Improved salp swarm algorithm based optimization of mobile task offloading by Aishwarya R., Mathivanan G.

“…This application requires complex computation for better user experience and real-time decision-making. …”
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Event-Triggered Impulsive Formation Control for Cooperative Obstacle Avoidance of UAV Swarms in Tunnel Environments by Rui Hao, Wenjie Zhou, Yuanfan Wang, Yuehao Yan

“…This paper proposes a cooperative obstacle avoidance strategy for UAV formation based on adaptive event-triggered impulse control, achieving efficient navigation under limited resources. The strategy comprises four key modules: an adaptive event-triggering mechanism, optical flow-based obstacle detection, leader–follower formation structure, and dynamic communication topology management. …”
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A physics-informed and data-driven framework for robotic welding in manufacturing by Jingbo Liu, Fan Jiang, Shinichi Tashiro, Shujun Chen, Manabu Tanaka

“…However, in real-world industrial applications, the intricate interplay among data quality, model accuracy, and generalizability poses significant challenges, hindering the effective deployment and scalability of data-driven models in complex manufacturing environments. To address this challenge, this paper proposes a universal Physics-informed Hybrid Optimization framework for Efficient Neural Intelligence (PHOENIX) in manufacturing, demonstrating its applicability in robotic welding scenarios. …”
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Simulation and MCDA-based framework for border crossing process design with static and dynamic control of passenger flow by Piotr Sawicki, Hanna Sawicka

“…The primary outcome is the selection of a recommended process configuration, including the types and number of servers required to ensure an efficient passenger flow within the BCP, and satisfactory service levels from the passenger's perspective. …”
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New Trends in the Methodologies of Determination of Benzodiazepine Residues in Biological Samples by Israel S. Ibarra, Isaí Vázquez-Garrido, Gabriela Islas, Juan F. Flores-Aguilar

“…The availability of efficient analytical methods is crucial for the determination of these drugs in a complex matrix such as biological samples in clinical settings. …”
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TrainNet for locking state recognition of side door of railway freight car by Ning Xing, Cai Kangcheng, Zhou Shumin, Lan Xiangui, Lai Yihui

“…Current approaches that focus on existing object recognition methods lead to high false detection and miss rates. This paper introduces TrainNet for efficient locking state detection for Open-top wagon doors. …”
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Determination of Nitrate Nitrogen and Nitrite Nitrogen in Brackish and Saline Waters by Flow Injection Analysis by Hongbin SUN, Huiyuan ZANG, Xin ZHANG, Yun ZHU, Lei WANG

“…Among them, chromatography and electrochemistry require expensive and complex instruments or reagent; while spectrophotometry, although using simple equipment, has complex manual operation. …”
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Targeted immunotherapy approaches for intraductal papillary neoplasm of the bile duct by Bahareh Sadri, Massoud Vosough

“…Abstract: Intraductal papillary neoplasm of the bile duct (IPNB) is a complex biliary tractneoplasm. Its classifications based on distinct clinical, pathological, andradiological features and gene mutations, are of paramount importance. …”
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A lamination-based piezoelectric insole gait analysis system for massive production for Internet-of-health things by Yanning Dai, Yuedong Xie, Junliang Chen, Shuaibo Kang, Lijun Xu, Shuo Gao

“…Gait analysis has been proved to be a powerful and efficient means for health monitoring. Variety of nervous system diseases and emergencies can be detected by interpreting plantar stress distributions. …”
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Impact of AI and Machine Learning on Financial Services by Patil Smita, Mailcontractor Rahul

“…From retail banking to investment firms, financial organizations are progressively implementing AI and ML technologies to improve decision-making and enhance the customer experience. Complex financial issues such as fraud detection, risk management, credit scoring and algorithmic trading can be addressed using devices like AI and ML. …”
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Advancing Credit Rating Prediction: The Role of Machine Learning in Corporate Credit Rating Assessment by Nazário Augusto de Oliveira, Leonardo Fernando Cruz Basso

