Implementation of Building Information Modeling (BIM) Using Hybrid Z-DEMATEL-ISM Approach by Ali RezaHoseini, Elmira Ahmadi, Pantea Saremi, Morteza BagherPour

“…For closeness to the real-world, Z-number (an ordered pair of fuzzy numbers, where the first component controls on a fuzzy variable, and the second component is a measure of reliability for the fuzzy component) is also used to consider the expert’s mental uncertainties in the final results. …”
Get full text

A New Construction Method for Rectangular Cartograms by Lina Wang, Haoxun Yuan, Xiang Li, Pengfei Lu, Yaru Li

“…Finally, by comparing the results of our algorithm with those of existing algorithms using real-world data with varying distribution characteristics, we demonstrate its effectiveness. …”
Get full text

Advanced Fraud Detection: Leveraging K-SMOTEENN and Stacking Ensemble to Tackle Data Imbalance and Extract Insights by Nurafni Damanik, Chuan-Ming Liu

“…Additionally, the stacking ensemble’s integration of diverse classifiers produces a generalized decision boundary, enhancing model robustness in real-world scenarios. This ensures a precise fraud detection mechanism without compromising sensitivity. …”
Get full text

Analysis and Simulation of Intervention Strategies against Bus Bunching by means of an Empirical Agent-Based Model by Wei Liang Quek, Ning Ning Chung, Vee-Liem Saw, Lock Yue Chew

“…Our EMB model is generic and can be applied to any real-world bus network system. In particular, we have validated the model against the Nanyang Technological University’s Shuttle Bus System by demonstrating its accuracy in capturing the bunching dynamics of the shuttle buses. …”
Get full text

Revolutionizing Supply Chains: Unleashing the Power of AI-Driven Intelligent Automation and Real-Time Information Flow by Mohammad Shamsuddoha, Eijaz Ahmed Khan, Md Maruf Hossan Chowdhury, Tasnuba Nasir

“…This paper identifies critical success factors and challenges in adopting intelligent automation by analyzing real-world industry implementations. The findings will propose a strategic framework for organizations aiming to leverage AI to achieve operational excellence, agility, and real-time information flow for effective decision-making.…”
Get full text

Long-term results of invasive and non-invasive treatment strategies in the elderly patients with acute coronary syndrome by R.R. Komorovsky

“…The aim – to evaluate long-term outcomes of conservative (optimised medical therapy) versus revascularization strategy of elderly patients with acute coronary syndrome in a real world practice. Materials and methods. Prospective analysis of event-free survival of 113 consecutive patients with acute coronary syndrome aged ≥ 70 years. …”
Get full text

Intelligent Segment Routing: Toward Load Balancing with Limited Control Overheads by Shu Yang, Ruiyu Chen, Laizhong Cui, Xiaolei Chang

“…Finally, we evaluate the IRTE in different real-world topologies, and the results show that the IRTE outperforms traditional algorithms, e.g., the maximum bandwidth is 24.6% lower than that of traditional algorithms when evaluating on BellCanada topology.…”
Get full text

A Formal Approach to Road Safety Assessment Using Traffic Conflict Techniques by Oumaima Barhoumi, Mohamed H. Zaki, Sofiene Tahar

“…By highlighting these findings, we aim to provide valuable insights into the real-world applicability of formal methods for traffic safety and their potential in promoting safer driving practices that can help create reliable autonomous vehicle control systems.…”
Get full text

New blocked all-pairs shortest paths algorithms operating on blocks of unequal sizes by A. A. Prihozhy, O. N. Karasik

“…In real-world networks, many problems imply finding the All-Pairs Shortest Paths (APSP) and their distances in a graph. …”
Get full text

Risk Assessment of Renewable Energy Power Systems via Graph Multi-Attention Networks by BAI Yunpeng, ZHANG Zhiyan, XU Cai, GUO Chuangxin, LIU Zhuping, ZHU Wenhao

“…Results，derived from integrating real-world data from a provincial power grid in China with that of the electrical power simulation system，demonstrate that the attention-based graph neural network method approach substantially improves the robustness and efficiency of risk assessments compared to other artificial intelligence methods. …”
Get full text

A survey on intrusion detection system in IoT networks by Md Mahbubur Rahman, Shaharia Al Shakil, Mizanur Rahman Mustakim

“…Standardized evaluation metrics and real-world testing are stressed to ensure reliability. …”
Get full text

Enhanced analysis of tabular data through Multi-representation DeepInsight by Alok Sharma, Yosvany López, Shangru Jia, Artem Lysenko, Keith A. Boroevich, Tatsuhiko Tsunoda

