Learning Styles of Dental Students at Babol University of Medical Sciences Using VARK Questionnaire by Ramin Zeraat pishe, Ali Bijani, Fatima Bijani

“…This study was conducted with the aim of investigating the preferred learning styles of Babol dental students and investigating the effect of gender, academic semester and grade point average (GPA) of the previous semester. Methods: This cross-sectional descriptive-analytical study was conducted using the VARK learning styles questionnaire (Visual-Aural-Reading/Writing-Kinesthetic) on 165 students from the 5th to 12th semester who passed the basic science and were satisfied to participate. …”
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Designed Omnidirectional Antenna of Quarter-Mode Substrate-Integrated Waveguide Element with Characteristic Mode Analysis by Wei Hu, Liangfu Peng, Tao Tang, Maged A. Aldhaeebi, Thamer S. Almoneef, Jaouhar Mouine

“…This study investigates the design of omnidirectional antennas, using a characteristic mode analysis (CMA), and explores two distinct feeding methods. The first method employs equal-amplitude and in-phase excitation across all ports, whereas the second method utilizes equal-amplitude excitation with a 180° phase difference between adjacent ports. …”
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Inspection of Defective Glass Bottle Mouths Using Machine Learning by Daiki Tomita, Yue Bao

“…In this study, we proposed a method for detecting chips in the mouth of glass bottles using machine learning. …”
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DMDiff: A Dual-Branch Multimodal Conditional Guided Diffusion Model for Cloud Removal Through SAR-Optical Data Fusion by Wenjuan Zhang, Junlin Mei, Yuxi Wang

“…Despite substantial progress in deep learning (DL)-based CR methods utilizing SAR data in recent years, challenges remain in preserving fine texture details and maintaining image visual authenticity. …”
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Еvaluate the Effectiveness of Accelerated Collagen Crosslinking in the Treatment of Corneal Endothelial Decompensation by S. Yu. Astakhov, S. A. Novikov, S. S. Papanyan, I. A. Riks

“…The study of combined surgical methods for treating this complex corneal pathology using cross-linking as an auxiliary method seems promising.…”
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An Interpretable Siamese Attention Res-CNN for Fingerprint Spoofing Detection by Chengsheng Yuan, Zhenyu Xu, Xinting Li, Zhili Zhou, Junhao Huang, Ping Guo

“…Additionally, we leverage Gradient-weighted Class Activation Mapping to generate a heatmap that visualizes the interpretability of our model, offering a compelling visual validation.…”
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Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning by Yuriya Nakamura, Lei Jing

“…In recent years, visual-based sign language recognition (SLR) has become an active research area with the advancement of deep learning. …”
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Characterization of Volatile Component Changes in Peas under Different Treatments by GC-IMS and GC-MS by Kangyi Zhang, Can Zhang, Haining Zhuang, Yue Liu, Tao Feng, Bin Nie

“…In the study, fingerprints coupled with cluster analysis were a visualized method for the identification of volatile compounds. …”
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Responsibility for the legal costs in case of procedural complicity in civil and commercial proceedings by Julia V. Kaizer

“…The subject of the paper are basic principles for the responsibility for the legal costs in case of procedural complicity and consolidation of these principles in the procedural legislation.The purpose of the article is to confirm or disprove hypothesis that the basis of principles for imposing the responsibility for the legal costs on co-plaintiff or codefendant includes substantive criterion (the nature of the disputed material relationship) and procedural criterion (the procedural status of the co-participant).The methodological basis of the research is the dialectical method of cognition and the resulting private-scientific methods, in particular: the system-structural method and the method of comparative law.The main results and scope of their application. …”
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Robust and Reversible Audio Watermarking by Modifying Statistical Features in Time Domain by Shijun Xiang, Le Yang, Yi Wang

“…This paper presents a novel robust reversible audio watermarking method by modifying the statistic features in time domain in the way that the histogram of these statistical values is shifted for data hiding. …”
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Type Synthesis of Hybrid Robot Mechanism with 3T2R based on Single Opened Chain Unit by Sheng Weifeng, Chen Hai, Qin Youlei, Cao Yi

“…By analyzing the structures characteristics of the lower- mobility serial kinematic mechanism（SKM） and parallel kinematic mechanism（ PKM）,based on the linear independence theory of kinematic screws and taking of the lower- mobility SKM with single opened chain as unit,a systematic and effective type synthesis method is proposed for hybrid mechanism including the definition and symbol denotation method of both hybrid robots with a parallel mechanism and multi- parallel mechanisms. …”
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Hybrid hiding in multimedia files by Farah Mohammed

