Students' performance prediction employing Decision Tree by Abtahi Ahmed, Farzana Akter Nipa, Wasi Uddin Bhuyian, Khaled Md Mushfique, Kamrul Islam Shahin, Huu-Hoa Nguyen, Dewan Md. Farid

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Mi-maml: classifying few-shot advanced malware using multi-improved model-agnostic meta-learning by Yulong Ji, Kunjin Zou, Bin Zou

“…However, it is limited by the reliance on a large number of high-quality labeled datasets and the issue of overfitting. These limitations hinder the accurate classification of advanced malware with only a few samples available. …”
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Preliminary results of the Pilot Project «Development of the Medical Rehabilitation System in the Russian Federation» in the city hospital № 26 (Saint Petersburg). Using «ICF reade... by A. A. Shmonin, M. N. Maltseva, V. V. Nikiforov, E. V. Melnikova, G. E. Ivanova, V. I. Dorofeev

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Artificial Intelligence in Dermatology: A Review of Methods, Clinical Applications, and Perspectives by Agnieszka M. Zbrzezny, Tomasz Krzywicki

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The characteristics of Roman Private Law Sources by K. S. Naumenko

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Sara Detection on Social Media Using Deep Learning Algorithm Development by M. Khairul Anam, Lucky Lhaura Van FC, Hamdani Hamdani, Rahmaddeni Rahmaddeni, Junadhi Junadhi, Muhammad Bambang Firdaus, Irwanda Syahputra, Yuda Irawan

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Integrated Diagnostics and Prognostics of Rotating Machinery by Kam W. Ng

“…Technical issues, recommendations, and future research directions are also addressed.…”
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Conflits de proximité et rapport(s) au(x) droit(s) by Antonio Azuela, Patrice Melé, Vicente Ugalde

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Fractal and chaotic map-enhanced grey wolf optimization for robust fire detection in deep convolutional neural networks by Yassine Bouteraa, Mohammad Khishe

“…Abstract This paper introduces a novel approach to enhancing the architecture of deep convolutional neural networks, addressing issues of self-design. The proposed strategy leverages the grey wolf optimizer and the multi-scale fractal chaotic map search scheme as fundamental components to enhance exploration and exploitation, thereby improving the classification task. …”
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Predicting Bank Loan Risks Using Machine Learning Algorithms by Maan Alsaleem, Safwan Hasoon

“…Nowadays, there are many risk-related issues associated with bank loans. With the advent of computerization systems, banks have become able to register borrowers' data according their criteria. …”
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Multi‐function radar work mode recognition based on residual shrinkage reconstruction recurrent neural network by Lihong Wang, Kai Xie

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A Closest Resemblance Classifier with Feature Interval Learning and Outranking Measures for Improved Performance by Nabil Belacel

“…Additionally, traditional methods often struggle with noisy or missing data. To address these issues, we propose novel classification methods based on feature partitioning and outranking measures. …”
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Decision Making Support System for the Diagnostics of the Cardiovascular System Pathologies by the X-ray Images of the Chest by A. G. Radzhabov

“…One of the most impor tant issues in solving the problems of automating the classification of medical images is data preparation. …”
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Bacterial Disease Detection of Cherry Plant Using Deep Features by Hatice Kayhan, Emrah Dönmez, Yavuz Ünal

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Modern  trends  of  development  of  economic  Analysis  Methods by N.   S.  Plaskova, Е. V. Prokofieva

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An Indian UAV and leaf image dataset for integrated crop health assessment of soybean cropMendeley Data by Sayali Shinde, Vahida Attar

“…However, despite of its significance, several issues such as weeds, diseases, and pests hamper the overall productivity of soybean. …”
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Detection of Suicidal Ideation on Twitter using Machine Learning & Ensemble Approaches by Syed Tanzeel Rabani, Qamar Rayees Khan, Akib Mohi UD Din Khanday

“…Suicidal ideation is one of the most severe mental health issues faced by people all over the world. There are various risk factors involved that can lead to suicide. …”
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Early Detection of Alzheimer’s Disease: An Extensive Review of Advancements in Machine Learning Mechanisms Using an Ensemble and Deep Learning Technique by Renjith Prabhavathi Neelakandan, Ramesh Kandasamy, Balasubramani Subbiyan, Mariya Anto Bennet

“…Moreover, the Synthetic Minority Oversampling Technique (SMOTE) is employed to address class imbalance issues. The proposed system employs an Ensemble Classification algorithm, which integrates the outcomes of multiple predictive models to enhance diagnostic accuracy. …”
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Novel insights toward diagnosis and treatment of glioneuronal and neuronal tumors in young adults by Vincenzo Di Nunno, Marta Aprile, Lidia Gatto, Alicia Tosoni, Lucia Ranieri, Stefania Bartolini, Enrico Franceschi

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A Focal Attention-Based Large Convolutional Kernel Network for Anomaly Detection of Coated Fuel Particles by Zhaochuan Hu, Jiang Yu, Hang Zhang, Jian Liu, Ning Chen, Rong Li

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