Ensemble Method for Anomaly Detection On the Internet of Things by Kurniabudi Kurniabudi, Eko Arip Winanto, Lola Yorita Astri, Sharipuddin Sharipuddin

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Large–Small-Scale Structure Blended U-Net for Brightening Low-Light Images by Hao Cheng, Kaixin Pan, Haoxiang Lu, Wenhao Wang, Zhenbing Liu

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Multi-anchor adaptive fusion and bi-focus attention for enhanced gait-based emotion recognition by Jincheng Li, Xuejing Dai, Ruiao Yan, Chengqing Tang, Yunpeng Li

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GEAAD: generating evasive adversarial attacks against android malware defense by Naveed Ahmad, Amjad Saleem Rana, Hassan Jalil Hadi, Faisal Bashir Hussain, Prasun Chakrabarti, Mohammed Ali Alshara, Tulika Chakrabarti

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A Survey on Android Malware Detection Techniques Using Supervised Machine Learning by Safa J. Altaha, Ahmed Aljughaiman, Sonia Gul

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Adaptive Anomaly Detection Framework Model Objects in Cyberspace by Hasan Alkahtani, Theyazn H. H. Aldhyani, Mohammed Al-Yaari

“…Accordingly, the monitoring of computers and networks is too complicated for network administrators. …”
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Framework to analyze and exploit the smart home IoT firmware by Keshav Kaushik, Akashdeep Bhardwaj, Susheela Dahiya

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DeepGuard: real-time threat recognition using Golden Jackal optimization with deep learning model by Fatma S. Alrayes, Hamed Alqahtani, Wahida Mansouri, Asma Alshuhail, Wafa Sulaiman Almukadi, Ahmed Mahmud

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YOLOT: Multi-scale and diverse tire sidewall text region detection based on You-Only-Look-Once(YOLOv5) by Dehua Liu, Yongqin Tian, Yibo Xu, Wenyi Zhao, Xipeng Pan, Xu Ji, Mu Yang, Huihua Yang

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Interpretable Learning Method Based on Causal Interactive Attention by Wu Song, Sheng Ren, Bin Hu

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An Interpretable Method for Anomaly Detection in Multivariate Time Series Predictions by Shijie Tang, Yong Ding, Huiyong Wang

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Dense-Fusion2Net a more efficient and lightweight short speech speaker recognition system with time-frequency channel attention by Fei Deng, Rui Huang, Peifan Jiang, Lin Yu, Lihong Deng

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A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis by Salman Muneer, Umer Farooq, Atifa Athar, Muhammad Ahsan Raza, Taher M. Ghazal, Shadman Sakib

“…Intrusion detection (ID) is critical in securing computer networks against various malicious attacks. …”
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UNION: A Trust Model Distinguishing Intentional and Unintentional Misbehavior in Inter-UAV Communication by Ezedin Barka, Chaker Abdelaziz Kerrache, Nasreddine Lagraa, Abderrahmane Lakas, Carlos T. Calafate, Juan-Carlos Cano

“…Hence, the communications interface used and that computation complexity are additional factors to consider when designing secure protocols for these networks. …”
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A hybrid super learner ensemble for phishing detection on mobile devices by Routhu Srinivasa Rao, Cheemaladinne Kondaiah, Alwyn Roshan Pais, Bumshik Lee

“…Abstract In today’s digital age, the rapid increase in online users and massive network traffic has made ensuring security more challenging. …”
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Two-Stage Video Violence Detection Framework Using GMFlow and CBAM-Enhanced ResNet3D by Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, Mahmoud Abdalla, Mahmoud Salaheldin Kasem, Hyun-Soo Kang

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Historical Blurry Video-Based Face Recognition by Lujun Zhai, Suxia Cui, Yonghui Wang, Song Wang, Jun Zhou, Greg Wilsbacher

“…Face recognition is a widely used computer vision, which plays an increasingly important role in user authentication systems, security systems, and consumer electronics. …”
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BDSER-InceptionNet: A Novel Method for Near-Infrared Spectroscopy Model Transfer Based on Deep Learning and Balanced Distribution Adaptation by Jianghai Chen, Jie Ling, Nana Lei, Lingqiao Li

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Intrusion Detection Using Machine Learning for Risk Mitigation in IoT-Enabled Smart Irrigation in Smart Farming by Abhishek Raghuvanshi, Umesh Kumar Singh, Guna Sekhar Sajja, Harikumar Pallathadka, Evans Asenso, Mustafa Kamal, Abha Singh, Khongdet Phasinam

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Accelerating Deep Learning-Based Morphological Biometric Recognition with Field-Programmable Gate Arrays by Nourhan Zayed, Nahed Tawfik, Mervat M. A. Mahmoud, Ahmed Fawzy, Young-Im Cho, Mohamed S. Abdallah

“…Convolutional neural networks (CNNs) are increasingly recognized as an important and potent artificial intelligence approach, widely employed in many computer vision applications, such as facial recognition. …”
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