QTAIM study of the bonding in triosmium trihydride cluster [Os3(µ-H)3(µ3-ɳ2-CC7H3(2-CH3)NS)(CO)8] by Nadia Ezzat Al-kirbasee, Shatha Raheem Helal Alhimidi, Muhsen Abood Muhsen Al-Ibadi

“…For the bridged core part (Os3H3), a 6c–6e multicenter interaction is proposed. The topological parameters computed for the bridging 2-methylbenzothiazolide ligand interactions indicate that all of these interactions are typical related to the covalent bonds with a contribution of some double-bond character.…”
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An efficient trustworthy cyberattack defence mechanism system for self guided federated learning framework using attention induced deep convolution neural networks by Louai A. Maghrabi, Alanoud Subahi, Nouf Atiahallah Alghanmi, Turki Althaqafi, Nahla J. Abid, Nasser N. Albogami, Mahmoud Ragab

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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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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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Enhanced Digital Acoustic Perception in Hearing Aid Device Using Reconfigurable Filter Bank Structure: A Systematic Review with Recommendation by Rekha Karuppaiah, Umadevi Seerengasamy, Nagajayanthi Boobalakrishnan

“…This proposed architecture features reconfigurable sub-band frequencies tailored to the user’s specific hearing loss, utilizing a Coefficient Scanning Mechanism (CSM) and Floating Point-Computation Sharing High-speed Mechanism (FP-CSHM). …”
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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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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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Sub-milliwatt threshold power and tunable-bias all-optical nonlinear activation function using vanadium dioxide for wavelength-division multiplexing photonic neural networks by Jorge Parra, Juan Navarro-Arenas, Pablo Sanchis

“…Our proposed device features a sub-milliwatt threshold power, a footprint of 5 μm, and an ELU-like activation function. …”
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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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FishermaskFormer: Lightweight Remote Sensing Scene Classification With Masked Transformer by Wei Wu, Xianbin Hu, Zhu Li, Xueliang Luo

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Application of a generative adversarial network algorithm to filling blank strips of fractures in formation microresistivity imaging images by Zhengming KANG, Chensheng WU, Guodong YANG, Disheng WU, Ruifei WANG, Xiangyu YANG, Wei GAN

“…ObjectiveGaps between the electrodes of formation microresistivity imaging (FMI) imagers lead to blank strips in the resistivity images of borehole walls, significantly influencing the parameter assessment for fractures near borehole walls. …”
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DFT Prediction of Structural and Physical Properties of Cr₃AlC₂ Under Pressure by Jianhui Yang, Shenghai Fan, Haijun Hou, Qiang Fan

“…In order to explore the electronic properties and bonding features, we carried out computations on the band structure and charge density distribution. …”
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Beam Coefficient Prediction for Antenna Arrays Using Physics-Aware Convolutional Neural Networks by Glendyn D. King, Md Asaduzzaman Towfiq, Ali C. Gurbuz, Bedri A. Cetiner

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Supply Chain Management Using Evolutionary Algorithms by Skitsko Volodymyr I., Voinikov Mykola Yu.

“…Evolutionary algorithms are part of a broader field in artificial intelligence that is evolutionary computing. The article allocates the characteristics of evolutionary algorithms that distinguish them from other algorithms of evolutionary computing, and analyzes the most popular evolutionary algorithms: genetic algorithm, genetic programming, evolutionary programming, evolutionary strategies and differential evolution, in particular, their features and areas of application in supply chain management. …”
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Apoptosis and other immune biomarkers predict influenza vaccine responsiveness by David Furman, Vladimir Jojic, Brian Kidd, Shai Shen‐Orr, Jordan Price, Justin Jarrell, Tiffany Tse, Huang Huang, Peder Lund, Holden T Maecker, Paul J Utz, Cornelia L Dekker, Daphne Koller, Mark M Davis

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