“…The study evaluated multiple ML models, including Logistic Regression, Support Vector Machines, Decision Trees, Random Forest, Gradient Boosting (GB), and Neural Networks, using rigorous data pre-processing, feature selection, and validation techniques. Results indicate that Artificial Neural Networks (ANN) and GB consistently outperform traditional models, particularly in capturing non-linear relationships and complex interactions among predictive factors. …”
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Comparative Analysis of ARIMA, Prophet, and Glmnet for Long Term Evolution (LTE) Base Station Traffic Forecasting by Tutun Juhana, Hajiar Yuliana, . Hendrawan, . Iskandar, Yasuo Musashi

“…The findings reveal that Glmnet consistently outperforms ARIMA and Prophet across all categories of traffic forecasting on the selected performance metrics. Its ability to handle complex data structures, manage multicollinearity, and deliver robust and accurate predictions makes it the preferred choice for forecasting cellular network traffic in the telecommunications domain.   …”
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Gaseous hydrocarbons absorption by ILs: insights from artificial intelligence strategy by Reyhaneh Alborz, Mohammad Mahmoudnezhad, Alireza Baghban

“…Abstract Accurate prediction of hydrocarbon solubility in ionic liquids (ILs) is essential for optimizing solvent selection and designing efficient chemical processes in industries such as energy production and environmental remediation. …”
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A GD-PSO Algorithm for Smart Transportation Supply Chain ABS Portfolio Optimization by Yingjia Sun, Hongfeng Ren

“…Different from forward selection or linear optimization, which could have low efficiency for complicated problems with large sample size and multiple objectives, new methods and algorithms for NP-hard problems would be necessary to be investigated. …”
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TTG-Text: A Graph-Based Text Representation Framework Enhanced by Typical Testors for Improved Classification by Carlos Sánchez-Antonio, José E. Valdez-Rodríguez, Hiram Calvo

“…By combining symbolic algorithms with graph-based models, this hybrid approach offers a more interpretable, efficient, and high-performing solution for complex NLP tasks.…”
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MG6D: A Deep Fusion Approach for 6D Pose Estimation With Mamba and Graph Convolution Network by Jiaqi Zhu, Bin Li, Xinhua Zhao

“…Accurate and efficient 6D pose estimation is a fundamental technology in many industrial applications. …”
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MICAAL: A Domain-Specific Language for Microservices in Ambient Assisted Living by Wilson Valdez Solis, Priscila Cedillo, Attila Kertesz

“…MICAAL empowers users to design modular, scalable systems by enabling the easy selection and deployment of microservices ensuring that IoT devices in AAL environments are efficiently supported and adaptable to changing needs. …”
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ECONOMIC AND MANAGEMENT ISSUES CONCERNING ARCHAEOLOGICAL SITES: COST ANALYSIS, STUDY OF TOURIST FLOWS AND SUSTAINABILITY PERSPECTIVES FOR THE ARCHAEOLOGICAL PARK OF POMPEII by Gabriel Zuchtriegel, Luigi Petti, Antonio Nesticò, Gabriella Maselli, Vincenzo Calvanese, Anna Onesti, Arianna Spinosa

“…The efficient allocation of the resources available to an archaeological park is particularly important in relation to excavation, restoration and conservation activities. …”
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Density estimation via binless multidimensional integration by Matteo Carli, Alex Rodriguez, Alessandro Laio, Aldo Glielmo

“…The method is tested on a variety of complex synthetic high-dimensional datasets, where it is shown to outperform traditional estimators, and is benchmarked on realistic datasets from the chemical physics literature.…”
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A systematic review of factors influencing green public procurement in higher education institutions by Santosh Bhandari, Myriam Lopes, Sara Moreno Pires

“…Influencing factors related to the organization were the most complex. Furthermore, HEIs should prioritize GPP-related knowledge. …”
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