“…The principle of hybrid information hiding represented by process of information hiding  message (multimedia files) embedded inside another message which is depended on hiding a certain media in another media using different domains (special domain, frequency domain) to provide protection and security for transformed data,  this paper  suggest an algorithm by using two different files first one compressed binary image, the compression method is run-length and hided this file inside the hostage media by use frequency domain which is represented by Discrete cosine transform (DCT), the second is text ciphered by Caesar method which is depended one secret key by using spatial domain. …”
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PLANT CLASSIFICATION BASED ON LEAF EDGES AND LEAF MORPHOLOGICAL VEINS USING WAVELET CONVOLUTIONAL NEURAL NETWORK by Wulan Dewi, Wiranto Herry Utomo

“…The results obtained using the Wavelet Convolutional Neural Network method are equal to 97.13%.  …”
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A pyramid Gaussian pooling based CNN and transformer hybrid network for smoke segmentation by Guiqian Wang, Feiniu Yuan, Hongdi Li, Zhijun Fang

“…In order to utilize low‐pass filtering to suppress noise, a PGP method is designed. Then, the output of PGP is reshaped to construct a set of visual tokens for transformers, thus a PGP‐transformer module is presented to make full use of the self‐attention mechanism. …”
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Experimental Study of a Transmission System Based on FBMC/OQAM by R. R. Abenov, E. V. Rogozhnikov, Ya. V. Kryukov, D. A. Pokamestov, P. A. Abenova

“…This system is characterized by a high spectral efficiency, thereby attracting interest as an alternative transmission method in future wireless mobile communication standards. …”
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Comparative evaluation of four reconstruction techniques for prostate T2-weighted MRI: Sensitivity encoding, compressed sensing, deep learning, and super-resolution by Noriko Nishioka, Noriyuki Fujima, Satonori Tsuneta, Daisuke Kato, Takashi Kamiishi, Masato Yoshikawa, Rina Kimura, Keita Sakamoto, Ryuji Matsumoto, Takashige Abe, Jihun Kwon, Masami Yoneyama, Kohsuke Kudo

“…From the CS-based data, three reconstruction methods (CS, DL, and SR) were applied to generate additional images. …”
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Supporting Sustainability of City Coastlines with Multi-Criteria Analysis Approach by Filiz Çetinkaya Karafakı, Çiğdem Çetin

“… City coastlines are places that enhance the wellbeing of citizens, promote sociality and enhance the city's aesthetic and quality of life due to the variety of activities, visuality and air supplement. It also contributes to urban sustainability with all these aspects. …”
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STUDYING OF DUAL DEEP PERIOCULAR PARTS FOR PERSONS RECOGNITION by Safa N. H. Al-Moktar, Raid Al-Nima

“…In this study, a new method is proposed for recognizing persons based on their perioculars. …”
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OPTIMALITY IN AGRICULTURE: GENERATING OPTIMAL STRUCTURE OF CULTURES WITHIN A FARM USING GENETIC ALGORITHMS by Victor TIȚA, Doru Anastasiu POPESCU, Nicolae BOLD

“…The results will be then compared to the results obtained by the traditional method that uses linear programming.…”
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Task domain independent speech keyword detection system by HAN Jiang, LIU Xiao-xing, YAN Yong-hong, ZHANG Peng-yuan

“…A multiple scale acoustic modeling framework for task-domain independent keyword spotting was proposed.A large-scale phoneme set was obtained automatically through decision-tree based phoneme clustering,and a large-scale phoneme acoustic context dependent background model was trained accordingly through using standard HMM training framework.The modeling accuracy for filler speech is improved.Under the framework,an efficient searching space construction through using shared HMM state was also described.Experimental results showed that in average absolute 6.9% improvement of keyword recognition accuracy could be obtained.Furthermore an acoustic context neighbor algorithm to measure acoustic confidence and a method of computing candidate keyword likelihood based on proposed multiple-scale acoustic model were proposed and a fusing method based on FLDA was adopted.The effectiveness of acoustic confidence measure is improved significantly.Experimental results showed that absolute 3.0% reduction of equal error rate could be obtained.…”
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