Generation and Classification of Novel Segmented Control Charts (SCC) Based on Hu’s Invariant Moments and the K-Means Algorithm by Roberto Baeza-Serrato

“…Finally, a grouping is made to classify the samples in clear and simple language as excellent, good, or regular using the k-means algorithm. The results visually display the total pattern behavior of the samples and their interpretation when they are classified intelligently. …”
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Research on Quality Anomaly Recognition Method Based on Optimized Probabilistic Neural Network by Li-li Li, Kun Chen, Jian-min Gao, Hui Li

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Design of Adaptive Planar Microstrip Patch Array Operating at 28 GHz for 5G Smart Mobile System by Zhwan Mohammed Rashid, Asaad M. Jassim Al-Hindawi

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Unequal relational travel patterns of long-distance rail trips between different levels of settlement hierarchies – Case study from Hungary by Vilmos Oszter, István Kövesdi, László Sipos

“…The study of long-distance travel behaviour has become a prominent field of research on a global scale. Parallel with economic development, the proportion of long-distance trips undertaken by individuals and groups across the globe is increasing. …”
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Identification of Gas-Water Two-Phase Flow Patterns in Horizontal Wells of Shale Gas Reservoirs Based on Production Logging Data by Xiaoyun Zhao, Hongwei Song, Mingxing Wang, Xinlei Shi

“…Finally, SSA-BP neural network algorithm is used to identify a gas-water two-phase flow pattern in a wellbore by using experimental parameters such as center holdup, well inclination angle, spinner revolution, and CAT probe measurements. …”
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Multi-temporal investigation of sand wave migration patterns in the Taiwan Bank through fusion of satellite imagery and deep neural networks by Jiaxin Cui, Xianglong Jin, Xiaowen Luo, Ziyin Wu, Jieqiong Zhou, Jihong Shang, Dineng Zhao, Hongyang Wan

“…Leveraging a Visual Geometry Group neural network algorithm, this research combines limited in situ depth measurements with SAR-derived data to reconstruct high-resolution bathymetry. …”
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A Comprehensive Review on Sensor-Based Electronic Nose for Food Quality and Safety by Teodora Sanislav, George D. Mois, Sherali Zeadally, Silviu Folea, Tudor C. Radoni, Ebtesam A. Al-Suhaimi

“…Our review found that most of the efforts use portable, low-cost electronic noses, coupled with pattern recognition algorithms, for evaluating the quality levels in certain well-defined food classes, reaching accuracies exceeding 90% in most cases. …”
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Synergistic use of satellite, legacy, and in situ data to predict spatio-temporal patterns of the invasive Lantana camara in a savannah ecosystem by Lilly Theresa Schell, Emma Evers, Sarah Schönbrodt-Stitt, Konstantin Müller, Maximilian Merzdorf, Drew Arthur Bantlin, Insa Otte

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Behavior-aware energy management in microgrids using quantum-classical hybrid algorithms under social and demand dynamics by Liu Minghong, Fu Gaoshan, Wang Pengchao, Yuan Xin, Li Qing, Tengfei Hou, Zhang Shuo

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Review of Automatic Estimation of Emotions in Speech by Douglas O’Shaughnessy

“…Many methods of emotion recognition have been found in research on pattern recognition in other areas, e.g., image and text recognition, especially in recent methods for machine learning. …”
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Using Machine Learning to Identify the Dynamic Evolution Patterns of Negative Emotions in Perinatal Women: A Longitudinal Study in Southwest China by Yuan Zhang, Wenlong Li, Jian Zou, Guohui Yang, Xiaoni Zhong, Biao Xie

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The Fast-Greedy algorithm reveals hourly fluctuations and associated risks of shark communities in a South Pacific city by Ibtissam Chafia, Jihad Zahir, Christophe Lett, Tarik Agouti, Hajar Mousannif, Laurent Vigliola

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Linking patterns to processes: Using hunting bag data to classify raccoon (Procyon lotor) invasion stages in Germany since the 2000s by Sarah Cunze, Gaby Schneider, Norbert Peter, Sven Klimpel

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Protocol for detecting neuronal subnetworks from in vivo calcium imaging data using multiple clustering algorithms in MATLAB by Jui-Yen Huang, Gautam Chauhan, Pei-Ying Chen, Esen Tuna, Hui-Chen Lu

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Unsupervised Binary Classifier-Based Object Detection Algorithm with Integrated Background Subtraction Suitable for Use with Aerial Imagery by Gabija Veličkaitė, Ignas Daugėla, Ivan Suzdalev

“…This research presents the development of a novel object detection algorithm designed to identify humans in natural outdoor environments using minimal computational resources. …”
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Subject based feature selection for hybrid brain computer interface using genetic algorithm and support vector machine by Nida Mateen, Mehreen Naeem, Muhammad Jawad Khan, Talha Yousaf, Ahsan Ali, Wael A. Altabey, Mohammad Noori, Sallam A Kouritem

“…Feature selection is of great importance in hybrid BCI systems to reduce dimensionality, improve interpretability, and optimize the classification performance. In this research, we present a subject-specific feature selection technique based on the modified genetic algorithm (GA) and support vector machine (SVM) classifier. …”
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Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…Eventually, the whale optimization algorithm (WOA) is used to optimally choose the hyperparameters of the CNN‐BiGRU model. …”
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Operation Evaluation of Phased Antenna Arrays in Case of Phase Shifter Malfunction by M. R. Bibarsov, A. F. Kryachko, A. V. Pshenichnikov

“…Therefore, operation evaluation of WSPAAs in the event of PS failure with any outcome is an urgent research task. The paper reviews algorithms for modeling the impact of PS failures on WSPAAs and evaluates the operation of such antenna systems under these impacts.Aim. …”
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Molecular alteration patterns predict tumor behavior in papillary thyroid carcinoma independent of tumor size: insights from an international multicenter retrospective study by Grégoire B. Morand, Idit Tessler, Simon E. Thurnheer, Kayla E. Payne, Maxine Noik, Josh Krasner, Tzahi Yamin, Marc P. Pusztaszeri, Richard J. Payne, Galit Avior

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REVIEW OF: GOLUBKOVA O.N. FUNDAMENTALS OF SCIENTIFIC RESEARCH IN THE PROFESSIONAL FIELD: TEXTBOOK by A.A. Bilyalova, A.N. Utekhina

“…This review examines the contents of an electronic textbook ‘Fundamentals of Scientific Research in the Professional Field’ by O.N. Golubkova, Candidate of Pedagogy, Associate Professor. …”
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