A novel cyber threat intelligence platform for evaluating the risk associated with smart agriculture by Navod Neranjan Thilakarathne, Muhammad Saifullah Abu Bakar, Pg Emeroylariffion Abas, Hayati Yassin

“…This escalating threat landscape poses a severe issue across diverse domains where IoT is deployed, including agriculture, healthcare, and surveillance. …”
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Residential Density and Illegal Waste Dumping In Cities by Mahamba C, and Ruhiiga TM

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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

“…These capabilities are particularly valuable for completing complex tasks efficiently. However, deploying multi-robot SLAM in agricultural settings presents significant challenges. …”
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EPRNG: Effective Pseudo-Random Number Generator on the Internet of Vehicles Using Deep Convolution Generative Adversarial Network by Chenyang Fei, Xiaomei Zhang, Dayu Wang, Haomin Hu, Rong Huang, Zejie Wang

“…Several deep learning-based RNGs have been deployed to train the initial value and generate pseudo-random numbers. …”
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Design of an Improved Method for Visual Rendering in the Metaverse Using CIEM and MSRANet by Janapati Venkata Krishna, Priyanka Singh, Regonda Nagaraju, Setti Vidya Sagar Appaji, Attuluri Uday Kiran, K. Spandana

“…On the whole, these models have substantially improved the state of the art of metaverse rendering, with far-reaching ramifications for future virtual reality environments by improving the user experience to become more immersive, personalize and efficient.…”
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Detection of Adversarial Attacks Using Deep Learning and Features Extracted From Interpretability Methods in Industrial Scenarios by Angel Luis Perales Gomez, Lorenzo Fernandez Maimo, Alberto Huertas Celdran, Felix J. Garcia Clemente

“…However, the effectiveness of this approach needs to be proven in the field of Anomaly Detection on industrial environments, where adversarial training has critical limitations. …”
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NOMA-Based Rate Optimization for Multi-UAV-Assisted D2D Communication Networks by Guowei Wu, Guifen Chen, Xinglong Gu

“…However, the efficient coordination of these techniques in complex and changing 3D environments still faces many challenges. To this end, this paper proposes a NOMA-based multi-UAV-assisted D2D communication model in which multiple UAVs are deployed in 3D space to act as airborne base stations to serve ground-based cellular users with D2D clusters. …”
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Techno-structural and 3-D geometric morphometric analysis applied for investigating the variability of Holocene unifacial tools in tropical Central Brazil. by Marina González-Varas, Antoine Lourdeau, Letícia Gonçalves, Rafael Lemos de Souza, Diego Teixeira Mendes, Tatyana Beltrão de Oliveira, Gustavo Furlaneto Silva, Hubert Forestier, Rolando Romero, Antonio Pérez-Balarezo

“…During the transition from the Pleistocene to the Holocene and in the early Holocene period, hunter-gatherer communities across tropical South America deployed a range of technological strategies to adapt to diverse environmental conditions. …”
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A Survey on Adversarial Attacks for Malware Analysis by Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam, Pradip Kunwar, Bhavani Thuraisingham

“…Machine learning-based malware analysis approaches are widely researched and deployed in critical infrastructures for detecting and classifying evasive and growing malware threats. …”
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Stability and Efficacy of Live-Attenuated Vibrio harveyi Vaccines Under Different Storage Conditions in Zebrafish (Danio rerio) Models by Mohd Hafiz Ngoo Muhamad-Sofie, Aslah Mohamad, Mohamad Azzam-Sayuti, Mohammad Noor Azmai Amal, Mohd Zamri-Saad, Md Shirajum Monir, Ina Salwany Md Yasin

“… • The analysis of the LAVh vaccine emphasized its versatility, as it can be quickly deployed and stored as a freeze-dried powder. • The LAVh vaccine can be easily accessible and user-friendly in various aquaculture environments, such as offshore and remote farms. …”
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