Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data by Jiancheng Zhong, Zuohang Qu, Ying Zhong, Chao Tang, Yi Pan

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Investigating phase regimes via combinatorial synthesis: A pathway to tailored materials libraries by K. Russell, C.A. Kohnke, J.R. Trelewicz, A.M. Hodge

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RFID-Based Real-Time Salt Concentration Monitoring with Adaptive EKF by Renhai Feng, Xinyi Lin

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An Institutional Theory Framework for Leveraging Large Language Models for Policy Analysis and Intervention Design by J. de Curtò, I. de Zarzà, Leandro Sebastián Fervier, Victoria Sanagustín-Fons, Carlos T. Calafate

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Deciphering the topological landscape of glioma using a network theory framework by Mengchao Yao, Yang Su, Ruiqi Xiong, Xile Zhang, Xiaomei Zhu, Yong-Cong Chen, Ping Ao

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Artificial Intelligence in Data Science: Evaluating Forecasting Models for Solar Energy in the Amazon Basin by Andre Luis Ferreira Marques, Ricardo Sbragio, Pedro Luiz Pizzigatti Correa, Marcelo Ramos Martins

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Intangible Capital: Digital Colors in Romanesque Cloisters by Adriana Rossi, Sara Gonizzi Barsanti, Silvia Bertacchi

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Intelligent Recognition and Parameter Estimation of Radar Active Jamming Based on Oriented Object Detection by Jiawei Lu, Yiduo Guo, Weike Feng, Xiaowei Hu, Jian Gong, Yu Zhang

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Finite-Time Mass Estimation Using ℋ_∞ and Sliding Mode Control for a Multicopter by Carlos Augusto Arellano-Muro, Guillermo Luis Osuna-González, Riccardo Cespi

“…To avoid these constraints, the latest drone flight controls are based on quaternion models, ensuring more advanced computational performances. To this aim, this paper deals with a flight control algorithm of a quadrotor, in which the mathematics model of the plant is defined in terms of quaternions. …”
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Comparative analysis of force sensitive resistor circuitry for use in force myography systems for hand gesture recognition by Giancarlo K. Sagastume, Peyton R. Young, Marcus A. Battraw, Justin G. Kwong, Jonathon S. Schofield

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Assessment of the Distributed Ledger Technology for Energy Sector Industrial and Operational Applications Using the MITRE ATT&CK® ICS Matrix by Annabelle Lee, Sri Nikhil Gupta Gourisetti, David Jonathan Sebastian-Cardenas, Kent Lambert, Vicente Navarro, Marco Pasetti, Umit Cali, Kateryna Isirova, Ramesh Reddi, Puica Nitu, Md. Touhiduzzaman, Michael Mylrea, Philip Huff, Farrokh Rahimi, Shammya Shananda Saha

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Predicting visual field global and local parameters from OCT measurements using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Erik Meijering, Michael Kalloniatis

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Blockchain-Enhanced Attribute-Based Encryption Architecture With Feasibility Analysis by Agustin Ferrer-Rojas, Bodhaswar T. Maharaj, Mduduzi C. Hlophe

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A feature explainability-based deep learning technique for diabetic foot ulcer identification by Pramod Singh Rathore, Abhishek Kumar, Amita Nandal, Arvind Dhaka, Arpit Kumar Sharma

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Explainable AI-Based Ensemble Clustering for Load Profiling and Demand Response by Elissaios Sarmas, Afroditi Fragkiadaki, Vangelis Marinakis

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Using the Zero Trust Five-Step Implementation Process with Smart Environments: State-of-the-Art Review and Future Directions by Shruti Kulkarni, Alexios Mylonas, Stilianos Vidalis

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Enhanced urban driving scene segmentation using modified UNet with residual convolutions and attention guided skip connections by Siddhant Arora, Ahaan Banerjee, Nitish Katal

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Implementation of SLAM-Based Online Mapping and Autonomous Trajectory Execution in Software and Hardware on the Research Platform Nimbulus-e by Thomas Schmitz, Marcel Mayer, Theo Nonnenmacher, Matthias Schmitz

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An Optimized Core Distribution Adaptive Topology Reconfiguration Algorithm for NoC-Based Embedded Systems by Bowen Hou, Dali Xu, Fangfa Fu, Bing Yang, Na Niu

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A Review on the Lifetime Estimation Methods of XLPE Power Cables by Mohammad AlShaikh Saleh, Alamera Nouran Alquennah, Ali Ghrayeb, Shady S. Refaat, Haitham Abu-Rub, Sunil P. Khatri

“…This article next examines artificial intelligence–based life models, a cutting-edge approach that integrates traditional knowledge with advanced computational techniques, such as machine learning and data analytics, for enhanced prediction of cable life expectancy. …”
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