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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Summarizing Recent Developments on Autism Spectrum Disorder Detection and Classification Through Machine Learning and Deep Learning Techniques by Masroor Ahmed, Sadam Hussain, Farman Ali, Anna Karen Gárate-Escamilla, Ivan Amaya, Gilberto Ochoa-Ruiz, José Carlos Ortiz-Bayliss

“…Core symptoms include decreased pain sensitivity, difficulty sustaining eye contact, incorrect auditory responses, and social engagement issues. Diagnosing ASD poses challenges as signs can appear at early stages of life, leading to delayed diagnoses. …”
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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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K-Nearest Neighbor and Naive Bayes Classifier Algorithm in Determining The Classification of Healthy Card Indonesia Giving to The Poor by Yofi Firdan Safri, Riza Arifudin, Much Aziz Muslim

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Radio Frequency Signal-Based Drone Classification with Frequency Domain Gramian Angular Field and Convolutional Neural Network by Yuanhua Fu, Zhiming He

“…Hence, it is vital to develop an effective method of identifying drones to address the above issues. Existing drone classification methods based on radio frequency (RF) signals have low accuracy or a high computational cost. …”
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A multi-dimensional student performance prediction model (MSPP): An advanced framework for accurate academic classification and analysis by V. Balachandar, K. Venkatesh

“…It means most of the traditional student performance prediction models have difficulty in dealing with multi-dimensional academic data, can cause sub-optimal classification and generate a simple generalized insight. …”
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Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification. by Jaipriya D, Sriharipriya K C

“…This approach aims to mitigate non-stationary issues, improve performance speed, and enhance classification accuracy. …”
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SADASNet: A Selective and Adaptive Deep Architecture Search Network with Hyperparameter Optimization for Robust Skin Cancer Classification by Günay İlker, İnik Özkan

“…<b>Conclusions:</b> With these outcomes, this method aims to enhance the classification of skin cancer and contribute to the advancement of deep learning.…”
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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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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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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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CycleGuardian: a framework for automatic respiratory sound classification based on improved deep clustering and contrastive learning by Yun Chu, Qiuhao Wang, Enze Zhou, Ling Fu, Qian Liu, Gang Zheng

“…Despite the emergence of deep learning-based methods for automatic respiratory sound classification post-Covid-19, limited datasets impede performance enhancement. …”
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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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Corporate Governance And Its Effect On Professional Performance In Palestinian Private Universities, In Light Of Quality, Accreditation, And Classification Requirements by Dr. Issam Buhaisi, Dr. Zyad Al Damagh

“…The purpose of the study is to examine the actual status of corporate governance principles in Palestinian private universities at Gaza Strip Governorates, in order to propose a framework of governance for these universities, in light of quality, accreditation and classification requirements for Palestinian universities issued by Palestinian Ministry of Higher Education. …”
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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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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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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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EDG-Net: Edge-Enhanced Dynamic Graph Convolutional Network for Remote Sensing Scene Classification of Mining-Disturbed Land by Xianju Li, Pan Kong, Weitao Chen, Wenxi He, Jian Feng, Jiangyuan Wang

“…Subsequently, a novel model of edge-enhanced dynamic graph convolutional network (GCN) (EDG-Net) was proposed to learn the discriminative features for classification of mining land with irregular edges, different sizes, a relatively small proportion, and sparse spatial distribution. (1) Edge-enhanced multiscale attention module: it is designed to capture key multiscale features and edge details using parallel dilated convolutions with attention fusion and edge enhancement, which facilitates the identification of objects with irregular edges and different sizes. (2) Downsampling fusion module: it integrates the features obtained through spatially split learning and max-pooling to overcome the information loss issue of small objects. (3) Patch-based dynamic GCN: the input images were split into several patches as nodes, and a graph was constructed and dynamically updated by connecting the nearest neighbors. …”
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A new alignment-free method: K-mer Subsequence Natural Vector (K-mer SNV) for classification of fungi by Lily He, Mochao Huang, Gulinisha Yiming, Yi Zhu, Ruowei Liu, Jinghan Chen, Stephen S. T. Yau

“…Abstract As eukaryotic organisms, fungi play a pivotal role within ecosystems and exert profound influences on agriculture, the pharmaceutical industry, and human health. The classification of fungi in databases has emerged as a crucial and complex issue in the field of biology. …”
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Advanced music classification using a combination of capsule neural network by upgraded ideal gas molecular movement algorithm by Peiyan Chen, Jichi Zhang, Arsam Mashhadi

“…Abstract Music genres classification has long been a challenging task in the field of Music Information Retrieval (MIR) due to the intricate and diverse nature of musical content. …”
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