Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection by Altaf S., Mehmood M. S., Imran M.

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Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification by Aytuğ Onan

“…Deep neural network models, including convolutional neural networks (CNN) and recurrent neural networks (RNN), yield promising results on text classification tasks. RNN-based architectures, such as, long short-term memory (LSTM) and gated recurrent unit (GRU) can process sequences of any length. …”
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Automatic classification of Chinese programming MOOC reviews using fine-tuned BERTs and GPT-augmented data by Xieling Chen, Haoran Xie, Di Zou, Lingling Xu, Fu Lee Wang

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A Novel Ensemble Feature Selection Technique for Cancer Classification Using Logarithmic Rank Aggregation Method by Hüseyin Öztoprak, Hüseyin Güney

“…Recent studies have shown that ensemble feature selection (EFS) has achieved outstanding performance in microarray data classification. However, some issues remain partially resolved, such as suboptimal aggregation methods and non-optimised underlying FS techniques. …”
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Hybrid deep learning framework for robust time-series classification: Integrating inception modules with residual networks by Duong Thi Kim Chi, Nguyen Thi Mai Trang, Tran Ba Minh Son, Nguyen Ngoc Thao, Thanh Q. Nguyen

“…Accurate time-series classification (TSC) remains a fundamental challenge in deep learning due to the complexity and variability of temporal patterns. …”
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Impacts of Land–Atmosphere Interactions on Boundary Layer Variables: A Classification Perspective from Modeling Approaches by Xin-Min Zeng, Congmin Li, Ning Wang, Irfan Ullah

“…In this article, we present a classification of these impacts based on modeling boundary layer variables/parameters, which is grouped into local, regional, and remote impacts. …”
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Diagnosis and classification of neuromuscular disorders using Bi-LSTM optimized with grey Wolf optimizer for EMG signals by Ruth Keziah Mani, Balakrishnan Nagaraj

“…This study proposes a novel method that uses the Grey Wolf Optimizer (GWO) to fine-tune the hyperparameters of a Bi-LSTM-based EMG classification system. Implemented in MATLAB R2021a, this approach aims to enhance the accuracy of Bi-LSTM models in categorizing EMG signals. …”
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Instance-level medical image classification for text-based retrieval in a medical data integration center by Ka Yung Cheng, Markus Lange-Hegermann, Jan-Bernd Hövener, Björn Schreiweis

“…However, some images have incorrect or missing annotations, which creates challenges in searching and integrating data centrally. To address this issue, accurate and meaningful descriptors are needed for indexing fields, enabling users to efficiently search for desired images and integrate them with international standards.This paper aims to provide concise annotation for missing or incorrectly indexed fields, incorporating essential instance-level information such as radiology modalities (e.g., X-rays), anatomical regions (e.g., chest), and body orientations (e.g., lateral) using a Deep Learning classification model - ResNet50. …”
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Parkgoers go to the virtual park: a classification framework, systematic review, and future tourism research agenda by Aniesa Samira Bafadhal, Faiz Izwan Anuar, Mohd Hafiz Hanafiah

“…The framework comprehensively covered current issues and future developments in virtual park research, providing a foundation for future studies.Discussion This is the first study that represents a pioneering effort in developing a virtual theme park framework and reviewing virtual parks within the tourism context. …”
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A Comprehensive Classification of State-of-the-Art Distributed Maximum Power Point Tracking Architectures for Photovoltaic Systems by Afshin Nazer, Olindo Isabella, Patrizio Manganiello

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Deep Learning-Based Model for Effective Classification of <i>Ziziphus jujuba</i> Using RGB Images by Yu-Jin Jeon, So Jin Park, Hyein Lee, Ho-Youn Kim, Dae-Hyun Jung

“…Using three advanced convolutional neural network (CNN) architectures—ResNet-50, Inception-v3, and DenseNet-121—all models demonstrated a classification performance above 98% on the test set, with classification times as low as 23 ms. …”
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Improving Gaussian Naive Bayes classification on imbalanced data through coordinate-based minority feature mining by Wei Wang, Li Yan, Fen Liu, Yanxi Li

“…As a widely used classification model, the Gaussian Naive Bayes (GNB) classifier experiences a significant decline in performance when handling imbalanced data. …”
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Lightweight Spatial&#x2013;Spectral Shift Module With Multihead MambaOut for Hyperspectral Image Classification by Yi Liu, Yanjun Zhang, Yu Guo, Yunchao Li

“…If graph convolutional networks (GCN) are adopted, most networks employ superpixel segmentation for HSI classification. However, this approach tends to overlook pixel-level features and thus fails to achieve fine classification.To efficiently extract spectral features while reducing resource consumption, we proposed the spectral shift module (SPCSM). …”
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Multi-Level Cross-Modal Interactive-Network-Based Semi-Supervised Multi-Modal Ship Classification by Xin Song, Zhikui Chen, Fangming Zhong, Jing Gao, Jianning Zhang, Peng Li

“…In this paper, a novel semi-supervised multi-modal ship classification approach is proposed to solve these issues, which consists of two components, i.e., multi-level cross-modal interactive network and semi-supervised contrastive learning strategy. …”
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Incorporation of Histogram Intersection and Semantic Information into Non-Negative Local Laplacian Sparse Coding for Image Classification by Ying Shi, Yuan Wan, Xinjian Wang, Huanhuan Li

“…To address these issues, a new method is proposed, called Histogram intersection and Semantic information-based Non-negativity Local Laplacian Sparse Coding (HS-NLLSC) for image classification. …”
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Innovative Approach for Diabetic Retinopathy Severity Classification: An AI-Powered Tool using CNN-Transformer Fusion by Khosro Rezaee, Fateme Farnami

“…While deep learning has advanced DR diagnosis, many models face issues like inconsistent performance, limited datasets, and poor interpretability, reducing their clinical utility. …”
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A New Classification Model Using a Decision Tree Generated from Hyperplanes in Dimensional Space by Benjamín Luna-Benoso, José Cruz Martínez-Perales, Úrsula Samantha Morales-Rodríguez, Rolando Flores-Carapia, Víctor Manuel Silva-García

“…One of the issues addressed by machine learning, with applications in various disciplines or fields such as the health sector and the agricultural sector among others, involves data classification. …”
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Towards precision in IoT-based healthcare systems: a hybrid optimized framework for big data classification by Satheeshkumar Palanisamy, Vigneshwaran Thangaraju, Jeevitha Kandasamy, Ayodeji Olalekan Salau

“…KEYWORDS: Big data, Healthcare, Optimization, Classification, Feature Extraction and COVID-19 database.…”
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Multimodal Fusion Mamba Network for Joint Land Cover Classification Using Hyperspectral and LiDAR Data by Haizhu Pan, Ruixiang Zhao, Haimiao Ge, Moqi Liu, Quanxiu Zhang

“…Joint land cover classification (LCC) using hyperspectral image (HSI) and light detection and ranging (LiDAR) data is one such key area of research. …”
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Multi-Feature Lightweight DeeplabV3+ Network for Polarimetric SAR Image Classification with Attention Mechanism by Junfei Shi, Shanshan Ji, Haiyan Jin, Yuanlin Zhang, Maoguo Gong, Weisi Lin

“…Besides, multiple features can provide more complementary information, while feature selection is crucial for classification. To address these issues, we propose a novel attention mechanism-based multi-feature lightweight DeeplabV3+ network for PolSAR image classification. …”
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