A VANET-Based A* Route Planning Algorithm for Travelling Time- and Energy-Efficient GPS Navigation App by Ing-Chau Chang, Hung-Ta Tai, Feng-Han Yeh, Dung-Lin Hsieh, Siao-Hui Chang

“…In summary, VBA * achieves significant reductions in both the average travelling time and fuel consumption of the planned route, as compared to traditional route planning algorithms.…”
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Basic aspects of methodology for justifying the performance characteristics of a tracked machine with electromechanical transmission by V. N. Kuznetsova, R. V. Romanenko

“…The use of a caterpillar propeller as a base chassis has both advantages and disadvantages. One of the main problems is ensuring the mobility of tracked vehicles. …”
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Towards 4D CT in Additive Manufacturing: Evaluating Algorithmic Limitations and Opportunities for Industrial Non-Destructive Testing by Nadine Mönter, Katharina Bliedtner, Frank Herold

“…In our previous work [1], an algorithm was developed to model the motion between a static initial state and a final state, enabling the reconstruction of temporal intermediate volumes. …”
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Time deterministic routing algorithm and protocol based on time-varying graph over the space-ground integrated network by Hongyan LI, Tao ZHANG, Jingqian ZHANG, Keyi SHI, Pengcheng ZENG

“…In terms of the difficulties to construct the end-to-end path and improve the utilization of network resources,caused by the time-varying multi-dimensional resources and diverse services over the space-ground integrated networks,the time-varying graph-based time deterministic routing algorithm and protocol for the space-ground integrated network was proposed.Firstly,a time-varying continuous graph model was constructed to describe the spatial and temporal attributes of multi-dimensional resources,such as the topology,link connectivity opportunities,node caching and so on.Then,a service-oriented time deterministic routing algorithm was proposed.According to the calculation rules of link cumulative traffic,and the constraints of node flow conservation and cache,the time-varying path with the shortest transmission delay was constructed.After that,a delay-guaranteed time deterministic routing protocol was designed by combining the proposed routing algorithm with both the segment routing technology and the time sensitive network technology,which supported the dynamic topology discovery,the efficient calculation of deterministic routing and the timing forwarding of data packets on the time-varying network.The simulation results show that,compared with the routing algorithm based on snapshot graph and contact graph,the proposed routing algorithm has higher link resource utilization rate and the packet successful delivery rate by jointly using link and node storage resources by association,and ensures the end-to-end transmission delay of services.…”
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Active Noise-Vibration Control using the Filtered-Reference LMS Algorithm with Compensation of Vibrating Plate Temperature Variation by Krzysztof MAZUR, Marek PAWEŁCZYK

“…Such mismatch may deteriorate performance of an active noise control system or even lead to divergence of a model-based adaptation algorithm. In this paper effects of vibrating plate temperature variation on a feedforward adaptive active noise reduction system with the multichannel Filtered-reference LMS algorithm are examined. …”
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Research on a path-tracking control system of unmanned rollers based on an optimization algorithm and real-time feedback by Ma Haosen

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Mantaray modified multi-objective Harris hawk optimization algorithm expedites optimal load balancing in cloud computing by Mohammad Haris, Swaleha Zubair

“…The present study proposes a dynamic load balancing algorithm based on the hybrid optimization algorithms named as Mantaray modified multi-objective Harris hawk optimization (MMHHO). …”
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Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University by Dani Wilian, Sriyanto Sriyanto

“…A dataset consisting of 5,586 records and ten attributes related to book lending was utilized, with comprehensive data cleaning and preprocessing conducted. The performance of both algorithms was assessed using K-fold cross-validation, yielding an accuracy of 96.26% for C4.5, compared to 91.44% for Naïve Bayes. …”
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Micro-Energy Grid Energy Utilization Optimization with Electricity and Heat Storage Devices Based on NSGA-III Algorithm by Junchao Yang, Li Li

