Are Selective Serotonin Reuptake Inhibitors a Secondary Cause of Low Bone Density? by Kim Chau, Stephanie A. Atkinson, Valerie H. Taylor

“…Additional longitudinal studies and further research on possible mechanisms surrounding the association between SSRI use on bone metabolism need to be conducted. Treatment algorithms need to recognize this association to ensure that vulnerable populations are screened.…”
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Guidance Navigation and Control for Autonomous Multiple Spacecraft Assembly: Analysis and Experimentation by Riccardo Bevilacqua, Marcello Romano, Fabio Curti, Andrew P. Caprari, Veronica Pellegrini

“…Each spacecraft runs symmetric algorithms. The relative navigation is based on augmenting the target's state vector by introducing, as extra state components, the target's control inputs. …”
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Distortion Optimized Packet Scheduling and Prioritization of Multiple Video Streams over 802.11e Networks by Ilias Politis, Michail Tsagkaropoulos, Thomas Pliakas, Tasos Dagiuklas

“…Two intelligent scheduling algorithms are proposed: the “even-loss distribution,” where each video sender is experiencing the same loss and the “greedy-loss distribution” packet scheduling, where selected packets are dropped over all streams, ensuring that the most significant video stream in terms of picture context and quality characteristics will experience minimum losses. …”
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Identifying Safeguards Disabled by Epstein-Barr Virus Infections in Genomes From Patients With Breast Cancer: Chromosomal Bioinformatics Analysis by Bernard Friedenson

“…MethodsPublicly available genome data from approximately 2100 breast cancers and 25 ovarian cancers were compared to cancers with proven associations to EBV, including 70 nasopharyngeal cancers, 90 Burkitt lymphomas, 88 diffuse large B-cell lymphomas, and 34 gastric cancers. Calculation algorithms to make these comparisons were developed. …”
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Optimization of Toolpath Planning and CNC Machine Performance in Time-Efficient Machining by Arbnor Pajaziti, Orlat Tafilaj, Afrim Gjelaj, Besart Berisha

“…We propose a method that integrates advanced algorithms to identify and eliminate redundant movements, optimize the toolpaths, and improve the machining strategies. …”
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Climatology of Total Cloudiness in the Arctic: An Intercomparison of Observations and Reanalyses by Alexander Chernokulsky, Igor I. Mokhov

“…The main reason for the discrepancies among observations is the difference in the cloud-detection algorithms, especially when clouds are detected over the ice/snow surface (during the whole year) or over the regions with the presence of strong low-tropospheric temperature inversions (mostly in winter). …”
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Action Recognition in Basketball with Inertial Measurement Unit-Supported Vest by Hamza Sonalcan, Enes Bilen, Bahar Ateş, Ahmet Çağdaş Seçkin

“…Among these, the XGBoost algorithm with a window size of 250 and a 75% overlap yielded the highest accuracy of 96.6%. …”
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Microservice-Based Platform for Space Situational Awareness Data Analytics by Wanjie Lu, Qing Xu, Chaozhen Lan, Liang Lyu, Yang Zhou, Qunshan Shi, Yinghao Zhao

“…The results show that this platform can provide a convenient, flexible, and efficient platform for the requirements of algorithm integration, experiment, and data display from users and researchers.…”
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A Data Mining-Based Model for Evaluating Tennis Players’ Training Movements by Hang Chen

“…This paper uses data mining technology to mathematically model the training movements of tennis players, establish a three-dimensional data information database of athletes utilizing depth imaging, analyze the data with data mining algorithms, and derive the results after comparative evaluation and analysis with a database of movement characteristics of tennis dribblers. …”
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Analysis of Acoustic Signals of Footsteps from the Piezoelectric Sensor by Bilge Çiğdem Çiftçi, Gamze Kaya, Mustafa Kurt

“…The source of the acoustic signal can be determined by matching it with the existing database using machine learning algorithms like face recognition systems for future goals.…”
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Smart HVAC Control in IoT: Energy Consumption Minimization with User Comfort Constraints by Jordi Serra, David Pubill, Angelos Antonopoulos, Christos Verikoukis