“…While traditional machine learning methods can be used for feature engineering and dimensionality reduction, they often struggle to capture the intricate relationships and dependencies within real-world datasets. In this paper, we present Multi-representation DeepInsight (MRep-DeepInsight), a novel extension of the DeepInsight method designed to enhance the analysis of tabular data. …”
Get full text

Social network user geolocating method based on weighted least squares by Wenqi SHI, Xiangyang LUO, Jiashan GUO

“…When providing location-based dating and other location-based services, social networks will confuse the displayed user distance text to protect the user’s location privacy.In order to verify whether the current location confusion mechanism adopted by social networks can effectively protect user’s accurate location, a social network user geolocating method based on weighted least squares was proposed.The method constructed real-world tests to collect a large number of confused distance texts in location dating service, and identified the real distance boundary of reported distance combined with real distance data.Then, based on the discrimination of the quadrant of the coordinate system where the target user was located, the position of probes was optimally deployed, and multiple preliminary position estimations of the target user were obtained by using the trilateration model.The weights of the longest and the shortest distance of the target user were determined by the estimated position, and the related objective function was constructed.The optimal solution of the objective function was calculated based on the weighted least squares, which was the final geolocating result of the target user.The proposed method inferred the location of social network user based on the distance boundary constraint, which avoided the frequent query of location services and ensured the geolocating efficiency.The actual geolocating results based on 500 WeChat users showed that, the proposed method can accurately geolocate the “eople nearby” users of WeChat.Compared with the existing typical geolocating methods based on space partition and heuristic number theory, the proposed method have better performance in geolocating accuracy and efficiency.The average geolocating error is reduced by more than 10%, and the number of location service quarries in the geolocating process is reduced by more than 50%.…”
Get full text

Integration of social work into specialist palliative home service by Janice Lee Wartchow, Stefan Bär, Bernd Alt-Epping, Christina Gerlach

“…Possible barriers against the integration of SW within the real-world clinical practice of palliative care should be further investigated in future studies by involving social workers’ and healthcare managers’ experiences and strategies to understand why the employment of social workers in SAPV is progressing slowly and inform strategies to enhance their integration.…”
Get full text

Intelligent energy management in IoT-enabled smart homes: Anomaly detection and consumption prediction for energy-efficient usage by Laviza Falak Naz, Rohail Qamar, Raheela Asif, Saman Hina, Muhammad Imran, Saad Ahmed

“…We propose a novel approach that combines the advantages of the Autoregressive Integrated Moving Average (ARIMA) and Long Short-Term Memory (LSTM) models for accurate consumption forecasting. Real-world data from a smart home setting is utilised to evaluate the proposed models. …”
Get full text

Prevalence, Demographics, and Treatment Characteristics of Visual Impairment due to Diabetic Macular Edema in a Representative Canadian Cohort by Robert J. Petrella, Julie Blouin, Brian Davies, Martin Barbeau

“…This observational, retrospective study used records from the Southwestern Ontario database to observe the demographics, prevalence, and treatment characteristics of VI due to DME compared to a healthy population in a real-world Canadian setting. Data was compared between a cohort of 8,368 diabetic (type 1 or 2) patients, who were ≥18 years old and had a diagnosis of DME with VI (visual acuity <20/40 in Snellen equivalent), and 76,077 age- and gender-matched subjects representing a healthy population. …”
Get full text

Robust Consensus Tracking Control for Multi-Unmanned-Aerial-Vehicle (UAV) System Subjected to Measurement Noise and External Disturbance by Zhiyuan Zheng, Shiji Tong, Erquan Wang, Yang Zhu, Jinliang Shao

“…Finally, the validity of the proposed control framework is verified by both simulation and comparative real-world experiments.…”
Get full text

Bolt Loosening Detection Method Based on Improved YOLOv8 and Image Matching by Peihe Jiang, Yuhang Geng, Zhongqi Sang, Lifeng Lin

“…Subsequently, experiments conducted in real-world scenarios confirmed the accuracy and feasibility of the proposed algorithm.…”
Get full text

Reinforced Cost-Sensitive Graph Network for Detecting Fraud Leaders in Telecom Fraud by Peiwen Gao, Zhihua Li, Dibin Zhou, Liang Zhang

“…Experimental results on extensive real-world datasets demonstrate the effectiveness of RCGN, as it outperforms state-of-the-art GNN and GNN-based fraud detection models.…”
Get full text

Reporting and representation of participant race and ethnicity in phase III clinical trials for solid tumors by Tianyi Wang, Dinorah J Villanueva, Ambily Banerjee, Dina Gifkins

“…To enhance diversity, real-world data are warranted to identify recruitment goals by better assessing the geographic distribution within the patient population.…”
Get full text