“…Energy storage devices, which can overcome the challenges of an instantaneous balance of electricity on the supply and demand sides, play an especially key role in making full use of generated renewable energy. Considering both minimizing the operation costs and maximizing the renewable energy usage ratio is important in the micro-energy grid environment. …”
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Inference in skew generalized t-link models for clustered binary outcome via a parameter-expanded EM algorithm. by Chénangnon Frédéric Tovissodé, Aliou Diop, Romain Glèlè Kakaï

“…We have taken advantage of the Expectation-Maximization algorithm accelerated via parameter-expansion for model fitting. …”
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Collaborative Routing With Multi-Heuristic Algorithm for Enhanced Delivery Efficiency in Truck-Multi Unmanned Aerial Vehicles Systems by Ramdhan Nugraha, Md Masuduzzaman, Soo Young Shin

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Tracking algorithm when managing competitive activities of top level teams online based on computer visioncomputer vision by A. A. Polozov, N. A. Maltceva, G. S. Kramarenko, M. A. Lipilin, A. R. Akhmetzyanov

“…Algorithms with object re-identification are considered, taking into account both motion dynamics and appearance. …”
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Enhanced hybrid pre-coding and power allocation algorithms for smart irrigation systems using OFDM-based WSNs. by Emad S Hassan

“…These algorithms adjust both the signal constellation size and power distribution based on the Signal-to-Noise Ratio (SNR) values observed across the sub-carriers. …”
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The Information System of Mass Notification in Emergency Situations with an Algorithm of Optimization of Evacuation Plans Based on the Client — Server Architecture by Arutiunian V.E.

“…The use of the evacuation model was analyzed using both a short path and the developed algorithm to calculate the most efficient path. …”
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A Centralized–Distributed Joint Routing Algorithm for LEO Satellite Constellations Based on Multi-Agent Reinforcement Learning by Licheng Xia, Baojun Lin, Shuai Zhao, Yanchun Zhao

“…Experimental results demonstrate that MARL-JR outperforms both Q-Routing (QR) and DR-BM algorithms in average delay, packet loss rate, and load-balancing efficiency.…”
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Cumulative Rainfall Radar Recalibration with Rain Gauge Data Using the Colour Pattern Regression Algorithm QGIS Plugin by Pablo Blanco-Gómez, Pau Estrany-Planas, José Luis Jiménez-García

“…Remote sensors, including both the existing satellite rain products (SRPs) and radar imagery (RI), can complete the spatial distribution of rainfall and optimise the cost of observations. …”
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Forecasting Models and Genetic Algorithms for Researching and Designing Photovoltaic Systems to Deliver Autonomous Power Supply for Residential Consumers by Ekaterina Gospodinova, Dimitar Nenov

“…This model can be used with a genetic algorithm to make a prediction that fits a specific case, such as a time series representation based on discrete fuzzy sets of the second type. …”
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Tensor-Based Predictor–Corrector Algorithm for Power Generation and Transmission Reliability Assessment with Sequential Monte Carlo Simulation by Erika Pequeno dos Santos, Beatriz Silveira Buss, Mauro Augusto da Rosa, Diego Issicaba

“…The reliability assesment of large power systems, particularly when considering both generation and transmission facilities, is a computationally demanding and complex problem. …”
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Comparison of K-Means and K-Medoids Algorithms for Clustering Poverty Data in South Sumatra Using DBI Evaluation by M. Dandi Akhda, Ken Ditha Tania

“…Data clustering is done by both algorithms and then the performance value is Evaluated using Davies Bouldin Index DBI shows that K-Means gives better results, with a lower DBI value (0.204 at K=5) while K-Medoids has a DBI value of 0.239 at K=5, which indicates more compact and separated clusters. …”
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Developing a hybrid machine learning model for employee turnover prediction: Integrating LightGBM and genetic algorithms by Hojat Talebi, Amid Khatibi Bardsiri, Vahid Khatibi Bardsiri

“…In this study, we propose a novel hybrid model for employee turnover prediction that integrates Genetic Algorithms (GA) for feature selection with LightGBM for classification. …”
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