A Local Adversarial Attack with a Maximum Aggregated Region Sparseness Strategy for 3D Objects by Ling Zhao, Xun Lv, Lili Zhu, Binyan Luo, Hang Cao, Jiahao Cui, Haifeng Li, Jian Peng

“…These attacks often require large and dispersed modifications to objects, making them easily noticeable and reducing their effectiveness in real-world scenarios. To maximize the attack effectiveness, large and dispersed attack camouflages are often employed, which makes the camouflages overly conspicuous and reduces their visual stealth. …”
Get full text

Investigating the Use of Generative Adversarial Networks-Based Deep Learning for Reducing Motion Artifacts in Cardiac Magnetic Resonance by Ma ZP, Zhu YM, Zhang XD, Zhao YX, Zheng W, Yuan SR, Li GY, Zhang TL

“…For the 37 images with real-world artifacts, the Tenengrad Focus Measure showed a significant enhancement, rising from 6.06± 0.91 to 10.13± 0.48 after artifact removal. …”
Get full text

Challenges of Corporate Misconduct: The Organisational, Social, Economic and Financial Dynamics of Workplace Sexual Harassment in the Restaurant Industry in the USA by Darrell Norman Burrell, Stacey L. Morin, Theresia Wansi, Virginia Bianco Mathis, Carlo Ninassi, Susanne Ninassi

“…Unlike previous studies focusing only on theoretical approaches to sexual harassment, this research adopts real-world and practical approaches, such as analyzing workplace policies and exploring current research, to understand the unique vulnerabilities of the restaurant industry and the broader implications for employee well-being and organizational stability. …”
Get full text

Mobile robots in automated laboratory workflows by J. Huang, H. Liu, S. Junginger, K. Thurow

“…This innovative paradigm represents a comprehensive solution for executing transportation tasks in an intelligent laboratory environment using mobile robots, demonstrating consistent stability and exceptional effectiveness in real-world applications.…”
Get full text

A proposed model for the assessment of supply chain management using DEA and knowledge management by Nasim Ekram Nosratian, Mohammad Taghi Taghavi Fard

“…The obtained results show that the proposed model is quite valid and efficient and can be easily applied to real-world cases.…”
Get full text

Design and Construction of Micro-hydro Model With Different Flowrate as a Learning Medium by Diki Ismail Permana, Dini Fauziah, Decy Nataliana

“…In this case, a set of demonstration tools in the form of a micro-hydro system model with varying parameters so that students can easily understand a course and could connect the theory with the real world/industry.</p>…”
Get full text

Chaos synchronization for a class of uncertain chaotic supply chain and its control by ANFIS by Seyed Mohamad Hamidzadeh, Mohsen Rezaei, Mehdi Ranjbar-Bourani

“…This signal indicates that the cost of implementation in the real world is not high and is easily implemented.…”
Get full text

Self-Supervised Deep Hyperspectral Inpainting with Plug-and-Play and Deep Image Prior Models by Shuo Li, Mehrdad Yaghoobi

“…A stability analysis guarantees the convergence of the proposed algorithm under mild assumptions, which is crucial for its application in real-world scenarios. Extensive experiments demonstrate that the proposed solution consistently delivers visually and quantitatively superior inpainting results, establishing state-of-the-art performance.…”
Get full text

On-The-Job Training: Enhance Experience and Increase Success for the Student Community in Vietnam by Tran Ba Loc, Nguyen Thi Thanh Ngan, Le Duy Linh, Nguyen Trong Luan

“…On-the-job training (OJT) programs at private universities play an essential role in providing students with real-world experiences, equipping them with the skills and knowledge needed for future career. …”
Get full text

Digital twin based intelligent urban traffic forecasting and guidance strategy by Xiwen LIAO, Supeng LENG, Yujun MING, Tianyang LI

