Advances in research on technologies for large-scale coal gangue utilization for green mine construction by Quanlin SHI, Lihua LONG, Qian YANG, Shaohui WANG, Dawei XIE

“…Finally, this study points out some issues concerning the utilization of coal gangue, including challenges in the full stimulation and utilization of the activity of coal gangue, the absence of classification and pretreatment in the early stage, high cost of utilization as underground backfilling and grouting materials, and a lack of incentive policies for large-scale utilization. …”
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FINANCIAL MONITORING: SPECIFIC FEATURES AND IMPLEMENTATION FORMS by D. V. Karpuhin, A. V. Lapin

“…The recent decade has seen the rapid development of scientific concepts exploring financial control issues. The authors and leading scholars discuss the essence of the concept of “financial monitoring”, its characteristics and classifications. …”
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A damage assessment method based on recent-time acoustic emission events for composite interlaminar damage by Jingye Hao, Su Ju, Ke Duan, Pengcheng Zou, Congcong Jia, Jinshui Yang, Changping Yin, Dingding Chen

“…The classification results achieved both an accuracy and an F1 score exceeding 90 %. …”
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A Method for Automatic Feature Points Extraction of Pelvic Surface Based on PointMLP_RegNet by Wei Kou, Rui Zhou, Hongmiao Zhang, Jianwen Cheng, Chi Zhu, Shaolong Kuang, Lihai Zhang, Lining Sun

“…PointMLP_RegNet, a modified PointMLP, was introduced to address this issue. It retains the feature extraction module of PointMLP but replaces the classification layer with a regression layer to predict the coordinates of feature points instead of conducting regular classification. …”
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Integrating artificial intelligence for sustainable waste management: Insights from machine learning and deep learning by Son V.T. Dao, Tuan M. Le, Hieu M. Tran, Hung V. Pham, Minh T. Vu, Tuan Chu

“…As global waste production grows, sustainable waste management (WM) has become an issue for modern societies. This paper explores the integration of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve waste management (WM) systems by enhancing automation, classification accuracy, operational efficiency, and real-time decision-making. …”
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Small Sample Fiber Full State Diagnosis Based on Fuzzy Clustering and Improved ResNet Network by Xiangqun Li, Jiawen Liang, Jinyu Zhu, Shengping Shi, Fangyu Ding, Jianpeng Sun, Bo Liu

“…First, the pretrained residual network (ResNet) is modified by removing the classification layer and retaining the feature extraction layers. …”
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A Transfer Learning Approach for Toe Walking Recognition Using Surface Electromyography on Leg Muscles by Andrea Manni, Gabriele Rescio, Anna Maria Carluccio, Andrea Caroppo, Alessandro Leone

“…The sEMG signal presents significant complexity due to its noisy nature and the challenge of extracting meaningful features for classification. To address this issue and enhance the model’s robustness across different devices and configurations, a Transfer Learning (TL) approach is introduced. …”
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К вопросу о сущности понятия «интеллектуальные услуги»

“…This article focuses on a new, but quite topical issue in a post-industrial society - "knowledge intensive services". …”
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Resting Posture Recognition Method for Suckling Piglets Based on Piglet Posture Recognition (PPR)–You Only Look Once by Jinxin Chen, Luo Liu, Peng Li, Wen Yao, Mingxia Shen, Longshen Liu

“…This study proposes a resting posture recognition method for piglets during lactation based on the PPR-YOLO model, aiming to enhance the detection accuracy and classification capability for different piglet resting postures. …”
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Fast Dynamic Time Warping and Hierarchical Clustering with Multispectral and Synthetic Aperture Radar Temporal Analysis for Unsupervised Winter Food Crop Mapping by Hsuan-Yi Li, James A. Lawarence, Philippa J. Mason, Richard C. Ghail

“…Multiple complimentary strategies to deal with this issue have been developed; one of these approaches is regenerative farming. …”
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Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification by Masoud Muhammed Hassan, Halbast Rashid Ismail

“…In the case of Diabetic Retinopathy (DR), DL models have shown high efficacy in tasks such as classification, segmentation, detection, and prediction. …”
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Extracting Meso- and Microscale Patterns of Urban Morphology Evolution: Evidence from Binhai New Area of Tianjin, China by Xiaojin Huang, Ran Cheng, Jun Wu, Wenjian Yang, Longhao Zhang, Pengbo Li, Wenzhe Zhu

“…Understanding and recognizing urban morphology evolution is a crucial issue in urban planning, with extensive research dedicated to detecting the extent of urban expansion. …”
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Pathogenetic mechanisms of macular holes: a review of recent research work by R. R. Fayzrakhmanov, O. A. Pavlovsky, G. O. Karpov

“…A classification of macular holes is proposed.…”
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A multimodal approach for ADHD with coexisting ASD detection for children by Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Yoichi Tomioka, Yong Seok Hwang, Akiko Megumi, Akira Yasumura

“…Abstract Identifying attention-deficit/hyperactivity disorder (ADHD) with coexisting autism spectrum disorder (ASD) for children is a challenging issue due to their complexity and overlapping symptoms. …”
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THE IMPORTANCE OF FINANCIAL LEVER IN THE MANAGEMENT OF ALTERNATIVE ENERGY DEVELOPMENT by V. Metelytsya, O. Gubar, V. Chaban, O. Perederii, Y. Hryhorenko

“…The improvement of technology reduces the cost of capital and operating costs. But the issue of tariffs, benefits, availability of bank loans and their rates is in the hands of state regulators. …”
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Optimizing Tumor Detection in Brain MRI with One-Class SVM and Convolutional Neural Network-Based Feature Extraction by Azeddine Mjahad, Alfredo Rosado-Muñoz

“…However, medical imaging datasets frequently exhibit class imbalance, posing significant challenges for traditional classification algorithms that rely on balanced data distributions. …”
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Multi-Sensor Information Fusion with Multi-Scale Adaptive Graph Convolutional Networks for Abnormal Vibration Diagnosis of Rolling Mill by Rongrong Peng, Changfen Gong, Shuai Zhao

“…Graph data and multi-sensor information fusion have been integrated into the abnormal vibration type classification and the identification of the rolling mill for extracting spatial–temporal and robust features. …”
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Advanced Deep Learning Approach for Smart Home Appliance Identification Using Recurrent Neural Networks with LSTM by Sana Abdelaziz Bkheet, Johnson I. Agbinya, Gamal Saad Mohamed Khamis

“…One major challenge in smart environments is the ability to accurately distinguish and categorize the various types of objects within these systems. To address this issue, the study introduces a recurrent neural network (RNN) model designed for classifying data from smart home devices. …”
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Differentiating Secondary Dengue Cases using Capture IgG and IgM-based Approaches by P.R. Asish, Gladys Rachel, V. Sindhuja, Josephine Pradhan, Sauvik Dasgupta, Girish Kumar Chethrapilly Purushothaman

“…It is a major public health issue in endemic regions such as India, where secondary infections pose a higher risk of severe illness due to antibody-dependent enhancement. …”
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BS-GAT: a network intrusion detection system based on graph neural network for edge computing by Yalu Wang, Zhijie Han, Ying Du, Jie Li, Xin He

“…Abstract The emergence of Edge Computing has led to an increasingly intricate and widespread issue of network infiltration in Edge Computing devices. …”
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