IoT Network Anomaly Detection in Smart Homes Using Machine Learning by Nadeem Sarwar, Imran Sarwar Bajwa, Muhammad Zunnurain Hussain, Muhammad Ibrahim, Khizra Saleem

“…In this modern age of technology, the Internet of Things has covered all aspects of life including smart situations, smart homes, and smart spaces. …”
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Requalification of patients with severe asthma for biological therapy—Practical ‘ReQuaBi’ rate decision scheme based on the analytical model by Alicja Majos, Anna Ben Drissi, Maciej Kupczyk, Michał Panek

“…Abstract Background Patients with severe asthma experience decreased quality of life due to fixed airway obstruction, hospitalisations and potential fatalities. …”
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Machine learning and clustering for supporting the identification of active landslides at national scale by Camilla Medici, Alessandro Novellino, Claire Dashwood, Silvia Bianchini

“…Landslides are one of the major geohazards causing significant economic damage and loss of life, with impacts expected to increase due to climate change. …”
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Updating parameters of an information model for road construction flow in work development project by T. V. Bobrova

“…A set of mutually integrated domestic software products is presented that provide the formation and support of information models of roads in the life cycle process. It has been established that the transition from traditional simulation modelling of building flows to information modelling of flow systems requires a detailed analysis of the lower elements of the flow structure. …”
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Integration of mitochondrial gene expression and immune landscape in acute kidney injury prediction by Xiaoping Xia, Renyang Liu, Xiaohui Jiang

“…Background Acute kidney injury (AKI) is a life-threatening condition with limited early biomarkers. …”
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Optimized deep residual networks for early detection of myocardial infarction from ECG signals by Pon Bharathi A, Madavan R, Sakthivel E

“…MI is considered as a life-threatening disease, which leads to an increase number of deaths or damage to the heart, and hence, prompt detection of MI is critical to decrease the mortality rate. …”
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Anvil–radiation diurnal interaction: shortwave radiative-heating destabilization driving the diurnal variation of convective anvil outflow and its modulation on the radiative cance... by Z. Wang

“…Convective organizations and life stages are derived from the images of infrared brightness temperature (BT) of geostationary (GEO) satellites based on a variable-BT segment-tracking algorithm, which allows the possibility for quantifying the convective anvil outflow. …”
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Hospital-onset bacteraemia and fungaemia as a novel automated surveillance indicator: results from four European university hospitals, 2018 to 2022 by the PRAISE-HOB working group

“…Fully automated surveillance of hospital-onset bacteraemia and fungaemia (HOB) may facilitate hospital-wide surveillance. AIM To develop an algorithm and minimal dataset (MDS) required for automated surveillance of HOB and apply it to real-life routine data in four European hospitals METHODS Through consensus discussion, a HOB definition with MDS suitable for automated surveillance was developed and applied in a retrospective multicentre observational study including all adult patients admitted to hospitals in the Netherlands, Germany, Sweden and Switzerland (2018–22). …”
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Preoperative predictors of thrombosis in children with congenital heart disease by V. A. Lastovka, R. F. Tepaev, O. B. Gordeeva, A. R. Bidzhiev, A. A. Chotchaeva

“…The use of parameters of plasma hemostasis as predictors of thrombosis in the algorithm for diagnosing hemocoagulation disorders in children of the first year of life undergoing surgery for congenital heart defects has been substantiated. …”
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A standardized criteria-based progressive shoulder exercise program is effective in managing rotator cuff-related shoulder pain: A prospective cohort study. by Judy Chepeha, Anelise Silveira, David Sheps, Charlene Luciak-Corea, Fiona Styles-Tripp, Lauren Beaupre

“…Secondary measures were active range of motion (ROM), strength, and health related quality of life (HRQL) using the Western Ontario Rotator Cuff (WORC) score.…”
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Integrated Optimization of Emergency Evacuation Routing for Dam Failure-Induced Flooding: A Coupled Flood–Road Network Modeling Approach by Gaoxiang An, Zhuo Wang, Meixian Qu, Shaohua Hu

