection (LCD) remains a critical challenge in visual Simultaneous Localization and Mapping (SLAM), particularly in environments with repetitive structures or sparse textures where traditional methods suffer from perceptual aliasing and computational inefficiency. …”
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HISTOLOGICAL STUDY OF THE THYROID AND PARATHYROID GLANDS IN IRAQI BUFFALO "BUBALUS BUBALIS" WITH REFERRING TO THE SEASONAL CHANGES by Amer M. Hussin, Muntadhar M. Al-Taay

“…The present study included the collection of thyroid and parathyroid glands from the abattoirs of middle of Iraq in Summer and Winter seasons 2006-2007. …”
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Dynamic Algorithm for Mining Relevant Association Rules via Meta-Patterns and Refinement-Based Measures by Houda Essalmi, Anass El Affar

“…DERAR consistently achieves lower execution times and memory use, especially on large or sparse datasets. These results confirm the benefits of adaptive, semantically guided rule mining for generating concise, high-quality, and actionable knowledge.…”
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Reliable Vehicle Routing Problem Using Traffic Sensors Augmented Information by Ahmed Almutairi, Mahmoud Owais

“…The stochastic routing transportation network problem presents significant challenges due to uncertainty in travel times, real-time variability, and limited sensor data availability. …”
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Navigating challenges in pediatric trial conduct: integrating bayesian sequential design with semiparametric elicitation for handling primary and secondary endpoints by Danila Azzolina, Ileana Baldi, Silvia Bressan, Mohd Rashid Khan, Liviana Da Dalt, Dario Gregori, Paola Berchialla

“…Abstract Background This study presents a Bayesian Adaptive Semiparametric approach designed to address the challenges of pediatric randomized controlled trials (RCTs). …”
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Evaluating Geostatistical and Statistical Merging Methods for Radar–Gauge Rainfall Integration: A Multi-Method Comparative Study by Xuan-Hien Le, Naoki Koyama, Kei Kikuchi, Yoshihisa Yamanouchi, Akiyoshi Fukaya, Tadashi Yamada

“…This study presents a comparative analysis of six radar–gauge merging methods, including three statistical approaches—Quantile Adaptive Gaussian (QAG), Empirical Quantile Mapping (EQM), and radial basis function (RBF)—and three geostatistical approaches—external drift kriging (EDK), Bayesian Kriging (BAK), and Residual Kriging (REK). …”
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PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

“…To address the potential complex computational issues in the convolution process, we have designed an innovative Adaptive Sparse Convolution (ASC) module that effectively eliminates redundant information in the feature layer. …”
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Multimodal Pain Recognition in Postoperative Patients: Machine Learning Approach by Ajan Subramanian, Rui Cao, Emad Kasaeyan Naeini, Seyed Amir Hossein Aqajari, Thomas D Hughes, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salanterä, Ariana M Nelson, Amir M Rahmani

“…Machine learning classifiers, including support vector machine, random forest, adaptive boosting, and k-nearest neighbors, were trained using weak supervision and minority oversampling to handle sparse and imbalanced pain labels. …”
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A Novel Detection Scheme for Motor Bearing Structure Defects in a High-Speed Train Using Stator Current by Qi Sun, Juan Zhu, Chunjun Chen

“…This approach employs a hybrid signal preprocessing algorithm that integrates adaptive notch filtering (ANF) with envelope spectrum analysis (ESA) to effectively sparse the stator current and extract relevant fault features. …”
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Vagus nerve stimulation modulates information representation of sustained activity in layer specific manner in the rat auditory cortex by Tomoyo Isoguchi Shiramatsu, Kenji Ibayashi, Kensuke Kawai, Hirokazu Takahashi, Hirokazu Takahashi

“…Understanding how vagus nerve stimulation (VNS) modulates cortical information processing is essential to developing sustainable, adaptive artificial intelligence inspired by biological systems. …”
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A multi-scale small object detection algorithm SMA-YOLO for UAV remote sensing images by Shilong Zhou, Haijin Zhou, Lei Qian

