Microbial Agents in Terrorism, Biomarkers, and Public Health Challenges by Olukayode Orole, Aleruchi Chuku, Kayode Olawuyi, Eno Mantu, Alexander Philips, Chukwuma Okoli

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Synthesis of an Algorithm for Classifying Underwater Objects on Based on the Analysis of their Noise Spectra by Evgeniy Storozhok, Vladimir Kristalinskii

“…In the presented classification algorithm, harmonic components of the noise spectrum of an underwater object are used as classification features. …”
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Employees’ Satisfaction and Sentiment Analysis toward BERSATU Application by Ayub Prasetyo, Hotniar Siringoringo, Firda Amalia

“…Based on the evaluated five algorithms classification, SVM and Naïve Bayes were superior with accuracy above 97% with better F1-Score. …”
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Science, Technology, Engineering and Math (STEM) Academic Librarian Positions during 2013: What Carnegie Classifications Reveal About Desired STEM Skills. by Kelli Trei

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Exploring the Outcomes of Gallbladder Perforation: A Retrospective Observational Study by Shaan Hassan, Hemant Purohit, Atia Zaka-ur-Rab, Sayema Talib

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PAIN AS AN INTERDISCIPLINARY PROBLEM by N. A. Shostak, N. G. Pravdyuk

“…This article addresses issues of classification, and objective assessment of the pain, clinical variants of pain are described, modern methods of pain therapy are presented.…”
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Clinical-anthropometric characteristics of COPD outpatients belonging to the different groups and having different severity of airway obstruction by Gashynova K.Y.

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Monitoring Livestock Health by Modeling Rumination Behavior According to Accelerometer-Based Information by E. Vahedi Tekmehdash, H. Navid, H. Ghasemzadeh, H. Karimi, M. Javani Holan

“…Logistic regression was the best modeling method for binary classification between rumination and other behaviors. …”
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Des régions territoriales aux régions fonctionnelles, une proposition de classification des régions de l’Union Européenne by François-Olivier Seys

“…The regions’ issue is recent in Europe on a historical scale. …”
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Fine identification of vegetation types in open pit mining regions using combined UAV RGB imagery and LiDAR point cloud data by Suling He, Yuncheng Deng, Jinliang Wang, Mengjia Luo

“…However, many existing mine-mapping studies tend to classify all vegetation into a single class, overlooking inter-species differentiation and thereby limiting the precision of ecological evaluations. To address this issue, this study proposed a multi-scale hierarchical classification (MSHC) method for fine-scale mapping of vegetation types in open phosphate mining areas by combining unmanned aerial vehicle (UAV) RGB remote sensing imagery and light detection and ranging (LiDAR) data with the support of object-oriented methods. …”
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A Comprehensive Deep Learning Framework for Microwave Stroke Classification: Combining Signal Analysis, Clinical Variables, and Antenna System Measurements by Wei Yuan, Phawis Thammasorn, Lingxiao Wang, Shih Mo

“…However, implementing this technology in real-world settings remains challenging due to difficulties in accurately modeling wave scattering, which often leads to suboptimal performance of classification systems. Our proposed deep learning framework addresses this issue by bypassing complex modeling tasks and directly extracting stroke signatures from wavelet-filtered microwave signals, combined with clinical variables and antenna measurements. …”
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Rore: robust and efficient antioxidant protein classification via a novel dimensionality reduction strategy based on learning of fewer features by Chaolu Meng, Yongqi Hou, Quan Zou, Lei Shi, Xi Su, Ying Ju

“…To address this issue, we present Rore, an algorithm based on a feature-dimensionality reduction strategy. …”
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Edge and Node Enhancement Graph Convolutional Network: Imbalanced Graph Node Classification Method Based on Edge-Node Collaborative Enhancement by Jiadong Tian, Jiali Lin, Dagang Li

“…In addressing the issue of node classification with imbalanced data distribution, traditional models exhibit significant limitations. …”
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Automatic Change Detection of High Resolution Remote Sensing Images Based on Level Set Evolution and Support Vector Machine Classification by YAN Ming, CAO Guo, XIA Meng

“…We propose a method for change detection in highresolution remote sensing images by means of level set evolution and Support Vector Machine (SVM) classification, which combined both pixellevel method and objectlevel method Both pixelbased change features and objectbased ones are extracted to improve the discriminability between the changed class and the unchanged classAt the pixellevel, the change detection problem is formulated as a segmentation issue using level set evolution in the difference image At the objectlevel, potential training samples are selectedfrom the segmentation results without manual intervention into SVM classifier Thereafter, the final changes are obtained by combining the pixelbased changes and the objectbased changes A chief advantage of our approach is being able to select appropriate samples for SVM classifier training Furthermore, our proposed method helps improving the accuracy and the degree of automation We systematically evaluated it with a variety of SPOT5 images and aerial images Experimental results demonstrated the accuracy of our proposed method…”
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Machine Learning-Based Classification for Crop-Type Mapping Using the Fusion of High-Resolution Satellite Imagery in a Semiarid Area by Aicha Moumni, Abderrahman Lahrouni

“…The monitoring of cultivated crops and the types of different land covers is a relevant environmental and economic issue for agricultural lands management and crop yield prediction. …”
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NLP based text classification using TF-IDF enabled fine-tuned long short-term memory: An empirical analysis by Pratiyush Guleria, Jaroslav Frnda, Parvathaneni Naga Srinivasu

“…While these platforms have become vital channels for sharing news, advertisements, and crucial updates, they also pose challenges in verifying the authenticity of the information in real-time. Addressing this issue, this study proposes a novel Convolutional Neural Networks (CNN)-Long Short-Term Memory (LSTM) model designed for the classification of fake news articles. …”
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Enhancing E-Nose Performance via Metal-Oxide Based MEMS Sensor Arrays Optimization and Feature Alignment for Drug Classification by Ruiwen Kong, Wenfeng Shen, Yang Gao, Dawu Lv, Ling Ai, Weijie Song, Ruiqin Tan

“…This article introduces a novel approach to improve electronic nose classification accuracy by optimizing sensor arrays and aligning features. …”
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Classification of fashion e-commerce products using ResNet-BERT multi-modal deep learning and transfer learning optimization. by In-Jae Seo, Yo-Han Lee, Beakcheol Jang

“…To resolve this problem, this study proposes a methodology for fashion e-commerce product classification based on multi-modal deep learning and transfer learning. …”
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Enhanced sentiment analysis framework: Ensemble attention enhanced bidirectional long-short-term encoder for accurate classification of consumer reviews by Ali Jaber Almalki

“…To rectify this type of issue, current work focuses on developing a sentiment analysis framework by progressive techniques. …”
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Robust self management classification via sparse representation based discriminative model for mild cognitive impairment associated with diabetes mellitus by Yun-xian Wang, Rong Lin, Hao Liang, Yuan-jiao Yan, Ji-xing Liang, Ming-feng Chen, Hong Li

“…Thus, the inclusion and discrimination of subsequent interventions according to their self-management is an urgent issue. A Sparse-representation-based Discriminative Classification model (SDC) is proposed in this paper to correctly classify MCI-DM patients based on their self-management ability. …”
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