Towards Ensemble Feature Selection for Lightweight Intrusion Detection in Resource-Constrained IoT Devices by Mahawish Fatima, Osama Rehman, Ibrahim M. H. Rahman, Aisha Ajmal, Simon Jigwan Park

“…However, most IoT devices are resource-constrained with limited processing power, memory storage, and energy sources. …”
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A Comprehensive Review of Food Safety Culture in the Food Industry: Leadership, Organizational Commitment, and Multicultural Dynamics by Ashwini Sadashiv Pai, Swarna Jaiswal, Amit K. Jaiswal

“…This article also provides a comparative analysis of FSC across various sectors, such as meat and dairy processing, identifying sector-specific challenges and best practices. …”
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Distributed Heuristic Algorithm for Migration and Replication of Self-organized Services in Future Networks by Manar AL-jabr, Ali Diab, Jomana AL-Diab

“…It is obvious that the existing infrastructures in current networks will not be able to support all the generated data due to the bandwidth limits, processing and transmission overhead. To cope with these issues, future mobile communication networks must achieve high requirements to reduce the amount of transferred data, decrease latency and computation costs. …”
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Recognition model for major depressive disorder in Arabic user-generated content by Esraa M. Rabie, Atef F. Hashem, Fahad Kamal Alsheref

“…Depression, as reported by the WHO, is the second-largest factor in the worldwide burden of illnesses. As these issues grow, social media has become a tremendous platform for people to express themselves. …”
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INTENSIVE CARE OF CHILDREN WITH MASSIVE BURNS DURING THE FIRST 24 HOURS AFTER THE INJURY – RESULTS OF THE INTERACTIVE SURVEY by A. U. Lekmanov, D. K. Azovskiy, S. F. Pilyutik, L. I. Budkevich

“…Respondents were supposed to answer 26 questions on the actual issues of intensive care of burns. The participation in the survey was free and voluntary, no remuneration was paid for it. …”
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Enhanced Hybrid Deep Learning Model With Improved Self-Attention Mechanism for Legal Judgment Prediction by G. Sukanya, J. Priyadarshini

“…The dawn of Natural Language Processing in the legal research field has achieved great heights. …”
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Pyramidal Predictive Network V2: An Improved Predictive Architecture and Training Strategies for Future Perception Prediction by Chaofan Ling, Junpei Zhong, Weihua Li, Ran Dong, Mingjun Dai

“…While PPNV1 employed a temporal pyramid architecture and demonstrated promising results, its innate signal processing led to aliasing in the prediction, restricting its application in robotic navigation. …”
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Unmanned Ground Vehicles for Continuous Crop Monitoring in Agriculture: Assessing the Readiness of Current ICT Technology by Maurizio Agelli, Nicola Corona, Fabio Maggio, Paolo Vincenzo Moi

“…ICT can facilitate this process using autonomous Unmanned Ground Vehicles (UGVs) to navigate crops, detect issues, georeference them, and report to human experts in real time. …”
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Synthesis of an Algorithm for Classifying Underwater Objects on Based on the Analysis of their Noise Spectra by Evgeniy Storozhok, Vladimir Kristalinskii

“…The need to reduce the probability of false alarms in such systems actualizes the issues of developing an optimal algorithm for classifying underwater objects by their sonar field. …”
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Identity-based linear homomorphic signature for a restricted combiners’ group for e-commerce by Yuan Tian, Weitao Song, Tanping Zhou, Bin Hu, Xuan Zhou, Yujie Ding, Weidong Zhong, Xiaoyuan Yang

“…As the volume of electronic transaction data increases and the demand for real-time processing grows, network coding techniques have become popular for improving performance. …”
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A Symmetric Projection Space and Adversarial Training Framework for Privacy-Preserving Machine Learning with Improved Computational Efficiency by Qianqian Li, Shutian Zhou, Xiangrong Zeng, Jiaqi Shi, Qianye Lin, Chenjia Huang, Yuchen Yue, Yuyao Jiang, Chunli Lv

“…This paper proposes a data security training framework based on symmetric projection space and adversarial training, aimed at addressing the issues of privacy leakage and computational efficiency encountered by current privacy protection technologies when processing sensitive data. …”
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Experimental statistical analysis of radar signals reflected from weather hazards by E. S. Boyarenko, E. A. Bolelov, O. V. Vasiliev, S. S. Korotkov

“…For the effective operation of aviation, it is necessary to solve the issues of the timely detection of weather hazards and the identification of their intensity. …”
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Environmental regulation, green innovation, and international competitiveness of manufacturing enterprises in China: From the perspective of heterogeneous regulatory tools. by Yuanhong Hu, Sheng Sun, Yixin Dai

“…Market-incentive regulation promotes processing and mixed trade enterprises as well as domestic and foreign-funded enterprises. …”
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Electricity Data Quality Enhancement Strategy Based on Low-Rank Matrix Recovery by Guo Xu, Xinliang Teng, Lei Zhang, Jianjun Xu

“…Given the near full-rank nature of low-voltage distribution area electricity consumption data, this paper employs clustering to enhance the low-rank property of the data. Addressing common issues such as missing data, sparse noise, and Gaussian noise in electricity consumption data, this paper proposes a multi-norm optimization model based on low-rank matrix theory. …”
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Navigating a New Terrain: Exploring the Challenges Confronting Lesotho’s Novice Secondary School Principals by Sepiriti Sepiriti, Kelello Alicia Rakolobe, Tebello Tlali

“…The study recommends prompt processing and issuing of appointment letters and aligned salaries, induction of novice principals, training of school boards and transfer of demoted principals. …”
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Time Series Data Generation Method with High Reliability Based on ACGAN by Fang Liu, Yuxin Li, Yuanfang Zheng

“…In the process of big data processing, especially in fields like industrial fault diagnosis, there is often the issue of small sample sizes. …”
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Risk management in biobanking by A. L. Borisova, M. S. Pokrovskaya, A. N. Meshkov, A. V. Kontsevaya, O. M. Drapkina

“…The work carried out made it possible to identify, analyze and evaluate a wide range of potential negative events and actions that could lead to biobank damage, both in the form of financial losses and ethical and technical issues related to the biobanking process. A significant reduction in the frequency of emergency events and the high stability of the biobank operation under the influence of various external factors prove the effectiveness of the approach used.Conclusion. …”
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Threshold-Optimized Swarm Decomposition Using Grey Wolf Optimizer for the Acoustic-Based Internal Defect Detection of Arc Magnets by Qinyuan Huang, Qiang Li, Maoxia Ran, Xin Liu, Ying Zhou

“…Swarm decomposition (SWD) is conducive to processing acoustic signals, but it is still confronted with threshold optimization problems. …”
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Benchmarking of Anomaly Detection Methods for Industry 4.0: Evaluation, Ranking, and Practical Recommendations by Aurélie Cools, Mohammed Amin Belarbi, Sidi Ahmed Mahmoudi

“…Image-based quality control has become critical in industries such as automotive, electronics, aerospace, and food processing, where visual appearance is a key quality indicator. …”
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Consumer Preferences for Natural Honey in Simferopol, Russia by Olga N. Gutnikova, Lilyа E. Pavlunenko

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