Q-learning based handoff algorithm for satellite system with ancillary terrestrial component by Dan-ni XIONG, Yi LI

“…,mobile satellite system with ancillary terres-trial component (MSS-ATC),the long transmission delay of satellite link was a huge challenge which may lead to high handoff dropping probability.In order to address this problem,a novel handoff decision strategy was proposed based on the predictive RSS and Q-learning algorithm.Extensive simulation results demonstrate that the proposed scheme can de-crease the handoff dropping probability,reduce the unnecessary handoff times and maximize the network reward.In ad-dition,the proposed scheme can also adapt to the situation of high-speed movement very well.…”
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Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms by Zehra Koyuncu, Ömer Ekmekcioğlu

“…The main objective of the current study is to generate a flood hazard map by using the machine learning algorithms hybridized with the geographic information systems (GIS). …”
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Unsustainable artificial intelligence and algorithmically facilitated emissions: The case for emissions-reduction-by-design by Jutta Haider, Malte Rödl, James White

“…They discursively turn issues into commodities, thereby incentivising unsustainable mass consumption and high-carbon lifestyles. A main argument advanced in the article is that algorithmic and environmental harms are inextricably linked, but neither research nor policy has the terminology to discuss and address this. …”
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3-D Packing in Container using Teaching Learning Based Optimization Algorithm by Linda Fitriyani, Larissa Alva Zerinda, Asri Bekti Pratiwi, Edi Winarko

“… The paper aims to propose Teaching Learning based Optimization (TLBO) algorithm to solve 3-D packing problem in containers. …”
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Determination of sugar in tangerines by fluorescence with an Improved partial least squares (PLS) algorithm by Lei Liu, Chunzhong Li, Haiyi Bian, Ahmed N Abdalla, Hua Yao, Wen Li

“…The training dataset was evaluated using cross-validation, and F -values were computed to determine how many main components should be utilized to build the model. …”
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Use of Diagnostic Algorithms for *NTRK* Fusion-Positive Tumors in Pathology Institutes in Switzerland by Holger Moch, Gieri Cathomas, Milo Frattini, Wolfram Jochum, Erik Vassella, Laurence de Leval, Joachim Diebold, Christian Britschgi, Thomas McKee, Lukas Bubendorf

“…In May 2020, larotrectinib (Vitrakvi^®^) was approved as the first tumor-agnostic agent in Switzerland for the treatment of adult and pediatric patients with solid tumors that have a neurotrophic tyrosine receptor kinase (*NTRK*) gene fusion. …”
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An Efficient Coupled Genetic Algorithm-NLP Method for Heat Exchanger Network Synthesis

“…Results show that this method may find new or near optimal solutions with a less than 2% increase in Hen annual costs.…”
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Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives by Simarjeet Kaur, Jimmy Singla, Lewis Nkenyereye, Sudan Jha, Deepak Prashar, Gyanendra Prasad Joshi, Shaker El-Sappagh, Md. Saiful Islam, S. M. Riazul Islam

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OSFS‐Vague: Online streaming feature selection algorithm based on vague set by Jie Yang, Zhijun Wang, Guoyin Wang, Yanmin Liu, Yi He, Di Wu

“…To make up for the existing shortcomings, the authors propose a novel OSFS algorithm based on vague set, named OSFS‐Vague. Its main idea is to combine uncertainty and three‐way decision theories to improve feature selection from the traditional dichotomous method to the trichotomous method. …”
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A Systematic Review of Mind Maps, STEM Education, Algorithmic and Procedural Learning by Chrysovalantis Kefalis, Constantine Skordoulis, Athanasios Drigas

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DEVELOPMENT OF THE SOCIAL TENSION RISK PREDICTING ALGORITHM IN THE POPULATION OF CERTAIN REGIONS OF RUSSIA by A. B. Mulik, B. I. Kochurov, V. N. Bodrova, G. V. Antonov, I. V. Ulesikova, N. O. Nazarov, Yu. A. Shatyr

“…The possibility of the application for the level of general nonspecific reactivity of an organism as a phenotypic trait marker of social tension risk is identified. An algorithm for predicting the risk of social tension among the population, compactly living in certain territories of the Russian Federation is designed.…”
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High-Performance YOLOv5s: Traffic Sign Detection Algorithm for Small Target by Mengxia Hu, Shengwen Pi, Jinying Zhou, Xinming Wan, Qiaoshou Liu