“…As the technology of ubiquitous Internet of things and artificial intelligence improves by leaps and bounds, the transportation system revolution is flourishing and bringing new opportunities and challenges.Considering the defect in the existing navigation system, and the neglect of the temporal and spatial characteristics of traffic flow, the macro traffic network and micro vehicle network were modeled and their coupling relationship was mined.Then, a digital twin based urban traffic forecasting and guidance method was proposed to alleviate the problem of traffic congestion.The spatial-temporal traffic flow information was predicted through the diffusion convolution recurrent neural network, which was explicitly applied to the vehicle path planning decision.On this basis, a spatial-temporal collaborative deep reinforcement learning method was proposed to implement the future-oriented collaborative path planning of vehicles.It also guided the underlying vehicle twins to select the optimal strategy for the real world.With SUMO for simulation verification, the experimental results show that the proposed method is significantly better than the existing algorithms in improving the travel completion ratio and congestion relief, and can improve the efficiency of urban traffic travel.…”
Get full text

Active Contour Model Coupling with Higher Order Diffusion for Medical Image Segmentation by Guodong Wang, Jie Xu, Qian Dong, Zhenkuan Pan

“…The images with intensity inhomogeneities often occurred in real world especially in medical images. To deal with the difficulties raised in image segmentation with intensity inhomogeneities, a new active contour model with higher-order diffusion method is proposed. …”
Get full text

Dynamic Weighted Symbiotic Organisms Search Algorithm for Global Optimization Problems by Pengjun Zhao, Sanyang Liu

“…The results demonstrate that the proposed algorithms are able to provide very promising results. Furthermore, five real-world problems are solved by the two newly proposed methods. …”
Get full text

Stress Intensity Factors for Corner Cracks under Arbitrary Stress Fields in the Finite Plates Based on the Point Weight Function Method by Guo Li, Huimin Zhou, Junbo Liu, Tongge Xu, Shuiting Ding

“…Therefore, this paper derives the point weight functions for corner cracks, which are suited for cracks in real-world components with two-directional stress distributions. …”
Get full text

Spam Email Detection using Naïve Bayes classifier by Wang Liansong

“…With consistently high metrics score throughout both classes, the Naïve Bayes classifier has proven to be an exceptionally reliable tool for spam email detection, underscoring its suitability for numerous real-world applications.…”
Get full text

Sequential recommendation algorithm for long-tail users based on knowledge-enhanced contrastive learning by REN Yonggong, ZHOU Pinglei, ZHANG Zhipeng

“…Experimental results on real-world datasets demonstrate the effectiveness of the proposed algorithm in improving performance for long-tail users.…”
Get full text

Conformance evaluation of the top‐100 Ethereum token smart contracts with Ethereum Request for Comment‐20 functional specifications by Hyeon‐Ah Moon, Sooyong Park

“…The authors analysed the existing application programming interface standard interface called Ethereum Request for Comment 20 (ERC‐20), proposed functional ERC‐20 specifications, and evaluated the real‐world token smart contracts that have been deployed and used for transactions on a blockchain. …”
Get full text

Molecular optimization using a conditional transformer for reaction-aware compound exploration with reinforcement learning by Shogo Nakamura, Nobuaki Yasuo, Masakazu Sekijima

“…The transformer model, which recognizes the entire structures, captures the complexity of the organic synthesis and enables its navigation in a vast chemical space while considering real-world reactivity constraints.…”
Get full text

Hybrid Metaheuristics for Solving a Fuzzy Single Batch-Processing Machine Scheduling Problem by S. Molla-Alizadeh-Zavardehi, R. Tavakkoli-Moghaddam, F. Hosseinzadeh Lotfi

“…This paper deals with a problem of minimizing total weighted tardiness of jobs in a real-world single batch-processing machine (SBPM) scheduling in the presence of fuzzy due date. …”
Get full text

Enhance the Transfer Capacity of Multiplex Networks by Fei Shao, Wei Zhao, Binghua Cheng

“…Simulation experiments on both computer-generated and real-world networks demonstrate that our strategy can enhance the transfer capacity of multiplex networks significantly, which is in good agreement with our analysis.…”
Get full text

Interval Neutrosophic Sets and Their Application in Multicriteria Decision Making Problems by Hong-yu Zhang, Jian-qiang Wang, Xiao-hong Chen

“…As a generalization of fuzzy sets and intuitionistic fuzzy sets, neutrosophic sets have been developed to represent uncertain, imprecise, incomplete, and inconsistent information existing in the real world. And interval neutrosophic sets (INSs) have been proposed exactly to address issues with a set of numbers in the real unit interval, not just a specific number. …”
Get full text