Algorithms for managing patients with structural heart abnormalities in therapeutic practice by E. A. Barabanova, A. A. Arakelyants, T. V. Zaugolnikova, T. E. Morozova

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Framelet transform based edge detection for straight line detection from remote sensing images by Vidhya Rangasamy, Sulochana Subramaniam

“… Edge detection has been widely used as a pre-processing step for image processing applications such as region segmentation, feature extraction and object boundary description. …”
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Unobtrusive Sleep Posture Detection Using a Smart Bed Mattress with Optimally Distributed Triaxial Accelerometer Array and Parallel Convolutional Spatiotemporal Network by Zhuofu Liu, Gaohan Li, Chuanyi Wang, Vincenzo Cascioli, Peter W. McCarthy

“…To address these issues, we have developed a low-cost non-contact sleeping posture detection system. Our system features eight optimally distributed triaxial accelerometers, providing a comfortable and non-contact front-end data acquisition unit. …”
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A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach by Srikanth Meda, Vangipuram Sesha Srinivas, Killi Chandra Bhushana Rao, Repudi Ramesh, Narasimha Rao Yamarthi

“…To improve the effectiveness of the classification approach, the hyperparameters present in the SHQCNN model are fine-tuned using the shuffled shepherd optimization algorithm (SSOA). Results In the post-deployment phase, the URL is encoded using Optimized Bidirectional Encoder Representations from Transformers (OptBERT), after which the features are extracted. …”
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Pathogenesis, clinical features, and treatments of depression in Parkinson's disease by I. V. Milyukhina

“…The paper considers the etiology and pathogenesis, cause-and-effect factors of depression in PD, and features of its diagnosis and treatment. Attention is paid to the algorithm for a physician's actions in the detection of depressive disorder in a patient with PD, to the choice of an antidepressant, and to the promising areas of therapy.…”
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The Morphological Classification of Galaxy Clusters: Algorithms for Applying the Numerical Criteria by Elena Panko

“…Other types of substructures can also be detected with corresponding algorithms. As a result, we can analyze intracluster features, such as crosses, semi-crosses, complex crosses, and compact dense chains. …”
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Enhancing Relationship Link Prediction With Hierarchical Feature Enhancement by Zhouying Xu, Huiyue Wang

“…The network-level features are obtained through a soft-partitioning overlapping community detection algorithm, namely BIGCLAM(Cluster Affiliation Model for Big Networks). …”
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Features of laboratory tests for diagnosis of rubella in pregnant women by T. D. Grigor’eva, M. A. Belopolskaya, S. S. Vashukova, N. G. Makarova, N. V. Andreeva

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Overview of Deep Learning Algorithms and Optimizers for Brain Tumor Segmentation by Nisha Purohit, Chandi Prasad Bhatt

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Clinical and Molecular Genetic Features of Autoinflammatory Syndromes in Children by Е. I. Alexeeva, K. V. Savostyanov, Т. V. Sleptsova, А. А. Pushkov, S. I. Valieva, Т. М. Bzarova, K. B. Isaeva, Е. G. Chistyakova, А. М. Chomakhidze, R. V. Denisova, А. G. Nikitin, А. V. Pakhomov

“…The data about their pathogenesis, clinical features, diagnosis and treatment is presented. Conclusion: It is shown that early detection and adequate treatment of patients with autoinflammatory syndromes, characterized by severe disease and serious prognosis, is difficult due to lack of awareness of pediatricians and unavailability of genetic diagnosis of these syndromes. …”
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Research on Microscale Vehicle Logo Detection Based on Real-Time DEtection TRansformer (RT-DETR) by Meiting Jin, Junxing Zhang

“…To address this issue, we propose a microscale vehicle logo dataset (VLD-Micro) that improves the detection of distant vehicle logos. Building upon the RT-DETR algorithm, we propose a lightweight vehicle logo detection algorithm for long-range vehicle logos. …”
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A Study on the SLAM of Automotive Vehicles Using Bumper-Mounted Dual LiDAR by Jae-Hun Jang, Hyeong-Jun Kim, Kyung-Chang Lee

“…This study proposes a localization and three-dimensional (3D) mapping algorithm for autonomous vehicles using bumper-mounted light detection and ranging (LiDAR) sensors. …”
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Artificial intelligence-driven ensemble deep learning models for smart monitoring of indoor activities in IoT environment for people with disabilities by Munya A. Arasi, Hussah Nasser AlEisa, Amani A. Alneil, Radwa Marzouk

“…Furthermore, the marine predator algorithm is employed in feature selection. For the detection of indoor activities, the proposed MOEM-SMIADP model utilizes an ensemble of three classifiers, namely the graph convolutional network model, long short-term memory sequence-to-sequence (LSTM-seq2seq) method, and convolutional autoencoder. …”
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A Hybrid Security Framework for Train-to-Ground (T2G) Communication Using DOA-Optimized BPNN Detection, Bayesian Risk Scoring, and RL-Based Response by Chaoyuan Sun, Weijiao Zhang, Peng Sun, Hui Wang, Chunhui Yang

“…First, feature selection is performed on the TON_IoT dataset to develop a Dream Optimization Algorithm (DOA)-optimized backpropagation neural network (DOA-BPNN) model for efficient anomaly detection. …”
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A Framework for Flood Disaster Detection From Remote Sensing Images Using Spatiotemporal Fusion With Digital Twin Technology by Se-Jung Lim, K. Sakthidasan Sankaran, Anandakumar Haldorai

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Link Prediction in Social Networks Using the HTOA by Foad Asef, Vahid Majidnezhad, Mohammad-Reza Feizi-Derakhshi

“…This study introduces a novel approach to link prediction in social networks by employing the Heat Transfer Optimization Algorithm (HTOA) for topological feature selection. …”
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Enhanced Detection of Intrusion Detection System in Cloud Networks Using Time-Aware and Deep Learning Techniques by Nima Terawi, Huthaifa I. Ashqar, Omar Darwish, Anas Alsobeh, Plamen Zahariev, Yahya Tashtoush

“…By examining the timing between packets and other statistical features, we detected patterns of malicious activity, allowing early and effective DoS threat mitigation. …”
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Dual-Modal Fusion PRI-SWT Model for Eddy Current Detection of Cracks, Delamination, and Impact Damage in Carbon Fiber-Reinforced Plastic Materials by Rongyan Wen, Chongcong Tao, Hongli Ji, Jinhao Qiu

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Infrared image monitoring algorithm for converter valve equipment by Jiashui Dai, Fali Tan, Yi Jiang, Yunlong Liang, Kangquan Lin, Kai Tong

“…According to the high requirements for the target detection algorithm in the converter valve scenario, lightweight PConv convolution is introduced to improve the C2f module of YOLOv8n, and Slim-neck improvement of the feature fusion layer is made. …”
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An overview of Cuckoo Optimization Algorithm based Image Processing by Baydaa sulaiman

“…The main categories reviewed that used CS in the field of image processing are: image segmentation, image optimization, image noise removal, image classification, feature extraction in images, image clustering and edge detection. …”
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