Integrating LiDAR Point Cloud Classification and Building Footprints for Enhanced 3D LOD Building Modeling: A Deep Learning Approach by L. Lakshmanan, S. Nagarajan

“…3D Building modeling is crucial for urban planning, helping stakeholders make informed decisions on critical issues such as flood risk assessment, urban heat island effect, and sustainable infrastructure development. …”
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Secret Elliptic Curve-Based Bidirectional Gated Unit Assisted Residual Network for Enabling Secure IoT Data Transmission and Classification Using Blockchain by Mahaboob Basha Shaik, Yamarthi Narasimha Rao

“…In recent days, a wide range of Internet of Things (IOT) related applications are employed for automated services. Various issues such as security, reliability and fault tolerance has restricted the use of IoT services in real time environments. …”
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Advanced deep learning and transfer learning approaches for breast cancer classification using advanced multi-line classifiers and datasets with model optimization and interpretabi... by Xiang Zhang, Wei Shao, Ming Qiu, Chenglin Xiao, Liming Ma

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Advancing Skin Disease Diagnosis: A Multimodal Approach Utilizing Telegram Api Token Chatbot for Text and Image Analysis in Skin Disease Classification by Modigari Narendra, T. S. Harshini, L. Jani Anbarasi

“…Additionally, the accuracy and generalization capability of the classification system is improved by analysing the data from both the chatbot and image analysis. …”
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An automated privacy-preserving self-supervised classification of COVID-19 from lung CT scan images minimizing the requirements of large data annotation by Sadia Sultana Chowa, Md Rahad Islam Bhuiyan, Mst. Sazia Tahosin, Asif Karim, Sidratul Montaha, Md. Mehedi Hassan, Mohd Asif Shah, Sami Azam

“…Abstract This study presents a novel privacy-preserving self-supervised (SSL) framework for COVID-19 classification from lung CT scans, utilizing federated learning (FL) enhanced with Paillier homomorphic encryption (PHE) to prevent third-party attacks during training. …”
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Electronic money in russia: current state and problems of development by T. G. Bondarenko, E. A. Isaeva

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FDCN-C: A deep learning model based on frequency enhancement, deformable convolution network, and crop module for electroencephalography motor imagery classification. by Hong-Jie Liang, Ling-Long Li, Guang-Zhong Cao

“…Whereas the utilization efficiency of EEG features in frequency and temporal domain is not sufficient, which results in poor MI classification performance. To address this issue, an EEG-based MI classification model based on a frequency enhancement module, a deformable convolutional network, and a crop module (FDCN-C) is proposed. …”
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Evaluation of thyroid lesions by fine-needle aspiration cytology based on Bethesda system for reporting thyroid cytopathology classification among the population of South Bihar by Richa Bhartiya, Mahasweta Mallik, Nawanita Kumari, Brijendra Narayan Prasad

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An explainable ensemble approach for advanced brain tumor classification applying Dual-GAN mechanism and feature extraction techniques over highly imbalanced data. by Priyanka Roy, Fahim Mohammad Sadique Srijon, Pankaj Bhowmik

“…This study focuses on achieving high classification accuracy while prioritizing stable performance. …”
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The Implementation Path for a Policy Balancing Cultivated Land Occupation and Reclamation Based on Land-Type Classification—A Case Study in Heilongjiang Province by Yanan Liu, Wei Zou, Kening Wu, Xiao Li, Xiaoliang Li, Rui Zhao

“…Food security is a fundamental issue that has long been of great concern, and cultivated land resources are the core elements of food security. …”
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Reflection of nano-problems in the thesaurus on semiconductor physics by V. N. Beloozerov, N. N. Shaburova

“…Elements (descriptors) of the thesaurus are the names of the classes of different classification systems: international UDC and PACS, domestic BBK, SRSTI (GRNTI), VINITI Rubricator and specialized nanotechnological classifications. …”
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Current concepts of chronic gastritis and gastropathies: new international consensus RE.GA.IN by S.M. Tkach, N.V. Kharchenko, A.E. Dorofieiev, Yu.Z. Hurkalo, L.M. Ryzhiy

“…The following topics were considered in the consensus: 1) definition and classification issues of gastritis; 2) spectrum of H.pylori gastritis; 3) key diagnosis of H.pylori gastritis; 4) H.pylori gastritis: clinical results; 5) autoimmune gastritis; 6) gastritis of low prevalence; 7) gastritis and gastric microbiota; 8) epidemiology of gastritis and associated precancerous and neoplastic lesions. …”
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Automatic Maize Leaf Disease Recognition Using Deep Learning by Muhammet Çakmak

“…Therefore, computer-aided diagnostic systems offer a promising solution for disease detection issues. While traditional machine learning methods require perfect manual feature extraction for image classification, deep learning networks extract image features autonomously and function without pre-processing. …”
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Persebaran Subjek Artikel-Artikel Jurnal Tik Ilmeu 2017-2022 by Faisal Syarifudin

“…Subjects were grouped according to the JITA Classification System of Library and Information Science. …”
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IMP‐DETR: Optimization model for defect detection of injection‐moulded products by Anzhan Liu, Lei Han

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Optimizing machine learning for enhanced automated ECG analysis in cardiovascular healthcare by Keyi Tang, Shuyuan Ma, Xiaohui Sun, Dongfang Guo

“…The proposed approach demonstrates promising results in accurately categorizing heartbeats, offering a potential solution to the limitations of current classification methods. By optimizing classification models with metaheuristic algorithms, such as JADE, the study achieves significant performance improvements, highlighting the effectiveness of integrating advanced optimization techniques into ECG analysis processes. …”
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Managing Corruption Risk in the Agricultural Sector of Kazakhstan and Its Assessment by G. Т. Siximbayeva, N. Juraj, M. M. Khalitova, Zh. G. Imangali

“…Within the framework of the agricultural specifics, the classification of corruption risks is given. The authors also investigate this risk category’s prerequisites, features, and types. …”
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Herb stratum diversity and community structure in Gurez valley of Kashmir Himalaya: application of multivariate techniques in community analyses by Ashaq Ahmad Dar, Narayanaswamy Parthasarathy

“…The study outlines a methodological workflow based on analytical methods and vegetation-plot data that describe vegetation groups and might be helpful in further in-depth vegetation classification syntheses and decision-making in conservation, global change issues, and management.…”
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Predicting Block Delays in Bitcoin Blockchain via Bayesian and Non-Bayesian Logistic Regression by Phumzile T. Mgcima, Wilson Tsakane Mongwe, Peter O. Olukanmi

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CentralMaizeGuard: Enhanced deep learning model for maize disease detection and management by Fathe Jeribi, Ali Tahir, Nadim Rana, Jayabrabu Ramakrishnan, R. John Martin

“…This paper addresses prevailing challenges in disease detection by introducing a customized CenterNet approach, incorporating DenseNet-65 as its foundational architecture. Common issues encountered in traditional disease detection models are addressed through our proposed approach, which demonstrates superior performance in both disease classification and precise localization of affected regions. …”
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