Advancement of electric vehicle technologies, classification of charging methodologies, and optimization strategies for sustainable development - A comprehensive review by Vikram Goud Madaram, Pabitra Kumar Biswas, Chiranjit Sain, Sudhakar Babu Thanikanti, Praveen Kumar Balachandran

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Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model by Tianchun Li, Wanting Zhu, Wenke Xia, Li Wang, Weiqi Li, Peiming Zhang

“…This study aims to enhance the classification accuracy of adverse events associated with the da Vinci surgical robot through advanced natural language processing techniques, thereby ensuring medical device safety and protecting patient health. …”
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

“…These critical issues compromise the extraction of biomedical traits and also design incomplete classification of lung cancer. …”
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GMO-AC: Gaussian-Based Minority Oversampling With Adaptive Outlier Filtering and Class Overlap Weighting by Seung Jee Yang, Kyungjoon Cha

“…Imbalanced data significantly affects the performance of standard classification models. Data-level approaches primarily use oversampling methods, such as the synthetic minority oversampling technique (SMOTE), to address this problem. …”
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A Comparison Between Multilayer Perceptrons and Kolmogorov-Arnold Networks for Multi-Task Classification in Sitting Posture Recognition by David Carneros-Prado, Luis Cabanero-Gomez, Esperanza Johnson, Ivan Gonzalez, Jesus Fontecha, Ramon Hervas

“…Prolonged incorrect sitting postures can lead to various health issues, including musculoskeletal disorders and reduced quality of life. …”
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Topologically inferring active miRNA‐mediated subpathways toward precise cancer classification by directed random walk by Ziyu Ning, Chenchen Feng, Chao Song, Wei Liu, Desi Shang, Meng Li, Qiuyu Wang, Jianmei Zhao, Yuejuan Liu, Jiaxin Chen, Xiaoyang Yu, Jian Zhang, Chunquan Li

“…Accurate predictions of classification biomarkers and disease status are indispensable for clinical cancer diagnosis and research. …”
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Novel nocturnal insect pest monitoring for sustainable crop protection using ensemble augmented deep learning classification by Hui Zhao, Bo Fu, Fernando Auat Cheein, Matthew Butler, W. Edwin Harris, Tom W. Pope, Joe M. Roberts

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Classification of Skin Lesion With Features Extraction Using Quantum Chebyshev Polynomials and Autoencoder From Wavelet-Transformed Images by Farhatullah, Xin Chen, Deze Zeng, Jiafeng Xu, Rab Nawaz, Rahmat Ullah

“…Early detection of skin diseases is essential, as untreated conditions can escalate to serious issues such as skin cancer. This study presents an innovative automated system designed for efficient classification of skin lesions, addressing the growing demand for advanced biomedical image analysis. …”
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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

“…<b>Method:</b> This study addresses these issues by employing boosting algorithms, for enhanced classification accuracy. …”
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Sustainable Environmental Monitoring: Multistage Fusion Algorithm for Remotely Sensed Underwater Super-Resolution Image Enhancement and Classification by Wad Ghaban, Jawad Ahmad, Ali Akbar Siddique, Mohammad S. Alshehri, Anila Saghir, Faisal Saeed, Baraq Ghaleb, Mujeeb Ur Rehman

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Dual-Branch Attention Convolution Spectral&#x2013;Spatial Feature Extraction Networks for Hyperspectral Image Classification by Genyun Sun, Cheng Jing, Aizhu Zhang, Xiaolin Chen, Hang Fu, Zhaojie Pan, Ji Cheng

“…The attention-based dual-branch network demonstrates significant potential in hyperspectral image (HSI) classification. However, the existing dual-branch approaches still face two crucial issues that hinder the further performance promotion of HSI classification: 1) The static convolution in feature extraction branches is incapable of dynamically exploring the local and global dependency features in HSI. 2) Dual-branch networks tend to overlook the fusion of deep spectral&#x2013;spatial semantic information. …”
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BandFocusNet: A Lightweight Model for Motor Imagery Classification of a Supernumerary Thumb in Virtual Reality by Haneen Alsuradi, Joseph Hong, Alireza Sarmadi, Robert Volcic, Hanan Salam, S. Farokh Atashzar, Farshad Khorrami, Mohamad Eid

“…However, controlling these effectors remains challenging due to issues with agency, control, and synchronizing movements with natural limbs. …”
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Performance of Land Use and Land Cover Classification Models in Assessing Agricultural Behavior in the Alagoas Semi-Arid Region by José Lucas Pereira da Silva, George do Nascimento Araújo Júnior, Francisco Bento da Silva Junior, Thieres George Freire da Silva, Jéssica Bruna Alves da Silva, Christopher Horvath Scheibel, Marcos Vinícius da Silva, Rafael Mingoti, Pedro Rogerio Giongo, Alexsandro Claudio dos Santos Almeida

“…The second method employs the Random Forest model, calibrated for the region’s dry season, addressing cloud cover issues and allowing for the identification of irrigated agriculture. …”
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Agricultural and Related Pest Control Applicator License Classifications under the Florida Department of Agriculture and Consumer Services (FDACS) by Frederick M. Fishel

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Agricultural and Related Pest Control Applicator License Classifications under the Florida Department of Agriculture and Consumer Services (FDACS) by Frederick M. Fishel

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A Comparative Study of Transfer Learning and Fine-Tuning Method on Deep Learning Models for Wayang Dataset Classification by Ahmad Mustafid, Muhammad Murah Pamuji, Siti Helmiyah

“…In this paper, We tried proposing some steps and techniques on how to classify the characters and handle the issue on a small wayang dataset by using model selection, transfer learning, and fine-tuning to obtain efficient and precise accuracy on our classification problem. …”
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A Robust Multivariate Time Series Classification Approach Based on Topological Data Analysis for Channel Fault Tolerance by Seong-Yeon Jeung, Jang-Woo Kwon

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A Network Traffic Anomaly Classification Model Based on Self-Attention Mechanism and Convolutional Gated Recurrent Unit by Yulian Li, Yang Su

“…In the context of accelerated digital transformation, cybersecurity has become a global strategic issue. With the rapid growth of network traffic and the evolving complexity of attack patterns, the stability of information systems and data security face significant challenges. …”
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Classification of Real and Fake Images Using Error Level Analysis Technique and MobileNetV2 Architecture by Muhamad Nur Baihaqi, Aris Sugiharto, Henri Tantyoko

“…Advancements in technology have made image forgery increasingly difficult to detect, raising the risk of misinformation on social media. To address this issue, Error Level Analysis (ELA) feature extraction can be utilized to detect error level variations in lossy-formatted images such as JPEG. …”
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Differentiated Embedded Pilot Assisted Automatic Modulation Classification for OTFS System: A Multi-Domain Fusion Approach by Zhenkai Liu, Bibo Zhang, Hao Luo, Hao He

“…As a prerequisite to demodulation and signal processing, automatic modulation classification (AMC) is essential for OTFS systems. However, a very limited number of works have focused on this issue. …”
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