Graphon Neural Networks-Based Detection of False Data Injection Attacks in Dynamic Spatio-Temporal Power Systems by Rachad Atat, Abdulrahman Takiddin, Muhammad Ismail, Erchin Serpedin

“…This allows to leverage the learning by transference on the graphs to address the computational complexity and environmental concerns of training on large-scale systems, and the dynamicity resulting from the spatio-temporal evolution of power systems. …”
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Simulation and Prediction of Injection Pressure in CO2 Geological Sequestration Based on Improved LSO Algorithm and BP Neural Networks by Miaomiao Liu, Xiaofei Fu, Shanpo Jia, Yongsheng Zhang, Yuying Zhang, Dan Yao

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Parameter analysis and optimization of polling-based medium access control protocol for multi-sensor communication by Jialin Guo, Fufang Li, Tian Wang, Shaobo Zhang, Yuqing Zhao

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Predicting wind power using LSTM, Transformer, and other techniques by Arun Kumar M, Rithick Joshua K, Sahana Rajesh, Caroline Dorathy Esther J, Kavitha Devi MK

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Real-Time Adaptive Content-Based Synchronization of Multimedia Streams by Imad H. Elhajj, Nadine Bou Dargham, Ning Xi, Yunyi Jia

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A content awareness module for predictive lossless image compression to achieve high throughput data sharing over the network storage by Asif Rajput, Jianqiang Li, Faheem Akhtar, Zahid Hussain Khand, Jason C Hung, Yan Pei, Anko Börner

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An Inductive Link-Based Wireless Power Transfer System for Biomedical Applications by M. A. Adeeb, A. B. Islam, M. R. Haider, F. S. Tulip, M. N. Ericson, S. K. Islam

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Mathematical Modeling and Optimal Control Strategy for a Discrete Time Drug Consumption Model by Abderrahim Labzai, Abdelfatah Kouidere, Bouchaib Khajji, Omar Balatif, Mostafa Rachik

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A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique by T. Bharath Kumar, Deepak Prashar, Gayatri Vaidya, Vipin Kumar, S. Deva Kumar, F. Sammy

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Hybrid Modified K-Means with C4.5 for Intrusion Detection Systems in Multiagent Systems by Wathiq Laftah Al-Yaseen, Zulaiha Ali Othman, Mohd Zakree Ahmad Nazri

“…Presently, the processing time and performance of intrusion detection systems are of great importance due to the increased speed of traffic data networks and a growing number of attacks on networks and computers. Several approaches have been proposed to address this issue, including hybridizing with several algorithms. …”
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Gender and Handedness Prediction from Offline Handwriting Using Convolutional Neural Networks by Ángel Morera, Ángel Sánchez, José Francisco Vélez, Ana Belén Moreno

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Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey by Cristina Carunta, Alina Carunta, Calin-Adrian Popa

“…Semantic segmentation is an important computer vision task due to its numerous real-world applications such as autonomous driving, video surveillance, medical image analysis, robotics, augmented reality, among others, and its popularity increased with the development of deep learning approaches. …”
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Open-world barely-supervised learning via augmented pseudo labels by Zhongnian Li, Yanyan Ding, Meng Wei, Xinzheng Xu

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Evaluation of a Scalable Information Analytics System for Enhanced Situational Awareness in Mass Casualty Events by Aura Ganz, James M. Schafer, Zhuorui Yang, Jun Yi, Graydon Lord, Gregory Ciottone

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Measuring the Inferential Values of Relations in Knowledge Graphs by Xu Zhang, Xiaojun Kang, Hong Yao, Lijun Dong

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A Layered Searchable Encryption Scheme with Functional Components Independent of Encryption Methods by Guangchun Luo, Ningduo Peng, Ke Qin, Aiguo Chen

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Automatic Segmentation of Ischemic Stroke Lesions in CT Perfusion Maps Using Deep Learning Networks by Lida Zare Lahijan, Saeed Meshgini, Reza Afrouzian

“…The current standard approach for segmenting ischemic stroke lesions is based on thresholding of computed tomography perfusion (CTP) maps. However, this detection approach is inaccurate (the dice similarity coefficient is around 68%). …”
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Effect of physical activity on structural asymmetry of mouse hippocampus by T. A. Zapara, A. V. Romashchenko, A. L. Proskura, A. S. Ratushnyak

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Massive Scrotal Hematoma due to Ruptured Anastomotic Pseudoaneurysm in a Patient with Aortobifemoral Bypass Surgery: CTA Evaluation by Magdalini Smarda, Dimitrios Fagkrezos, Ilias Dodos, Anastasios Potouridis, Dimitrios Staramos, Charikleia Triantopoulou, Petros Maniatis

“…Ultrasound evaluation revealed a massive scrotal hematoma. Computed tomography angiography (CTA) was conducted, confirming the aortobifemoral graft existence and revealing bilateral anastomotic pseudoaneurysms with the left one being ruptured, resulting in extension of the hematoma to the left femoro-inguinal region and the scrotum. …”
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Hybrid Movie Recommendation System With User Partitioning and Log Likelihood Content Comparison by Yongmao Yang, Kampol Woradit, Kenneth Cosh

“…The Alternating Least Squares (ALS) method, in particular, stands out for its ability to process data in parallel, thereby enhancing computational efficiency. However, when dealing with an original rating matrix, the ALS method may inadvertently sacrifice some information, leading to increased error rates. …”
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