Optimal Fuzzy Deep Neural Networks-Based Plant Disease Detection and Classification on UAV-Based Remote Sensed Data by M. Pajany, S. Venkatraman, U. Sakthi, M. Sujatha, Mohamad Khairi Ishak

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DeepContainer: A Deep Learning-based Framework for Real-time Anomaly Detection in Cloud-Native Container Environments by Ke Xiong, Zhonghao Wu,  Xuzhong Jia

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A multi-class hybrid variational autoencoder and vision transformer model for enhanced plant disease identification by Folasade Olubusola Isinkaye, Michael Olusoji Olusanya, Ayobami Andronicus Akinyelu

“…It enhances agricultural productivity and supports food security efforts.…”
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Few-shot relation extraction approach for threat intelligence based on multi-level attention mechanism and hybrid prototypical network by Yushun Xie, Junchi Bao, Rui Zong, Zhaoquan Gu, Haiyan Wang

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Dual-Attention-Enhanced MobileViT Network: A Lightweight Model for Rice Disease Identification in Field-Captured Images by Meng Zhang, Zichao Lin, Shuqi Tang, Chenjie Lin, Liping Zhang, Wei Dong, Nan Zhong

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DS-YOLO: A dense small object detection algorithm based on inverted bottleneck and multi-scale fusion network by Hongyu Zhang, Guoliang Li, Dapeng Wan, Ziyue Wang, Jinshun Dong, Shoujun Lin, Lixia Deng, Haiying Liu

“…Firstly, to enhance the dense small objects’ feature extraction capability of backbone network, the paper proposes a lightweight backbone. …”
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SoK: A Reality Check for DNP3 Attacks 15 Years Later by Juan David Parra Rodriguez, Kwasi Boakye-Boateng, Ratinder Kaur, Allyson Zhou, Rongxing Lu, Ali A. Ghorbani

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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…Current anomaly detection methods in healthcare systems, such as artificial intelligence and big data analytics-intracerebral hemorrhage (AIBDA-ICH) and parallel conformer neural network (PCNN), face several challenges, including high resource consumption, inefficient feature selection, and an inability to handle temporal data effectively for real-time monitoring. …”
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Regional experience in organizing the protection of minors from a destructive information environment (by the example of non-central regions) by S. E. Titor

“…Achievements in the field of new technologies, on which the formation of the modern information society is based, have led to the rapid development of the global computer network Internet. The Internet as a means of social communication has both a positive impact on the world community and has negative consequences. …”
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A Hybrid Deep Learning Model for Network Intrusion Detection System Using Seq2Seq and ConvLSTM-Subnets by S. Hariharan, Y. Annie Jerusha, G. Suganeshwari, S. P. Syed Ibrahim, Uday Tupakula, Vijay Varadharajan

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Face morphing detection in the presence of printing/scanning and heterogeneous image sources by Matteo Ferrara, Annalisa Franco, Davide Maltoni

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PLANT DISEASE DETECTION USING DEEP LEARNING by Amrita, Sanjay Kumar Nayak, Rajiv Kumar, Sakshi Tomar

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EVMCSDLT: Electric vehicle mobile charging system using distributed ledger technology by Neha Deshmukh, Vaishali Khairnar, Deepali Vora, Aleksandar Jovanovic, Frédéric Le Mouël

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Lightweight authentication for IoT devices (LAID) in sustainable smart cities by Aqeel Khalique, Farheen Siddiqui, Mohd Abdul Ahad, Imran Hussain

“…Due to constrained nature of IoT, ensuring security in IoT enabled network is a challenge. However, growing urban population and exponential rise in IoT enabled devices make it challenging to implement and ensure security mechanisms. …”
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Distributed denial-of-service (DDoS) on the smart grids based on VGG19 deep neural network and Harris Hawks optimization algorithm by Abdurahim Alhashmi, H. Idwaib, Selçuk Alparslan Avci, Javad Rahebi, Raheleh Ghadami

“…The suggested approach uses the robust feature extraction capability of VGG19-DNN for network traffic pattern analysis to detect abnormal traffic flows indicative of DDoS attacks. …”
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Real-time freshness prediction for Apples and Lettuces using imaging recognition and advanced algorithms in a user-friendly mobile application by Chrysanthos Maraveas, George Kalitsios, Marianna I. Kotzabasaki, Dimitrios V. Giannopoulos, Kosmas Dimitropoulos, Anna Vatsanidou

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Development of Various Stacking Ensemble-Based HIDS Using ADFA Datasets by Hami Satilmis, Sedat Akleylek, Zaliha Yuce Tok

“…The rapid increase in the number of cyber attacks and the emergence of various attack variations pose significant threats to the security of computer systems and networks. Various intrusion detection systems (IDS) are developed to defend computer systems and networks in response to these threats. …”
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An Adaptive Intrusion Detection System for Evolving IoT Threats: An Autoencoder-FNN Fusion by J. Jasmine Shirley, M. Priya

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Deep learning with leagues championship algorithm based intrusion detection on cybersecurity driven industrial IoT systems by Saud S. Alotaibi, Turki Ali Alghamdi

“…However, owing to the constraints of limited resources and computation abilities, IoT networks are subject to different cyber-attacks. …”
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Intrusion Detection and Mitigation Method for the Industrial Internet of Things Using Bidirectional Convolutional Long Short-Term Memory and Deep Recurrent Convolutional Q-Networks by Zhang Yan, Piyush Kumar Shukla, Prashant Kumar Shukla, Kanika Thakur, Anurag Sinha, Saifullah Khalid

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