Secure and Fair Cluster Head Selection Protocol for Enhancing Security in Mobile Ad Hoc Networks by B. Paramasivan, M. Kaliappan

“…In this paper, a secure and fair cluster head selection protocol (SFCP) is proposed which integrates security factors into the clustering approach for achieving attacker identification and classification. Byzantine agreement based cooperative technique is used for attacker identification and classification to make the network more attack resistant. …”
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A Multi-Strategy Optimized Framework for Health Status Assessment of Air Compressors by Dali Hou, Xiaoran Wang

“…Finally, Bidirectional Long Short-Term Memory (BiLSTM) networks are employed for health status assessment and classification of the air compressor. The Ivy algorithm (IVYA) is introduced to optimize the BiLSTM’s hyperparameters to improve classification accuracy and avoid local optima. …”
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Positive–negative prototypes fusion framework for open set recognition by Xincheng Zhong, Junbiao Cui

“…Abstract The central obstacle in Open Set Recognition (OSR) is striking a balance between minimizing classification errors on known data and managing the risks posed by open space for unknown data. …”
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A Regulation-Based Security Evaluation Method for Data Link in Wireless Sensor Network by Claudio S. Malavenda, F. Menichelli, M. Olivieri

“…This approach allows us to produce a precise security evaluation and classification methodology for WSN protocols. The results show that current protocols do not present a complete coverage of security issues. …”
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Development of adaptive mechanisms of budget planning in the field of marketing activities in a turbulent economic environment by A. A. Sazonov, M. V. Sazonova

“…An extensive classification of changes in the field of marketing has been given depending on the level of scale of changes in marketing activity plans at different time stages of planning. …”
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Frequency-Domain Hybrid Model for EEG-Based Emotion Recognition by Jinyu Liu, Naidan Feng, Yongquan Liang

“…However, noise, artifacts, and signal distortions present challenges that limit classification accuracy and robustness. To address these issues, we propose ECA-ResDNN, a novel hybrid model designed to leverage the frequency, spatial, and temporal characteristics of EEG signals for improved emotion recognition. …”
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Analysis of quantitative and qualitative parameters influencing the housing planning of the country’s Provinces by malihe Izadi, Hamid reza varesi, Mahmod mahmodzadeh

“…Attention to housing and planning in line with sustainable development in the framework for planning national and regional is to our use of the knowledge and techniques of programming, existing situation and issues related to it is made clear that. To the main goal this research study and the analysis of the most tiresome effective in planning housing classification level and province of the country based on.This is a descriptive method of research-analysis. collecting data with the use of the results of the census and public housing in 1390 and resources library and documents and evidence have been done. …”
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Development and Feasibility Study of HOPE Model for Prediction of Depression Among Older Adults Using Wi-Fi-based Motion Sensor Data: Machine Learning Study by Shayan Nejadshamsi, Vania Karami, Negar Ghourchian, Narges Armanfard, Howard Bergman, Roland Grad, Machelle Wilchesky, Vladimir Khanassov, Isabelle Vedel, Samira Abbasgholizadeh Rahimi

“…Additionally, most depression classification studies involve large participant groups and use single-stage classifiers without explainability. …”
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EMSAM: enhanced multi-scale segment anything model for leaf disease segmentation by Junlong Li, Quan Feng, Jianhua Zhang, Jianhua Zhang, Sen Yang

“…EMSAM integrates lightweight linear layers as classification heads and employs a joint loss function for both classification and segmentation tasks. …”
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Optimizing machine learning algorithms for diabetes data: A metaheuristic approach to balancing and tuning classifiers parameters by Hauwau Abdulrahman Aliyu, Ibrahim Olawale Muritala, Habeeb Bello-Salau, Salisu Mohammed, Adeiza James Onumanyi, Ore-Ofe Ajayi

“…Diabetes mellitus poses a global health concern, prompting the development of machine learning algorithms designed to construct a model for the accurate classification of patients, enabling precise diagnoses and early-stage treatment. …”
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Urban Functional Zone Identification Based on Multimodal Data Fusion: A Case Study of Chongqing’s Central Urban Area by Yongchuan Zhang, Yuhong Xu, Jie Gao, Zunya Zhao, Jing Sun, Fengyun Mu

“…The method achieved an overall accuracy of 84.13% on the test set of Chongqing’s main urban area, demonstrating high accuracy and robustness in UFZ classification tasks. The experimental results show that the TriNet model performs effectively in UFZ classification.…”
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Neurophysiological Approaches to Lie Detection: A Systematic Review by Bewar Neamat Taha, Muhammet Baykara, Talha Burak Alakuş

“…The goal is to summarize commonly used EEG signal processing techniques, feature extraction methods, and classification algorithms, identifying those that yield the highest accuracy in lie detection tasks. …”
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Selected methods of pathological speech signal analysis by W. WSZOŁEK

“…Such a classification can also help in the optimal therapy selection and in determining rehabilitation recommendations. …”
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AFDR-Det: Adaptive Feature Dual-Refinement Oriented Detector for Remote Sensing Object Detection by Jie Yang, Li Zhou, Yongfeng Ju

“…Additionally, most head networks use two branch networks to implement object localization and classification tasks separately, resulting in a lack of information interaction between the classification and localization tasks, leading to spatial feature misalignment issues. …”
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Using social media for environmental insight: a multi-model deep learning framework approach by Minglu Che, Chengyao Wang, Yanyun Nian, Pinqi Rao

“…Monitoring ecological conditions and detecting environmental issues are critical for safeguarding human health and sustainable development. …”
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Mapping urban functional zones with remote sensing and geospatial big data: a systematic review by Shouhang Du, Xiuyuan Zhang, Yichen Lei, Xin Huang, Wei Tu, Bo Liu, Qingyan Meng, Shihong Du

“…Meanwhile, future opportunities to these issues and the expansion of functions from 2D to 3D are discussed, in order to formulate an enhanced UFZ mapping framework.…”
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Representation of Medical Content in Online Discourse by I. I. Torubarova

“…The article discusses issues of representing medical information in online communities. …”
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A Promising Methodological Approach to Identifying Areas with the Greatest Potential for the Development of the City Cycling Infrastructure by O. А. Grishina, A. I. Grishin, I. A. Stroganov

“…It is worthnoting that these sources lack any significant methodological unity, and approaches to the issues under consideration differ significantly. Among the methods used in this study, it is necessary to distinguish the methods of the theoretical group: analysis, synthesis, abstraction, generalization, application of analogies, classification, formalization. …”
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FUNDING PUBLIC INSTITUTIONS IN ROMANIA by Florin-Constantin, DIMA

“…It also presents a brief classification of the public institutions according to several criteria, as well as their financing sources. …”
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Elderly-onset rheumatoid arthritis: an outlook from a practicing rheumatologist by Ch. Baimukhamedov

“…All current challenges and concerns associated with rheumatoid arthritis (RA) in the elderly are analyzed from the point of view of a practicing rheumatologist, including issues of terminology and diagnostics, the need to develop classification criteria for RA presenting at old age. …”
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