Joint Classification of Hyperspectral and LiDAR Data via Multiprobability Decision Fusion Method by Tao Chen, Sizuo Chen, Luying Chen, Huayue Chen, Bochuan Zheng, Wu Deng

“…However, the process of joint use suffers from data redundancy, low classification accuracy and high time complexity. To address the aforementioned issues and improve feature recognition in classification tasks, this paper introduces a multiprobability decision fusion (PRDRMF) method for the combined classification of HSI and LiDAR data. …”
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Ransomware detection and family classification using fine-tuned BERT and RoBERTa models by Amjad Hussain, Ayesha Saadia, Faeiz M. Alserhani

“…The lack of standardization across IoT devices creates interoperability issues and complicates data transfer between medical devices and healthcare systems. …”
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A fine-tuned convolutional neural network model for accurate Alzheimer’s disease classification by Muhammad Zahid Hussain, Tariq Shahzad, Shahid Mehmood, Kainat Akram, Muhammad Adnan Khan, Muhammad Usman Tariq, Arfan Ahmed

“…Our model achieved impressive classification results of 99.4% on the Kaggle MRI dataset as well as 98.2% on the Open Access Series of Imaging Studies (OASIS) database. …”
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DermViT: Diagnosis-Guided Vision Transformer for Robust and Efficient Skin Lesion Classification by Xuejun Zhang, Yehui Liu, Ganxin Ouyang, Wenkang Chen, Aobo Xu, Takeshi Hara, Xiangrong Zhou, Dongbo Wu

“…Currently, skin lesion classification faces challenges such as lesion–background semantic entanglement, high intra-class variability, artifactual interference, and more, while existing classification models lack modeling of physicians’ diagnostic paradigms. …”
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Alertness assessment by optical stimulation-induced brainwave entrainment through machine learning classification by Yong Zhou, Yizhou Tan, Shasha Wang, Hanshu Cai, Ying Gu

“…However, application of existing methods for evaluating alertness is limited due to issues such as high subjectivity, practice effect, susceptibility to interference, and complexity in data collection. …”
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UEF-HOCUrdu: Unified Embeddings Ensemble Framework for Hate and Offensive Text Classification in Urdu by Kifayat Ullah, Muhammad Aslam, Muhammad Usman Ghani Khan, Faten S. Alamri, Amjad Rehman Khan

“…As a result, the most efficient models, namely FastText, XLM-RoBERTa, ULMFiT, and XGBoost were incorporated in the proposed ensemble approach to achieve the best results in both classification and mitigation of NLP issues. To further enhance the confidence in proposed model, a stratified 5-fold cross-validation technique has been utilized. …”
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Cervical fibroids: the vaginal intracapsular myomectomy with classification by the fibroids’ origin, growth directions, and localizations by Andrea Tinelli, Ospan Mynbaev, Gaetano Panese, Martina Licchelli, Giovanni Pecorella, Antonio Malvasi, Ioannis Kosmas, Michael Stark, Wenming Cao

“…They also provide a comprehensive classification of CFs along with the CFs’ clinical manifestations based on the type of growth direction, locations, and fibroid maturity. …”
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AI-Based Performance Classification of Multi-Level System-of-Systems via Hypergraph Modeling by Jun Jiang, Abdeslem Smahi, Yiwen Chen, Othman Lakhal, Rochdi Merzouki

“…Accurately classifying the performance of System-of-Systems (SoS) is crucial for maintaining system reliability and resilience. Without clear classifications, engineers may struggle to assess the severity of malfunctions and implement timely corrective actions. …”
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Class-Discrepancy Dynamic Weighting for Cross-Domain Few-Shot Hyperspectral Image Classification by Chen Ding, Jiahao Yue, Sirui Zheng, Yizhuo Dong, Wenqiang Hua, Xueling Chen, Yu Xie, Song Yan, Wei Wei, Lei Zhang

