Enhancing medical response efficiency in real-time large crowd environments via smart coverage and deep learning for stable ecological health monitoring by Asma A. Alhashmi, Ghada Moh. Samir Elhessewi, Mukhtar Ghaleb, Nazir Ahmad, Nojood O. Aljehane, Tareq M. Alkhaldi, Hamad Almansour, Samah Al Zanin

“…Furthermore, the Chimp Optimisation Algorithm (CHOA) model is employed for the feature selection (FS) process to select the most significant features from the dataset. …”
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DeepGuard: Enhancing Violence Detection in Smart Cities Through Deep Learning by Md. Al-Mamun Provath, Musfequa Rahman, Kaushik Deb, Pranab Kumar Dhar, Tetsuya Shimamura

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Deep Transfer Learning for Lip Reading Based on NASNetMobile Pretrained Model in Wild Dataset by Ashwaq Waleed Abdul Ameer, Pedram Salehpour, Mohammad Asadpour

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Model Atmosphere Spectrum Fit to the Soft X-Ray Outburst Spectrum of SS Cyg by V. F. Suleimanov, C. W. Mauche, R. Ya. Zhuchkov, K. Werner

“…Because the spectrum resembles the photospheric spectra of super-soft X-ray sources, we tried to fit it with high gravity hot LTE stellar model atmospheres with solar chemical composition, specially computed for this purpose. We obtained a reasonably good fit to the 60–125 °A spectrum with the following parameters: T_eff = 190 kK, log g = 6.2, and NH = 8 · 10¹⁹ cm⁻², although at shorter wavelengths the observed spectrum has a much higher flux. …”
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An enhanced tabu search algorithm for resource-constrained project scheduling with a flexible project structure by Chunlai Yu, Xiaoming Wang, Qingxin Chen

“…The parameters of the algorithm are calibrated using orthogonal experiments, and its efficacy is evaluated through extensive computational experiments conducted on multiple benchmark datasets. …”
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Simple Models for the Dynamic Modeling of Rotating Tires by J.C. Delamotte, R.F. Nascimento, J.R.F. Arruda

“…Detailed FE models are not adequate for optimization and uncertainty predictions either, as in such applications the dynamic solution must be computed a number of times. Therefore, there is a need for simpler models that can capture the physics of the tire and be used to compute the dynamic response with a low computational cost. …”
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Personalized learning in hybrid education by Alaa O. Khadidos, Hariprasath Manoharan, Adil O. Khadidos, Mohammad N. Alanazi, Fuhid Alanazi, Shitharth Selvarajan

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Multi-Task Water Quality Colorimetric Detection Method Based on Deep Learning by Shenlan Zhang, Shaojie Wu, Liqiang Chen, Pengxin Guo, Xincheng Jiang, Hongcheng Pan, Yuhong Li

“…Subsequently, to effectively improve detection accuracy while reducing model parameters and computational load, we implemented several improvements to the deep learning algorithm, including the MGFF (Multi-Scale Grouped Feature Fusion) module, the LSKA-SPPF (Large Separable Kernel Attention-Spatial Pyramid Pooling-Fast) module, and the GNDCDH (Group Norm Detail Convolution Detection Head). …”
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Fuzzy model-based analysis of user feedback for product development insights by Anna Sudár, Borbála Berki, Ildikó Horváth

“…The proposed modeling framework constructs a model that outlines the relationship between measurable parameters of objective and subjective user feedback and the evaluation metrics of software and user capability, motivated by the typical disparity between feedback parameters and capability metrics. …”
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A Low Complexity Linear Precoding Method for Extremely Large-Scale MIMO Systems by Salah Berra, Abderrazak Benchabane, Sourav Chakraborty, Kazuki Maruta, Rui Dinis, Marko Beko

“…As a result, spatial non-stationary features emerge as users view just a section of the antenna array, known as the visibility regions (VRs). …”
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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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Spherical nonthermal pulsational mode stability thermo-statistically moderated with extra-negative ions by Jonmoni Dutta, Ahmed Atteya, Pralay Kumar Karmakar

“…It primarily explores the impact of the realistic nonthermal negative ionic effects on the PMGC stability features. The high-energetic lighter constituents, such as the electrons, positive ions, and negative ions, are modelled with their respective nonthermal kappa (κ)-distribution laws. …”
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Accurate Rotor Temperature Prediction of Permanent Magnet Synchronous Motor in Electric Vehicles Using a Hybrid RIME-XGBoost Model by Jianzhao Shan, Zhongyuan Che, Fengbin Liu

“…RIME-XGBoost utilizes easily monitored dynamic parameters such as motor speed, torque, and currents and voltages in the d-q coordinate system as input features. …”
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Identification of Traffic Accident Hotspots using Network Kernel Density: Application to Galle District in Sri Lanka by T. M. Rengarasu, H. K. I. Arunodi

“…This study aims to identify traffic accident hotspots and establish the correlation between road features and accidents. Network-based Kernel Density Estimators (NKDE) were computed using traffic accident data from 2009 to 2013 for each year for road segments termed lixels. …”
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An Efficient and Secure Session Key Management Scheme in Wireless Sensor Network by Gulzar Mehmood, Muhammad Sohail Khan, Abdul Waheed, Mahdi Zareei, Muhammad Fayaz, Tariq Sadad, Nazri Kama, Azri Azmi

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An insulator target detection algorithm based on improved YOLOv5 by Bing Zeng, Zhihao Zhou, Yu Zhou, Dilin He, Zhanpeng Liao, Zihan Jin, Yulu Zhou, Kexin Yi, Yunmin Xie, Wenhua Zhang

“…Firstly, in the backbone and neck networks, a lightweight CSP-SCConv module is employed to replace the original CSP-Darknet53 module, thereby reducing the parameter count and enhancing the feature extraction capabilities. …”
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Design and Validation of a Multi-Epitope mRNA Vaccine Construct Against Human Monkeypox Virus (hMPXV) by Annotating Protein of Intracellular Mature Virus (IMV) Form of hMPXV by Mohammad Asrar Izhari, Siraj B. Alharthi, Raed A. Alharbi, Ahmad H. A. Almontasheri, Wael A. Alghamdi, Abdulmajeed Abdulghani A. Sindi, Ahmad Abdulmajed Salem, Ali Mahzari, Fahad Alghamdi, Ahmed R. A. Gosady

“…<b>Results</b>: The MPXV-2-Beta vaccine constructs, of the six initially designed constructs, was identified as the most promising candidate, signifying nonallergenic profile and nontoxic features, with a predicted antigenicity score (PAS) = 0.7202, 407 residues, a molecular weight of 43,102.1 Da, pI of 9.2, and favorable stability parameters (AI: 65.65, GRAVY: −0.597, I-i: 25.92). …”
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Lightweight human activity recognition method based on the MobileHARC model by Xingyu Gong, Xinyang Zhang, Na Li

“…However, due to the fact that these models have sequential network structures and are unable to simultaneously focus on local and global features, thus, resulting in a reduction in recognition performance. …”
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Design of a Microwave Quadrature Hybrid Coupler with Harmonic Suppression Using Artificial Neural Networks by Saeed Roshani, Salah I. Yahya, Maher Assaad, Muhammad Akmal Chaudhary, Fawwaz Hazzazi, Yazeed Yasin Ghadi, Saeed Mostafaei, Sobhan Roshani

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3D Model Classification Based on Contrastive Learning by QU Zhongshui, LIU Shan, GAO Yuan, DING Bo

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