Intrusion detection in software defined network using deep learning approaches by M. Sami Ataa, Eman E. Sanad, Reda A. El-khoribi

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A comparative study of the use of extended reality simulation in neonatal resuscitation training by Mustafa Yalin Aydin, Vernon Curran, Susan White, Lourdes Peña-Castillo, Oscar Meruvia-Pastor

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Unlocking seismic slope stability for risk assessment by Wang Yiheng, Fadzli Mohamed Nazri, Ahmad Mohamad El-Maissi, Siti Rahyla Rahmat, Azleena Mohd Kassim, Shankar Karuppayah

“…This study addresses the urgent need for precise evaluation of seismic slope stability, a subject that has gained significant attention in earthquake engineering over the past decade. …”
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Optimization of spatio-temporal ozone (O3) pollution modeling using an ensemble machine model learning with a swarm-based metaheuristic algorithm by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Armin Sorooshian, Lingbo Liu, Shuming Bao, Soo-Mi Choi

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A novel edge-feature attention fusion framework for underwater image enhancement by Shuai Shen, Haoyi Wang, Weitao Chen, Pingkang Wang, Qianyong Liang, Xuwen Qin, Xuwen Qin

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A Social-Network-Based Crowd Selection Approach for Crowdsourcing Mobile Apps Requirements Engineering Tasks by Ghadah Alamer, Sultan Alyahya, Hmood Al-Dossari

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Automatic Chest CT Image Findings of Novel Coronavirus Pneumonia (COVID-19) Using U-Net Based Convolutional Neural Network by S. Akila Agnes, J. Anitha, A. Arun Solomon

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Rice Leaf Nutrient Deficiency Classification System Using CAR-Capsule Network by M. Amudha, K. Brindha

“…The proposed model was evaluated against CNN and the original CapsNet. CAR-CapsNet outperformed both baseline models in the experiments. …”
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GeneRiskCalc: a web-based tool for genetic risk association analysis in case–control studies by Amrit Sudershan, Kuljeet Singh, Parvinder Kumar

“…Using an HTML/CSS/JavaScript framework, we developed online software with three core functionalities: (1) automated HWE evaluation, (2) odds ratio with 95% confidence interval computation with statistical validation, and (3) dynamic Forest Plot generation for data visualization. …”
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Assessing the Fidelity and Utility of Water Systems Data Using Generative Adversarial Networks: A Technical Review by Md Nazmul Kabir Sikder, Yingjie Wang, Feras A. Batarseh

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A precise machine learning model: Detecting cervical cancer using feature selection and explainable AI by Rashiduzzaman Shakil, Sadia Islam, Bonna Akter

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Transformer-Based Vulnerability Detection in IoT Firmware Binaries Using Opcode Sequences by M. Nandish, Jalesh Kumar, H. G. Mohan, M. V. Manoj Kumar

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Remote Aerial Vehicle Solutions for Weed Detection in Precision Agriculture by Shekhar S. Borah, Aryan Anand, Prabha Sundaravadivel, Reginald Fletcher, Krishna N. Reddy

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Digiphysical Approach in Post-COVID Rehabilitation: Process-Oriented Tool Support and Solution Patterns by Martin Henkel, Erik Perjons, Kristian Borg, Uno Fors, Jan Johansson, Marika C. Möller, Christer Wåhlander

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Improving trajectory classification through Kramers–Moyal coefficients by G. Viera-López, J.J. Morgado-Vega, A. Reyes, E. Altshuler, Yudivián Almeida-Cruz, Giorgio Manganini

“…Here we propose a novel vector representation for trajectories that combines previously employed features with new ones derived from the computation of the Kramers–Moyal coefficients (KMC). …”
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Multi-Stage Image Aesthetic Assessment via Chain-of-Thought Reasoning by Zhenglang Jiang, Jianhao Liu, Hongming Li, Yue Liu, Yu Song

“…Image Aesthetic Assessment (IAA) is an crucial task in computer vision, aiming to quantify the aesthetic quality of images. …”
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Dimensions of Job Demands Among New-Generation Employees Based on Online Reviews by Employees by Yanrong Hu, Lixin Zhou, Ping Huang, Qingyang Liu, Hongjiu Liu

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A compact deep learning approach integrating depthwise convolutions and spatial attention for plant disease classification by Amreen Batool, Jisoo Kim, Yung-Cheol Byun

“…Furthermore, many of these models are computationally expensive and less suitable for deployment in resource-constrained environments such as farms and rural areas. …”
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A Self-Supervised Monocular Depth Estimation Framework Based on Detail Recovery and Feature Fusion by Shun Li, Chongzheng Huang, Xiangzhe Li, Zhengyou Liang

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Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma by Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry

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