“…In particular, the user may decide remotely the temperature of comfort, while the temperature and energy consumption information is sent through Internet and displayed at the end user’s device. The proposed algorithms have been implemented in a real testbed, highlighting the potential gains that can be achieved in terms of both energy and cost.…”
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Prediction of Concrete Compressive Strength Based on the BP Neural Network Optimized by Random Forest and ISSA by Gang Chen, Donglin Zhu, Xiao Wang, Changjun Zhou, Xiangyu Chen

“…Therefore, a prediction model based on the BPNN optimized by improved sparrow search algorithm (ISSA) and random forest (RF) is proposed to enhance the generalization ability and prediction accuracy of BPNN for compressive strength of concrete. …”
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An Improved Stochastic Configuration Networks With Compact Structure and Parameter Adaptation by Sanyi Li, Hongyu Guan, Peng Liu, Weichao Yue, Qian Wang

“…In addition, experimental results using baseline datasets and UCI databases show that the number of nodes required for oscn is reduced by approximately 50% and the computation time is reduced by approximately 40% compared to traditional algorithms.…”
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Bus Priority Signal Control Considering Delays of Passengers and Pedestrians of Adjacent Intersections by Jiali Li, Yugang Liu, Hongtai Yang, Bin Chen

“…Secondly, models with the goal of maximizing the reduced total delays are established. Thirdly, three algorithms are used to solve the problem to obtain the optimal signal timing adjustment scheme at upstream intersections. …”
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Constructing Better Classifier Ensemble Based on Weighted Accuracy and Diversity Measure by Xiaodong Zeng, Derek F. Wong, Lidia S. Chao

“…The measure is compared to two representative measures, Kappa-Error and GenDiv, and two threshold measures that consider only accuracy or diversity, with two heuristic search algorithms, genetic algorithm, and forward hill-climbing algorithm, in ensemble selection tasks performed on 15 UCI benchmark datasets. …”
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Intelligent Sensor for Measurement Systems with Sinusoidal Excitation Response by U. A. Mikitsevich, A. I. Svistun, A. V. Samarina, K. U. Pantsialeyeu, A. L. Zharin

“…The aim of the work was to develop the optimal architecture and algorithms for the operation of intelligent sensors intended for use in measuring systems operating according to the sinusoidal excitation – response scheme.This paper describes the approach proposed by the authors to the construction of intelligent sensors based on modern microcontrollers, the distinctive feature of which is the continuous generation of sinusoidal excitation and reading responses in the background, as well as setting the readiness flags for data processing in the main process of the microprocessor, which ensures uninterrupted execution of background processes, the main of which is the generation of a sinusoidal excitatory action.This approach has been tested in the development of charge-sensitive surface mapping systems, such as the Kelvin probe based on a vibrating capacitor, and the surface photo voltage probe for the case of semiconductors.…”
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Channel Shortening-Based Single-Carrier Underwater Acoustic Communications in Impulsive Environment by Xingbin Tu, Zicheng Li, Yan Wei, Fengzhong Qu

“…Experimental results indicate that the proposed algorithm reduces click signal energy and significantly improves receiver performance compared to traditional DDFE algorithms. …”
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Information-Fusion Methods Based Simultaneous Localization and Mapping for Robot Adapting to Search and Rescue Postdisaster Environments by Hongling Wang, Chengjin Zhang, Yong Song, Bao Pang

“…The novel integration particle filter (IPF) and optimal improved EKF (IEKF) algorithms are derived for information-fusion systems to perform SLAM task in SAR scenarios. …”
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EVOLUTIONARY MULTITASKING: A NEW OPTIMIZATION TECHNIQUE by Lại Thị Nhung, Nguyễn Thị Hòa, Phạm Văn Hạnh, Lê Đăng Nguyên, Lê Trọng Vĩnh

“…In the last decades, evolutionary algorithms (EAs) have been successfully applied to solve various optimization problems in science and technology. …”
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Predictors of evacuation behavior: dataset on respondents’ route choice and web interaction by Dajana Snopková, Martin Tancoš, Lukáš Herman, Vojtěch Juřík

“…Abstract Empirical data on human evacuation behavior are invaluable for adjusting and training computational algorithms that simulate evacuation processes, including agent-based modeling. …”
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