A Simple and Efficient Way to Save Energy in Multihop Wireless Networks with Flow Aggregation by Alexandre Laube, Dominique Quadri, Steven Martin, Khaldoun Al Agha

“…In multihop wireless networks, the main objective in that regard is usually to maximize the lifetime of the network by distributing the load over all nodes. …”
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Slip and tractive efficiency of an electric tractor with a 4WID E-axle system by SeungYun Baek, HyeonHo Jeon, CheolGyu Park, YongJoo Kim

“…The primary findings of this study identify the appropriate slip range and provide fundamental data for developing slip control algorithms for the 4WID E-axle system. Future research will focus on experimental validation and development of control algorithms based on the main results.…”
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In-Process Monitoring of Inhomogeneous Material Characteristics Based on Machine Learning for Future Application in Additive Manufacturing by André Jaquemod, Marijana Palalić, Kamil Güzel, Hans-Christian Möhring

“…The main objective of this study is to contribute to enhancing quality control of machining processes for inhomogeneous materials.…”
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Simple reparameterization to improve convergence in linear mixed models by Gregor GORJANC, Tina FLISAR, Jose Carlos MARTÍNEZ-ÁVILA, Luis Alberto GARCÍA-CORTÉS

“…Slow convergence and mixing are one of the main problems of Markov chain Monte Carlo (McMC) algorithms applied to mixed models in animal breeding. …”
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Microwave Sensors and Their Applications in Permittivity Measurement by Changjun Liu, Chongwei Liao, Yujie Peng, Weixin Zhang, Bo Wu, Peixiang Yang

“…With the alternation of metamaterials, microfluidics technologies, cross-technology, algorithms, and so on, sensors play an exceptionally prominent role in practical and low-cost applications.…”
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Artificial Intelligence in STEM Education: Interactive Handson Environment using Open Source Electronic Platforms by Danny Xie-Li, Esteban Arias Mendez

“…The main purpose is to motivate the participants to explode its creativity, improving their innovation skills to provide solutions for XXI century problems, better quality of life, health, among others. …”
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Fuzzy Logic Concepts, Developments and Implementation by Reza Saatchi

“…Fuzzy logic has been successfully combined with other artificial intelligence techniques such as artificial neural networks, deep learning, robotics, and genetic algorithms, creating powerful tools for complex problem-solving applications. …”
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StopSpamX: A multi modal fusion approach for spam detection in social networking by Dasari Siva Krishna, Gorla Srinivas

“…There are no concerns or problems if the data published is true and relevant. The main difficulty arises while we deal with the spam data. …”
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Analysis of the Urban Development Technologies of Ukek using Neural Networks (preliminary research results) by Singatulin Rustam A.

“…This study presents the main approaches, algorithms, and data processing methods, including geoinformation systems (GIS), clustering, optimization algorithms, and various types of neural networks such as convolutional, recurrent, and deep networks. …”
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GREEN ECONOMY AND HOLISTIC PLANNING BY ARTIFICIAL INTELLIGENCEAPPLICATION by STEVOVIC IVAN, HADROVIĆ SABAHUDIN, JOVANOVIC MIHAILO

“…Artificial intelligence (AI) is the main toolin the green economy development, as contemporary methodology addressing environmental sustainabilitywith all opportunities, problems and challenges. …”
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Risk Measurement of TAVR Surgical Complications Based on Unbalanced Multilabel Classification Approaches by Yue Zhang, Yuantao Xie

“…Transcatheter aortic valve replacement (TAVR) is a high-risk cardiovascular interventional procedure with a high incidence of postoperative complications, urgently requiring more refined risk identification and mitigation strategies. The main challenges in assessing the risk of TAVR complications lie in the scarcity of real-world data and the co-occurrence of multiple complications. …”
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REGIONS GROUPING IN CENTRAL SULAWESI PROVINCE BY TRANSMITTED DISEASE USING FUZZY GUSTAFSON KESSEL by Mohammad Fajri, Rais Rais, Lilies Handayani

“…Health is one of the main indicators in determining the human development index. …”
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Comparison of Matrix Decomposition in Null Space-Based LDA Method by Carissa Devina Usman, Farikhin, Titi Udjiani

“…Almost all machine learning algorithms degrade in high-dimensional data, so that singularities in the scatter matrices, the main problem of the Linear Discriminant Analysis (LDA) technique, might result. …”
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FORECASTING AND OPTIMIZATION OF CATALYTIC CRACKING UNIT OPERATION UNDER CONDITIONS OF FUZZY INFORMATION by Narkez Boranbayeva, Batyr Orazbayev, Leila Rzayeva, Zhalal Karabayev, Murat Alibek, Baktygul Assanova

“…The paper presents a procedure for developing and applying nonlinear regression models, describes algorithms for synthesizing linguistic models, and provides examples of their use to optimize the operation of catalytic cracking units. …”
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Tourism planning in the Azores and feedback from visitors by João Crispim Ponte, Gualter Couto, Pedro Pimentel, Áurea Sandra Toledo de Sousa, André Oliveira

“…This study aims to analyse the improvements that, in the opinion of visitors, should be implemented in Ponta Delgada, the largest hub of tourism activity in the Azores (Portugal), detecting differences between specific groups of visitors, in order to contribute to territorial organisation and the optimisation of tourism experiences. 400 answers to a survey distributed among tourists who visited this Azorean municipality were analysed, using several statistical methods, such as the chi-square test of independence and some Hierarchical Cluster Analysis algorithms. The main conclusions refer to the statistically significant associations between the mean of transport used to travel and views of some aspects to be improved, with signs of patterns in visits and critical attitude.…”
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MODERN ARCHITECTURE BOARD INFORMATION AND CONTROL SYSTEMS OF HEAVY VEHICLES by V. V. Filinov, S. A. Mikaeva, M. S. Rodyukov, A. V. Filinova

“…The main results on the development of the means of magneto-noise control, achieved at the department of electrical engineering and mechanics of Moscow Technological University (MGUPI), their applications in the technologies of engineering, aviation and oil and gas industries are presented.…”
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A Review of Research on Path Planning of Unmanned Surface Vessel Swarm: Deep Reinforcement Learning by Yuli HOU, Ning WANG, Chidong QIU, Yongpeng WENG

“…Finally, the main challenges and development directions in this field were summarized. …”
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Machine Learning for FPGA Electronic Design Automation by Armando Biscontini, E. Popovici, A. Temko

“…The work also presents the main ML methodologies and future challenges, serving as a roadmap for FPGA practitioners to navigate in the area of ML for FPGA EDA.…”
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Novel Hybrid UNet++ and LSTM Model for Enhanced Attack Detection and Classification in IoMT Traffic by Anzhelika Mezina, Jari Nurmi, Aleksandr Ometov

“…Finally, we highlight the main limitations as well as possibilities for real-world implementation of the approach.…”
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Development of a new method of diagnostics electromagnetic drive power and commutation mechanisms by I. V. Bochkarev, I. V. Bryakin

“…The method allows to diagnose the current state of the main functional units of the EMM and to control its operating modes as a whole.…”
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