STL-ELM: A computationally efficient hybrid approach for predicting high volatility stock market by Temitope Olubanjo Kehinde, Oluyinka J. Adedokun, Morenikeji Kabirat Kareem, Joseph Akpan, Oludolapo A. Olanrewaju

“…With faster runtimes and minimal memory usage, STL-ELM is tailored for real-time trading applications and high-frequency financial forecasting, offering institutional investors, traders, and financial analysts a competitive edge in volatile markets. …”
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YOLO-SR: An optimized convolutional architecture for robust ship detection in SAR Imagery by Chi Kien Ha, Hoanh Nguyen, Vu Duc Van

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Characterization of Copper(II) Interactions with Sinefungin, a Nucleoside Antibiotic: Combined Potentiometric, Spectroscopic and DFT Studies by Maria Jaworska, Piotr Lodowski, Ariel Mucha, Wojciech Szczepanik, Gianni Valensin, Massimo Cappannelli, Malgorzata Jezowska-Bojczuk

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An integrated geographic information system (GIS) and analytical hierarchy process (AHP)-based approach for drone-optimized large-scale flood imaging by Muhammad Farhan Nazir, Salman Atif, Ejaz Hussain

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Comprehensive Bioinformatics Method to Explore Immune-Related Genes in the Pathogenesis of Myocardial Infarction by Xin Zhang, Yiren Yao, Ying Ding, Wenting Yan, Yang Gu, Xiwen Zhang, Xiaojin Xu

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Market Regime Identification and Variable Annuity Pricing: Analysis of COVID-19-Induced Regime Shifts in the Indian Stock Market by Mohammad Sarfraz, Guglielmo D’Amico, Dharmaraja Selvamuthu

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Machine learning assisted plasmonic metascreen for enhanced broadband absorption in ultra-thin silicon films by Waqas W. Ahmed, Haicheng Cao, Changqing Xu, Mohamed Farhat, Muhammad Amin, Xiaohang Li, Xiangliang Zhang, Ying Wu

“…Abstract We propose and demonstrate a data-driven plasmonic metascreen that efficiently absorbs incident light over a wide spectral range in an ultra-thin silicon film. …”
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Antitumor Activity of 6-(cyclohexylamino)-1,3-dimethyl-5(2-pyridyl)furo[2,3-d]pyrimidine-2,4(1H,3H)-dione and Its Ti(IV), Zn(II), Fe(III), and Pd(II) Complexes on K562 and Jurkat C... by Fahmideh Shabani, Shahriar Ghammamy, Khayroallah Mehrani, Mohammad Bagher Teimouri, Masoud Soleimani, Saeid Kaviani

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Machine learning based risk analysis and predictive modeling of structure fire related casualties by Andres Schmidt, Eric Gemmil, Russ Hoskins

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Digital twins: Recent advances and future directions in engineering fields by Kamran Iranshahi, Joshua Brun, Tim Arnold, Thomas Sergi, Ulf Christian Müller

“…This review paper investigates different aspects of Digital Twins, especially their application throughout the product lifecycle and across diverse engineering domains. …”
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Enhancing CNN-based network intrusion detection through hyperparameter optimization by Antanios Kaissar, Ali Bou Nassif, Bassel Soudan, MohammadNoor Injadat

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Decoding legal processes: AI-driven system to streamline processing of the criminal records in Moroccan courts by Taoufiq El Moussaoui, Chakir Loqman, Jaouad Boumhidi

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Diorganotin Complexes of a Thiosemicarbazone, Synthesis: Properties, X-Ray Crystal Structure, and Antiproliferative Activity of Diorganotin Complexes by Joanna Wiecek, Dimitra Kovala-Demertzi, Zbigniew Ciunik, Maria Zervou, Mavroudis A. Demertzis

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Arsenic Primes Human Bone Marrow CD34+ Cells for Erythroid Differentiation by Yuanyuan Zhang, Shasha Wang, Chunyan Chen, Xiao Wu, Qunye Zhang, Fan Jiang

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Melanin-Based Coatings as Lead-Binding Agents by Karin Sono, Diane Lye, Christine A. Moore, W. Christopher Boyd, Thomas A. Gorlin, Jason M. Belitsky

“…The binding properties of natural melanin and related synthetic materials can be exploited for nonbiological applications, potentially including water purification. …”
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Combining Experimental and Computational Tools to Unravel Copper-Based Metallodrug Interactions With Proteins by Quim Peña, Iker Zapirain-Gysling, A. Jalila Simaan, Mercè Capdevila, Olga Iranzo, Òscar Palacios, Jean-Didier Maréchal, Pau Bayón

“…Altogether, an example of the applicability of a mixed experimental–theoretical framework in the study of Cu-based drug interactions with relevant proteins is shown.…”
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Unraveling the potential of blockchain technology in enhancing supply chain traceability: A systematic literature review and modeling with ISM by Reza Payandeh, Ahmad Delbari, Fatemeh Fardad, Javad Helmzadeh, Sanaz Shafiee, Ali Rajabzadeh Ghatari

“…We adopt a mixed-methods approach, incorporating both secondary and primary data to ensure robust analysis. Our study addresses essential questions regarding the application, advantages, limitations, challenges, integration with other technologies, and future potential of blockchain in supply chain traceability. …”
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Vulnerability detection using BERT based LLM model with transparency obligation practice towards trustworthy AI by Jean Haurogné, Nihala Basheer, Shareeful Islam

“…AI has emerged as a promising solution to enhance vulnerability detection, offering the ability to analyse vast amounts of data and identify patterns indicative of potential threats. …”
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The Adsorption Potential of Cr from Water by ZnO Nanoparticles Synthesized by Azolla pinnata by Ou Wenjie, Waqas Ahmed, Fu Xiuxian, Wang Lu, Li Jiannan, Yang Jie, Rana Muhammad Ammar Asghar, Mohsin Mahmood, Juha M. Alatalo, Muhammad Imtiaz, Weidong Li, Sajid Mehmood

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Experimental composable key distribution using discrete-modulated continuous variable quantum cryptography by Adnan A. E. Hajomer, Florian Kanitschar, Nitin Jain, Michael Hentschel, Runjia Zhang, Norbert Lütkenhaus, Ulrik L. Andersen, Christoph Pacher, Tobias Gehring

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