Classification and Detection of Rumors Related to COVID-19 Using Machine Learning-Based Smart Techniques by Yancheng Yang, Junqiao Zhai, Shah Nazir

“…Then, important features extracted from the literature were used in the process of ranking. For the effective categorization of the available alternatives, the Graph Theory Matrix Approach is used. …”
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Secret Elliptic Curve-Based Bidirectional Gated Unit Assisted Residual Network for Enabling Secure IoT Data Transmission and Classification Using Blockchain by Mahaboob Basha Shaik, Yamarthi Narasimha Rao

“…Thus, a novel encryption technique is proposed in this study for affording data security in IoT system and a novel deep learning technique is proposed for the effective categorization of attacks in IoT data. Initially, the input data is hashed using Amended Merkle Tree approach (AMerT). …”
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A Novel Deep 2D-CNN Model for ECG-Based Arrhythmia Diagnosis with Selective Attention Mechanism and CWT Integration by Hassanain Shakir Mansour, Morteza Valizadeh, Alaa Hussein Abdulaal, Mehdi Chehel Amirani

“…The SAM enhances feature focus, improving classification accuracy. The model effectively categorizes ECG signals into Normal and Abnormal classes, subcategorizing Abnormal patterns into four types. …”
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Anomaly Detection Utilizing One-Class Classification—A Machine Learning Approach for the Analysis of Plant Fast Fluorescence Kinetics by Nam Trung Tran

“…This study proposes a Machine Learning-based approach using a One-Class Support Vector Machine anomaly detection model to effectively categorize OJIP measurements into “normal”, representing healthy plants, and “anomalies”. …”
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Chaperone-Driven Entropic Separation of Amyloid Nanofilament Bundles by Jose M. G. Vilar, J. Miguel Rubi, Leonor Saiz

“…We uncover two main types of entropic effects, categorized as intraprotofilament and interprotofilament, which are differentially affected by the system parameters and conditions. …”
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Geospatial Framework for Assessing the Suitability and Demand for Agricultural Digital Solutions in Europe: A Tool for Informed Decision-Making by Theodoros Chalazas, Antonis Koukourikos, Jan Bauwens, Nick Berkvens, Jonathan Van Beek, Nikos Kalatzis, George Papadopoulos, Panagiotis Ilias, Nikolaos Marianos, Christopher Brewster

“…The results indicate that the developed indexes effectively categorize regions based on comparable characteristics, facilitating the targeted recommendation of ADSs. …”
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SMART HYBRID MODELS FOR IMPROVED BREAST CANCER DETECTION by Nageswara Rao Gali, Panduranga Vital Terlapu, Yasaswini Mandavakuriti, Sai Manoj Somu, Madhavi Varanasi, Vijay Telugu, Maheswara Rao V V R

“…Our approach is a hybrid Convolutional Neural Network (CNN) model, which performs better than other experimental and existing models. This model effectively categorizes histopathological images into either benign or malignant classes. …”
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Horse Personality Simplified: A Scientific Approach to Equine Temperament by Dan Manolachescu, Mirela Tripon, Cristian Crecan, Zsofia Daradics, Ionel Papuc

“…The results suggest that horse personality can be effectively categorized using these four types, based on behavioral traits such as energy level and reliability in response to humans. …”
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Highly accurate anomaly based intrusion detection through integration of the local outlier factor and convolutional neural network by Rahimullah Rabih, Hamed Vahdat-Nejad, Wathiq Mansoor, Javad Hassannataj Joloudari

“…Subsequently, a CNN model is utilized for the classification of network traffic instances, effectively categorizing normal and abnormal behavior. CNN’s strength lies in its ability to automatically extract relevant features from network traffic data through convolutional layers, thereby enhancing classification performance. …”
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Enhancing Binary Classification Performance in Biomedical Datasets: Regularized ELM with SMOTE and Quantile Transforms Focused on Breast Cancer Analysis by Brilliant Friezka Aina, Meta Kallista, Ig. Prasetya Dwi Wibawa, Ginaldi Ari Nugroho, Ivana Meiska, Syifa Melinda Naf’an

“…Overall, R-ELM with SMOTE produces encouraging results when it comes to effectively categorizing biological dataset properties. A subsequent investigation and validation of additional datasets, however, are necessary to establish its generalizability and robustness.…”
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Application of the FEA consumer needs model in e-commerce: a conversational recommendation system for fashion products by Hyeryeon Park, Suji Kim, Yerim Choi, Hyosun An

