GUIDELINES ON ARTERIAL HYPERTENSION MANAGEMENT OF THE EUROPEAN SOCIETY OF CARDIOLOGY AND EUROPEAN SOCIETY OF HYPERTENSION 2018: WHAT’S NEW? by A. A. Klimenko, D. A. Anichkov, N. A. Demidova

“…The latest guidelines contain simplified algorithms for management of patients with AH. It is shown that in most patients, a preference should be made for combinations of renin-angiotensin-aldosterone system blocker (inhibitors of angiotensin-converting enzyme or angiotensin II receptor blockers) with a slow calcium channels blocker and/or thiazide/thiazide-like diuretic. …”
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Spatio-Temporal Aware Collaborative Service Ranking Prediction in IoT-Enabled Edge Computing by Yuze Huang, Xiao Chen, Wenhui Zhang, Qianxi Li, He Li

“…The results demonstrate that our approach achieves higher accuracy in prediction compared to other baseline algorithms.…”
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Machine learning-based approach for bandwidth and frequency prediction of circular SIW antenna by Md Mahabub Alam, Nurhafizah Abu Talip Yusof, Ahmad Afif Mohd Faudzi, Md Raihanul Islam Tomal, Md Ershadul Haque, Md. Suaibur Rahman

“…A predictive ML framework was developed using six regression algorithms trained on significant geometrical parameters, such as ring slot radius, via diameter, and feedline width. …”
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Fusion of microscopic and diffraction images with VGG net for budding yeast recognition in imaging flow cytometry by Yangguang Han, Qifeng Li, Pengpeng Sun, Xiangyun Ma, Yunpeng Yang, Ning Zhang, Jingwen Feng, Yu Sa

“…To address this, we propose a novel approach that integrates image fusion techniques with a deep learning-based classification algorithm. Using budding yeast recognition as a model system, we categorized events into three groups: single cells, budding cells, and aggregated cells. …”
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A framework for predicting zoonotic hosts using pseudo-absences: the case of Echinococcus multilocularis by Andrea Simoncini, Dimitri Giunchi, Marta Marcucci, Alessandro Massolo

“…The workflow demonstrates promise for application to other host-parasite systems with unknown host ranges.…”
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PENC: a predictive-estimative nonlinear control framework for robust target tracking of fixed-wing UAVs in complex urban environments by Shiji Hai, Xitai Na, Zhihui Feng, Jinshuo Shi, Qingbin Sun

“…This necessitates tracking algorithms capable of both target state estimation and prediction. …”
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AE-BPNN: autoencoder and backpropagation neural network-based model for lithium-ion battery state of health estimation by Abdullah Ahmed Al-Dulaimi, Muhammet Tahir Guneser, Raghad Al-Shabandar, Yeonghyeon Gu, Muhammad Syafrudin, Norma Latif Fitriyani

“…Abstract Lithium-ion (Li-ion) batteries play a crucial role in modern energy storage systems, with their performance and longevity heavily dependent on accurately assessing their State of Health (SOH). …”
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Balancing complexity and accuracy for defect detection on filters with an improved RT-DETR by Maoyuan Zhang, Xiaojuan Wei, Guojun Liu, Mengxu Chen, Chunxia Zhao, Yingxiao Liu, Zhikang Bao, Yunfeng Guo, Run An, Pengcheng Zhao

“…Abstract Filters are critical components in automotive engine systems, responsible for maintaining stable operation by removing impurities from liquids and gases. …”
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Flexible Interconnection Device Planning of Low-Voltage Distribution Station Areas Based on Improved Supply Capability Indicators by ZHANG Rui, LIU Hengchao, ZHANG Guoju, GE Xuefeng, YU Miao

“…Next，a flexible interconnection device planning framework considering the improvement of supply capability，economy，and load transfer constraints under distribution network reconfiguration is established and solved based on the non-dominated sorting genetic algorithms-II. [Results] The results of the case study of the IEEE 14 bus system with contact switches show that the planning model based on the proposed indicators can effectively improve the supply capability of the distribution network under actual load distribution. …”
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Radiofrequency Technologies of Local Positioning in Healthcare by D. S. Bragin, I. V. Pospelova, I. V. Cherepanova, V. N. Serebryakova