“…In recent years, cross-domain few-shot learning (CDFSL) has demonstrated remarkable performance in hyperspectral image classification (HSIC), partially alleviating the distribution shift problem. …”
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Comparison of Machine Learning Models for Classification of Breast Cancer Risk Based on Clinical Data by Haniyeh Rafiepoor, Alireza Ghorbankhanloo, Kazem Zendehdel, Zahra Zangeneh Madar, Sepideh Hajivalizadeh, Zeinab Hasani, Ali Sarmadi, Behzad Amanpour‐Gharaei, Mohammad Amin Barati, Mozafar Saadat, Seyed‐Ali Sadegh‐Zadeh, Saeid Amanpour

“…Furthermore, it is crucial to address modeling issues in models with a restricted number of features for future research.…”
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Bangladeshi Vehicle Classification and Detection Using Deep Convolutional Neural Networks With Transfer Learning by Farid, Proshanta Kumer Das, Monirul Islam, Ebna Sina

“…Vehicle classification and detection has been a field of application for deep learning and image processing which play a very important role in intelligent transport management and AI-assisted driving systems. …”
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Crop Classification and Yield Prediction Using Robust Machine Learning Models for Agricultural Sustainability by Abid Badshah, Basem Yousef Alkazemi, Fakhrud Din, Kamal Z. Zamli, Muhammad Haris

“…Technology adoption can address these issues, improving production and quality. Machine learning, a subset of Artificial Intelligence (AI), enables prediction, classification, and automation in agriculture. …”
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Towards a Functional Socio-Legal Classification of the Legal Norms for the Regulatory Effectiveness Analysis by Félix Arias-Schreiber, Antonio Peña Jumpa

“…In the end of the work we present an alternative classification.…”
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Real-time ship detection and classification application framework based on airborne SAR image by Miao Weixing, Wang Xiaolong, Li Zhiyong, Yang Song, Zhang Xin, Ji Xinning

“…Focusing on this issue, a real-time application framework for ship detection and classification based on airborne SAR images is discussed and constructed, and the key processes and methods in engineering application are illustrated. …”
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Fine-Tuning Network Slicing in 5G: Unveiling Mathematical Equations for Precision Classification by Nikola Anđelić, Sandi Baressi Šegota, Vedran Mrzljak

“…The proposed method demonstrates outstanding performance, achieving a perfect classification accuracy of 1.0.…”
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Land use/land cover (LULC) classification using hyperspectral images: a review by Chen Lou, Mohammed A. A. Al-qaness, Dalal AL-Alimi, Abdelghani Dahou, Mohamed Abd Elaziz, Laith Abualigah, Ahmed A. Ewees

“…Hindered by inherent limitations in hyperspectral imaging, enhancing the accuracy and efficiency of HSI classification remains a critical and much-debated issue. …”
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XGBoost and SHAP-Based Analysis of Risk Factors for Hypertension Classification in Korean Postmenopausal Women by Hojeong Kim, Mavlonbek Khomidov, Jong-Ha Lee

“…This study conducted hypertension classification by analyzing health checkup data from 3289 postmenopausal Korean women aged 55–79 years, extracted from the 2022–2023 Korea National Health Insurance Service (KNHIS) database, using XGBoost, SVM and ANN. …”
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A lightweight CNN-LSTM hybrid model for land cover classification in satellite imagery by Nowshad Hasan, Md. Saiful Islam

“…However, traditional Convolutional Neural Networks (CNNs) require high computational demand, a large number of parameters, and a long training time for classification tasks. To address this issue, a hybrid model combining a lightweight CNN with a Long Short-Term Memory (LSTM) network is proposed. …”
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Automatic Classification of Multilanguage Scientific Papers to the Sustainable Development Goals Using Transfer Learning by Lya Hulliyyatus Suadaa, Anugerah Karta Monika, Berliana Sugiarti Putri, Yeni Rimawati

“…The proposed method addresses the scalability issue in SDG classification and lays the groundwork for more efficient systems that can handle the multilingual nature of modern scientific publications.…”
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Robust Classification via Finite Mixtures of Matrix Variate Skew-<i>t</i> Distributions by Abbas Mahdavi, Narayanaswamy Balakrishnan, Ahad Jamalizadeh

“…To address this issue, one common approach is to introduce a tail or skewness parameter to a symmetric distribution. …”
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