“…Our results indicate that the FEA model-based consumer needs taxonomy effectively categorizes consumer needs, with ease, good value for money, and leg contouring emerging as the most frequently mentioned attributes. …”
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Fragment-specific Plate Fixation in a Case of Mayo Type IIB Olecranon Fracture: A Case Report by Vinod Nair, Swaroop Solunke, Rishabh Aggarwal, Shirsha Ray

“…Conclusion: To effectively categorize olecranon fractures according to displacement, comminution, and stability, the Mayo classification was developed. …”
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Unveiling insights from unstructured wealth: a comparative analysis of clustering techniques on blockchain cryptocurrency data by Ramzi A. Haraty, Salma Sobeh

“…Clustering, an unsupervised learning technique, aims to identify a specific number of clusters to effectively categorize the data through data grouping. Hence, clustering is related to many fields and is used in various applications that deal with large datasets. …”
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Fractal Analysis of Pore–Throat Structures in Triassic Yanchang Formation Tight Sandstones, Ordos Basin, China: Implications for Reservoir Permeability and Fluid Mobility by Pan Li

“…Fractal curves feature distinct inflection points, effectively categorizing the pore–throats into large and small scales based on their mercury intrusion pressures. …”
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Identification of Molecular Subtypes and Prognostic Features of Breast Cancer Based on TGF-β Signaling-related Genes by Jia Qu, Mei-Huan Wang, Yue-Hua Gao, Hua-Wei Zhang

“…Consensus clustering effectively categorized BC patients into two distinct clusters, with cluster B demonstrating a longer OS and a more favorable prognosis. …”
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Diagnostic Accuracy of Modified Masood’s Scoring Index for Reporting Breast Cytopathology by Adil Aziz Khan, Sana Ahuja, Sufian Zaheer, Sunil Ranga

“…Conclusion: The MMSI demonstrates high diagnostic accuracy, sensitivity, and specificity for breast fine-needle aspirates, effectively categorizing lesions and aiding in clinical decision-making. …”
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Tumor associated neutrophils promote prostate cancer progression by mediating neutrophil trap secretion through PSMA1- NF-κB-HIF-1α signaling axis by Qian Dai, Qian Dai, Hua Wang, Hua Wang, Fang Li, Fang Li, Runchun Huang, Runchun Huang, Chenjun Jiang, Chenjun Jiang, Liuya Yuan, Liuya Yuan, Yayun Wang, Yayun Wang, Xun Li, Xun Li

“…Here, ① in this retrospective analysis of clinical data of PCa patients, we discovered that patients with PCa have elevated neutrophil levels and a greater risk of complications than patients with prostatic hyperplasia. ② We integrated LASSO regression analysis and machine learning analyses to create a prognostic prediction model involving 6 genes, and this model effectively categorized patients into high-risk and low-risk groups, with higher risk scores indicating a poorer prognosis. …”
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Spatial transcriptomic analysis of 4NQO-induced tongue cancer revealed cellular lineage diversity and evolutionary trajectory by Feng Liu, Feng Liu, Xiaojun Wu, Shaoqing Yu, Deqiang Cheng, Jun Pan, Xiaodong Wang, Guanzhen Yu, Guanzhen Yu, Chaofu Li

“…However, the specific cell types involved in chemically-induced carcinogenesis and the process of tumor development remain elusive.MethodsWe leveraged artificial intelligence (AI) algorithms and spatial transcriptomic sequencing to meticulously characterize the spatial and temporal evolution of 4-nitroquinoline-1-oxide (4NQO)-induced tongue carcinogenesis and intratumor heterogeneity.ResultsAn AI classifier effectively categorized dysplastic tongue tissue into 13 distinct groups. …”
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A clustering-based approach for classifying data streams using graph matching by Yuxin Du, Mingshu He, Xiaojuan Wang

“…The proposed method utilizes a graph matching approach to effectively categorize data streams in real-time scenarios. …”
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Ulnar polydactyly of the hand: a classification system and clinical series by Dan Chen, Wenyao Zhong, Liying Sun, Zongxuan Zhao, Wen Tian

“…Our classification system effectively categorized all cases, including rare variants such as Type 1b (duplicated distal phalanx) and Type 4d (duplication originating from the deformed fourth metacarpal), which are not adequately addressed by previous classifications. …”
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