Highly accurate anomaly based intrusion detection through integration of the local outlier factor and convolutional neural network by Rahimullah Rabih, Hamed Vahdat-Nejad, Wathiq Mansoor, Javad Hassannataj Joloudari

“…Abstract Intrusion detection systems (IDS) are critical for safeguarding computer networks by identifying malicious activities. …”
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Real-time detection and localization of honeycomb defects in concrete pillars using hybrid deep learning models by Sourav Kumar Das, Biswarup Yogi, Raj Majumdar, Pritha Ghosh, Satyabrata Roy

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Developing a Serious Video Game to Engage the Upper Limb Post-Stroke Rehabilitation by Jaime A. Silva, Manuel F. Silva, Hélder P. Oliveira, Cláudia D. Rocha

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Smart parking: intelligent intrusion detection system in VANET enabled car parking system by S Vijayalakshmi, S Bose, G Logeswari, N Maheswaran

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Cryptocurrency Forecasting Using Deep Learning Models: A Comparative Analysis by Rachid Bourday, Issam Aatouchi, Mounir Ait Kerroum, Ali Zaaouat

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Physics-Informed Neural Networks for Enhanced State Estimation in Unbalanced Distribution Power Systems by Petros Iliadis, Stefanos Petridis, Angelos Skembris, Dimitrios Rakopoulos, Elias Kosmatopoulos

“…The proposed method is evaluated on four IEEE test feeders—IEEE 13, 34, 37, and 123—using synthetic datasets generated via OpenDSS to emulate realistic operating scenarios, and demonstrates significant improvements over baseline models. …”
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Toward resource-efficient UAV systems: Deep learning model compression for onboard-ready weed detection in UAV imagery by Alwaseela Abdalla, Masara M.A. Mohammed, Oluwatola Adedeji, Peter Dotray, Wenxuan Guo

“…The importance of each parameter was evaluated using a Taylor expansion-based criterion. …”
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Sinh-Cosh Optimization-Based Efficient Clustering for Big Data Applications by Lahbib Khrissi, Mohammed Es-Sabry, Nabil El Akkad, Hassan Satori, Saad Aldosary, Walid El-Shafai

“…Clustering, serving as an unsupervised data analysis technique, is employed to discern homogeneous groups of objects by evaluating the values of their attributes. To overcome the above-mentioned drawbacks, we have proposed in this article a new metaheuristic based on a mathematical model called Sinh Cosh Optimizer (SCHO). …”
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Land Cover Mapping From Multiple Complementary Experts Under Heavy Class Imbalance by Valerie Zermatten, Xiaolong Lu, Javiera Castillo-Navarro, Tobias Kellenberger, Devis Tuia

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Review of Authentication, Blockchain, Driver ID Systems, Economic Aspects, and Communication Technologies in DWC for EVs in Smart Cities Applications by Narayanamoorthi Rajamanickam, Pradeep Vishnuram, Dominic Savio Abraham, Miroslava Gono, Petr Kacor, Tomas Mlcak

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A Novel Differential Exchange Parallel Great Wall Construction Algorithm for Efficient Multilevel Image Segmentation by Jeng-Shyang Pan, Rongli Zhang, Shu-Chuan Chu, Xiao Sui, Junzo Watada

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Lightweight YOLOv5s Model for Early Detection of Agricultural Fires by Saydirasulov Norkobil Saydirasulovich, Sabina Umirzakova, Abduazizov Nabijon Azamatovich, Sanjar Mukhamadiev, Zavqiddin Temirov, Akmalbek Abdusalomov, Young Im Cho

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Comparative Model Efficiency Analysis Based on Dissimilar Algorithms for Image Learning and Correction as a Means of Fault-Finding by Joe Benganga, Tshepo Kukuni, Ben Kotze, Lepekola Lenkoe

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BeyondLife: An Open-Source Digital Will Solution for Posthumous Data Management by Xinzhang Chen, Arash Shaghaghi, Jesse Laeuchli, Salil S. Kanhere

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Feature Selection Techniques for Enhancing App User Review Analysis by Amran Salleh, Mohd Hafeez Osman, Sa'Adah Hassan, Mar Yah Said

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A Streaming Algorithm for Online Estimation of Temporal and Spatial Extent of Delays by Kittipong Hiriotappa, Suttipong Thajchayapong, Pimwadee Chaovalit, Suporn Pongnumkul

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A Variational Inference-Based LSTM-Enhanced Deep Neural Model for Sequential Recommendations by Armielle Noulapeu Ngaffo, Ines Raissa Djouela Kamgang, Ebenezer Maka Maka, Yannick Malong

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How to measure consumer's inconsistency in sensory testing? by László Sipos, Kolos Csaba Ágoston, Péter Biró, Sándor Bozóki, László Csató

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A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching by Jose Moises Araya-Martinez, Jose Moises Araya-Martinez, Vinicius Soares Matthiesen, Vinicius Soares Matthiesen, Simon Bøgh, Jens Lambrecht, Rui Pimentel de Figueiredo

“…Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. …”
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Granulosa cell transcription is similarly impacted by superovulation and aging and predicts early embryonic trajectories by Klaudija Daugelaite, Perrine Lacour, Ivana Winkler, Marie-Luise Koch, Anja Schneider, Nina Schneider, Francesca Coraggio, Alexander Tolkachov, Xuan Phuoc Nguyen, Adriana Vilkaite, Julia Rehnitz, Duncan T. Odom, Angela Goncalves

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