Tensile Properties And Electrical Conductivity Of Linear Low-Density Polyethylene (LLDPE)/Carbon Black Conductive Polymer Composites (CPCs) : Effect Of Compounding Parameters by K.A. Abdul Halim, M.A.A. Mohd Salleh, M.M.A Abdullah, A.A. Rozaimi, F. Badrul, A.F. Osman, M.F. Omar, M.S. Zakaria, B. Jeż

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Aspect-based approach to measure performance of financial services using voice of customer by Vishal Vyas, V. Uma, Kumar Ravi

“…In this regard, we introduced a computational framework for ranking a set of banking institutions based on people’s opinion. …”
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An objective measure for assessing the quality of contrast enhancement on magnetic resonance images by Simi Venuji Renuka, Damodar Reddy Edla, Justin Joseph

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CoTHSSum: Structured long-document summarization via chain-of-thought reasoning and hierarchical segmentation by Xiaoyong Chen, Zhiqiang Chen, Shi Cheng

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Fish Disease Detection Using Image Based Machine Learning Technique in Aquaculture by Md Shoaib Ahmed, Tanjim Taharat Aurpa, Md. Abul Kalam Azad

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EduFuncSum: a function-wise progressive transformer for code summarization in undergraduate programming education by Yi Rong, Manping Xu, Roubing Li, Lin Xin, Wenting Bao

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Recent progress in triboelectric platforms: engineering materials to industrial applications from the perspective of manufacturing by Yoonsang Ra, Minjun Song, Donghan Lee, Sunmin Jang, Yu-seop Kim, Joonmin Chae, Sumin Cho, Dongik Kam, Donghyun Lee, Gibeom Lee, Younghoon Lee, Dongwhi Choi

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Strengthening of Inertial Dust Removal in Impingement Flow Dust Removal Array by HE Ge, HU Xianfeng, LIU Zekun, CHEN Kehong, WEI Wenyun, YU Hui

“…The impingement flow dust removal array consists of dust removal columns, specifically composed of several dust removal columns uniformly arranged in three-dimensional space based on certain rules, with spacing between columns to allow the passage of dust-bearing gas. The computational fluid dynamics (CFD) method is utilized to simulate the particle removal process of the array to obtain a relatively better arrangement of the equidistant impingement flow dust collection array for subsequent experiments. …”
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Agent‐based versus correlative models of species distributions: Evaluation of predictive performance with real and simulated data by Jukka Sirén, Panu Somervuo, Otso Ovaskainen

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Automation of the Formation of a Mathematical Formulation of Kinetics for Multistage Chemical Reactions and Numerical Solution to a Direct Problem by N. A. Lysenko, K. F. Koledina

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Exploring the best fit: A comparative analysis of AFINN, Textblob, VADER, and Pattern on Arabic reviews for optimal dictionary extraction by Shakeel Ahmad, Sheikh Muhammad Saqib, Asif Hassan Syed, Nashwan Alromema, Ali Kararay

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<i>Building Natural Language Generation Systems</i> Ehud Reiter and Robert Dale (University of Aberdeen and Macquarie University) Cambridge University Press (Studies in natural lan... by Helmut Horacek

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Historical Documents and Automatic Text Recognition: Introduction by Ariane Pinche, Peter Stokes

“…More and more research projects now include automatic text acquisition in their data processing chain, and this is true not only for projects focussed on Digital or Computational Humanities but increasingly also for those that are simply using existing digital tools as the means to an end. …”
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Design and Assessment of an Austenitic Stainless Alloy for Laser Powder Bed Additive Manufacturing by Mariam Assi, Julien Favre, Marcin Brykala, Franck Tancret, Anna Fraczkiewicz

“…Recent developments in metallic additive manufacturing (AM) processes for the production of high-performance industrial pieces have been hampered by the limited availability of reliably processable or printable alloys. …”
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M18K: A Multi-Purpose Real-World Dataset for Mushroom Detection, 3D Pose Estimation, and Growth Monitoring by Abdollah Zakeri, Mulham Fawakherji, Jiming Kang, Bikram Koirala, Venkatesh Balan, Weihang Zhu, Driss Benhaddou, Fatima A. Merchant

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Comprehensive study of rapid capacity fade in prismatic Li-ion cells with flexible packaging by Zuzana Stravova, Ondrej Klvac, Jiri Bana, Bihag Anothumakkool, Tomas Zikmund, Pavel Blazek, Jozef Kaiser, Tomas Kazda

“…The inner structure of the entire cell is visualized non-destructively by X-ray computed tomography (CT), enabling the identification of critical design flaws prior to electrochemical cycling. …”
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Development of Deep Learning Simulation and Density Functional Theory Framework for Electrocatalyst Layers for PEM Electrolyzers by Jaydev Zaveri, Shankar Raman Dhanushkodi, Michael W. Fowler, Brant A. Peppley, Dawid Taler, Tomasz Sobota, Jan Taler

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Achieving Equity via Transfer Learning With Fairness Optimization by Xiaoyang Wang, Chia-Hsuan Chang, Christopher C. Yang

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Building digital histology models of transcriptional tumor programs with generative deep learning for pathology-based precision medicine by Hanna M. Hieromnimon, James Dolezal, Kristina Doytcheva, Frederick M. Howard, Sara Kochanny, Zhenyu Zhang, Robert L. Grossman, Kevin Tanager, Cindy Wang, Jakob Nikolas Kather, Evgeny Izumchenko, Nicole A. Cipriani, Elana J. Fertig, Alexander T. Pearson, Samantha J. Riesenfeld

“…Then, we used deep learning techniques to train a computational model to predict the activity levels of the transcriptional programs directly from histology images. …”
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A Novel Scale for Inconsistency Reduction in the Pair-Wise Comparison Matrices by MalyadaVommi Amukta, Vommi Vijaya babu

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