Acute Myeloid Leukemia (AML) Detection Using AlexNet Model by Maneela Shaheen, Rafiullah Khan, R. R. Biswal, Mohib Ullah, Atif Khan, M. Irfan Uddin, Mahdi Zareei, Abdul Waheed

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PAGR: Accelerating Global Routing for VLSI Design Flow by Roman A. Solovyev, Ilya A. Mkrtchan, Dmitry V. Telpukhov, Ilya I. Shafeev, Aleksandr Y. Romanov, Yevgeniy V. Stolbikov, Alexander L. Stempkovsky

“…We also detail our methods for parallel calculations and computing graph edge weights. Experimental results show that while the current Python implementation does not achieve high routing speeds, the solution’s quality measured in contest metrics (wire length, via, overflow) is comparable to top contestants. …”
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Prediction of Quality Food Sale in Mart Using the AI-Based TOR Method by Daniyal Irfan, Xuan Tang, Vipul Narayan, Pawan Kumar Mall, Swapnita Srivastava, V. Saravanan

“…Unsupervised predictor is a technique that is used in all upbringings and algometry computations, and it is the foundation of all of them. …”
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Application of the Improved Multipopulation Genetic Algorithm in the TMD Controlled System considering Soil-Structure Interaction by Wei Nie, Shuxian Liu, Hang Yin, Shasha Lu, Dongxu Zhao, Hong Xu

“…With the advent of globalization, computing speed has increased tremendously, greatly advancing algorithm research in multiple fields. …”
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Exploration and Analysis of Collaborative Matching Algorithm Empowering Large Data Fiscal Budget by Rui Gong, Xu Zhang

“…The superposition effect of “data + computing power + algorithm + scenario” can help enterprises make better decisions. …”
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Prescribed-time trajectory tracking control for a class of nonlinear system by Lichao Feng, Chunlei Zhang, Mahmoud Abdel-Aty, Jinde Cao, Fawaz E. Alsaadi

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Community Core Evolution in Mobile Social Networks by Hao Xu, Weidong Xiao, Daquan Tang, Jiuyang Tang, Zhenwen Wang

“…Also, community cores can be tracked through the incremental computing, which can help to recognize the evolving of community structure. …”
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Brain MRI Segmentation with Multiphase Minimal Partitioning: A Comparative Study by Elsa D. Angelini, Ting Song, Brett D. Mensh, Andrew F. Laine

“…Quantitative evaluation of segmentation accuracy was performed with comparison to manual segmentation computing true positive and false positive volume fractions. …”
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Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (Neuro-Fuzzy Network) Method in Forest Degradation (Case Study: Sari County) by somayeh mehrabadi

“…The classical methods, also known as hard methods, are based on the accuracy of calculations, while the real world is founded on the inaccuracy of boundaries and the uncertainties, which is more consistent with soft computing methods. Each of these methods has its own strengths and weaknesses, and the hybridization theory was introduced to solve these problems. …”
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The Development of Microhistorical Databases in Norway. A Historiography by Gunnar Thorvaldsen, Lars Holden

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Intuitionistic Hesitant Fuzzy Rough Aggregation Operator-Based EDAS Method and Its Application to Multi-Criteria Decision-Making Problems by Muhammad Kamraz Khan, Muhammad Sajjad Ali Khan, Kamran, Ioan-Lucian Popa

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Food Quality Inspection and Grading Using Efficient Image Segmentation and Machine Learning-Based System by V. Hemamalini, S. Rajarajeswari, S. Nachiyappan, M. Sambath, T. Devi, Bhupesh Kumar Singh, Abhishek Raghuvanshi

“…This means that, by utilizing computer vision and image processing techniques, time-consuming and subjective industrial quality control processes can be eliminated. …”
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Innovative approach of nomography application into an engineering educational context. by Trevor Blight, Pedro Martínez-Pagán, Leif Roschier, Daniel Boulet, Lorena Yepes-Bellver, Víctor Yepes

“…The past century saw nomography grow as a graphical computing method used by scientists and engineers wishing to solve complex problems to a practical precision. …”
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Enhancing Solar Convection Analysis With Multi‐Core Processors and GPUs by Arash Heidari, Zahra Amiri, Mohammad Ali Jabraeil Jamali, Nima Jafari Navimipour

“…A lot of this study is about how to use both multi‐core computers and GPUs to do math work about solar energy at the same time. …”
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Peptidomic analysis of whey protein hydrolysates and prediction of their antioxidant peptides by Jesus Morales García, Chibuike C. Udenigwe, Jorge Duitama, Andrés Fernando González Barrios

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Extensions of Riordan Arrays and Their Applications by Paul Barry

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Causality-driven candidate identification for reliable DNA methylation biomarker discovery by Xinlu Tang, Rui Guo, Zhanfeng Mo, Wenli Fu, Xiaohua Qian

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Time-selective data fusion for in-network processing in ad hoc wireless sensor networks by Jaanus Kaugerand, Johannes Ehala, Leo Mõtus, Jürgo-Sören Preden

“…We propose time-selective data fusion strategy, which combines temporal alignment, temporal constraints and a method for computing delay of sensor readings, to allow fusion node to select the temporally compatible data from received streams. …”
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Neural Network of Predictive Motor Timing in the Context of Gender Differences by Pavel Filip, Jan Lošák, Tomáš Kašpárek, Jiří Vaníček, Martin Bareš

“…This promotes the view that predictive temporal computing utilizes comparable structures in the retrospective timing processes, but with a definite dominance of the cerebellum.…”
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Stacking ensemble learning with heterogeneous models and selected feature subset for prediction of service trust in internet of medical things by Junyu Ren, Haibin Wan, Chaoyang Zhu, Tuanfa Qin

“…To address the challenges, fog computing is generally employed in IoMT systems. However, it raises additional concerns of trust and security. …”
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