“…Finally, we incorporate a Channel-Space Feature Fusion Adaptive Head (CSFA-Head), which fully handles multi-scale features and adaptively handles consistency problems of different scales, further improving the robustness of the model in complex scenarios. …”
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Histogram of Polarization Gradient for Target Tracking in Infrared DoFP Polarization Thermal Imaging by Jianguo Yang, Dian Sheng, Weiqi Jin, Li Li

“…To address these issues, this study presents a novel histogram of polarization gradient (HPG) feature descriptor that enables efficient feature representation of polarization mosaic images. …”
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PEGASUS-XL with saliency-guided scoring and long-input encoding for multi-document abstractive summarization by Rawan Alsultan, Alaa Sagheer, Hala Hamdoun, Lamya Alshamlan, Latifah Alfadhli

“…It employs a hybrid scoring mechanism that combines TF-IDF and SBERT representations, modulated by a document-aware adaptive weighting scheme to dynamically balance lexical and semantic importance. …”
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Impact of Network Complexity on the Computational Performance of Ising Machines by Seokmin Hong

“…A technique known as network sparsification has been adopted and adapted for hardware implementation, transforming dense networks into sparse ones by introducing additional nodes or p-bits. …”
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The complete mitochondrial genome of Sinojackia microcarpa: evolutionary insights and gene transfer by Tailin Zhong, Shijie Huang, Rongxiu Liu, Juan Zhuo, Haifei Lu, Chunlin Gan, Jun Fu, Qixia Qian

“…Abstract Background As a dicotyledonous plant within the Styracaceae family, Sinojackia microcarpa (S. microcarpa) is notable for its library-shaped fruit and sparse distribution, serving as a model system for studying the entire tree family. …”
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Comparison of rainfall interception models in isolated individuals of Pinus pinea and Cistus ladanifer by R. Pérez-Arellano, M. F. Moreno-Pérez, J. Roldán-Cañas

“…This paper presents a comparison of several simulation models of interception process commonly used in numerous studies, such as the classic versions of Rutter and Gash, also the version of Valente adapted by sparse forests. …”
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The ambiguous relation between verbal irony understanding and need for cognitive closure: Reports from two studies by Branowska Katarzyna, Koziński Konrad

“…This article presents the results of two studies on the relation between irony understanding and NFC. …”
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Study on the Complexity Evolution of the Aviation Network in China by Shuolei Zhou, Cheng Li, Shiguo Deng

“…Key innovations reveal previously unrecognized dynamics: ① Time-embedded density matrices (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>ρ</mi></mrow></semantics></math></inline-formula>) demonstrate how sparsity balances information propagation efficiency (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>η</mi></mrow></semantics></math></inline-formula>) and response diversity, resolving the paradox of functional yet sparse connectivity. ② Redundancy–entropy synergy exposes adaptive trade-offs. …”
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The Side-Release Method Measures the High-Pressure Sound Velocity of Iron Using Line-Spatially Resolved DISAR by Long Chen, Cangli Liu, Longhuang Tang, Heli Ma, Xing Jia, Tianjiong Tao, Shenggang Liu, Yongchao Chen, Xiang Wang, Jian Wu, Chengjun Li, Dameng Liu, Jidong Weng, Huan Liu

“…The study of high-pressure sound velocity is an important part of shock wave physics, and the study of ultra-high pressure sound velocity of iron is of great significance to many research fields such as geophysics, solid state physics, and crystallography. At present, the measurement of sound velocity is usually carried out by the catch-up sparse wave method and windowed VISAR technology, which is complex in structure and not highly adaptable. …”
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Robust low frequency seismic bandwidth extension with a U-net and synthetic training data by P. Zwartjes, J. Yoo

“…Conventional methods for bandwidth extension include seismic deconvolution and sparse inversion, which have limitations in recovering low frequencies. …”
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