“…Based on this model, a flood evacuation route planning method was proposed using Dijkstra’s algorithm. This methodology was validated through a case study of the Shanmei Reservoir in Fujian, China. …”
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Harmonic Analysis of Radial Distribution Systems Embedded Shunt Capacitors by Abdallah Elsherif, Tamer Fetouh, Hasan Shaaban

“…As harmonics propagate through a system, they result in increased power losses and possible equipment loss-of-life. Further equipments might be damaged by overloads resulting from resonant amplifications. …”
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Mechanistic insights into synergistic effects using coupled PK-PD modeling by Jinzhou Sun, Qianqian Chen, Chumeng Zhuang, Xiaohong Li, Li Yu, Weifeng Jin

“…The proposed coupled PK-PD model and its numerical solution algorithm successfully revealed the synergistic effects of HSYA and CA in the treatment of ischemic stroke. …”
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Using Machine Learning to Identify the Dynamic Evolution Patterns of Negative Emotions in Perinatal Women: A Longitudinal Study in Southwest China by Yuan Zhang, Wenlong Li, Jian Zou, Guohui Yang, Xiaoni Zhong, Biao Xie

“…ABSTRACT Paying attention to the mental health of perinatal women is helpful in improving their quality of life. However, the existing research pays less attention to the heterogeneity of its negative emotional trajectory and the identification of high‐risk groups. …”
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Design Optimization of Compliant Mechanisms for Vibration- Assisted Machining Applications Using a Hybrid Six Sigma, RSM-FEM, and NSGA-II Approach by Huy-Tuan Pham, Van-Khien Nguyen, Quang-Khoa Dang, Thi Van Anh Duong, Duc-Thong Nguyen, Thanh-Vu Phan

“…Vibration-assisted machining, a hybrid processing method, has been gaining considerable interest recently due to its advantages, such as increasing material removal rate, enhancing surface quality, reducing cutting forces and tool wear, improving tool life, or minimizing burr formation. Special equipment must be designed to integrate the additional vibration energy into the traditional system to exploit those spectacular characteristics. …”
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A multi objective optimization framework for smart parking using digital twin pareto front MDP and PSO for smart cities by Dinesh Sahu, Priyanshu Sinha, Shiv Prakash, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang

“…Evaluation outcomes also show that the proposed algorithm is better than Round Robin, Random Allocation, and Threshold Based algorithms in terms of 25% improvement in the search time, 18% better energy usage, and 30% less traffic congestion. …”
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Real-Time Postural Disturbance Detection Through Sensor Fusion of EEG and Motion Data Using Machine Learning by Zhuo Wang, Avia Noah, Valentina Graci, Emily A. Keshner, Madeline Griffith, Thomas Seacrist, John Burns, Ohad Gal, Allon Guez

“…Additionally, a real-time algorithm was developed to integrate the EEG and accelerometer data, which enabled accurate fall detection in under 400 ms and achieved an over 99% accuracy in detecting unexpected falls. …”
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High dietary live microbe intake associated with reduced depressive symptoms in gastrointestinal disease patients: findings from a cross-sectional study by Cheng Zhang, Ming-Hui Ma, Ke Li, Shu-Ning Xu, Ying Liu

“…Abstract Background Depression and gastrointestinal disease are prevalent conditions that often coexist, significantly impacting daily life and productivity. Recent studies suggest a potential link between the intake of dietary live microbe and the alleviation of depressive symptoms. …”
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Automated Scan-vs-BIM Registration Using Columns Segmented by Deep Learning for Construction Progress Monitoring by G. Z. Tsige, B. S. A. Alsadik, S. Oude Elberink, M. Bassier

“…Experiments are carried out on real-life datasets from the building construction site to validate the proposed method. …”
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OPACITY INFLUENCED INCONSTANT METHOD FOR 3D HOLOGRAPHIC PYRAMID RENDERING by Sarah َQahtan Mohammed Salih, Puteri Suhaiza Sulaiman, Abdul Sattar Arif Khammas, Ramlan Mahmod, Rahmita Wirza O.K. Rahmat

“…The rapid growth of computer graphics in human daily life has inspired researchers to maximize image understanding and discover new methods for visualizing 3D objects. …”
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