A Deep Learning Model Leveraging Time-Series System Call Data to Detect Malware Attacks in Virtual Machines by A. Alfred Raja Melvin, Jaspher W. Kathrine, Andrew Jeyabose, D. Cenitta

“…Abstract A Tenant Virtual Machine (TVM) user in the cloud may misuse its computing power to launch malware attack against other tenant VMs, Host OS, Hypervisor, or any other computing devices/resources inside the cloud environment of a Cloud Service Provider. …”
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A Novel Federated Learning Framework for Sustainable and Efficient Breast Cancer Classification System (FL-L₂CNN-BCDet) by Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy

“…The proposed DL architecture employs attention mechanisms, convolutional layers, and LSTMs to extract and analyze features and uses techniques to prevent overfitting and manage imbalanced data. …”
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Heterogeneous virus classification using a functional deep learning model based on transmission electron microscopy images by Niloy Sikder, Md. Al-Masrur Khan, Anupam Kumar Bairagi, Mehedi Masud, Jun Jiat Tiang, Abdullah-Al Nahid

“…Abstract Viruses are submicroscopic agents that can infect other lifeforms and use their hosts’ cells to replicate themselves. Despite having simplistic genetic structures among all living beings, viruses are highly adaptable, resilient, and capable of causing severe complications in their hosts’ bodies. …”
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Detection of cyber attacks in electric vehicle charging systems using a remaining useful life generative adversarial network by Hayriye Tanyıldız, Canan Batur Şahin, Özlem Batur Dinler, Hazem Migdady, Kashif Saleem, Aseel Smerat, Amir H. Gandomi, Laith Abualigah

“…To test the technique’s effectiveness, we assess this approach on attack scenarios, including network and host attacks on the EV charger (Electric Vehicle Supply Equipment—EVSE) in idle and charging states. …”
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Skyrmion-based synaptic element with strain-mediated plasticity by Jasmine Kaur, Sneh Saurabh, Shubham Sahay

“…Furthermore, a VGG-8 convolutional neural network utilizing the proposed synaptic element as weights achieves an accuracy of ∼90.39% after training on the CIFAR-10 dataset.…”
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Estimating Aggregate Capacity of Connected DERs and Forecasting Feeder Power Flow With Limited Data Availability by Amir Reza Nikzad, Amr Adel Mohamed, Bala Venkatesh, John Penaranda

“…Our proposal comprises: 1) ovel deep learning-based architecture with a few convolutional neural network and long short-term memory (CNN-LSTM) modules to represent feeder connected aggregate models of DERs and loads and associated training algorithms; 2) method for estimating aggregate capacities of connected renewables and loads; and 3) method for short-term (hourly) high-resolution forecasting. …”
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Balancing Data Privacy and 5G VNFs Security Monitoring: Federated Learning with CNN + BiLSTM + LSTM Model by Abdoul-Aziz Maiga, Edwin Ataro, Stanley Githinji

“…However, these virtual network functions (VNFs) are exposed to internet threats when hosted in the cloud, resulting in new security challenges. …”
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Redescripción de Haliotrematoides mediohamides (Monogenea: Dactylogyridae), un parásito branquial del sargo Calamus brachysomus (Perciformes: Sparidae) del océano Pacífico orient... by Celso Luis Cruces, Jhon Darly Chero, Gloria Sáez, José Luis Luque

“… The monogenean Haliotrematoides mediohamides Kritsky & Mendoza-Franco, 2009 (Monogenea: Dactylogyridae) is redescribed based on examination of the type specimen (paratypes) and newly collected specimens parasitizing the gills of the Pacific porgy, Calamus brachysomus (Lockington, 1880) (Perciformes: Sparidae) (type host), a neritic fish captured off the coastal zone of Puerto Pizarro, Tumbes, Peru. …”
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Co-Infection of <i>Culex tarsalis</i> Mosquitoes with Rift Valley Fever Phlebovirus Strains Results in Efficient Viral Reassortment by Emma K. Harris, Velmurugan Balaraman, Cassidy C. Keating, Chester McDowell, J. Brian Kimble, Alina De La Mota-Peynado, Erin M. Borland, Barbara Graham, William C. Wilson, Juergen A. Richt, Rebekah C. Kading, Natasha N. Gaudreault

“…Reassortment events can produce novel genotypes with altered virulence, transmission dynamics, and/or mosquito host range. This can have severe implications in areas where RVFV is endemic and convolutes our ability to anticipate transmission and circulation in novel geographic regions. …”
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Cloud Detection Challenge-Methods and Results by Alessio Barbaro Chisari, Luca Guarnera, Alessandro Ortis, Wladimiro Carlo Patatu, Bruno Casella, Luca Naso, Giuseppe Puglisi, Vincenzo del Zoppo, Mario Valerio Giuffrida, Sebastiano Battiato

“…Submissions proposed a wide-range of AI-based approaches, including Transformer and Convolutional Neural Network architectures, showcasing the potential of advanced image analysis techniques in lidar-based cloud detection. …”
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A Hybrid Brain Tumor Classification Using FL With FedAvg and FedProx for Privacy and Robustness Across Heterogeneous Data Sources by N. Sivakumar, Ahmad Raza Khan, Syed Umar, R. N. Ravikumar, I. Bremnavas, Munindra Lunagaria, Krunal Vaghela, Ghanshyam G. Tejani, Sunil Kumar Sharma

“…This framework combines Federated Averaging (FedAvg) and Federated Proximal (FedProx) to train Convolutional Neural Networks (CNN) on data hosted by multiple clients. …”
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Self-similar Decomposition of the Hierarchical Merger Tree of Dark Matter Halos by Wenkang Jiang, Jiaxin Han, Fuyu Dong, Feihong He

“…., for sub-subhalos) through self-convolutions of the level-1 PMF, and the resulting model shows good agreement with simulation measurements. …”
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Epidemics In The 21st Century: A Multifaceted Challenge by Shawana Sharif

“…The surge in non-communicable diseases, including obesity, diabetes, and cardiovascular ailments, amplifies the burden on healthcare systems and demands multifaceted preventive measures. Amidst the convoluted landscape of epidemics, medical professionals confront an amalgamation of challenges. …”
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Editorial by Howard Nothhaft

“… On September 28 and 29, 2023, the University of Johannesburg’s Department for Strategic Communication hosted an international conference in conjunction with its sister department at Lund University, Sweden. …”
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