Modern air defense methods and countermeasures for use in operational-tactical missiles by Mykola Bondarenko, Mykhailo Vorobei

“…This article delves into the multifaceted realm of missile defense, scrutinizing a spectrum of methodologies from conventional anti-aircraft systems to cutting-edge artificial intelligence algorithms. The primary objective is to explore existing methodologies aimed at protecting military assets and countering high-precision weaponry. …”
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Investigating the Efficacy of Topologically Derived Time Series for Flare Forecasting. I. Data Set Preparation by Thomas Williams, Christopher B. Prior, David MacTaggart

“…This publicly available living data set will allow users to incorporate these data into their own flare prediction algorithms.…”
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Flexible touch and gesture recognition system for curved surfaces with machine learning for assistive applications by Gitansh Verma, Shrutidhara Sarma, Eugen Koch, Andreas Dietzel

“…Evaluation electronics were integrated to ensure stable, noise-free signal acquisition, and output was processed with machine learning (ML) algorithms to classify gestures such as single and double finger taps, swipes, and touch locations, with 93 % accuracy, on both flat and curved surfaces. …”
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Estimating Aggregate Capacity of Connected DERs and Forecasting Feeder Power Flow With Limited Data Availability by Amir Reza Nikzad, Amr Adel Mohamed, Bala Venkatesh, John Penaranda

“…Our proposal comprises: 1) ovel deep learning-based architecture with a few convolutional neural network and long short-term memory (CNN-LSTM) modules to represent feeder connected aggregate models of DERs and loads and associated training algorithms; 2) method for estimating aggregate capacities of connected renewables and loads; and 3) method for short-term (hourly) high-resolution forecasting. …”
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Image Processing Techniques for Assessing Contractility in Isolated Adult Cardiac Myocytes by Carlos Bazan, David Torres Barba, Peter Blomgren, Paul Paolini

“…The different stages are variants of mathematically sound and computationally robust algorithms very well established in the image processing community. …”
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Role of PPARs in Progression of Anxiety: Literature Analysis and Signaling Pathways Reconstruction by Olga I. Rudko, Artemii V. Tretiakov, Elena A. Naumova, Eugene A. Klimov

“…Signal pathways were created according to previously developed algorithms. SNEA was performed in Pathway Studio. Current study revealed 14 PPAR-regulated proteins linked to anxiety. …”
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Optimization of joint strength in friction stir welded wood plastic composites using ANFIS and Cheetah Optimizer by Ammar H. Elsheikh, Mohamad Elmiligy, Ahmed M. El-Kassas

“…Three machine learning algorithms—multilayer perceptron (MLP), decision tree (DT), and adaptive neuro-fuzzy inference system (ANFIS)—were used to model the relationships between the input parameters and output responses. …”
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English Teaching Achievement Prediction by Big Data Analysis under Deep Intervention by Junfang Guo

“…First, data analysis methods and decision tree algorithms are analyzed. Second, in data mining technology, the C4.5 decision tree method is used to construct an English score prediction model. …”
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An Incremental Learning Ensemble Strategy for Industrial Process Soft Sensors by Huixin Tian, Minwei Shuai, Kun Li, Xiao Peng

“…The ability to handle large amounts of data incrementally and efficiently is indispensable for modern machine learning (ML) algorithms. According to the characteristics of industrial production process, we address an ILES (incremental learning ensemble strategy) that incorporates incremental learning to extract information efficiently from constantly incoming data. …”
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Target Threat Assessment in Air Combat Based on Improved Glowworm Swarm Optimization and ELM Neural Network by Yuan Cao, Ying-Xin Kou, An Xu, Zhi-Fei Xi

“…A target threat assessment algorithm based on linear discriminant analysis (LDA) and improved glowworm swarm optimization (IGSO) algorithm to optimize extreme learning machine (ELM) is proposed in this paper. …”
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An Effective Methodology for Diabetes Prediction in the Case of Class Imbalance by Borislava Toleva, Ivan Atanasov, Ivan Ivanov, Vincent Hooper

“…Our methodology can outperform existing machine learning algorithms and complex deep learning models. Applying our proposed methodology is a simple and fast way to predict labels with class imbalance. …”
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PaySwitch: Smart Contract-Based Payment Switch for Off-Chain Payment Channel Networks by Anan Jin, Yuhang Ye, Brian Lee, Xiang Li, Yuansong Qiao

“…To demonstrate the feasibility of PaySwitch, this paper applies it to several routing algorithms. The experimental results show that PaySwitch is capable of improving the transaction success rate and throughput compared with the traditional payment channel based approaches.…”
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Identification of Attack on Data Packets Using Rough Set Approach to Secure End to End Communication by Banghua Wu, Shah Nazir, Neelam Mukhtar

“…For cross validation purposes, the decision rules and decomposition tree algorithms were used. The DR algorithm showed accuracy of 59.1%, while the DT showed accuracy of 61.5%. …”
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FANT: Flexible Attention-Shifting Network Telemetry by Mingwei Cui, Yufan Peng, Fan Yang

“…To further save bandwidth, we model the attention-shifting process and apply heuristic algorithms to solve it. Our experiments show that FANT effectively supports the operation of ANT network applications. …”
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Research on Airport Target Recognition under Low-Visibility Condition Based on Transfer Learning by Jiajun Li, Yongzhong Wang, Yuexin Qian, Tianyi Xu, Kaiwen Wang, Liancheng Wan

“…Therefore, the low-visibility image is processed with 11 different fog removals and vision enhancement algorithms, and then, the GoogLeNet deep neural network algorithm is used to identify the image. …”
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A COMPARATIVE STUDY OF HEADWAY-BASED AND TRANSPORT SYSTEM-BASED ASSIGNMENTS OF PUBLIC TRANSPORT IN VISUM: THE CITY OF KRYVYI RIH CASE by Volodymyr SISTUK

“…This paper introduces a thorough comparison of algorithms involved in public transport assignment processes, using the transport model of the city of Kryvyi Rih in Ukraine. …”
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Ensemble Methods with Voting Protocols Exhibit Superior Performance for Predicting Cancer Clinical Endpoints and Providing More Complete Coverage of Disease-Related Genes by Runyu Jing, Yu Liang, Yi Ran, Shengzhong Feng, Yanjie Wei, Li He

“…As a result, we proposed a relatively stable scheme that used a set of methods with an ensemble algorithm. Our findings indicated that the ensemble methodologies are more reliable for predicting cancer prognoses than single machine learning algorithms as well as for gene function evaluating. …”
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Hate Speech Detection Using Large Language Models: A Comprehensive Review by Aish Albladi, Minarul Islam, Amit Das, Maryam Bigonah, Zheng Zhang, Fatemeh Jamshidi, Mostafa Rahgouy, Nilanjana Raychawdhary, Daniela Marghitu, Cheryl Seals

“…Traditional methods for detecting hate speech, such as keyword matching, rule-based systems, and machine learning algorithms, often struggle to capture the subtle and context-dependent nature of hateful content. …”
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Filtering Data of High-Resolution Terrestrial Laser Scanner and Effects of Filtrations on the Landslide Monitoring by Mustafa Zeybek, İsmail Şanlıoğlu, Aşır Genç

“…Point cloud filtering algorithm has automatically obtained two filtered data as the ground and the non-ground. …”
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Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis by Monalisa Ghosh, Goutam Sanyal

“…The performance of the algorithm is measured by evaluation methods such as precision, recall, and F-measure. …”
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