Multi-Scale Crack Detection and Quantification of Concrete Bridges Based on Aerial Photography and Improved Object Detection Network by Liming Zhou, Haowen Jia, Shang Jiang, Fei Xu, Hao Tang, Chao Xiang, Guoqing Wang, Hemin Zheng, Lingkun Chen

“…The key contributions of this method are as follows: (1) The DCN-BiFPN-EMA-YOLO (DBE-YOLO) crack detection network is introduced, which improves the model’s ability to extract crack features from complex backgrounds and enhances its multi-scale detection capability for accurate detection; (2) a more comprehensive crack quantification method is proposed, integrating the crack automation detection system for accurate crack quantification and efficient processing; (3) crack information is mapped onto the 3D model by computing the camera pose for each image in the 3D model for intuitive crack visualization. …”
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From Research Project to Research Portfolio: Meeting Scale and Complexity by Jonathan Linton, Nicholas Vonortas

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EXPERIMENTAL STUDY OF FURCATION AREA AND PROSPECTS OF ITS COMPLEX TREATMENT by Yu.V. Sidash, O.P. Kostyrenko, V.N. Petrushanko

“…Among the number of unsolved tasks, there is question about furcation areas and in particularly their antiseptic treatment and obturation in the complex treatment of chronic apical periodontitis of multi-rooted teeth. …”
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SURGICAL METHODS IN THE COMPLEX TREATMENT OF ORTHOPEDIC PATIENTS IN PERMANENT BITE by V. І. Kutsevliak, О. V. Liubchenko, Yu. H. Danilova, V.V. Starikov

“… The article presents the experimental and clinical substantiation of new solutions in orthodontics improving the efficiency and reducing the time of orthodontic treatment of patients in permanent occlusion combined method, by applying corticotomy and devices of its own design, building on mini implants, with the use of physical factors and medicines. …”
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Humans learn generalizable representations through efficient coding by Zeming Fang, Chris R. Sims

“…Consequently, complex stimuli are mapped to compact representations, forming the foundation for generalization. …”
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Hamiltonian transformation for accurate and efficient band structure interpolation by Kai Wu, Yingzhou Li, Wentiao Wu, Lin Lin, Wei Hu, Jinlong Yang

“…Conventional methods like Wannier interpolation (WI), which are commonly used to interpolate band structures onto dense k-point grids, often encounter difficulties with complex systems, such as those involving entangled bands or topological obstructions. …”
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Efficiency of the Miniature Anti-jam GNSS Antenna Array by A. V. Nemov, D. A. Nemov, D. L. Minh, S. A. Saveliev, A. N. Plastikov

“…Miniature CRPAs are in demand not only with mass consumer of GPS/GLONASS house-hold equipment, but with expert users of complex hardware as well, where high-tech multi-sensor miniature antenna systems (AC) can be applied. …”
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SegTrackDetect: A window-based framework for tiny object detection via semantic segmentation and tracking by Aleksandra Kos, Karol Majek, Dominik Belter

“…The framework selects detection sub-windows based on Regions of Interest (ROIs) generated by the ROI Estimation and ROI Prediction modules. …”
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A Novel Efficient Feature Dimensionality Reduction Method and Its Application in Engineering by Zhun Cheng, Zhixiong Lu

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An efficient video slice encryption scheme and its application by Qinyou Huang, Luping Wang, Jie Chen

“…Full encryption algorithms have higher security compared to selective encryption, though they compromise time efficiency. …”
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Study of Complex Impedance Dispersion Model for Two-Phase Laminar Flow by CHENG Linfeng, KE Shizhen, SHI Hongwei, ZHANG Yuhang, LUO Hu, TAO Jie

“…Therefore, it is imperative to identify a more cost-effective and efficient measurement method. Complex impedance spectrum (CIS) detection technology emerges as a promising solution, offering advantages such as low cost, easy implementation, environmental friendliness, and safety. …”
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Can deep learning technology really recognize Mpox? A positive response from the EfficientNet model by Xiaoqian Zhao, Xiaoqian Zhao, Long Lyu, Li Zhang, Li Zhang

“…In conclusion, the model proposed in this study effectively balances model’s complexity and inference accuracy. In practical applications, model selection should be based on the specific needs of decision-makers.…”
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Selected Topics on Business Information Systems: Editorial Introduction to Issue 11 of CSIMQ by Kurt Sandkuhl

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An Efficient Deep Learning-Based Framework for Predicting Cyber Violence in Social Networks by Younes Fayand Fathabad, Mohammad Ali Balafar, Amin Golzari Oskouei, Kamal Koohi

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Transportation Mode Selection Using Reinforcement Learning in Simulation of Urban Mobility by Mehmet Bilge Han Taş, Kemal Özkan, İnci Sarıçiçek, Ahmet Yazici

“…Given the complex dynamics of urban mobility, strategically selecting a transportation mode can significantly mitigate delays and enhance overall productivity in densely populated areas. …”
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Performance Analysis of Wireless Cooperative Networks with Iterative Incremental Relay Selection by S. Poursajadi, M. H. Madani

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A Multiagent Decision-Making Model for Martian Landing Site Selection by Rong Wang, Yongjiu Feng, Panli Tang, Pengshuo Li, Yiyan Dong, Yusheng Xu, Chao Wang, Sicong Liu, Yanmin Jin, Shijie Liu, Xiaohua Tong

“…Selecting suitable landing sites on Mars remains one of the key challenges due to the complex terrain of Mars and the diverse scientific objectives in Mars exploration missions. …”
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Discovery of KRAS(G12D) selective degrader ASP3082 by Tomohiro Yoshinari, Takeyuki Nagashima, Hiroki Ishioka, Kohei Inamura, Yoshihiro Nishizono, Mamoru Tasaki, Kanako Iguchi, Atsushi Suzuki, Chikako Sato, Ayako Nakayama, Yasushi Amano, Yukihiro Tateishi, Yosuke Yamanaka, Fumio Osaki, Masayasu Yoshino, Kazuyuki Kuramoto, Tomoyoshi Imaizumi, Masahiko Hayakawa

“…Herein, we report the discovery and characterization of ASP3082, a KRAS(G12D)-selective degrader, and the crystal structure of the drug-induced ternary complex of KRAS(G12D)/ASP3082/VHL (von Hippel–Lindau). …”
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An Efficient Sentiment Classification Method with the Help of Neighbors and a Hybrid of RNN Models by Israa K. Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh, Mohammad Asadpour

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An Efficient 3D Model Retrieval Method Based on Convolutional Neural Network by Bo Ding, Lei Tang, Yong-jun He

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