“…Using indoor-positioning technologies as a part of telemedicine systems allows one to improve the quality of medical care and to reduce mortality of patients. …”
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Morality on the road: the ADC model in low-stakes traffic vignettes by Michael Pflanzer, Dario Cecchini, Sam Cacace, Veljko Dubljević

“…Our work creates a foundation for stakeholders to integrate human moral judgments into AV decision-making algorithms. Future research should build on these findings by including a more diverse range of participants and exploring the generalizability of the ADC model across different cultural contexts.…”
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Network intrusion detection based on relative mutual K-nearest neighbor density peak clustering by Chunhua Ren, Changyuan Wang, Yang Yu, Wanan Yang, Ruiqi Guo

“…The application of traditional clustering algorithms in intrusion detection usually relies on a preset number of clusters. …”
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Advanced Multiplier Architecture Optimization for Accelerated Arithmetic Operations and its Integration in Wireless Sensor Network Applications by Nirmal Kumar R., Valarmathi R. S., Kalamani M.

“…OMA-WSN combines RTSBA, Booth Multiplier, and Binary Common Sub-Expression Elimination (BCS2E) algorithms for a new viewpoint. This system's architecture implements efficient computation methods that minimize logic levels and propagation delays. …”
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Multi-objective optimization of cushion gas design in underground gas storage using machine learning by Mohaddeseh Ahmadi Aghdam, Maryam Fazaeli, Mahdi Kanaani, Behnam Sedaee

“…This model enabled rapid multi-objective optimization using the MOPSO algorithm. Several Pareto fronts were generated, and the best front provided 500 optimal solutions after 300 iterations. …”
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A novel ensemble of hybrid starling murmuration optimized stacked gated Ghostnets for robust classification of DDoS attacks by P. Mamatha, S. Balaji, S. Sai Anuraghav

“…Due to hostile user techniques and the complexity of DDoS, advanced defensive measures are mandatorily required. As the algorithms of Artificial Intelligence (AI) serves as a key factor in developing the the intelligent intrusion detection systems which accurately differentiates the known and unknown attacks. …”
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Development of Advanced Positioning Techniques of UWB/Wi-Fi RTT Ranging for Personal Mobility Applications by Harris Perakis, Vassilis Gikas, Günther Retscher

“…An analysis of the performance of these techniques for ranging the positioning estimation using different fusion algorithms is assessed. The methodology applied for CP leverages the hybrid nature of the range measurements obtained by UWB and Wi-Fi RTT systems. …”
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Observer of changes in the forest of the shortest paths on dynamic graphs of transport networks by N. V. Khajynova, M. P. Revotjuk, L. Y. Shilin

“…The purpose of the work is the development of basic data structures, speed-efficient and memoryefficient algorithms for tracking changes in predefined decisions about sets of shortest paths on transport networks, notifications about which are received by autonomous coordinated transport agents with centralized or collective control. …”
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Adaptación de un Recomendador de Filtro Colaborativo Basado en el Usuario para la Creación de un Recomendador de Materias de Pregrado Basado en el Historial Académico de los Estudi... by J. Del Pino, G. Salazar, V. Cedeño

“…Abstract Recommender Systems are nowadays broadly used thanks to their potential on analyzing user preferences and suggesting items to them. …”
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Robust zero-watermarking for color images using hybrid deep learning models and encryption by Hager A. Gharib, Noha M. M. Abdelnapi, Khalid M. Hosny

“…Furthermore, a chaotic encryption scheme based on the Lorenz system and the Logistic map is used to scramble the feature matrix and watermark, thereby ensuring increased security. …”
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Optimizing ensemble learning for satellite-based multi-hazard monitoring and susceptibility assessment of landslides, land subsidence, floods, and wildfires by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Farman Ali, Biswajeet Pradhan, Soo-Mi Choi

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