Fault location and isolation technology for power grid automation based on intelligent algorithms by Qi Guo, Fuhe Wang, Suxia Cheng, Ke Wang, Yifan Zhang

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Machine Learning Aided Resilient Spectrum Surveillance for Cognitive Tactical Wireless Networks: Design and Proof-of-Concept by Eli Garlick, Nourhan Hesham, MD. Zoheb Hassan, Imtiaz Ahmed, Anas Chaaban, MD. Jahangir Hossain

“…Detecting the presence of an unknown and remote interference source in a frequency band from the transmitter end is also challenging, especially when the received interference power remains at or below the noise floor. To address these issues, this paper proposes an automated interference detection framework, entitled <inline-formula> <tex-math notation="LaTeX">$\textsf {MARSS}$ </tex-math></inline-formula> (Machine Learning Aided Resilient Spectrum Surveillance). …”
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Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…After multiple iterations through the MLEs, these tokens are fed into a Multi-Layer Perceptron for final classification predictions, focusing on semantic-level video classification. …”
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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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Slope classification of Slovenia and selected field survey results from the Slovenian Motorway Project: A dataset for studying the influence of geomorphic processes on the field su... by Luka Gruškovnjak

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The use of Sanskrit, an ancient language, as a tool to evaluate cleft palate speech problems by Gajiwala Kalpesh

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A conditional opposition-based particle swarm optimisation for feature selection by Jingwei Too, Ali Safaa Sadiq, Seyed Mohammad Mirjalili

“…Because of the existence of irrelevant, redundant, and noisy attributes in large datasets, the accuracy of a classification model has degraded. Hence, feature selection is a necessary pre-processing stage to select the important features that may considerably increase the efficiency of underlying classification algorithms. …”
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The Impact of Feature Extraction in Random Forest Classifier for Fake News Detection by Dhani Ariatmanto, Anggi Muhammad Rifai

“…The pervasive issue of fake news spreading rapidly on online platforms. causing a concerning dissemination of misinformation. …”
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Is chronic venous ulcer curable? A sample survey of a plastic surgeon by V Alamelu

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Automated Seizure Detection through EEG Analysis and Deep Learning Technique by Srinivas Nowduri, M. Madhusudhana Subramanyam

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Intelligent Computed Tomography-based Detection Method for Lithium Battery Mylar Film Damage by Menglei LI, Dimeng XIA, Guoyang LIN, Shusen ZHAO

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A Hubness Information-Based k-Nearest Neighbor Approach for Multi-Label Learning by Zeyu Teng, Shanshan Tang, Min Huang, Xingwei Wang

“…Multi-label classification (MLC) plays a crucial role in various real-world scenarios. …”
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INFANT ASTHMA: KEY PRINCIPLES OF CONTROL ATTAINMENT IN THE MODERN STAGE by E.A. Vishneva, L. S. Namazova-Baranova, A. A. Alekseeva, K. E. Efendieva, Yu. G. Levina, N. I. Voznesenskaya, L. R. Selimzyanova, A. Yu. Tomilova, E. A. Promyslova

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The conflict initiation and resolution rules in constitutional and municipal law by Irina A. Tretyak

“…The author attempts to research the constitutional and municipal legal norms that may cause and resolve the constitutional conflicts, offers their classification on certain grounds, analyzes scientific researches on this topic. …”
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A Comparative Investigation of Transfer Learning Frameworks Using OCT Pictures for Retinal Disorder Identification by Ghadah Naif Alwakid, Mamoona Humayun, Walaa Gouda

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Non-Destructive Identification of Wool and Cashmere Fibers Based on Cascade Optimizations of Interval-Wavelength Selection Using NIR Spectroscopy by Xin Chen, Qingle Lan, Yaolin Zhu, Jinni Chen

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Graph-based vision transformer with sparsity for training on small datasets from scratch by Peng Li, Lu Huang, Jin Li, Haiyan Yan, Dongjing Shan

“…To address this issue, we propose a Graph-based Vision Transformer (GvT) that utilizes graph convolutional projection and graph-pooling. …”
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Fuzzy Decision Tree Based on Fuzzy Rough Sets and Z-Number Rules by Boya Zhu, Jingqian Wang, Xiaohong Zhang

“…However, information in the real world often has uncertainty and partial reliability, which poses challenges for classification tasks. To address this issue, this paper proposes a fuzzy decision tree based on fuzzy rough sets and Z-numbers, aimed at enhancing the decision tree’s ability to handle fuzzy and uncertain information. …”
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Hybrid Intersection Over Union Loss for a Robust Small Object Detection in Low-Light Conditions by Twahir Kiobya, Junfeng Zhou, Baraka Maiseli, Maqbool Khan

“…Also, it jointly works with the classification loss to offer a joint optimization that facilitates a network to learn features that are important for both localization and classification. …”
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Enhancing kidney stone diagnosis with AI-driven radiographic imaging: a review by Nisha Vasudeva, Vijaypal Singh Dhaka, Deepak Sinwar

“…Kidney stone identification and classification are often addressed in the literature using multi-modal imaging data where different modalities capture different aspects of the disorder. …”
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