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Ground Segmentation Algorithm for Sloped Terrain and Sparse LiDAR Point Cloud by Victor Jimenez, Jorge Godoy, Antonio Artunedo, Jorge Villagra

“…This article presents a strategy for ground segmentation in LiDAR point clouds composed by two main steps: (i) First, an initial classification is performed dividing the points in small groups and analyzing geometric features between them. …”
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Problems of Algorithms Development to Determine Quality of Topic Models Ensembles for Make Rubricators by A. P. Shiryaev, A. R. Fedorov, P. A. Fedorov, L. G. Gagarina, E. M. Portnov

“…This article describes the usage of a voting algorithm, which is based on a group of different evaluation algorithms. …”
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Crop Monitoring System Using IoT, Solar Energy and Decision Tree Algorithm by Ricardo Yauri, Luis Cuyubamba, Stefano Nuñez

“…This paper aims to design an Internet of Things-based monitoring system where the specific objectives are focused on building a solar-powered power stage and integrating machine learning algorithms to help determine crop health. The development methodology includes the evaluation of the use of sensors to measure environmental and soil temperature and humidity, precipitation and hydrogen potential to help identify the health status of crops using machine learning algorithms (decision trees) and transmit the information to a Blynk real-time visualization server. …”
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Design of digital low-carbon system for smart buildings based on PPO algorithm by Yaohuan Wu, Nan Xie

“…A smart building digital low-carbon new system based on proximal policy optimization algorithm is proposed in the research. The new system uses a near-end strategy optimization algorithm to control the energy changes of buildings, and adds an actor-critic algorithm to enhance the evaluation and analysis ability of system strategies. …”
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Coverage compensation algorithm based on vector algebra in hybrid wireless sensor networks by Ning-ning QIN, Li-xia GUO, Bao-guo XU

“…Aiming at the phenomenon that coverage holes caused by energy depletion coexisted with remaining energy of dormant redundant nodes in hybrid wireless sensor networks(WSN),a coverage compensation algorithm based on vector algebra to repair coverage hole with redundant nodes was presented.This algorithm included both the respective dis-placement amount calculation method of all the redundant nodes which may be involved in compensation and policies of the choice of the best redundant nodes that were selected by hole boundary node on the basis of balancing the remaining energy of nodes.The result shows that this algorithm makes full of energy resources in the premise of complete coverage to repair coverage hole,and has a better performance in both movement distance and movement cost compared with ex-isting COA algorithm.…”
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Weighted Energy-Balanced Efficient Routing Algorithm for Wireless Body Area Network by Zhuoming Li, Zhenyu Xu, Shengge Mao, Xing Tong, Xuejun Sha

“…The routing algorithm proposed in this paper may be potentially applied to significantly save energy of multiple types of sensors during vital signals aggregating and transmitting under the WBAN.…”
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Vibration Control of Buildings Using Magnetorheological Damper: A New Control Algorithm by Aly Mousaad Aly

“…The new controller achieved the best reduction in maximum interstory drifts and maximum absolute accelerations over all the control algorithms presented. This reveals that the proposed controller with the MR damper is promising and may provide the best protection to the building and its contents.…”
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Research on multi-UAV energy consumption optimization algorithm for cellular-connected network by Jingming XIA, Yufeng LIU, Ling TAN

“…In complex time-varying environment, the ground base station (GBS) may not assist the UAV.Therefore, a mobile edge computing (MEC) cellular-connected network based on digital twin (DT) technology was studied.Given the efficiency of multi-UAV, multiple high-altitude balloon (HAB) equipped with MEC servers were introduced.On this basis, an energy minimization problem for all UAV was proposed, and a multi-UAV trajectory optimization and resource allocation scheme was presented to solve it.The double deep Q-network (DDQN) was applied to handle the association between multi-UAV and multi-HAB, and the multi-UAV trajectory and computing resource allocation were jointly optimized by the successive convex approximation (SCA) and the block coordinate descent (BCD).Simulation experiments verify the feasibility and effectiveness of the proposed algorithm.The system energy consumption is reduced by 30%, better than the comparison algorithms.…”
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