Quantum Hardware Devices (QHDs): Opportunities and Challenges by Aziz Oukaira

“…This review focuses on the core building blocks of quantum computing qubits, quantum gates, registers, and chipsets, while emphasizing the pivotal role of advanced architectures, such as Field-Programmable Gate Arrays (FPGAs) and Digital Signal Processors (DSPs), in optimizing quantum information processing. …”
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Automated decision making in Barrett’s oesophagus: development and deployment of a natural language processing tool by Agathe Zecevic, Laurence Jackson, Xinyue Zhang, Polychronis Pavlidis, Jason Dunn, Nigel Trudgill, Shahd Ahmed, Pierfrancesco Visaggi, Zanil YoonusNizar, Angus Roberts, Sebastian S. Zeki

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A Self-Adaptive Parameter Optimization Algorithm in a Real-Time Parallel Image Processing System by Ge Li, Xuehe Zhang, Jie Zhao, Hongli Zhang, Jianwei Ye, Weizhe Zhang

“…Simulation results showed that the ALBPO algorithm has great merits on load balance performance, realizing the optimization of QoS for each processor, fulfilling the balance requirements of servo circle, precision, and robustness of the parallel processed vision servo system.…”
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Energy Demand Response in a Food-Processing Plant: A Deep Reinforcement Learning Approach by Philipp Wohlgenannt, Sebastian Hegenbart, Elias Eder, Mohan Kolhe, Peter Kepplinger

“…Although RL is slightly less efficient in cost reduction, it significantly outperforms in computational speed, being approximately 20 times faster. …”
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Task distribution offloading algorithm of vehicle edge network based on DQN by Haitao ZHAO, Tangwei ZHANG, Yue CHEN, Houlin ZHAO, Hongbo ZHU

“…In order to achieve the best balance between latency,computational rate and energy consumption,for a edge access network of IoV,a distribution offloading algorithm based on deep Q network (DQN) was considered.Firstly,these tasks of different vehicles were prioritized according to the analytic hierarchy process (AHP),so as to give different weights to the task processing rate to establish a relationship model.Secondly,by introducing edge computing based on DQN,the task offloading model was established by making weighted sum of task processing rate as optimization goal,which realized the long-term utility of strategies for offloading decisions.The performance evaluation results show that,compared with the Q-learning algorithm,the average task processing delay of the proposed method can effectively improve the task offload efficiency.…”
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Reinforcement Learning for Data-driven Workflows in Radio Interferometry. I. Principal Demonstration in Calibration by Brian M. Kirk, Urvashi Rau, Ramyaa Ramyaa

“…Data gathered by an interferometer require substantial processing before astronomers can extract scientific information from them. …”
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Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies. by Mario Pannunzi, Thomas Nowotny

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Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions by Gundala Pallavi, Rangarajan Prasanna Kumar

“…Quantum Natural Language Processing (QNLP) is a relatively new subfield of research that extends the application of principles of natural language processing and quantum computing that has enabled the processing of complex biological information to unprecedented levels. …”
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Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans. by Mei Zhan, Matthew M Crane, Eugeni V Entchev, Antonio Caballero, Diana Andrea Fernandes de Abreu, QueeLim Ch'ng, Hang Lu

“…Increasingly, the capacity for high-throughput experimentation provided by new imaging modalities, contrast techniques, microscopy tools, microfluidics and computer controlled systems shifts the experimental bottleneck from the level of physical manipulation and raw data collection to automated recognition and data processing. …”
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Recyclable bio-based polylactic acid gas-liquid membrane contactor for carbon capture process by Kamyll Dawn Cocon, Alexandre Duvieusart, Cristhian Molina-Fernández, Yusak Hartanto, Patricia Luis

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Comprehensive Study of CoCrCuNi High-Entropy Alloys: Effects of Preparation, Heat Treatment, Computational Simulation, and Alloying Elements by Fachang Zhao, Xingming Zhao, Tianzhi Jiang, Rongda Zhao, Fufa Wu

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A Proposed Method of Automating Data Processing for Analysing Data Produced from Eye Tracking and Galvanic Skin Response by Javier Sáez-García, María Consuelo Sáiz-Manzanares, Raúl Marticorena-Sánchez

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A Machine-Learning-Based Data Science Framework for Effectively and Efficiently Processing, Managing, and Visualizing Big Sequential Data by Alfredo Cuzzocrea, Islam Belmerabet, Abderraouf Hafsaoui, Carson K. Leung

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Advanced Identification of Prosodic Boundaries, Speakers, and Accents Through Multi-Task Audio Pre-Processing and Speech Language Models by Francisco Javier Lima Florido, Gloria Corpas Pastor

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Computational model for mammalian circadian oscillator: interacting with NAD+/SIRT1 pathway and age-related changes in gene expression of circadian oscillator by N. L. Podkolodnyy, N. N. Tverdokhleb, O. A. Podkolodnaya

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A computational analysis revealed BES1 transcription factor and β-amylase as crosstalk elements in Upland cotton species (Gossypium sp.) by Ronald Oswaldo Villamar-Torres, Camilo Alexander Mestanza Uquillas, Héctor David Chévez-Vera, Marcos Raúl Heredia-Pinos, Christopher Robin Viot, Seyed Mehdi Jazayeri

“…In a computational analysis comparing Arabidopsis and Gossypium species, BAM and BES1 were characterized. …”
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Synthesis guided by multivariate analysis of computational descriptors and electrochemical evaluation of aniline-based Schiff bases as potential corrosion inhibitors in acidic medi... by Carlos Andrés Coy-Barrera, Lili Dahiana Becerra, Vicky Carolina Gonzalez, Diego Quiroga

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Analisis Keaktifan Siswa Melalui Computer Based Instruction Model Simulasi dalam Pembelajaran IPA di MI 01 Rejang Lebong by Zahratul Fitria, Andi Prastowo

“… Natural Science Learning (IPA) which is often considered difficult in the learning process takes place, It aims to reveal the application of Natural Science (IPA) learning using Computer Based Instructions to improve the activeness of learning sisswa. …”
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High-resolution computed tomography enhances the diagnosis and follow-up of influenza A (H1N1) virus-associated pneumonia by Cristina AP Fontes, Alair Augusto SMD dos Santos, Solange A de Oliveira

“… Introduction: We present the findings on high-resolution computed tomography (HRCT) of influenza A (H1N1) virus-associated pneumonia of 140 patients with acute and post-acute pneumonia, totaling 189 exams in a retrospective observational study evaluating the importance of HRCT as a diagnostic imaging method in the acute phase and in the follow-up of pneumonia. …”
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Evolution of strain field and crack prediction in cemented paste backfill specimens based on digital image correlation and computer vision recognition model by Huanbao Zhang, Tao Gao, Fulin Wang, Qibin Lin, Shenchen Zhang, Changhui Zou, Shijiao Yang, Haiyang He

“…The developed computer vision recognition model (HSV-CVR), based on hue, saturation, and value color patterns, processes strain field data to quantify the proportions of various strain regions. …”
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